Skip to content

Instantly share code, notes, and snippets.

@catdance124

catdance124/conference_papers_list.ipynb

Last active June 16, 2020 09:41
Show Gist options
  • Save catdance124/d298a028e809e3648952e0355a337c21 to your computer and use it in GitHub Desktop.
Save catdance124/d298a028e809e3648952e0355a337c21 to your computer and use it in GitHub Desktop.
Download ZIP
conference_papers_list.ipynb
Display the source blob
Display the rendered blob
Raw
conference_papers_list.ipynb
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "conference_papers_list.ipynb",
"provenance": [],
"authorship_tag": "ABX9TyM6lCRgRBpv9o6uNNEUq6fp",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/catdance124/d298a028e809e3648952e0355a337c21/conference_papers_list.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "fHCMeAp-BQSV",
"colab_type": "text"
},
"source": [
"CVPR2020の論文リストcsvを作成する"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "MBPdeUFPqcSj",
"colab_type": "text"
},
"source": [
"# 参考\n",
"https://qiita.com/Chanmoro/items/db51658b073acddea4ac \n",
"https://qiita.com/hujuu/items/b0339404b8b0460087f9 "
]
},
{
"cell_type": "code",
"metadata": {
"id": "MjUIvQe-mxG8",
"colab_type": "code",
"colab": {}
},
"source": [
"import requests\n",
"from bs4 import BeautifulSoup\n",
"\n",
"# スクレイピング対象の URL にリクエストを送り HTML を取得する\n",
"res = requests.get('http://cvpr2020.thecvf.com/program/main-conference')"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "MgUfMljFnXM5",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"outputId": "77090c6b-b80d-4a42-9d48-22bd0f2268f9"
},
"source": [
"# レスポンスの HTML から BeautifulSoup オブジェクトを作る\n",
"soup = BeautifulSoup(res.text, 'html.parser')\n",
"title_text = soup.find('title').get_text()\n",
"print(title_text)"
],
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"text": [
"Main Conference | CVPR2020\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "xvK4DKaHqMzX",
"colab_type": "text"
},
"source": [
"# 動作確認\n",
"ここはただの試行錯誤のメモ"
]
},
{
"cell_type": "code",
"metadata": {
"id": "az9h5Z0Ro0GP",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 545
},
"outputId": "d3676fbd-c1e5-43e8-c6c5-d69657401ed6"
},
"source": [
"# テーブルを指定\n",
"table = soup.findAll(\"table\", {\"class\":\"table table-bordered\"})[0]\n",
"rows = table.findAll(\"tr\")\n",
"print(rows[0], '\\n')\n",
"print(rows[1], '\\n')\n",
"\n",
"# column番号で表示\n",
"for row in rows[:3]:\n",
" for col_n, cell in enumerate(row.findAll('td')):\n",
" print(col_n, cell.get_text())"
],
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"text": [
"<tr class=\"blue-bottom\">\n",
"<th>Poster #</th>\n",
"<th>Video Time 1</th>\n",
"<th>Video Time 2</th>\n",
"<th>Paper Title</th>\n",
"<th>Author(s)</th>\n",
"<th>Paper ID</th>\n",
"</tr> \n",
"\n",
"<tr>\n",
"<td>1</td>\n",
"<td>10:00</td>\n",
"<td>22:00</td>\n",
"<td>Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild</td>\n",
"<td>Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi</td>\n",
"<td>7</td>\n",
"</tr> \n",
"\n",
"0 1\n",
"1 10:00\n",
"2 22:00\n",
"3 Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild\n",
"4 Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi\n",
"5 7\n",
"0 2\n",
"1 10:05\n",
"2 22:05\n",
"3 Footprints and Free Space From a Single Color Image\n",
"4 Jamie Watson, Michael Firman, Aron Monszpart, Gabriel J. Brostow\n",
"5 2582\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "r0is7OtZq0Br",
"colab_type": "text"
},
"source": [
"書式\n",
"```\n",
"<tr>\n",
"<td>Poster #</td>\n",
"<td>Time1</td>\n",
"<td>Time2</td>\n",
"<td>Paper Title</td>\n",
"<td>Author(s)</td>\n",
"<td>Paper ID</td>\n",
"</tr>\n",
"```\n",
"columnの番号だと3, 4が必要"
]
},
{
"cell_type": "code",
"metadata": {
"id": "OjxuuZ1CyQS-",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 52
},
"outputId": "e7355a49-ea98-4b51-bc1a-cfef1e77b2b4"
},
"source": [
"[cell.get_text() for cell in row.findAll('td')][3:5]"
],
"execution_count": 4,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"['Footprints and Free Space From a Single Color Image',\n",
" 'Jamie Watson, Michael Firman, Aron Monszpart, Gabriel J. Brostow']"
]
},
"metadata": {
"tags": []
},
"execution_count": 4
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "usz9Tspqt9Ym",
"colab_type": "text"
},
"source": [
"# papers取得\n",
"メインのとこ(CVPR2020)"
]
},
{
"cell_type": "code",
"metadata": {
"id": "vBIfo0jws2Bu",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"outputId": "88516408-17c8-4d76-dfd0-c8159f3e35f5"
},
"source": [
"import csv\n",
"\n",
"tables = soup.findAll(\"table\", {\"class\":\"table table-bordered\"})\n",
"with open(\"cvpr2020.csv\", \"w\", encoding='utf-8') as file:\n",
" writer = csv.writer(file)\n",
" for table in tables:\n",
" for row in table.findAll(\"tr\"):\n",
" cells = [cell.get_text() for cell in row.findAll('td')]\n",
" if len(cells) != 0:\n",
" paper_title = cells[3]\n",
" first_author = cells[4].split(',')[0]\n",
" print(first_author, ',', paper_title)\n",
" writer.writerow([first_author, paper_title])"
],
"execution_count": 8,
"outputs": [
{
"output_type": "stream",
"text": [
"Shangzhe Wu , Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild\n",
"Jamie Watson , Footprints and Free Space From a Single Color Image\n",
"Simron Thapa , Dynamic Fluid Surface Reconstruction Using Deep Neural Network\n",
"Boyang Deng , CvxNet: Learnable Convex Decomposition\n",
"Zhiqin Chen , BSP-Net: Generating Compact Meshes via Binary Space Partitioning\n",
"Yinyu Nie , Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes From a Single Image\n",
"Zhihao Xia , Generating and Exploiting Probabilistic Monocular Depth Estimates\n",
"Wang Yifan , Neural Cages for Detail-Preserving 3D Deformations\n",
"Shunsuke Saito , PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization\n",
"Kathryn Heal , A Lighting-Invariant Point Processor for Shading\n",
"Sena Kiciroglu , ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture\n",
"Ziyu Jiang , Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations\n",
"Jonathan Munro , Multi-Modal Domain Adaptation for Fine-Grained Action Recognition\n",
"AJ Piergiovanni , Evolving Losses for Unsupervised Video Representation Learning\n",
"Ziyu Liu , Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition\n",
"Chao-Yuan Wu , A Multigrid Method for Efficiently Training Video Models\n",
"Tushar Nagarajan , Ego-Topo: Environment Affordances From Egocentric Video\n",
"Jiaqi Guan , Generative Hybrid Representations for Activity Forecasting With No-Regret Learning\n",
"Ke Cheng , Skeleton-Based Action Recognition With Shift Graph Convolutional Network\n",
"Zhibo Yang , Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning\n",
"Christoph Feichtenhofer , X3D: Expanding Architectures for Efficient Video Recognition\n",
"Maosen Li , Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction\n",
"Kiana Ehsani , Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects\n",
"Mingyi Zhou , DaST: Data-Free Substitute Training for Adversarial Attacks\n",
"Jeet Mohapatra , Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations\n",
"Yuheng Zhang , The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks\n",
"Muzammal Naseer , A Self-supervised Approach for Adversarial Robustness\n",
"Saehyung Lee , Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization\n",
"Xuanqing Liu , How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework\n",
"Shunta Maeda , Unpaired Image Super-Resolution Using Pseudo-Supervision\n",
"Soheil Kolouri , Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs\n",
"Min Wu , Robustness Guarantees for Deep Neural Networks on Videos\n",
"Yinpeng Dong , Benchmarking Adversarial Robustness on Image Classification\n",
"Alvin Chan , What It Thinks Is Important Is Important: Robustness Transfers Through Input Gradients\n",
"Hongjun Wang , Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking\n",
"Heng Wang , Video Modeling With Correlation Networks\n",
"Jie Li , Projection & Probability-Driven Black-Box Attack\n",
"Linfeng Zhang , Auxiliary Training: Towards Accurate and Robust Models\n",
"Yong-Lu Li , PaStaNet: Toward Human Activity Knowledge Engine\n",
"Jintai Chen , A Hierarchical Graph Network for 3D Object Detection on Point Clouds\n",
"Matheus Gadelha , Learning Generative Models of Shape Handles\n",
"Chang Xiao , One Man’s Trash Is Another Man’s Treasure: Resisting Adversarial Examples by Adversarial Examples\n",
"Dor Verbin , Toward a Universal Model for Shape From Texture\n",
"Chen Song , HybridPose: 6D Object Pose Estimation Under Hybrid Representations\n",
"Jisan Mahmud , Boundary-Aware 3D Building Reconstruction From a Single Overhead Image\n",
"Nilesh Kulkarni , Articulation-Aware Canonical Surface Mapping\n",
"Fu-En Wang , BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion\n",
"Jiayu Wang , Transformation GAN for Unsupervised Image Synthesis and Representation Learning\n",
"Yue Liao , PPDM: Parallel Point Detection and Matching for Real-Time Human-Object Interaction Detection\n",
"Manel Baradad , Height and Uprightness Invariance for 3D Prediction From a Single View\n",
"Mohsen Fayyaz , SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation\n",
"Yancheng Wang , 3DV: 3D Dynamic Voxel for Action Recognition in Depth Video\n",
"Haoxin Li , Adaptive Interaction Modeling via Graph Operations Search\n",
"Yuan Yao , Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction\n",
"Lijun Wang , SDC-Depth: Semantic Divide-and-Conquer Network for Monocular Depth Estimation\n",
"Richard Tucker , Single-View View Synthesis With Multiplane Images\n",
"Dmitriy Smirnov , Deep Parametric Shape Predictions Using Distance Fields\n",
"Yana Hasson , Leveraging Photometric Consistency Over Time for Sparsely Supervised Hand-Object Reconstruction\n",
"Jianhe Yuan , Ensemble Generative Cleaning With Feedback Loops for Defending Adversarial Attacks\n",
"Ceyuan Yang , Temporal Pyramid Network for Action Recognition\n",
"Haotian Yang , FaceScape: A Large-Scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction\n",
"Ke Xian , Structure-Guided Ranking Loss for Single Image Depth Prediction\n",
"Heng Yang , In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction From 2D Landmarks\n",
"Minghao Guo , When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks\n",
"Maosen Li , Towards Transferable Targeted Attack\n",
"Feitong Tan , Self-Supervised Human Depth Estimation From Monocular Videos\n",
"Jianhua Sun , Recursive Social Behavior Graph for Trajectory Prediction\n",
"Huaidong Zhang , Context-Aware and Scale-Insensitive Temporal Repetition Counting\n",
"Weifeng Chen , OASIS: A Large-Scale Dataset for Single Image 3D in the Wild\n",
"Rui Wang , VPLNet: Deep Single View Normal Estimation With Vanishing Points and Lines\n",
"Tianlong Chen , Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning\n",
"Tejas Borkar , Defending Against Universal Attacks Through Selective Feature Regeneration\n",
"Lifeng Huang , Universal Physical Camouflage Attacks on Object Detectors\n",
"Dian Shao , Intra- and Inter-Action Understanding via Temporal Action Parsing\n",
"Xueying Wang , Lightweight Photometric Stereo for Facial Details Recovery\n",
"Huayi Zeng , Bundle Pooling for Polygonal Architecture Segmentation Problem\n",
"Alexandros Lattas , AvatarMe: Realistically Renderable 3D Facial Reconstruction “In-the-Wild”\n",
"Sanjay Kariyappa , Defending Against Model Stealing Attacks With Adaptive Misinformation\n",
"Dawei Yang , Learning to Generate 3D Training Data Through Hybrid Gradient\n",
"Xiaogang Wang , Cascaded Refinement Network for Point Cloud Completion\n",
"Guanlin Li , Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder\n",
"Hyunjun Eun , Learning to Discriminate Information for Online Action Detection\n",
"Cihang Xie , Adversarial Examples Improve Image Recognition\n",
"Rundi Wu , PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes\n",
"Kirill Gavrilyuk , Actor-Transformers for Group Activity Recognition\n",
"Angela Dai , SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans\n",
"Xiaohu Lu , Geometry-Aware Satellite-to-Ground Image Synthesis for Urban Areas\n",
"Hazel Doughty , Action Modifiers: Learning From Adverbs in Instructional Videos\n",
"Lingling Zhang , ZSTAD: Zero-Shot Temporal Activity Detection\n",
"Lei Jin , Geometric Structure Based and Regularized Depth Estimation From 360 Indoor Imagery\n",
"Jingwei Xu , Deep Kinematics Analysis for Monocular 3D Human Pose Estimation\n",
"Yan Li , TEA: Temporal Excitation and Aggregation for Action Recognition\n",
"Dave Epstein , Oops! Predicting Unintentional Action in Video\n",
"Hamid Izadinia , Scene Recomposition by Learning-Based ICP\n",
"Yantao Lu , Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction\n",
"Vivek B.S. , Single-Step Adversarial Training With Dropout Scheduling\n",
"Javier Grau Chopite , Deep Non-Line-of-Sight Reconstruction\n",
"Zhenxing Mi , SSRNet: Scalable 3D Surface Reconstruction Network\n",
"Guyue Hu , Progressive Relation Learning for Group Activity Recognition\n",
"Bin Yan , Cooling-Shrinking Attack: Blinding the Tracker With Imperceptible Noises\n",
"Ranjie Duan , Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles\n",
"Baifeng Shi , Weakly-Supervised Action Localization by Generative Attention Modeling\n",
"Sravanti Addepalli , Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes\n",
"Yucheng Shi , Polishing Decision-Based Adversarial Noise With a Customized Sampling\n",
"Zhengyu Zhao , Towards Large Yet Imperceptible Adversarial Image Perturbations With Perceptual Color Distance\n",
"Joanna Materzynska , Something-Else: Compositional Action Recognition With Spatial-Temporal Interaction Networks\n",
"Despoina Paschalidou , Learning Unsupervised Hierarchical Part Decomposition of 3D Objects From a Single RGB Image\n",
"Maxim Maximov , Focus on Defocus: Bridging the Synthetic to Real Domain Gap for Depth Estimation\n",
"Boyu Wang , Active Vision for Early Recognition of Human Actions\n",
"Xianhang Li , SmallBigNet: Integrating Core and Contextual Views for Video Classification\n",
"Swathikiran Sudhakaran , Gate-Shift Networks for Video Action Recognition\n",
"Pengfei Zhang , Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition\n",
"Ali Dabouei , Exploiting Joint Robustness to Adversarial Perturbations\n",
"K L Navaneet , From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks\n",
"Teng Long , Searching for Actions on the Hyperbole\n",
"Ali Shahin Shamsabadi , ColorFool: Semantic Adversarial Colorization\n",
"Weibin Wu , Boosting the Transferability of Adversarial Samples via Attention\n",
"Mihir Jain , ActionBytes: Learning From Trimmed Videos to Localize Actions\n",
"Haizhong Zheng , Efficient Adversarial Training With Transferable Adversarial Examples\n",
"Song Tao , Alleviation of Gradient Exploding in GANs: Fake Can Be Real\n",
"Yue Zhao , On Isometry Robustness of Deep 3D Point Cloud Models Under Adversarial Attacks\n",
"Sven Gowal , Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations\n",
"Huichen Li , QEBA: Query-Efficient Boundary-Based Blackbox Attack\n",
"Seung Wook Kim , Learning to Simulate Dynamic Environments With GameGAN\n",
"Ahmadreza Jeddi , Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness\n",
"Yue Jiang , SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization\n",
"Zhengqin Li , Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes\n",
"Joo Ho Lee , TextureFusion: High-Quality Texture Acquisition for Real-Time RGB-D Scanning\n",
"Nan Yang , D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry\n",
"Danhang Tang , Deep Implicit Volume Compression\n",
"Dániel Baráth , MAGSAC++, a Fast, Reliable and Accurate Robust Estimator\n",
"Lila Huang , OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression\n",
"Yuxiang Zhang , 4D Association Graph for Realtime Multi-Person Motion Capture Using Multiple Video Cameras\n",
"Gengshan Yang , Upgrading Optical Flow to 3D Scene Flow Through Optical Expansion\n",
"Zhe Li , Robust 3D Self-Portraits in Seconds\n",
"Matias Tassano , FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation\n",
"Givi Meishvili , Learning to Have an Ear for Face Super-Resolution\n",
"Christopher A. Metzler , Deep Optics for Single-Shot High-Dynamic-Range Imaging\n",
"Qilin Sun , Learning Rank-1 Diffractive Optics for Single-Shot High Dynamic Range Imaging\n",
"Mahmoud Afifi , Deep White-Balance Editing\n",
"Sean I. Young , Non-Line-of-Sight Surface Reconstruction Using the Directional Light-Cone Transform\n",
"Jeong Joon Park , Seeing the World in a Bag of Chips\n",
"Shady Abu Hussein , Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers\n",
"Lin Zhu , Retina-Like Visual Image Reconstruction via Spiking Neural Model\n",
"Xin Yuan , Plug-and-Play Algorithms for Large-Scale Snapshot Compressive Imaging\n",
"Jian-Hao Luo , Neural Network Pruning With Residual-Connections and Limited-Data\n",
"Hanting Chen , AdderNet: Do We Really Need Multiplications in Deep Learning?\n",
"Eugene Lee , NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks\n",
"Bohan Zhuang , Training Quantized Neural Networks With a Full-Precision Auxiliary Module\n",
"Dongdong Wang , Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation From a Blackbox Model\n",
"Jinyang Guo , Multi-Dimensional Pruning: A Unified Framework for Model Compression\n",
"Ting-Wu Chin , Towards Efficient Model Compression via Learned Global Ranking\n",
"Mingbao Lin , HRank: Filter Pruning Using High-Rank Feature Map\n",
"Shaopeng Guo , DMCP: Differentiable Markov Channel Pruning for Neural Networks\n",
"Negar Goli , ReSprop: Reuse Sparsified Backpropagation\n",
"Jingwei Huang , Adversarial Texture Optimization From RGB-D Scans\n",
"Tolga Birdal , Synchronizing Probability Measures on Rotations via Optimal Transport\n",
"Kai Han , GhostNet: More Features From Cheap Operations\n",
"Keyang Luo , Attention-Aware Multi-View Stereo\n",
"Abhishek Badki , Bi3D: Stereo Depth Estimation via Binary Classifications\n",
"Zihao W. Wang , Joint Filtering of Intensity Images and Neuromorphic Events for High-Resolution Noise-Robust Imaging\n",
"Guohao Li , SGAS: Sequential Greedy Architecture Search\n",
"Maosheng Ye , HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection\n",
"Hanting Chen , Frequency Domain Compact 3D Convolutional Neural Networks\n",
"Yu-Lun Liu , Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline\n",
"Lizhi Wang , DNU: Deep Non-Local Unrolling for Computational Spectral Imaging\n",
"Liyuan Pan , Single Image Optical Flow Estimation With an Event Camera\n",
"Minye Wu , Multi-View Neural Human Rendering\n",
"Kai Zhang , Depth Sensing Beyond LiDAR Range\n",
"R. Wes Baldwin , Event Probability Mask (EPM) and Event Denoising Convolutional Neural Network (EDnCNN) for Neuromorphic Cameras\n",
"Weijing Shi , Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud\n",
"Wenhan Yang , Self-Learning Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence\n",
"Jin Han , Neuromorphic Camera Guided High Dynamic Range Imaging\n",
"Kai Xu , Learning in the Frequency Domain\n",
"Chenyang Lei , Polarized Reflection Removal With Perfect Alignment in the Wild\n",
"Zan Gojcic , Learning Multiview 3D Point Cloud Registration\n",
"Snehal Bhayani , A Sparse Resultant Based Method for Efficient Minimal Solvers\n",
"Chunle Guo , Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement\n",
"Yao Yao , BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks\n",
"Zhi-Hao Lin , Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis\n",
"Yehui Tang , A Semi-Supervised Assessor of Neural Architectures\n",
"Zhouxia Wang , Learning a Reinforced Agent for Flexible Exposure Bracketing Selection\n",
"Zhaohui Yang , CARS: Continuous Evolution for Efficient Neural Architecture Search\n",
"Dingfu Zhou , Joint 3D Instance Segmentation and Object Detection for Autonomous Driving\n",
"Xin Wei , View-GCN: View-Based Graph Convolutional Network for 3D Shape Analysis\n",
"Huan Wang , Collaborative Distillation for Ultra-Resolution Universal Style Transfer\n",
"Guangming Zang , TomoFluid: Reconstructing Dynamic Fluid From Sparse View Videos\n",
"Tianyu Wang , Instance Shadow Detection\n",
"Yuhui Quan , Self2Self With Dropout: Learning Self-Supervised Denoising From Single Image\n",
"Shangqian Gao , Discrete Model Compression With Resource Constraint for Deep Neural Networks\n",
"Se Jung Kwon , Structured Compression by Weight Encryption for Unstructured Pruning and Quantization\n",
"Lei Li , End-to-End Learning Local Multi-View Descriptors for 3D Point Clouds\n",
"Banglei Guan , Minimal Solutions for Relative Pose With a Single Affine Correspondence\n",
"Xin Wen , Point Cloud Completion by Skip-Attention Network With Hierarchical Folding\n",
"Zehao Yu , Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement\n",
"Haofei Xu , AANet: Adaptive Aggregation Network for Efficient Stereo Matching\n",
"Feng Zhu , Towards Unified INT8 Training for Convolutional Neural Network\n",
"Fumihiko Sakaue , Active 3D Motion Visualization Based on Spatiotemporal Light-Ray Integration\n",
"Changlin Li , Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation\n",
"Shan You , GreedyNAS: Towards Fast One-Shot NAS With Greedy Supernet\n",
"Yang He , Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration\n",
"Shaohui Liu , DIST: Rendering Deep Implicit Signed Distance Function With Differentiable Sphere Tracing\n",
"Yicun Liu , Visually Imbalanced Stereo Matching\n",
"Yuesong Wang , Mesh-Guided Multi-View Stereo With Pyramid Architecture\n",
"Ziwei Wang , BiDet: An Efficient Binarized Object Detector\n",
"Shaifali Parashar , Local Non-Rigid Structure-From-Motion From Diffeomorphic Mappings\n",
"Nicolas Scheiner , Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar\n",
"Tianzhe Wang , APQ: Joint Search for Network Architecture, Pruning and Quantization Policy\n",
"An Xu , On the Acceleration of Deep Learning Model Parallelism With Staleness\n",
"Ji Hou , RevealNet: Seeing Behind Objects in RGB-D Scans\n",
"Peiye Liu , MemNAS: Memory-Efficient Neural Architecture Search With Grow-Trim Learning\n",
"Matthew Tancik , StegaStamp: Invisible Hyperlinks in Physical Photographs\n",
"Yuning You , L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks\n",
"Kenichiro Tanaka , Polarized Non-Line-of-Sight Imaging\n",
"Qing Jin , AdaBits: Neural Network Quantization With Adaptive Bit-Widths\n",
"Hang Dong , Multi-Scale Boosted Dehazing Network With Dense Feature Fusion\n",
"Jiahui Huang , ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings\n",
"Haichuan Yang , Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach\n",
"Uday Kusupati , Normal Assisted Stereo Depth Estimation\n",
"Zhe Zhang , Fusing Wearable IMUs With Multi-View Images for Human Pose Estimation: A Geometric Approach\n",
"Victor Fragoso , gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors\n",
"Mihir Prabhudesai , Embodied Language Grounding With 3D Visual Feature Representations\n",
"Charles Herrmann , Learning to Autofocus\n",
"Lin Liu , Joint Demosaicing and Denoising With Self Guidance\n",
"Haotong Qin , Forward and Backward Information Retention for Accurate Binary Neural Networks\n",
"Jing Jin , Light Field Spatial Super-Resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization\n",
"Daniel Hernandez-Juarez , A Multi-Hypothesis Approach to Color Constancy\n",
"Ke Xu , Learning to Restore Low-Light Images via Decomposition-and-Enhancement\n",
"Soumyadip Sengupta , Background Matting: The World Is Your Green Screen\n",
"Huanjing Yue , Supervised Raw Video Denoising With a Benchmark Dataset on Dynamic Scenes\n",
"Kenji Enomoto , Photometric Stereo via Discrete Hypothesis-and-Test Search\n",
"Thomas Verelst , Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference\n",
"Xishan Zhang , Fixed-Point Back-Propagation Training\n",
"Nikolaos Passalis , Heterogeneous Knowledge Distillation Using Information Flow Modeling\n",
"Zhaowei Cai , Rethinking Differentiable Search for Mixed-Precision Neural Networks\n",
"Jie Liu , Residual Feature Aggregation Network for Image Super-Resolution\n",
"Le Yang , Resolution Adaptive Networks for Efficient Inference\n",
"Sungyong Baik , Learning to Forget for Meta-Learning\n",
"Yuesong Nan , Deep Learning for Handling Kernel/model Uncertainty in Image Deconvolution\n",
"Renjie Wan , Reflection Scene Separation From a Single Image\n",
"Chenchi Luo , Wavelet Synthesis Net for Disparity Estimation to Synthesize DSLR Calibre Bokeh Effect on Smartphones\n",
"Joseph Ortiz , Bundle Adjustment on a Graph Processor\n",
"Malte Pedersen , 3D-ZeF: A 3D Zebrafish Tracking Benchmark Dataset\n",
"Sachit Menon , PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models\n",
"Pei Sun , Scalability in Perception for Autonomous Driving: Waymo Open Dataset\n",
"Zhenpei Yang , Extreme Relative Pose Network Under Hybrid Representations\n",
"Andreas Meuleman , Single-Shot Monocular RGB-D Imaging Using Uneven Double Refraction\n",
"Zhengqin Li , Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF From a Single Image\n",
"Vitor Guizilini , 3D Packing for Self-Supervised Monocular Depth Estimation\n",
"Xiaodong Gu , Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching\n",
"Cenek Albl , From Two Rolling Shutters to One Global Shutter\n",
"Christopher Choy , Deep Global Registration\n",
"Shuo Cheng , Deep Stereo Using Adaptive Thin Volume Representation With Uncertainty Awareness\n",
"Thomas Schöps , Why Having 10,000 Parameters in Your Camera Model Is Better Than Twelve\n",
"Mathieu Labussière , Blur Aware Calibration of Multi-Focus Plenoptic Camera\n",
"Jinglei Shi , Learning Fused Pixel and Feature-Based View Reconstructions for Light Fields\n",
"Matan Atzmon , SAL: Sign Agnostic Learning of Shapes From Raw Data\n",
"Tobias Weyand , Google Landmarks Dataset v2 – A Large-Scale Benchmark for Instance-Level Recognition and Retrieval\n",
"Wenkai Dong , Instance Guided Proposal Network for Person Search\n",
"Yining Lang , Which Is Plagiarism: Fashion Image Retrieval Based on Regional Representation for Design Protection\n",
"Zhiyi Cheng , Inter-Task Association Critic for Cross-Resolution Person Re-Identification\n",
"Dian Shao , FineGym: A Hierarchical Video Dataset for Fine-Grained Action Understanding\n",
"Frederik Warburg , Mapillary Street-Level Sequences: A Dataset for Lifelong Place Recognition\n",
"Fisher Yu , BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning\n",
"Yun Liu , Rethinking Computer-Aided Tuberculosis Diagnosis\n",
"Xi Yang , IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning\n",
"Sen Jia , Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve\n",
"Ciprian A. Corneanu , Computing the Testing Error Without a Testing Set\n",
"Zhizhong Li , Improving Confidence Estimates for Unfamiliar Examples\n",
"Syed Waqas Zamir , CycleISP: Real Image Restoration via Improved Data Synthesis\n",
"Xiaoming Li , Enhanced Blind Face Restoration With Multi-Exemplar Images and Adaptive Spatial Feature Fusion\n",
"Yuval Bahat , Explorable Super Resolution\n",
"Rajeev Yasarla , Syn2Real Transfer Learning for Image Deraining Using Gaussian Processes\n",
"Kaihao Zhang , Deblurring by Realistic Blurring\n",
"Ziyu Wan , Bringing Old Photos Back to Life\n",
"Kaixuan Wei , A Physics-Based Noise Formation Model for Extreme Low-Light Raw Denoising\n",
"S. Mohammad Mostafavi I. , Learning to Super Resolve Intensity Images From Events\n",
"Deng-Ping Fan , Camouflaged Object Detection\n",
"Nan Xue , Holistically-Attracted Wireframe Parsing\n",
"Fuyang Zhang , Conv-MPN: Convolutional Message Passing Neural Network for Structured Outdoor Architecture Reconstruction\n",
"Yuanjie Shao , Domain Adaptation for Image Dehazing\n",
"Yuming Shen , Auto-Encoding Twin-Bottleneck Hashing\n",
"Mang Tik Chiu , Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis\n",
"Wenkai Dong , Bi-Directional Interaction Network for Person Search\n",
"Abhishek Badki , Meshlet Priors for 3D Mesh Reconstruction\n",
"Muhammad Haris , Space-Time-Aware Multi-Resolution Video Enhancement\n",
"Xiang Li , FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation\n",
"John Lambert , MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation\n",
"Liming Jiang , DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection\n",
"Yichao Yan , Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification\n",
"Jiahuan Zhou , Online Joint Multi-Metric Adaptation From Frequent Sharing-Subset Mining for Person Re-Identification\n",
"Deng-Ping Fan , Taking a Deeper Look at Co-Salient Object Detection\n",
"Yinlin Hu , Single-Stage 6D Object Pose Estimation\n",
"Lei Han , OccuSeg: Occupancy-Aware 3D Instance Segmentation\n",
"Chang Chen , Camera Trace Erasing\n",
"Wenzhao Zheng , Deep Metric Learning via Adaptive Learnable Assessment\n",
"Jialun Liu , Deep Representation Learning on Long-Tailed Data: A Learnable Embedding Augmentation Perspective\n",
"Ming Jiang , Fantastic Answers and Where to Find Them: Immersive Question-Directed Visual Attention\n",
"Zhixuan Yu , HUMBI: A Large Multiview Dataset of Human Body Expressions\n",
"Yanbei Chen , Image Search With Text Feedback by Visiolinguistic Attention Learning\n",
"Jinjin Gu , Image Processing Using Multi-Code GAN Prior\n",
"Qian Zheng , What Does Plate Glass Reveal About Camera Calibration?\n",
"Fudong Wang , Zero-Assignment Constraint for Graph Matching With Outliers\n",
"Jinshan Pan , Cascaded Deep Video Deblurring Using Temporal Sharpness Prior\n",
"Keren Fu , JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection\n",
"Wenhan Yang , From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement\n",
"Lei Zhang , Unsupervised Adaptation Learning for Hyperspectral Imagery Super-Resolution\n",
"Li Yuan , Central Similarity Quantization for Efficient Image and Video Retrieval\n",
"Zeng Huang , ARCH: Animatable Reconstruction of Clothed Humans\n",
"Hong Wang , A Model-Driven Deep Neural Network for Single Image Rain Removal\n",
"Mohamed El Banani , Novel Object Viewpoint Estimation Through Reconstruction Alignment\n",
"Hengtong Hu , Creating Something From Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing\n",
"Junsuk Choe , Evaluating Weakly Supervised Object Localization Methods Right\n",
"Xin Jin , Style Normalization and Restitution for Generalizable Person Re-Identification\n",
"Ming Cai , Reconstruct Locally, Localize Globally: A Model Free Method for Object Pose Estimation\n",
"Matt Deitke , RoboTHOR: An Open Simulation-to-Real Embodied AI Platform\n",
"Ruoteng Li , All in One Bad Weather Removal Using Architectural Search\n",
"Zhizheng Zhang , Relation-Aware Global Attention for Person Re-Identification\n",
"Shreyas Hampali , HOnnotate: A Method for 3D Annotation of Hand and Object Poses\n",
"Yuezun Li , Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics\n",
"Kai Zhang , Deep Unfolding Network for Image Super-Resolution\n",
"Matteo Poggi , On the Uncertainty of Self-Supervised Monocular Depth Estimation\n",
"Sungyeon Kim , Proxy Anchor Loss for Deep Metric Learning\n",
"Yunfei Liu , Unsupervised Learning for Intrinsic Image Decomposition From a Single Image\n",
"Jin Xiao , Multi-Domain Learning for Accurate and Few-Shot Color Constancy\n",
"Xueyang Wang , PANDA: A Gigapixel-Level Human-Centric Video Dataset\n",
"Long Chen , Cross-View Tracking for Multi-Human 3D Pose Estimation at Over 100 FPS\n",
"Jinrui Yang , Spatial-Temporal Graph Convolutional Network for Video-Based Person Re-Identification\n",
"Xuesong Chen , Salience-Guided Cascaded Suppression Network for Person Re-Identification\n",
"Yen-Liang Lin , Fashion Outfit Complementary Item Retrieval\n",
"Zhe Jiang , Learning Event-Based Motion Deblurring\n",
"Yunhan Zhao , Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation\n",
"Dongwei Ren , Neural Blind Deconvolution Using Deep Priors\n",
"Jie Li , Anisotropic Convolutional Networks for 3D Semantic Scene Completion\n",
"Yapeng Tian , TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution\n",
"Xiaoyu Xiang , Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution\n",
"Hailiang Xu , Fast MSER\n",
"Yutian Lin , Unsupervised Person Re-Identification via Softened Similarity Learning\n",
"Shijie Yu , COCAS: A Large-Scale Clothes Changing Person Dataset for Re-Identification\n",
"Ruilong Li , Learning Formation of Physically-Based Face Attributes\n",
"Young Kyun Jang , Generalized Product Quantization Network for Semi-Supervised Image Retrieval\n",
"Xu Cao , Stereoscopic Flash and No-Flash Photography for Shape and Albedo Recovery\n",
"Zhuowan Li , Context-Aware Group Captioning via Self-Attention and Contrastive Features\n",
"Chenyan Wu , MEBOW: Monocular Estimation of Body Orientation in the Wild\n",
"Ming Hong , Distilling Image Dehazing With Heterogeneous Task Imitation\n",
"Miao Zhang , Select, Supplement and Focus for RGB-D Saliency Detection\n",
"Yoonsik Kim , Transfer Learning From Synthetic to Real-Noise Denoising With Adaptive Instance Normalization\n",
"Carolin Schmitt , On Joint Estimation of Pose, Geometry and svBRDF From a Handheld Scanner\n",
"Michael Niemeyer , Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision\n",
"Jae Woong Soh , Meta-Transfer Learning for Zero-Shot Super-Resolution\n",
"Dov Bridger , Solving Jigsaw Puzzles With Eroded Boundaries\n",
"Qi Zhang , Context-Aware Attention Network for Image-Text Retrieval\n",
"Jianping Lin , M-LVC: Multiple Frames Prediction for Learned Video Compression\n",
"Yuan Yuan , Efficient Dynamic Scene Deblurring Using Spatially Variant Deconvolution Network With Optical Flow Guided Training\n",
"Chao Li , Single Image Reflection Removal Through Cascaded Refinement\n",
"Zhenqiang Ying , From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality\n",
"Daniel Gehrig , Video to Events: Recycling Video Datasets for Event Cameras\n",
"Mehrdad Hosseinzadeh , Composed Query Image Retrieval Using Locally Bounded Features\n",
"Maitreya Suin , Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring\n",
"Bolei Xu , End-to-End Illuminant Estimation Based on Deep Metric Learning\n",
"Yuesong Nan , Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring\n",
"Bolun Zheng , Image Demoireing with Learnable Bandpass Filters\n",
"Tai-Yin Chiu , Assessing Image Quality Issues for Real-World Problems\n",
"Haokui Zhang , Memory-Efficient Hierarchical Neural Architecture Search for Image Denoising\n",
"Shaolin Su , Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network\n",
"Yuming Fang , Perceptual Quality Assessment of Smartphone Photography\n",
"Haiyang Mei , Don’t Hit Me! Glass Detection in Real-World Scenes\n",
"Jiaying Lin , Progressive Mirror Detection\n",
"Xiaolong Li , Category-Level Articulated Object Pose Estimation\n",
"Kaihua Tang , Unbiased Scene Graph Generation From Biased Training\n",
"Li Zhang , Dynamic Graph Message Passing Networks\n",
"Alireza Zareian , Weakly Supervised Visual Semantic Parsing\n",
"Xin Lin , GPS-Net: Graph Property Sensing Network for Scene Graph Generation\n",
"Andrew Luo , End-to-End Optimization of Scene Layout\n",
"Fei Pan , Unsupervised Intra-Domain Adaptation for Semantic Segmentation Through Self-Supervision\n",
"Li Wang , Dual Super-Resolution Learning for Semantic Segmentation\n",
"Xiaohang Zhan , Self-Supervised Scene De-Occlusion\n",
"Yifeng Chen , BANet: Bidirectional Aggregation Network With Occlusion Handling for Panoptic Segmentation\n",
"Han Yang , CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries\n",
"Yuhang Liu , Cross-View Correspondence Reasoning Based on Bipartite Graph Convolutional Network for Mammogram Mass Detection\n",
"Junya Hayashida , MPM: Joint Representation of Motion and Position Map for Cell Tracking\n",
"Yan Wang , Deep Distance Transform for Tubular Structure Segmentation in CT Scans\n",
"Victor Kulikov , Instance Segmentation of Biological Images Using Harmonic Embeddings\n",
"Noriaki Hashimoto , Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images\n",
"Sam Maksoud , SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification\n",
"Sungjoon Choi , Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks\n",
"Da Zhang , METAL: Minimum Effort Temporal Activity Localization in Untrimmed Videos\n",
"Xi Yan , Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data\n",
"Li Yuan , Revisiting Knowledge Distillation via Label Smoothing Regularization\n",
"Liheng Zhang , WCP: Worst-Case Perturbations for Semi-Supervised Deep Learning\n",
"Jie Song , DEPARA: Deep Attribution Graph for Deep Knowledge Transferability\n",
"Davide Abati , Conditional Channel Gated Networks for Task-Aware Continual Learning\n",
"Shuhao Cui , Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations\n",
"Dong Wang , FocalMix: Semi-Supervised Learning for 3D Medical Image Detection\n",
"Johanna Wald , Learning 3D Semantic Scene Graphs From 3D Indoor Reconstructions\n",
"Siva Karthik Mustikovela , Self-Supervised Viewpoint Learning From Image Collections\n",
"Mark Boss , Two-Shot Spatially-Varying BRDF and Shape Estimation\n",
"Zhitong Xiong , Variational Context-Deformable ConvNets for Indoor Scene Parsing\n",
"Qibin Hou , Strip Pooling: Rethinking Spatial Pooling for Scene Parsing\n",
"Qi Fan , Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector\n",
"Jiahua Dong , What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation\n",
"Qier Meng , ADINet: Attribute Driven Incremental Network for Retinal Image Classification\n",
"Lanqing Hu , Unsupervised Domain Adaptation With Hierarchical Gradient Synchronization\n",
"Zhiheng Li , Deep Grouping Model for Unified Perceptual Parsing\n",
"Yujiao Shi , Where Am I Looking At? Joint Location and Orientation Estimation by Cross-View Matching\n",
"Xiangrui Zeng , Gum-Net: Unsupervised Geometric Matching for Fast and Accurate 3D Subtomogram Image Alignment and Averaging\n",
"Yanchao Yang , FDA: Fourier Domain Adaptation for Semantic Segmentation\n",
"Zhuo Zheng , Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery\n",
"Yen-Cheng Liu , When2com: Multi-Agent Perception via Communication Graph Grouping\n",
"Tiancai Wang , Learning Human-Object Interaction Detection Using Interaction Points\n",
"Qihang Yu , C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation\n",
"Christian Simon , Adaptive Subspaces for Few-Shot Learning\n",
"Fa-Ting Hong , Learning to Detect Important People in Unlabelled Images for Semi-Supervised Important People Detection\n",
"Ying Chen , Stochastic Sparse Subspace Clustering\n",
"Weide Liu , CRNet: Cross-Reference Networks for Few-Shot Segmentation\n",
"Wanyu Lin , Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data\n",
"Paul Bergmann , Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings\n",
"Xiaokang Chen , 3D Sketch-Aware Semantic Scene Completion via Semi-Supervised Structure Prior\n",
"Peiwen Lin , Graph-Guided Architecture Search for Real-Time Semantic Segmentation\n",
"Debang Li , Composing Good Shots by Exploiting Mutual Relations\n",
"Dazhou Guo , Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search\n",
"Wei Chen , G2L-Net: Global to Local Network for Real-Time 6D Pose Estimation With Embedding Vector Features\n",
"Dongnan Liu , Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting\n",
"Nikita Araslanov , Single-Stage Semantic Segmentation From Image Labels\n",
"Tianfei Zhou , Cascaded Human-Object Interaction Recognition\n",
"Bo Zhou , DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction With Deep T1 Prior\n",
"Junsong Fan , Learning Integral Objects With Intra-Class Discriminator for Weakly-Supervised Semantic Segmentation\n",
"Yiqun Lin , FPConv: Learning Local Flattening for Point Convolution\n",
"Qin Yang , Rotation Equivariant Graph Convolutional Network for Spherical Image Classification\n",
"Hanchao Yu , FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation\n",
"Sharon Fogel , ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation\n",
"Fengmao Lv , Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer\n",
"Linchao Zhu , Inflated Episodic Memory With Region Self-Attention for Long-Tailed Visual Recognition\n",
"Osama Makansi , Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View With a Reachability Prior\n",
"Haifeng Xia , Structure Preserving Generative Cross-Domain Learning\n",
"Yifan Yang , Reverse Perspective Network for Perspective-Aware Object Counting\n",
"Jiacheng Wei , Multi-Path Region Mining for Weakly Supervised 3D Semantic Segmentation on Point Clouds\n",
"Renjun Xu , Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation\n",
"Charles R. Qi , ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes\n",
"Buyu Liu , Understanding Road Layout From Videos as a Whole\n",
"Zhiwei Hu , Bi-Directional Relationship Inferring Network for Referring Image Segmentation\n",
"Yikai Li , Perspective Plane Program Induction From a Single Image\n",
"Jian Wang , DeepFLASH: An Efficient Network for Learning-Based Medical Image Registration\n",
"Yaxing Wang , Semi-Supervised Learning for Few-Shot Image-to-Image Translation\n",
"Yanbin Liu , Semantic Correspondence as an Optimal Transport Problem\n",
"Camilo Fosco , How Much Time Do You Have? Modeling Multi-Duration Saliency\n",
"Dat Huynh , Fine-Grained Generalized Zero-Shot Learning via Dense Attribute-Based Attention\n",
"Zhenyu Zhang , Online Depth Learning Against Forgetting in Monocular Videos\n",
"Lingjing Wang , Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation\n",
"Ling Zhou , Pattern-Structure Diffusion for Multi-Task Learning\n",
"Zhen Wang , Training Noise-Robust Deep Neural Networks via Meta-Learning\n",
"Jiazhao Zhang , Fusion-Aware Point Convolution for Online Semantic 3D Scene Segmentation\n",
"Jogendra Nath Kundu , Universal Source-Free Domain Adaptation\n",
"Beibei Jin , Exploring Spatial-Temporal Multi-Frequency Analysis for High-Fidelity and Temporal-Consistency Video Prediction\n",
"Akshay Dudhane , Varicolored Image De-Hazing\n",
"Hanyu Shi , SpSequenceNet: Semantic Segmentation Network on 4D Point Clouds\n",
"Tushar Sandhan , Separating Particulate Matter From a Single Microscopic Image\n",
"Shuai Bai , Adaptive Dilated Network With Self-Correction Supervision for Counting\n",
"Sourabh Vora , PointPainting: Sequential Fusion for 3D Object Detection\n",
"Biagio Brattoli , Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications\n",
"Linjun Zhou , Learning to Select Base Classes for Few-Shot Classification\n",
"Florian Kluger , CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus\n",
"Tony C.W. Mok , Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks\n",
"Fabio Tosi , Distilled Semantics for Comprehensive Scene Understanding from Videos\n",
"Edward Kim , Modeling Biological Immunity to Adversarial Examples\n",
"Ashraful Islam , DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy-Move Forgery Detection and Localization\n",
"Sebastian Weiss , Correspondence-Free Material Reconstruction using Sparse Surface Constraints\n",
"Shawn Mathew , Augmenting Colonoscopy Using Extended and Directional CycleGAN for Lossy Image Translation\n",
"Xiaoheng Jiang , Attention Scaling for Crowd Counting\n",
"Jan Bednařík , Shape Reconstruction by Learning Differentiable Surface Representations\n",
"Yuyu Guo , A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image\n",
"Thilini Cooray , Attention-Based Context Aware Reasoning for Situation Recognition\n",
"Kamal Gupta , PatchVAE: Learning Local Latent Codes for Recognition\n",
"Adrian Johnston , Self-Supervised Monocular Trained Depth Estimation Using Self-Attention and Discrete Disparity Volume\n",
"Antigoni Tsiami , STAViS: Spatio-Temporal AudioVisual Saliency Network\n",
"Yuanen Zhou , More Grounded Image Captioning by Distilling Image-Text Matching Model\n",
"Deblina Bhattacharjee , DUNIT: Detection-Based Unsupervised Image-to-Image Translation\n",
"Alan Dolhasz , Learning to Observe: Approximating Human Perceptual Thresholds for Detection of Suprathreshold Image Transformations\n",
"Fawaz Sammani , Show, Edit and Tell: A Framework for Editing Image Captions\n",
"Hong Joo Lee , Structure Boundary Preserving Segmentation for Medical Image With Ambiguous Boundary\n",
"Lyujian Lu , Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers\n",
"Yu Zhao , Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution\n",
"Xingtong Liu , Extremely Dense Point Correspondences Using a Learned Feature Descriptor\n",
"Kyle Genova , Local Deep Implicit Functions for 3D Shape\n",
"Li Jiang , PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation\n",
"Jiayu Yang , Cost Volume Pyramid Based Depth Inference for Multi-View Stereo\n",
"Silvan Weder , RoutedFusion: Learning Real-Time Depth Map Fusion\n",
"Zhixiang Min , VOLDOR: Visual Odometry From Log-Logistic Dense Optical Flow Residuals\n",
"Yang Li , Learning to Optimize Non-Rigid Tracking\n",
"Lei Zhou , KFNet: Learning Temporal Camera Relocalization Using Kalman Filtering\n",
"Alejandro Fontán , Information-Driven Direct RGB-D Odometry\n",
"Paul-Edouard Sarlin , SuperGlue: Learning Feature Matching With Graph Neural Networks\n",
"Aritra Bhowmik , Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task\n",
"Wenbin Zhu , ReDA:Reinforced Differentiable Attribute for 3D Face Reconstruction\n",
"Lan Xu , EventCap: Monocular 3D Capture of High-Speed Human Motions Using an Event Camera\n",
"Victoria Fernández Abrevaya , Cross-Modal Deep Face Normals With Deactivable Skip Connections\n",
"Dominik Kulon , Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild\n",
"Lingzhi Li , Face X-Ray for More General Face Forgery Detection\n",
"William A. P. Smith , A Morphable Face Albedo Model\n",
"Rongliang Wu , Cascade EF-GAN: Progressive Facial Expression Editing With Local Focuses\n",
"Enric Corona , GanHand: Predicting Human Grasp Affordances in Multi-Object Scenes\n",
"Zezheng Wang , Deep Spatial Gradient and Temporal Depth Learning for Face Anti-Spoofing\n",
"Marc Habermann , DeepCap: Monocular Human Performance Capture Using Weak Supervision\n",
"Ruixu Liu , Attention Mechanism Exploits Temporal Contexts: Real-Time 3D Human Pose Reconstruction\n",
"Lingzhi Li , Advancing High Fidelity Identity Swapping for Forgery Detection\n",
"Yifang Men , Controllable Person Image Synthesis With Attribute-Decomposed GAN\n",
"Yi Wang , Attentive Normalization for Conditional Image Generation\n",
"Peihao Zhu , SEAN: Image Synthesis With Semantic Region-Adaptive Normalization\n",
"Wang Shen , Blurry Video Frame Interpolation\n",
"Thomas Nestmeyer , Learning Physics-Guided Face Relighting Under Directional Light\n",
"Yazeed Alharbi , Disentangled Image Generation Through Structured Noise Injection\n",
"Pan Zhang , Cross-Domain Correspondence Learning for Exemplar-Based Image Translation\n",
"Yu Deng , Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning\n",
"Soomin Kim , Single Image Reflection Removal With Physically-Based Training Images\n",
"Chengying Gao , SketchyCOCO: Image Generation From Freehand Scene Sketches\n",
"Assaf Neuberger , Image Based Virtual Try-On Network From Unpaired Data\n",
"Wentao Jiang , PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer\n",
"Jiankang Deng , RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild\n",
"Helisa Dhamo , Semantic Image Manipulation Using Scene Graphs\n",
"Sadegh Aliakbarian , A Stochastic Conditioning Scheme for Diverse Human Motion Prediction\n",
"Artsiom Sanakoyeu , Transferring Dense Pose to Proximal Animal Classes\n",
"Umar Iqbal , Weakly-Supervised 3D Human Pose Learning via Multi-View Images in the Wild\n",
"Muhammed Kocabas , VIBE: Video Inference for Human Body Pose and Shape Estimation\n",
"Yaohui Wang , G3AN: Disentangling Appearance and Motion for Video Generation\n",
"Ying-Cong Chen , Domain Adaptive Image-to-Image Translation\n",
"Muyang Li , GAN Compression: Efficient Architectures for Interactive Conditional GANs\n",
"Zitong Yu , Searching Central Difference Convolutional Networks for Face Anti-Spoofing\n",
"Zhuoqian Yang , TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting\n",
"Hyeongmin Lee , AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation\n",
"Jiangning Zhang , FReeNet: Multi-Identity Face Reenactment\n",
"Jae Shin Yoon , Novel View Synthesis of Dynamic Scenes With Globally Coherent Depths From a Monocular Camera\n",
"Yuxiao Zhou , Monocular Real-Time Hand Shape and Motion Capture Using Multi-Modal Data\n",
"Garoe Dorta , The GAN That Warped: Semantic Attribute Editing With Unpaired Data\n",
"Aayush Bansal , 4D Visualization of Dynamic Events From Unconstrained Multi-View Videos\n",
"Yongming Rao , Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds\n",
"Bowen Cheng , HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation\n",
"Eunji Chong , Detecting Attended Visual Targets in Video\n",
"Yong Guo , Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution\n",
"Konstantinos Rematas , Neural Voxel Renderer: Learning an Accurate and Controllable Rendering Tool\n",
"Difan Liu , Neural Contours: Learning to Draw Lines From 3D Shapes\n",
"Simon Niklaus , Softmax Splatting for Video Frame Interpolation\n",
"Maxim Maximov , CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks\n",
"Mang Ye , Probabilistic Structural Latent Representation for Unsupervised Embedding\n",
"Zhen Zhu , Semantically Multi-Modal Image Synthesis\n",
"Lingzhi Zhang , Nested Scale-Editing for Conditional Image Synthesis\n",
"Shangbang Long , UnrealText: Synthesizing Realistic Scene Text Images From the Unreal World\n",
"Wu Shi , Fast Texture Synthesis via Pseudo Optimizer\n",
"Iacopo Masi , Towards Learning Structure via Consensus for Face Segmentation and Parsing\n",
"Bin Zhu , CookGAN: Causality Based Text-to-Image Synthesis\n",
"Hong-Xing Yu , Weakly Supervised Discriminative Feature Learning With State Information for Person Identification\n",
"Yue Wu , Future Video Synthesis With Object Motion Prediction\n",
"Cheng-Han Lee , MaskGAN: Towards Diverse and Interactive Facial Image Manipulation\n",
"Huu Le , A Graduated Filter Method for Large Scale Robust Estimation\n",
"Cheng Ma , Deep Face Super-Resolution With Iterative Collaboration Between Attentive Recovery and Landmark Estimation\n",
"Wen Jiang , Coherent Reconstruction of Multiple Humans From a Single Image\n",
"Xu Yan , PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling\n",
"Zhang Chen , A Neural Rendering Framework for Free-Viewpoint Relighting\n",
"Zhihao Chen , A Multi-Task Mean Teacher for Semi-Supervised Shadow Detection\n",
"Yonghyun Kim , GroupFace: Learning Latent Groups and Constructing Group-Based Representations for Face Recognition\n",
"Xibin Song , Channel Attention Based Iterative Residual Learning for Depth Map Super-Resolution\n",
"Chia-Chi Cheng , Time Flies: Animating a Still Image With Time-Lapse Video As Reference\n",
"Philipp Terhörst , SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness\n",
"Qiangeng Xu , Grid-GCN for Fast and Scalable Point Cloud Learning\n",
"Dong Cao , Domain Balancing: Face Recognition on Long-Tailed Domains\n",
"Chen Gao , AdversarialNAS: Adversarial Neural Architecture Search for GANs\n",
"Yiqun Mei , Image Super-Resolution With Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining\n",
"Junjie Huang , The Devil Is in the Details: Delving Into Unbiased Data Processing for Human Pose Estimation\n",
"Jie Chang , Data Uncertainty Learning in Face Recognition\n",
"Yi Liu , Regularizing Discriminative Capability of CGANs for Semi-Supervised Generative Learning\n",
"Wenxuan Wang , FM2u-Net: Face Morphological Multi-Branch Network for Makeup-Invariant Face Verification\n",
"Lei Zhao , UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation\n",
"Jianbo Liu , Decoupled Representation Learning for Skeleton-Based Gesture Recognition\n",
"Yuecong Min , An Efficient PointLSTM for Point Clouds Based Gesture Recognition\n",
"Edo Collins , Editing in Style: Uncovering the Local Semantics of GANs\n",
"Hao Dang , On the Detection of Digital Face Manipulation\n",
"Fuzhi Yang , Learning Texture Transformer Network for Image Super-Resolution\n",
"Junsoo Lee , Reference-Based Sketch Image Colorization Using Augmented-Self Reference and Dense Semantic Correspondence\n",
"Adam Kaufman , Deblurring Using Analysis-Synthesis Networks Pair\n",
"Hyojin Bahng , Exploring Unlabeled Faces for Novel Attribute Discovery\n",
"Jiashun Wang , Neural Pose Transfer by Spatially Adaptive Instance Normalization\n",
"Wei Xiong , Fine-Grained Image-to-Image Transformation Towards Visual Recognition\n",
"Ziqian Bai , Deep Facial Non-Rigid Multi-View Stereo\n",
"Prashanth Chandran , Attention-Driven Cropping for Very High Resolution Facial Landmark Detection\n",
"Yiyi Liao , Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis\n",
"Rui Qian , End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection\n",
"Jiangke Lin , Towards High-Fidelity 3D Face Reconstruction From In-the-Wild Images Using Graph Convolutional Networks\n",
"Yuge Huang , CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition\n",
"Hang Zhou , Rotate-and-Render: Unsupervised Photorealistic Face Rotation From Single-View Images\n",
"Chao Yang , One-Shot Domain Adaptation for Face Generation\n",
"Yanwei Pang , BidNet: Binocular Image Dehazing Without Explicit Disparity Estimation\n",
"Peidong Liu , Deep Shutter Unrolling Network\n",
"Yanping Fu , Joint Texture and Geometry Optimization for RGB-D Reconstruction\n",
"Sai Bi , Deep 3D Capture: Geometry and Reflectance From Sparse Multi-View Images\n",
"Wenzheng Chen , Auto-Tuning Structured Light by Optical Stochastic Gradient Descent\n",
"Zhenyu Xu , MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction\n",
"Michal Polic , Uncertainty Based Camera Model Selection\n",
"Chiyu \"Max\" Jiang , Local Implicit Grid Representations for 3D Scenes\n",
"Hayato Onizuka , TetraTSDF: 3D Human Reconstruction From a Single Image With a Tetrahedral Outer Shell\n",
"Amnon Geifman , Averaging Essential and Fundamental Matrices in Collinear Camera Settings\n",
"Kyle Wilson , On the Distribution of Minima in Intrinsic-Metric Rotation Averaging\n",
"Edoardo Remelli , Lightweight Multi-View 3D Pose Estimation Through Camera-Disentangled Representation\n",
"Jin Liu , A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-View Stereo Reconstruction From an Open Aerial Dataset\n",
"Jean Kossaifi , Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation\n",
"Min Jin Chong , Effectively Unbiased FID and Inception Score and Where to Find Them\n",
"Tianjiao Ding , Robust Homography Estimation via Dual Principal Component Pursuit\n",
"Abhishek Aich , Non-Adversarial Video Synthesis With Learned Priors\n",
"Gun-Hee Lee , Uncertainty-Aware Mesh Decoder for High Fidelity 3D Face Reconstruction\n",
"Björn Browatzki , 3FabRec: Fast Few-Shot Face Alignment by Reconstruction\n",
"Seungryul Baek , Weakly-Supervised Domain Adaptation via GAN and Mesh Model for Estimating 3D Hand Poses Interacting Objects\n",
"Chi Nhan Duong , Vec2Face: Unveil Human Faces From Their Blackbox Features in Face Recognition\n",
"Ayush Tewari , StyleRig: Rigging StyleGAN for 3D Control Over Portrait Images\n",
"Jogendra Nath Kundu , Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis\n",
"Jianzhu Guo , Learning Meta Face Recognition in Unseen Domains\n",
"Shichao Li , Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data\n",
"Hongyi Xu , GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models\n",
"Yan Zhang , Generating 3D People in Scenes Without People\n",
"Dongxu Li , Transferring Cross-Domain Knowledge for Video Sign Language Recognition\n",
"Henry M. Clever , Bodies at Rest: 3D Human Pose and Shape Estimation From a Pressure Image Using Synthetic Data\n",
"Rui Zhao , Bayesian Adversarial Human Motion Synthesis\n",
"Chengzhou Tang , LSM: Learning Subspace Minimization for Low-Level Vision\n",
"Guillem Brasó , Learning a Neural Solver for Multiple Object Tracking\n",
"Prune Truong , GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences\n",
"Dongyan Guo , SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking\n",
"Shengyu Zhao , MaskFlownet: Asymmetric Feature Matching With Learnable Occlusion Mask\n",
"Guangting Wang , Tracking by Instance Detection: A Meta-Learning Approach\n",
"Kenan Dai , High-Performance Long-Term Tracking With Meta-Updater\n",
"Bo Pang , TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model\n",
"Yue Hu , Collaborative Motion Prediction via Neural Motion Message Passing\n",
"Haozhe Qi , P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds\n",
"Shunkai Li , Self-Supervised Deep Visual Odometry With Online Adaptation\n",
"Daqi Liu , Globally Optimal Contrast Maximisation for Event-Based Motion Estimation\n",
"Xuyang Bai , D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features\n",
"Yantao Shen , Towards Backward-Compatible Representation Learning\n",
"Ruihui Li , PointAugment: An Auto-Augmentation Framework for Point Cloud Classification\n",
"Xun Wang , Cross-Batch Memory for Embedding Learning\n",
"Yifan Sun , Circle Loss: A Unified Perspective of Pair Similarity Optimization\n",
"Simon Jenni , Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics\n",
"Valentin Khrulkov , Hyperbolic Image Embeddings\n",
"Lei Huang , Controllable Orthogonalization in Training DNNs\n",
"Lei Huang , An Investigation Into the Stochasticity of Batch Whitening\n",
"Guan'an Wang , High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification\n",
"Jaime Spencer , Same Features, Different Day: Weakly Supervised Feature Learning for Seasonal Invariance\n",
"Qianli Ma , Learning to Dress 3D People in Generative Clothing\n",
"Zihang Lai , MAST: A Memory-Augmented Self-Supervised Tracker\n",
"Liang Liu , Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation\n",
"Xinshuo Weng , GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking With 2D-3D Multi-Feature Learning\n",
"Xueting Yan , ClusterFit: Improving Generalization of Visual Representations\n",
"Qiongjie Cui , Learning Dynamic Relationships for 3D Human Motion Prediction\n",
"Long Zhao , Knowledge As Priors: Cross-Modal Knowledge Generalization for Datasets Without Superior Knowledge\n",
"Yizhe Zhu , S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation\n",
"Yuan Yao , Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning\n",
"Yanchao Yang , Learning to Manipulate Individual Objects in an Image\n",
"Karsten Roth , PADS: Policy-Adapted Sampling for Visual Similarity Learning\n",
"Paul Voigtlaender , Siam R-CNN: Visual Tracking by Re-Detection\n",
"Zixin Luo , ASLFeat: Learning Local Features of Accurate Shape and Localization\n",
"Fanxu Meng , Filter Grafting for Deep Neural Networks\n",
"Bardia Doosti , HOPE-Net: A Graph-Based Model for Hand-Object Pose Estimation\n",
"Mohammad Rami Koujan , DeepFaceFlow: In-the-Wild Dense 3D Facial Motion Estimation\n",
"Ren Yang , Learning for Video Compression With Hierarchical Quality and Recurrent Enhancement\n",
"Fabian Mentzer , Learning Better Lossless Compression Using Lossy Compression\n",
"Pengpeng Liu , Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching\n",
"Zhiyuan Dang , Multi-Scale Fusion Subspace Clustering Using Similarity Constraint\n",
"Zedu Chen , Siamese Box Adaptive Network for Visual Tracking\n",
"Guoqing Wang , Cross-Domain Face Presentation Attack Detection via Multi-Domain Disentangled Representation Learning\n",
"Xiaohang Zhan , Online Deep Clustering for Unsupervised Representation Learning\n",
"Senhui Guo , Density-Aware Feature Embedding for Face Clustering\n",
"Ishan Misra , Self-Supervised Learning of Pretext-Invariant Representations\n",
"Tianyu Yang , ROAM: Recurrently Optimizing Tracking Model\n",
"Yuechen Yu , Deformable Siamese Attention Networks for Visual Object Tracking\n",
"Michael Snower , 15 Keypoints Is All You Need\n",
"Yinqiang Zheng , Optical Flow in the Dark\n",
"Hangyu Lin , Sketch-BERT: Learning Sketch Bidirectional Encoder Representation From Transformers by Self-Supervised Learning of Sketch Gestalt\n",
"Junbo Yin , A Unified Object Motion and Affinity Model for Online Multi-Object Tracking\n",
"Denys Rozumnyi , Sub-Frame Appearance and 6D Pose Estimation of Fast Moving Objects\n",
"Yihong Xu , How to Train Your Deep Multi-Object Tracker\n",
"Liangji Fang , TPNet: Trajectory Proposal Network for Motion Prediction\n",
"Hyodong Lee , Large Scale Video Representation Learning via Relational Graph Clustering\n",
"Yichun Shi , Towards Universal Representation Learning for Deep Face Recognition\n",
"Yingji Zhong , Robust Partial Matching for Person Search in the Wild\n",
"Fei Du , Correlation-Guided Attention for Corner Detection Based Visual Tracking\n",
"Lorenzo Porzi , Learning Multi-Object Tracking and Segmentation From Automatic Annotations\n",
"Abdallah Benzine , PandaNet: Anchor-Based Single-Shot Multi-Person 3D Pose Estimation\n",
"Yudong Wu , Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition\n",
"Peiliang Li , Joint Spatial-Temporal Optimization for Stereo 3D Object Tracking\n",
"Chong Liu , Unity Style Transfer for Person Re-Identification\n",
"Kai Wang , Suppressing Uncertainties for Large-Scale Facial Expression Recognition\n",
"Rahul Mitra , Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation\n",
"Rongmei Lin , Regularizing Neural Networks via Minimizing Hyperspherical Energy\n",
"Spyros Gidaris , Learning Representations by Predicting Bags of Visual Words\n",
"Muhammad Haris Khan , AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces\n",
"Yizhuo Zhang , A Transductive Approach for Video Object Segmentation\n",
"Yujiang Wang , Dynamic Face Video Segmentation via Reinforcement Learning\n",
"Julian Chibane , Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion\n",
"Lu Yu , Semantic Drift Compensation for Class-Incremental Learning\n",
"Enric Corona , Context-Aware Human Motion Prediction\n",
"Aljaž Božič , DeepDeform: Learning Non-Rigid RGB-D Reconstruction With Semi-Supervised Data\n",
"Mariko Isogawa , Optical Non-Line-of-Sight Physics-Based 3D Human Pose Estimation\n",
"Aymen Mir , Learning to Transfer Texture From Clothing Images to 3D Humans\n",
"Bruno Artacho , UniPose: Unified Human Pose Estimation in Single Images and Videos\n",
"Yaqing Ding , Minimal Solutions to Relative Pose Estimation From Two Views Sharing a Common Direction With Unknown Focal Length\n",
"Wang Zeng , 3D Human Mesh Regression With Dense Correspondence\n",
"Chaoqun Wang , Cross-Modal Pattern-Propagation for RGB-T Tracking\n",
"Yiding Yang , Distilling Knowledge From Graph Convolutional Networks\n",
"Po-Hsiang Huang , Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment\n",
"Feng Zhang , Distribution-Aware Coordinate Representation for Human Pose Estimation\n",
"Dechao Meng , Parsing-Based View-Aware Embedding Network for Vehicle Re-Identification\n",
"Jameel Malik , HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation From a Single Depth Map\n",
"Tianshu Yu , Determinant Regularization for Gradient-Efficient Graph Matching\n",
"Alan Lukežič , D3S – A Discriminative Single Shot Segmentation Tracker\n",
"Francesco Marchetti , MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction\n",
"Marin Toromanoff , End-to-End Model-Free Reinforcement Learning for Urban Driving Using Implicit Affordances\n",
"Xiang Gao , GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations\n",
"Evangelos Sariyanidi , Can Facial Pose and Expression Be Separated With Weak Perspective Camera?\n",
"Martin Danelljan , Probabilistic Regression for Visual Tracking\n",
"G. Dias Pais , 3DRegNet: A Deep Neural Network for 3D Point Registration\n",
"Matteo Fabbri , Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation\n",
"Mihai Fieraru , Three-Dimensional Reconstruction of Human Interactions\n",
"Shuai Zheng , Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning\n",
"André Mateus , Minimal Solvers for 3D Scan Alignment With Pairs of Intersecting Lines\n",
"Qiufu Li , Wavelet Integrated CNNs for Noise-Robust Image Classification\n",
"Byungsoo Ko , Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning\n",
"Xiehe Huang , PropagationNet: Propagate Points to Curve to Learn Structure Information\n",
"Kangkan Wang , Sequential 3D Human Pose and Shape Estimation From Point Clouds\n",
"Jindong Gu , Improving the Robustness of Capsule Networks to Image Affine Transformations\n",
"Joel Stehouwer , Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofing\n",
"Xuan Zhang , Quaternion Product Units for Deep Learning on 3D Rotation Groups\n",
"Yu Yu , Unsupervised Representation Learning for Gaze Estimation\n",
"Grigorios G. Chrysos , P–nets: Deep Polynomial Neural Networks\n",
"Qi Qian , Hierarchically Robust Representation Learning\n",
"Alejandro Newell , How Useful Is Self-Supervised Pretraining for Visual Tasks?\n",
"Yang Zhang , Copy and Paste GAN: Face Hallucination From Shaded Thumbnails\n",
"Chaitanya Patel , TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style\n",
"Tianshu Zhang , Object-Occluded Human Shape and Pose Estimation From a Single Color Image\n",
"Jin Gao , Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking\n",
"Junhwa Hur , Self-Supervised Monocular Scene Flow Estimation\n",
"Andreas Robinson , Learning Fast and Robust Target Models for Video Object Segmentation\n",
"Hao Sun , Reciprocal Learning Networks for Human Trajectory Prediction\n",
"David S. Hayden , Nonparametric Object and Parts Modeling With Lie Group Dynamics\n",
"Qingyuan Zheng , Learning to Shadow Hand-Drawn Sketches\n",
"Kyle Olszewski , Intuitive, Interactive Beard and Hair Synthesis With Generative Models\n",
"Assaf Shocher , Semantic Pyramid for Image Generation\n",
"Olivia Wiles , SynSin: End-to-End View Synthesis From a Single Image\n",
"Abdul Fatir Ansari , A Characteristic Function Approach to Deep Implicit Generative Modeling\n",
"Ivan Anokhin , High-Resolution Daytime Translation Without Domain Labels\n",
"Paul Henderson , Leveraging 2D Data to Learn Textured 3D Mesh Generation\n",
"Zili Yi , Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting\n",
"Ruiqi Gao , Flow Contrastive Estimation of Energy-Based Models\n",
"Ali Mosleh , Hardware-in-the-Loop End-to-End Optimization of Camera Image Processing Pipelines\n",
"Yu Liu , Search to Distill: Pearls Are Everywhere but Not the Eyes\n",
"Erich Kobler , Total Deep Variation for Linear Inverse Problems\n",
"Tomáš Werner , Relative Interior Rule in Block-Coordinate Descent\n",
"Tao Wang , Learning Combinatorial Solver for Graph Matching\n",
"Itai Lang , SampleNet: Differentiable Point Cloud Sampling\n",
"Safa Messaoud , Can We Learn Heuristics for Graphical Model Inference Using Reinforcement Learning?\n",
"Yuxin Yao , Quasi-Newton Solver for Robust Non-Rigid Registration\n",
"Muhammad Abdullah Jamal , Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective\n",
"Michal Rolínek , Optimizing Rank-Based Metrics With Blackbox Differentiation\n",
"Zekun Hao , DualSDF: Semantic Shape Manipulation Using a Two-Level Representation\n",
"Duo Li , Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives\n",
"Hoang Le , Deep Homography Estimation for Dynamic Scenes\n",
"Zitian Huang , PF-Net: Point Fractal Network for 3D Point Cloud Completion\n",
"Ambar Pal , On the Regularization Properties of Structured Dropout\n",
"Tong Zhou , Learning Oracle Attention for High-Fidelity Face Completion\n",
"Yurui Ren , Deep Image Spatial Transformation for Person Image Generation\n",
"Zhi Gao , Learning to Optimize on SPD Manifolds\n",
"Sicheng Xu , Deep 3D Portrait From a Single Image\n",
"He Zhao , RDCFace: Radial Distortion Correction for Face Recognition\n",
"Yaobin Zhang , Global-Local GCN: Large-Scale Label Noise Cleansing for Face Recognition\n",
"Shuchen Weng , MISC: Multi-Condition Injection and Spatially-Adaptive Compositing for Conditional Person Image Synthesis\n",
"Cheng Peng , SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis\n",
"Jingyuan Li , Recurrent Feature Reasoning for Image Inpainting\n",
"Cheng Ma , Structure-Preserving Super Resolution With Gradient Guidance\n",
"Yihui He , Epipolar Transformers\n",
"Zhizhong Wang , Diversified Arbitrary Style Transfer via Deep Feature Perturbation\n",
"Animesh Karnewar , MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks\n",
"Miao Zhang , Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization\n",
"Mohsen Joneidi , Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds\n",
"Peng Dai , Neural Point Cloud Rendering via Multi-Plane Projection\n",
"Oran Gafni , Wish You Were Here: Context-Aware Human Generation\n",
"Han Yang , Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content\n",
"Ori Nizan , Breaking the Cycle – Colleagues Are All You Need\n",
"Hao Tang , Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation\n",
"Bowen Li , ManiGAN: Text-Guided Image Manipulation\n",
"Ricard Durall , Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions\n",
"Patrick Knöbelreiter , Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems\n",
"Dror Simon , Barycenters of Natural Images ­ Constrained Wasserstein Barycenters for Image Morphing\n",
"Zheng Ding , Guided Variational Autoencoder for Disentanglement Learning\n",
"Boyan Duan , Cross-Spectral Face Hallucination via Disentangling Independent Factors\n",
"Zhengxue Cheng , Learned Image Compression With Discretized Gaussian Mixture Likelihoods and Attention Modules\n",
"Albert Pumarola , C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds\n",
"Li'an Zhuo , Cogradient Descent for Bilinear Optimization\n",
"Jheng-Wei Su , Instance-Aware Image Colorization\n",
"Tian Han , Joint Training of Variational Auto-Encoder and Latent Energy-Based Model\n",
"Zhongnan Qu , Adaptive Loss-Aware Quantization for Multi-Bit Networks\n",
"Aviram Bar-Haim , ScopeFlow: Dynamic Scene Scoping for Optical Flow\n",
"Takashi Isobe , Video Super-Resolution With Temporal Group Attention\n",
"Yawei Li , Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression\n",
"Meng-Li Shih , 3D Photography Using Context-Aware Layered Depth Inpainting\n",
"Yuheng Li , MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation\n",
"Yerlan Idelbayev , Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer\n",
"Zhengzhe Liu , Global Texture Enhancement for Fake Face Detection in the Wild\n",
"Aysegul Dundar , Panoptic-Based Image Synthesis\n",
"Pratul P. Srinivasan , Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination\n",
"Xinrui Wang , Learning to Cartoonize Using White-Box Cartoon Representations\n",
"Bo Chen , End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization\n",
"Tero Karras , Analyzing and Improving the Image Quality of StyleGAN\n",
"Haoye Dong , Fashion Editing With Adversarial Parsing Learning\n",
"Elad Hoffer , Augment Your Batch: Improving Generalization Through Instance Repetition\n",
"Daquan Liu , ARShadowGAN: Shadow Generative Adversarial Network for Augmented Reality in Single Light Scenes\n",
"Prashant W. Patil , An End-to-End Edge Aggregation Network for Moving Object Segmentation\n",
"Jiyang Yu , Learning Video Stabilization Using Optical Flow\n",
"Runfa Chen , Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation\n",
"Arash Rahnama , Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory\n",
"Yunjey Choi , StarGAN v2: Diverse Image Synthesis for Multiple Domains\n",
"Kyu-Yul Lee , Warping Residual Based Image Stitching for Large Parallax\n",
"Edgar Schönfeld , A U-Net Based Discriminator for Generative Adversarial Networks\n",
"Ran Yi , Unpaired Portrait Drawing Generation via Asymmetric Cycle Mapping\n",
"Nathaniel Chodosh , When to Use Convolutional Neural Networks for Inverse Problems\n",
"Abhinav Kumar , LUVLi Face Alignment: Estimating Landmarks’ Location, Uncertainty, and Visibility Likelihood\n",
"Chu Wang , Affinity Graph Supervision for Visual Recognition\n",
"Michael Dorkenwald , Unsupervised Magnification of Posture Deviations Across Subjects\n",
"Fukun Yin , Accurate Estimation of Body Height From a Single Depth Image via a Four-Stage Developing Network\n",
"Naofumi Akimoto , Fast Soft Color Segmentation\n",
"José Pedro Iglesias , Global Optimality for Point Set Registration Using Semidefinite Programming\n",
"Rameen Abdal , Image2StyleGAN++: How to Edit the Embedded Images?\n",
"Yanru Huang , SQE: a Self Quality Evaluation Metric for Parameters Optimization in Multi-Object Tracking\n",
"Lin Wang , EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning\n",
"Qiangchang Wang , Hierarchical Pyramid Diverse Attention Networks for Face Recognition\n",
"Sinéad Kearney , RGBD-Dog: Predicting Canine Pose from RGBD Sensors\n",
"Kui Jiang , Multi-Scale Progressive Fusion Network for Single Image Deraining\n",
"Philipp Henzler , Learning a Neural 3D Texture Space From 2D Exemplars\n",
"Yandong Li , BachGAN: High-Resolution Image Synthesis From Salient Object Layout\n",
"Jaejun Yoo , Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy\n",
"Tianyu Guo , On Positive-Unlabeled Classification in GAN\n",
"Wenyan Cong , DoveNet: Deep Image Harmonization via Domain Verification\n",
"Takuhiro Kaneko , Noise Robust Generative Adversarial Networks\n",
"Apratim Bhattacharyya , Normalizing Flows With Multi-Scale Autoregressive Priors\n",
"Gyumin Shim , Robust Reference-Based Super-Resolution With Similarity-Aware Deformable Convolution\n",
"Amy Zhao , Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings\n",
"Ali Rahmati , GeoDA: A Geometric Framework for Black-Box Adversarial Attacks\n",
"Seongwook Yoon , GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data\n",
"You Huang , An Internal Covariate Shift Bounding Algorithm for Deep Neural Networks by Unitizing Layers’ Outputs\n",
"Marcus Valtonen Örnhag , A Unified Optimization Framework for Low-Rank Inducing Penalties\n",
"Yunpei Jia , Single-Side Domain Generalization for Face Anti-Spoofing\n",
"Matan Haroush , The Knowledge Within: Methods for Data-Free Model Compression\n",
"Eirikur Agustsson , Scale-Space Flow for End-to-End Optimized Video Compression\n",
"Colin Graber , Dynamic Neural Relational Inference\n",
"Rui Hou , Real-Time Panoptic Segmentation From Dense Detections\n",
"Sida Peng , Deep Snake for Real-Time Instance Segmentation\n",
"Chenyang Zhu , AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss\n",
"Yanwei Li , Learning Dynamic Routing for Semantic Segmentation\n",
"Jinlin Liu , Boosting Semantic Human Matting With Coarse Annotations\n",
"Hao Chen , BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation\n",
"Jing Zhang , UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders\n",
"Nicolas Donati , Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence\n",
"Agastya Kalra , Deep Polarization Cues for Transparent Object Segmentation\n",
"Jonas Schult , DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes\n",
"Konstantin Sofiiuk , F-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation\n",
"Muxingzi Li , Approximating shapes in images with low-complexity polygons\n",
"Wenqian Liu , Towards Visually Explaining Variational Autoencoders\n",
"Weibin Wu , Towards Global Explanations of Convolutional Neural Networks With Concept Attribution\n",
"Zixuan Huang , Interpretable and Accurate Fine-grained Recognition via Region Grouping\n",
"Naman Bansal , SAM: The Sensitivity of Attribution Methods to Hyperparameters\n",
"Haohan Wang , High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks\n",
"Sheng-Yu Wang , CNN-Generated Images Are Surprisingly Easy to Spot… for Now\n",
"Shaohua Li , FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions\n",
"Hongxu Yin , Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion\n",
"Hui Tang , Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering\n",
"Gaurav Mittal , HyperSTAR: Task-Aware Hyperparameters for Deep Networks\n",
"Linchao Zhu , ActBERT: Learning Global-Local Video-Text Representations\n",
"Beichen Zhang , State-Relabeling Adversarial Active Learning\n",
"Jinjie Mai , Erasing Integrated Learning: A Simple Yet Effective Approach for Weakly Supervised Object Localization\n",
"Dat Huynh , A Shared Multi-Attention Framework for Multi-Label Zero-Shot Learning\n",
"Tomas Jakab , Self-Supervised Learning of Interpretable Keypoints From Unlabelled Videos\n",
"Bo Liu , Few-Shot Open-Set Recognition Using Meta-Learning\n",
"Han-Jia Ye , Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions\n",
"Ping Hu , Temporally Distributed Networks for Fast Video Semantic Segmentation\n",
"Christoph Kamann , Benchmarking the Robustness of Semantic Segmentation Models\n",
"Sylvestre-Alvise Rebuffi , There and Back Again: Revisiting Backpropagation Saliency Methods\n",
"Jiabo Huang , Deep Semantic Clustering by Partition Confidence Maximisation\n",
"Kaichun Mo , StructEdit: Learning Structural Shape Variations\n",
"Chaoqi Chen , Harmonizing Transferability and Discriminability for Adapting Object Detectors\n",
"Xuhua Huang , Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching\n",
"Ho Kei Cheng , CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement\n",
"Ziwei Zhang , Correlating Edge, Pose With Parsing\n",
"Yong-Qiang Tan , VecRoad: Point-Based Iterative Graph Exploration for Road Graphs Extraction\n",
"Zeyu Wang , Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation\n",
"Wenguan Wang , Hierarchical Human Parsing With Typed Part-Relation Reasoning\n",
"Adam Kortylewski , Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion\n",
"Xia Li , Spatial Pyramid Based Graph Reasoning for Semantic Segmentation\n",
"Xiankai Lu , Learning Video Object Segmentation From Unlabeled Videos\n",
"Xiaomei Zhang , Part-Aware Context Network for Human Parsing\n",
"Pei Wang , SCOUT: Self-Aware Discriminant Counterfactual Explanations\n",
"Yu-Ting Chang , Weakly-Supervised Semantic Segmentation via Sub-Category Exploration\n",
"Janghyeon Lee , Continual Learning With Extended Kronecker-Factored Approximate Curvature\n",
"Yanchao Yang , Phase Consistent Ecological Domain Adaptation\n",
"Yunpeng Zhai , AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-Identification\n",
"Francis Engelmann , 3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance Segmentation\n",
"Denis Gudovskiy , Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision\n",
"Kaihua Zhang , Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection\n",
"Yongri Piao , A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object Detection\n",
"Peizhao Li , Deep Fair Clustering for Visual Learning\n",
"Yangxin Wu , Bidirectional Graph Reasoning Network for Panoptic Segmentation\n",
"Chih-Hui Ho , Exploit Clues From Views: Self-Supervised and Regularized Learning for Multiview Object Recognition\n",
"Xiang Gu , Spherical Space Domain Adaptation With Robust Pseudo-Label Loss\n",
"Zhihe Lu , Stochastic Classifiers for Unsupervised Domain Adaptation\n",
"Nenglun Chen , Unsupervised Learning of Intrinsic Structural Representation Points\n",
"Justin Liang , PolyTransform: Deep Polygon Transformer for Instance Segmentation\n",
"Huajun Zhou , Interactive Two-Stream Decoder for Accurate and Fast Saliency Detection\n",
"Wang Zhao , Towards Better Generalization: Joint Depth-Pose Learning Without PoseNet\n",
"Shuxin Wang , LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation\n",
"Zhibo Fan , FGN: Fully Guided Network for Few-Shot Instance Segmentation\n",
"Vladislav Golyanik , A Quantum Computational Approach to Correspondence Problems on Point Sets\n",
"Peibin Chen , Data-Efficient Semi-Supervised Learning by Reliable Edge Mining\n",
"Matthew J. Vowels , NestedVAE: Isolating Common Factors via Weak Supervision\n",
"Sinan Wang , Progressive Adversarial Networks for Fine-Grained Domain Adaptation\n",
"Patrick Esser , A Disentangling Invertible Interpretation Network for Explaining Latent Representations\n",
"Fabio Cermelli , Modeling the Background for Incremental Learning in Semantic Segmentation\n",
"Yujun Shen , Interpreting the Latent Space of GANs for Semantic Face Editing\n",
"Jianqiang Wan , Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation\n",
"Tao Li , Self-Learning With Rectification Strategy for Human Parsing\n",
"Shaoteng Liu , Hyperbolic Visual Embedding Learning for Zero-Shot Recognition\n",
"Guy Davidson , Sequential Mastery of Multiple Visual Tasks: Networks Naturally Learn to Learn and Forget to Forget\n",
"Zizhao Zhang , Distilling Effective Supervision From Severe Label Noise\n",
"Aditya Golatkar , Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks\n",
"Yuqing Wang , CenterMask: Single Shot Instance Segmentation With Point Representation\n",
"Mei Wang , Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning\n",
"Yaxing Wang , MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images\n",
"Vignesh Ramanathan , DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data\n",
"Yi Shi , Unsupervised Deep Shape Descriptor With Point Distribution Learning\n",
"Zhongyou Xu , Stylization-Based Architecture for Fast Deep Exemplar Colorization\n",
"Sungha Choi , Cars Can’t Fly Up in the Sky: Improving Urban-Scene Segmentation via Height-Driven Attention Networks\n",
"Xi Chen , State-Aware Tracker for Real-Time Video Object Segmentation\n",
"Xuan Liao , Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning\n",
"Song Bian , ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition\n",
"Youwei Pang , Multi-Scale Interactive Network for Salient Object Detection\n",
"Dat Huynh , Interactive Multi-Label CNN Learning With Partial Labels\n",
"Yawar Siddiqui , ViewAL: Active Learning With Viewpoint Entropy for Semantic Segmentation\n",
"Myungsub Choi , Scene-Adaptive Video Frame Interpolation via Meta-Learning\n",
"Min-Hung Chen , Action Segmentation With Joint Self-Supervised Temporal Domain Adaptation\n",
"Haochen Wang , Pixel Consensus Voting for Panoptic Segmentation\n",
"Qiuxiang Zhong , Minimizing Discrete Total Curvature for Image Processing\n",
"Daniel Zoran , Towards Robust Image Classification Using Sequential Attention Models\n",
"Evangelos Sariyanidi , Discovering Synchronized Subsets of Sequences: A Large Scale Solution\n",
"Eric-Tuan Le , Going Deeper With Lean Point Networks\n",
"Rui Xiang , Efficient and Robust Shape Correspondence via Sparsity-Enforced Quadratic Assignment\n",
"Yiran Xu , Explainable Object-Induced Action Decision for Autonomous Vehicles\n",
"Ildoo Kim , Spatially Attentive Output Layer for Image Classification\n",
"Mohammad A. A. K. Jalwana , Attack to Explain Deep Representation\n",
"Kosuke Tanizaki , Computing Valid P-Values for Image Segmentation by Selective Inference\n",
"Chengxu Zhuang , Unsupervised Learning From Video With Deep Neural Embeddings\n",
"Xiufeng Xie , Partial Weight Adaptation for Robust DNN Inference\n",
"Fuxiang Huang , Probability Weighted Compact Feature for Domain Adaptive Retrieval\n",
"Michael Strecke , Where Does It End? – Reasoning About Hidden Surfaces by Object Intersection Constraints\n",
"Yang Zhang , PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation\n",
"Dwarikanath Mahapatra , Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation\n",
"Yiheng Zhang , Transferring and Regularizing Prediction for Semantic Segmentation\n",
"Kun Su , PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition\n",
"Rui Li , Model Adaptation: Unsupervised Domain Adaptation Without Source Data\n",
"Yanru Xiao , Evade Deep Image Retrieval by Stashing Private Images in the Hash Space\n",
"Jinkyu Kim , Advisable Learning for Self-Driving Vehicles by Internalizing Observation-to-Action Rules\n",
"VSR Veeravasarapu , ProAlignNet: Unsupervised Learning for Progressively Aligning Noisy Contours\n",
"Shawn Xu , Attribution in Scale and Space\n",
"Vedika Agarwal , Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing\n",
"Shi-Xue Zhang , Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection\n",
"Junran Peng , Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels\n",
"Boyan Zhou , BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition\n",
"Kaiming He , Momentum Contrast for Unsupervised Visual Representation Learning\n",
"Gedas Bertasius , Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation\n",
"Zhihui Wang , Weakly Supervised Fine-Grained Image Classification via Guassian Mixture Model Oriented Discriminative Learning\n",
"Shifeng Zhang , Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection\n",
"Thibaut Durand , Learning User Representations for Open Vocabulary Image Hashtag Prediction\n",
"Ayan Kumar Bhunia , Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval\n",
"Suiyi Ling , Few-Shot Pill Recognition\n",
"Alexander Kirillov , PointRend: Image Segmentation As Rendering\n",
"Yuliang Liu , ABCNet: Real-Time Scene Text Spotting With Adaptive Bezier-Curve Network\n",
"Guoqiang Gong , Learning Temporal Co-Attention Models for Unsupervised Video Action Localization\n",
"Yizhou Zhou , Spatiotemporal Fusion in 3D CNNs: A Probabilistic View\n",
"Yansong Tang , Uncertainty-Aware Score Distribution Learning for Action Quality Assessment\n",
"Anna Kukleva , Learning Interactions and Relationships Between Movie Characters\n",
"Dahun Kim , Video Panoptic Segmentation\n",
"Dandan Shan , Understanding Human Hands in Contact at Internet Scale\n",
"Antoine Miech , End-to-End Learning of Visual Representations From Uncurated Instructional Videos\n",
"Evonne Ng , You2Me: Inferring Body Pose in Egocentric Video via First and Second Person Interactions\n",
"Jie Chen , Learning a Weakly-Supervised Video Actor-Action Segmentation Model With a Wise Selection\n",
"Abdullah Haroon Rasheed , Learning to Measure the Static Friction Coefficient in Cloth Contact\n",
"Sagie Benaim , SpeedNet: Learning the Speediness in Videos\n",
"Karren Yang , Telling Left From Right: Learning Spatial Correspondence of Sight and Sound\n",
"Bruce McIntosh , Visual-Textual Capsule Routing for Text-Based Video Segmentation\n",
"Sibei Yang , Graph-Structured Referring Expression Reasoning in the Wild\n",
"Shizhe Chen , Say As You Wish: Fine-Grained Control of Image Caption Generation With Abstract Scene Graphs\n",
"Thao Minh Le , Hierarchical Conditional Relation Networks for Video Question Answering\n",
"Yuankai Qi , REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments\n",
"Ronghang Hu , Iterative Answer Prediction With Pointer-Augmented Multimodal Transformers for TextVQA\n",
"Ramprasaath R. Selvaraju , SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions\n",
"Fengda Zhu , Vision-Language Navigation With Self-Supervised Auxiliary Reasoning Tasks\n",
"Necati Cihan Camgöz , Sign Language Transformers: Joint End-to-End Sign Language Recognition and Translation\n",
"Gen Luo , Multi-Task Collaborative Network for Joint Referring Expression Comprehension and Segmentation\n",
"Ehsan Abbasnejad , Counterfactual Vision and Language Learning\n",
"Dan Guo , Iterative Context-Aware Graph Inference for Visual Dialog\n",
"Peixi Xiong , TA-Student VQA: Multi-Agents Training by Self-Questioning\n",
"Hengshuang Zhao , Exploring Self-Attention for Image Recognition\n",
"Zhenfang Chen , Cops-Ref: A New Dataset and Task on Compositional Referring Expression Comprehension\n",
"Jiang-Jiang Liu , Improving Convolutional Networks With Self-Calibrated Convolutions\n",
"Junyeong Kim , Modality Shifting Attention Network for Multi-Modal Video Question Answering\n",
"Yunzhong Hou , Learning to Structure an Image With Few Colors\n",
"Xinyu Wang , On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering\n",
"Ziad Al-Halah , From Paris to Berlin: Discovering Fashion Style Influences Around the World\n",
"Anyi Rao , A Local-to-Global Approach to Multi-Modal Movie Scene Segmentation\n",
"Mengmeng Xu , G-TAD: Sub-Graph Localization for Temporal Action Detection\n",
"Yong-Lu Li , Detailed 2D-3D Joint Representation for Human-Object Interaction\n",
"Xuesong Chen , One-Shot Adversarial Attacks on Visual Tracking With Dual Attention\n",
"Yue Wu , Rethinking Classification and Localization for Object Detection\n",
"Shuda Li , Correspondence Networks With Adaptive Neighbourhood Consensus\n",
"Wei Ke , Multiple Anchor Learning for Visual Object Detection\n",
"Chenyun Wu , PhraseCut: Language-Based Image Segmentation in the Wild\n",
"Rufeng Zhang , Mask Encoding for Single Shot Instance Segmentation\n",
"Jingwei Ji , Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs\n",
"Muli Yang , Learning Unseen Concepts via Hierarchical Decomposition and Composition\n",
"Seokeon Choi , Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification\n",
"Huaizu Jiang , In Defense of Grid Features for Visual Question Answering\n",
"Tao Zhou , Multi-Mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation\n",
"Runhao Zeng , Dense Regression Network for Video Grounding\n",
"Yingwei Li , Neural Architecture Search for Lightweight Non-Local Networks\n",
"Yanzhao Zhou , Learning Saliency Propagation for Semi-Supervised Instance Segmentation\n",
"Arsha Nagrani , Speech2Action: Cross-Modal Supervision for Action Recognition\n",
"Longteng Guo , Normalized and Geometry-Aware Self-Attention Network for Image Captioning\n",
"Yihong Chen , Memory Enhanced Global-Local Aggregation for Video Object Detection\n",
"Kaiyue Pang , Solving Mixed-Modal Jigsaw Puzzle for Fine-Grained Sketch-Based Image Retrieval\n",
"Hang Zhou , LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud Based Deep Networks\n",
"Jiaxu Miao , Memory Aggregation Networks for Efficient Interactive Video Object Segmentation\n",
"Ben-Zion Vatashsky , VQA With No Questions-Answers Training\n",
"Debidatta Dwibedi , Counting Out Time: Class Agnostic Video Repetition Counting in the Wild\n",
"Shiyi Lan , SaccadeNet: A Fast and Accurate Object Detector\n",
"Zhizheng Zhang , Multi-Granularity Reference-Aided Attentive Feature Aggregation for Video-Based Person Re-Identification\n",
"Arka Sadhu , Video Object Grounding Using Semantic Roles in Language Description\n",
"Ilija Radosavovic , Designing Network Design Spaces\n",
"Jiasen Lu , 12-in-1: Multi-Task Vision and Language Representation Learning\n",
"Qian Xie , MLCVNet: Multi-Level Context VoteNet for 3D Object Detection\n",
"Ruohan Gao , Listen to Look: Action Recognition by Previewing Audio\n",
"Ruyi Ji , Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization\n",
"Chuang Gan , Music Gesture for Visual Sound Separation\n",
"Shaofei Huang , Referring Image Segmentation via Cross-Modal Progressive Comprehension\n",
"Tom F. H. Runia , Cloth in the Wind: A Case Study of Physical Measurement Through Simulation\n",
"Junwei Liang , The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction\n",
"Zhiwei Dong , CentripetalNet: Pursuing High-Quality Keypoint Pairs for Object Detection\n",
"Shaoshuai Shi , PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection\n",
"Amir Markovitz , Graph Embedded Pose Clustering for Anomaly Detection\n",
"Jiaming Sun , Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation\n",
"Peng Zhou , Deepstrip: High-Resolution Boundary Refinement\n",
"Guangcong Wang , Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for Cross-Domain Person Re-Identification\n",
"Marcella Cornia , Meshed-Memory Transformer for Image Captioning\n",
"Hengduo Li , Learning From Noisy Anchors for One-Stage Object Detection\n",
"Zhongzheng Ren , Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection\n",
"Syeda Mariam Ahmed , Density-Based Clustering for 3D Object Detection in Point Clouds\n",
"Kaidi Cao , Few-Shot Video Classification via Temporal Alignment\n",
"Jiemin Fang , Densely Connected Search Space for More Flexible Neural Architecture Search\n",
"Shizhe Chen , Fine-Grained Video-Text Retrieval With Hierarchical Graph Reasoning\n",
"Josip Šarić , Warp to the Future: Joint Forecasting of Features and Feature Motion\n",
"Zhengsu Chen , Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio\n",
"Zhu Zhang , Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences\n",
"Ya Jing , Cross-Modal Cross-Domain Moment Alignment Network for Person Search\n",
"Qizhe Xie , Self-Training With Noisy Student Improves ImageNet Classification\n",
"Lijie Fan , Learning Longterm Representations for Person Re-Identification Using Radio Signals\n",
"Keunhong Park , LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation\n",
"Justin Lazarow , Learning Instance Occlusion for Panoptic Segmentation\n",
"Yi Zhu , Vision-Dialog Navigation by Exploring Cross-Modal Memory\n",
"Mohit Shridhar , ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks\n",
"Xin Huang , NMS by Representative Region: Towards Crowded Pedestrian Detection by Proposal Pairing\n",
"Tan Wang , Visual Commonsense R-CNN\n",
"Qilong Wang , What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective\n",
"Mingxing Tan , EfficientDet: Scalable and Efficient Object Detection\n",
"Mingjie Sun , Fast Template Matching and Update for Video Object Tracking and Segmentation\n",
"Long Chen , Counterfactual Samples Synthesizing for Robust Visual Question Answering\n",
"Jonghwan Mun , Local-Global Video-Text Interactions for Temporal Grounding\n",
"Jun Li , Set-Constrained Viterbi for Set-Supervised Action Segmentation\n",
"Yunbo Wang , Probabilistic Video Prediction From Noisy Data With a Posterior Confidence\n",
"Chenchen Liu , Beyond Short-Term Snippet: Video Relation Detection With Spatio-Temporal Global Context\n",
"Gunnar A. Sigurdsson , Visual Grounding in Video for Unsupervised Word Translation\n",
"Jiaxin Qi , Two Causal Principles for Improving Visual Dialog\n",
"Boxiao Pan , Spatio-Temporal Graph for Video Captioning With Knowledge Distillation\n",
"Yue Liao , A Real-Time Cross-Modality Correlation Filtering Method for Referring Expression Comprehension\n",
"Jia Chen , Better Captioning With Sequence-Level Exploration\n",
"Jingzhou Liu , Violin: A Large-Scale Dataset for Video-and-Language Inference\n",
"Jun Cheng , RiFeGAN: Rich Feature Generation for Text-to-Image Synthesis From Prior Knowledge\n",
"Chunxiao Liu , Graph Structured Network for Image-Text Matching\n",
"Washington Ramos , Straight to the Point: Fast-Forwarding Videos via Reinforcement Learning Using Textual Data\n",
"Xi Wei , Multi-Modality Cross Attention Network for Image and Sentence Matching\n",
"Yen-Chang Hsu , Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data\n",
"Donghoon Lee , Learning Augmentation Network via Influence Functions\n",
"Yingwei Pan , X-Linear Attention Networks for Image Captioning\n",
"Dongkai Wang , Unsupervised Person Re-Identification via Multi-Label Classification\n",
"Yu Li , Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax\n",
"Peiyun Hu , What You See is What You Get: Exploiting Visibility for 3D Object Detection\n",
"Wei Zhai , Deep Structure-Revealed Network for Texture Recognition\n",
"Qiushan Guo , Online Knowledge Distillation via Collaborative Learning\n",
"Yinpeng Chen , Dynamic Convolution: Attention Over Convolution Kernels\n",
"Zetong Yang , 3DSSD: Point-Based 3D Single Stage Object Detector\n",
"Yang Wang , Deep Degradation Prior for Low-Quality Image Classification\n",
"Wei-Lin Hsiao , ViBE: Dressing for Diverse Body Shapes\n",
"Krishna Kumar Singh , Don’t Judge an Object by Its Context: Learning to Overcome Contextual Bias\n",
"Na Zhao , SESS: Self-Ensembling Semi-Supervised 3D Object Detection\n",
"Manchen Wang , Combining Detection and Tracking for Human Pose Estimation in Videos\n",
"Fanbo Xiang , SAPIEN: A SimulAted Part-Based Interactive ENvironment\n",
"Qingyong Hu , RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds\n",
"Zhenpei Yang , SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving\n",
"Edward Kim , A Programmatic and Semantic Approach to Explaining and Debugging Neural Network Based Object Detectors\n",
"Thomas Roddick , Predicting Semantic Map Representations From Images Using Pyramid Occupancy Networks\n",
"Christiane Sommer , Efficient Derivative Computation for Cumulative B-Splines on Lie Groups\n",
"Kanishka Rao , RL-CycleGAN: Reinforcement Learning Aware Simulation-to-Real\n",
"Sivabalan Manivasagam , LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World\n",
"Himangi Mittal , Just Go With the Flow: Self-Supervised Scene Flow Estimation\n",
"Srikanth Malla , TITAN: Future Forecast Using Action Priors\n",
"Amir R. Zamir , Robust Learning Through Cross-Task Consistency\n",
"Xingjia Pan , Dynamic Refinement Network for Oriented and Densely Packed Object Detection\n",
"Maxim Berman , AOWS: Adaptive and Optimal Network Width Search With Latency Constraints\n",
"Christopher Choy , High-Dimensional Convolutional Networks for Geometric Pattern Recognition\n",
"Saurabh Singh , Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks\n",
"Jan Eric Lenssen , Deep Iterative Surface Normal Estimation\n",
"Calvin Murdock , Dataless Model Selection With the Deep Frame Potential\n",
"Arash Vahdat , UNAS: Differentiable Architecture Search Meets Reinforcement Learning\n",
"Anthony Ortiz , Local Context Normalization: Revisiting Local Normalization\n",
"Weiwei Sun , ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning\n",
"Eshed Ohn-Bar , Learning Situational Driving\n",
"Kaiyue Lu , From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction\n",
"Yong-Lu Li , Symmetry and Group in Attribute-Object Compositions\n",
"Yunhang Shen , Noise-Aware Fully Webly Supervised Object Detection\n",
"Zongdai Liu , 3D Part Guided Image Editing for Fine-Grained Object Understanding\n",
"Zhishuai Zhang , STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction\n",
"Xiawu Zheng , Rethinking Performance Estimation in Neural Architecture Search\n",
"Xiaoshui Huang , Feature-Metric Registration: A Fast Semi-Supervised Approach for Robust Point Cloud Registration Without Correspondences\n",
"Fei Xue , Learning Multi-View Camera Relocalization With Graph Neural Networks\n",
"Pengxiang Wu , MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird’s Eye View Maps\n",
"Dongzhan Zhou , EcoNAS: Finding Proxies for Economical Neural Architecture Search\n",
"Jianyuan Guo , Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection\n",
"Shunwang Gong , Geometrically Principled Connections in Graph Neural Networks\n",
"Zhaoyi Wan , On Vocabulary Reliance in Scene Text Recognition\n",
"Vishnu Suresh Lokhande , Generating Accurate Pseudo-Labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations\n",
"Hao-Shu Fang , GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping\n",
"Jianzhun Shao , PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation\n",
"Junfeng Guan , Through Fog High-Resolution Imaging Using Millimeter Wave Radar\n",
"Vincent Le Guen , Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction\n",
"Jiale Cao , D2Det: Towards High Quality Object Detection and Instance Segmentation\n",
"Junbo Yin , LiDAR-Based Online 3D Video Object Detection With Graph-Based Message Passing and Spatiotemporal Transformer Attention\n",
"Jiayun Wang , Orthogonal Convolutional Neural Networks\n",
"Xiaoyi Dong , Self-Robust 3D Point Recognition via Gather-Vector Guidance\n",
"Jiyang Gao , VectorNet: Encoding HD Maps and Agent Dynamics From Vectorized Representation\n",
"Qilong Wang , ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks\n",
"Yuan Gao , MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning\n",
"Ming Liang , PnPNet: End-to-End Perception and Prediction With Tracking in the Loop\n",
"Guanglu Song , Revisiting the Sibling Head in Object Detector\n",
"Kuo-Hao Zeng , Visual Reaction: Learning to Play Catch With Your Drone\n",
"Yuhang Cao , Prime Sample Attention in Object Detection\n",
"Xianzhi Du , SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization\n",
"Xingyu Liu , KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects\n",
"Huan Lei , SegGCN: Efficient 3D Point Cloud Segmentation With Fuzzy Spherical Kernel\n",
"Holger Caesar , nuScenes: A Multimodal Dataset for Autonomous Driving\n",
"Yisheng He , PVN3D: A Deep Point-Wise 3D Keypoints Voting Network for 6DoF Pose Estimation\n",
"Anne S. Wannenwetsch , Probabilistic Pixel-Adaptive Refinement Networks\n",
"Suchen Wang , Discovering Human Interactions With Novel Objects via Zero-Shot Learning\n",
"Jingru Tan , Equalization Loss for Long-Tailed Object Recognition\n",
"Mingyu Ding , Learning Depth-Guided Convolutions for Monocular 3D Object Detection\n",
"Mario Bijelic , Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather\n",
"Pengkai Zhu , Don’t Even Look Once: Synthesizing Features for Zero-Shot Detection\n",
"Tomáš Hodaň , EPOS: Estimating 6D Pose of Objects With Symmetries\n",
"Yan Wang , Train in Germany, Test in the USA: Making 3D Object Detectors Generalize\n",
"Chang-Dong Xu , Exploring Categorical Regularization for Domain Adaptive Object Detection\n",
"Kent Fujiwara , Neural Implicit Embedding for Point Cloud Analysis\n",
"Shang Gao , Pose-Guided Visible Part Matching for Occluded Person ReID\n",
"Yuxin Wang , ContourNet: Taking a Further Step Toward Accurate Arbitrary-Shaped Scene Text Detection\n",
"Aditya Prakash , Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving\n",
"Mohan Zhou , Look-Into-Object: Self-Supervised Structure Modeling for Object Recognition\n",
"Sainan Liu , Recognizing Objects From Any View With Object and Viewer-Centered Representations\n",
"Zongxin Yang , Gated Channel Transformation for Visual Recognition\n",
"Lu Chi , Non-Local Neural Networks With Grouped Bilinear Attentional Transforms\n",
"Pramuditha Perera , Generative-Discriminative Feature Representations for Open-Set Recognition\n",
"Zi Jian Yew , RPM-Net: Robust Point Matching Using Learned Features\n",
"Mateusz Malinowski , Sideways: Depth-Parallel Training of Video Models\n",
"Zhihao Xia , Basis Prediction Networks for Effective Burst Denoising With Large Kernels\n",
"Yuqing Zhu , Private-kNN: Practical Differential Privacy for Computer Vision\n",
"Chenhan Jiang , SP-NAS: Serial-to-Parallel Backbone Search for Object Detection\n",
"Chenhang He , Structure Aware Single-Stage 3D Object Detection From Point Cloud\n",
"Anwesan Pal , “Looking at the Right Stuff” – Guided Semantic-Gaze for Autonomous Driving\n",
"Vivek Ramanujan , What’s Hidden in a Randomly Weighted Neural Network?\n",
"Elad Eban , Structured Multi-Hashing for Model Compression\n",
"Mahyar Najibi , DOPS: Learning to Detect 3D Objects and Predict Their 3D Shapes\n",
"Yiming Li , AutoTrack: Towards High-Performance Visual Tracking for UAV With Automatic Spatio-Temporal Regularization\n",
"Zhihang Li , GP-NAS: Gaussian Process Based Neural Architecture Search\n",
"Ning Wang , NAS-FCOS: Fast Neural Architecture Search for Object Detection\n",
"Cheng Wang , TCTS: A Task-Consistent Two-Stage Framework for Person Search\n",
"Ron Litman , SCATTER: Selective Context Attentional Scene Text Recognizer\n",
"Dengsheng Chen , Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation\n",
"Xiaotian Li , Hierarchical Scene Coordinate Classification and Regression for Visual Localization\n",
"Chaoyang He , MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation\n",
"Eduardo D. C. Carvalho , Scalable Uncertainty for Computer Vision With Functional Variational Inference\n",
"Abdelrahman Eldesokey , Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End\n",
"Keivan Alizadeh vahid , Butterfly Transform: An Efficient FFT Based Neural Architecture Design\n",
"Ji Zhao , A Certifiably Globally Optimal Solution to Generalized Essential Matrix Estimation\n",
"Zhichao Lu , MUXConv: Information Multiplexing in Convolutional Neural Networks\n",
"Amir Hertz , PointGMM: A Neural GMM Network for Point Clouds\n",
"Nick Moran , Noisier2Noise: Learning to Denoise From Unpaired Noisy Data\n",
"Ricardo Fabbri , TRPLP – Trifocal Relative Pose From Lines at Points\n",
"Shoukang Hu , DSNAS: Direct Neural Architecture Search Without Parameter Retraining\n",
"Yongjian Chen , MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships\n",
"Jinhyung Kim , Regularization on Spatio-Temporally Smoothed Feature for Action Recognition\n",
"Deli Yu , Towards Accurate Scene Text Recognition With Semantic Reasoning Networks\n",
"Juncheng Li , Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation\n",
"Avishek Siris , Inferring Attention Shift Ranks of Objects for Image Saliency\n",
"Sk Miraj Ahmed , Camera On-Boarding for Person Re-Identification Using Hypothesis Transfer Learning\n",
"Mattia Rossi , Joint Graph-Based Depth Refinement and Normal Estimation\n",
"Qi Qian , DR Loss: Improving Object Detection by Distributional Ranking\n",
"Guansong Pang , Self-Trained Deep Ordinal Regression for End-to-End Video Anomaly Detection\n",
"Xiaoyu Tao , Few-Shot Class-Incremental Learning\n",
"Enze Xie , PolarMask: Single Shot Instance Segmentation With Polar Representation\n",
"Chi Zhang , DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover’s Distance and Structured Classifiers\n",
"Xuangeng Chu , Detection in Crowded Scenes: One Proposal, Multiple Predictions\n",
"Sergey Zakharov , Autolabeling 3D Objects With Differentiable Rendering of SDF Shape Priors\n",
"Shiyin Zhang , Interactive Object Segmentation With Inside-Outside Guidance\n",
"Yaoyao Liu , Mnemonics Training: Multi-Class Incremental Learning Without Forgetting\n",
"Yecheng Lyu , Learning to Segment 3D Point Clouds in 2D Image Space\n",
"Marvin Eisenberger , Smooth Shells: Multi-Scale Shape Registration With Functional Maps\n",
"Yude Wang , Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation\n",
"Pedram Pad , Efficient Neural Vision Systems Based on Convolutional Image Acquisition\n",
"Zhiqiu Lin , Visual Chirality\n",
"Xing Xu , What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images\n",
"Scott Workman , Dynamic Traffic Modeling From Overhead Imagery\n",
"Vivien Sainte Fare Garnot , Satellite Image Time Series Classification With Pixel-Set Encoders and Temporal Self-Attention\n",
"Xi Zhang , DAVD-Net: Deep Audio-Aided Video Decompression of Talking Heads\n",
"Burak Uzkent , Learning When and Where to Zoom With Deep Reinforcement Learning\n",
"Minghao Xu , Cross-Domain Detection via Graph-Induced Prototype Alignment\n",
"Thomas Elsken , Meta-Learning of Neural Architectures for Few-Shot Learning\n",
"Jogendra Nath Kundu , Towards Inheritable Models for Open-Set Domain Adaptation\n",
"Jiteng Mu , Learning From Synthetic Animals\n",
"Han-Jia Ye , Distilling Cross-Task Knowledge via Relationship Matching\n",
"Ziwei Liu , Open Compound Domain Adaptation\n",
"Changqian Yu , Context Prior for Scene Segmentation\n",
"Marc Eder , Tangent Images for Mitigating Spherical Distortion\n",
"Tawfiq Salem , Learning a Dynamic Map of Visual Appearance\n",
"Wenbo Zheng , Webly Supervised Knowledge Embedding Model for Visual Reasoning\n",
"Shuhao Cui , Gradually Vanishing Bridge for Adversarial Domain Adaptation\n",
"Juan León Alcázar , Active Speakers in Context\n",
"Bowen Cheng , Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation\n",
"Yuenan Hou , Inter-Region Affinity Distillation for Road Marking Segmentation\n",
"Yu-Syuan Xu , Unified Dynamic Convolutional Network for Super-Resolution With Variational Degradations\n",
"Luca Bertinetto , Making Better Mistakes: Leveraging Class Hierarchies With Deep Networks\n",
"Jingwen Ye , Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN\n",
"Kunpeng Li , Screencast Tutorial Video Understanding\n",
"Yilun Chen , DSGN: Deep Stereo Geometry Network for 3D Object Detection\n",
"Jing Zhang , Weakly-Supervised Salient Object Detection via Scribble Annotations\n",
"Fengchun Qiao , Learning to Learn Single Domain Generalization\n",
"Xiaofeng Liu , Severity-Aware Semantic Segmentation With Reinforced Wasserstein Training\n",
"Aoxue Li , Boosting Few-Shot Learning With Adaptive Margin Loss\n",
"Irit Chelly , JA-POLS: A Moving-Camera Background Model via Joint Alignment and Partially-Overlapping Local Subspaces\n",
"Chaoxu Guo , AugFPN: Improving Multi-Scale Feature Learning for Object Detection\n",
"Maximilian Jaritz , xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation\n",
"Di Chen , Norm-Aware Embedding for Efficient Person Search\n",
"Qi Chen , Intelligent Home 3D: Automatic 3D-House Design From Linguistic Descriptions Only\n",
"Zhonghao Wang , Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation\n",
"Angtian Wang , Robust Object Detection Under Occlusion With Context-Aware CompositionalNets\n",
"Hui Chen , IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval\n",
"Shaobo Min , Domain-Aware Visual Bias Eliminating for Generalized Zero-Shot Learning\n",
"Yassine Ouali , Semi-Supervised Semantic Segmentation With Cross-Consistency Training\n",
"Debang Li , Learning to Learn Cropping Models for Different Aspect Ratio Requirements\n",
"Weiyao Wang , What Makes Training Multi-Modal Classification Networks Hard?\n",
"Zhihong Chen , Selective Transfer With Reinforced Transfer Network for Partial Domain Adaptation\n",
"Mostafa S. Ibrahim , Semi-Supervised Semantic Image Segmentation With Self-Correcting Networks\n",
"Ruimao Zhang , Exemplar Normalization for Learning Deep Representation\n",
"Mengshi Qi , Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation\n",
"Difei Gao , Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text\n",
"Rui Liu , StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching\n",
"Jiamin Wu , Self-Supervised Domain-Aware Generative Network for Generalized Zero-Shot Learning\n",
"Niels Jeppesen , Sparse Layered Graphs for Multi-Object Segmentation\n",
"Yongzhi Li , Visual-Semantic Matching by Exploring High-Order Attention and Distraction\n",
"Haiyong Jiang , End-to-End 3D Point Cloud Instance Segmentation Without Detection\n",
"Zhengxia Zou , Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images\n",
"Cristóbal Eyzaguirre , Differentiable Adaptive Computation Time for Visual Reasoning\n",
"Sean Moran , DeepLPF: Deep Local Parametric Filters for Image Enhancement\n",
"Yikai Wang , Instance Credibility Inference for Few-Shot Learning\n",
"Yi Tu , Learning From Web Data With Self-Organizing Memory Module\n",
"Zhongjie Yu , TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning\n",
"Zongyan Han , Learning the Redundancy-Free Features for Generalized Zero-Shot Object Recognition\n",
"Devendra Singh Chaplot , Neural Topological SLAM for Visual Navigation\n",
"Menglong Yang , WaveletStereo: Learning Wavelet Coefficients of Disparity Map in Stereo Matching\n",
"Xiaoyi Dong , Robust Superpixel-Guided Attentional Adversarial Attack\n",
"Yun-Hsuan Lin , BEDSR-Net: A Deep Shadow Removal Network From a Single Document Image\n",
"Kai Li , Cross-Domain Document Object Detection: Benchmark Suite and Method\n",
"Xu Cheng , Explaining Knowledge Distillation by Quantifying the Knowledge\n",
"Zhonghua Wu , Exploring Bottom-Up and Top-Down Cues With Attentive Learning for Webly Supervised Object Detection\n",
"Or Isaacs , Enhancing Generic Segmentation With Learned Region Representations\n",
"Ehsan Nezhadarya , Adaptive Hierarchical Down-Sampling for Point Cloud Classification\n",
"Alvin Wan , FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions\n",
"Myeongjin Kim , Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation\n",
"Mengmi Zhang , Putting Visual Object Recognition in Context\n",
"Ze Chen , SLV: Spatial Likelihood Voting for Weakly Supervised Object Detection\n",
"Jiwei Wei , Universal Weighting Metric Learning for Cross-Modal Matching\n",
"Wanli Peng , IDA-3D: Instance-Depth-Aware 3D Object Detection From Stereo Vision for Autonomous Driving\n",
"Jun Wei , Label Decoupling Framework for Salient Object Detection\n",
"Alasdair Tran , Transform and Tell: Entity-Aware News Image Captioning\n",
"Yang Liu , HAMBox: Delving Into Mining High-Quality Anchors on Face Detection\n",
"Jie Yang , Hierarchical Feature Embedding for Attribute Recognition\n",
"Zilong Zhong , Squeeze-and-Attention Networks for Semantic Segmentation\n",
"Sara Beery , Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection\n",
"Ali Varamesh , Mixture Dense Regression for Object Detection and Human Pose Estimation\n",
"Qi Zheng , Syntax-Aware Action Targeting for Video Captioning\n",
"Zijun Wei , Learning Visual Emotion Representations From Web Data\n",
"Shengjie Zhu , The Edge of Depth: Explicit Constraints Between Segmentation and Depth\n",
"Anthony Cioppa , A Context-Aware Loss Function for Action Spotting in Soccer Videos\n",
"Weituo Hao , Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-Training\n",
"Chung-Ching Lin , Video Instance Segmentation Tracking With a Modified VAE Architecture\n",
"Siyuan Li , Deformation-Aware Unpaired Image Translation for Pose Estimation on Laboratory Animals\n",
"Yaohui Cai , ZeroQ: A Novel Zero Shot Quantization Framework\n",
"Bo Yan , Disparity-Aware Domain Adaptation in Stereo Image Restoration\n",
"Heqian Qiu , Offset Bin Classification Network for Accurate Object Detection\n",
"Adnan Siraj Rakin , TBT: Targeted Neural Network Attack With Bit Trojan\n",
"Bowen Zhao , Maintaining Discrimination and Fairness in Class Incremental Learning\n",
"Yi Li , Background Data Resampling for Outlier-Aware Classification\n",
"Prasun Roy , STEFANN: Scene Text Editor Using Font Adaptive Neural Network\n",
"Haoran Zhou , Geometry and Learning Co-Supported Normal Estimation for Unstructured Point Cloud\n",
"Elias N. Zois , Sequential Motif Profiles and Topological Plots for Offline Signature Verification\n",
"Wending Yan , Optical Flow in Dense Foggy Scenes Using Semi-Supervised Learning\n",
"Chaoyi Lin , A Spatial RNN Codec for End-to-End Image Compression\n",
"Ziqi Zhang , Object Relational Graph With Teacher-Recommended Learning for Video Captioning\n",
"Hamid Reza Vaezi Joze , MMTM: Multimodal Transfer Module for CNN Fusion\n",
"Rohit Keshari , Generalized Zero-Shot Learning via Over-Complete Distribution\n",
"Xiang Li , Gait Recognition via Semi-supervised Disentangled Representation Learning to Identity and Covariate Features\n",
"Qizhu Li , Unifying Training and Inference for Panoptic Segmentation\n",
"Liang Du , Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection\n",
"Zheng Lin , Interactive Image Segmentation With First Click Attention\n",
"Yazhao Li , NETNet: Neighbor Erasing and Transferring Network for Better Single Shot Object Detection\n",
"Xinjiang Wang , Scale-Equalizing Pyramid Convolution for Object Detection\n",
"Lei Yang , Learning to Cluster Faces via Confidence and Connectivity Estimation\n",
"Yan Lu , Cross-Modality Person Re-Identification With Shared-Specific Feature Transfer\n",
"Ling Yang , DPGN: Distribution Propagation Graph Network for Few-Shot Learning\n",
"Suichan Li , Density-Aware Graph for Deep Semi-Supervised Visual Recognition\n",
"Moab Arar , Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation\n",
"Hai Phan , Binarizing MobileNet via Evolution-Based Searching\n",
"Jialian Wu , Temporal-Context Enhanced Detection of Heavily Occluded Pedestrians\n",
"Vacit Oguz Yazici , Orderless Recurrent Models for Multi-Label Classification\n",
"Ehsan Abbasnejad , Gold Seeker: Information Gain From Policy Distributions for Goal-Oriented Vision-and-Langauge Reasoning\n",
"Chen-Lin Zhang , Rethinking the Route Towards Weakly Supervised Object Localization\n",
"Kai Li , Adversarial Feature Hallucination Networks for Few-Shot Learning\n",
"Xin Sun , Conditional Gaussian Distribution Learning for Open Set Recognition\n",
"Hao Fang , Connect-and-Slice: An Hybrid Approach for Reconstructing 3D Objects\n",
"Yiluan Guo , Attentive Weights Generation for Few Shot Learning via Information Maximization\n",
"Bo Yan , Assessing Eye Aesthetics for Automatic Multi-Reference Eye In-Painting\n",
"Zhuo Chen , PuppeteerGAN: Arbitrary Portrait Animation With Semantic-Aware Appearance Transformation\n",
"Zhi Qiao , SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition\n",
"Yuwei Zhang , Texture and Shape Biased Two-Stream Networks for Clothing Classification and Attribute Recognition\n",
"Xiyang Luo , Distortion Agnostic Deep Watermarking\n",
"Bing Han , RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network\n",
"Yang Liu , BFBox: Searching Face-Appropriate Backbone and Feature Pyramid Network for Face Detector\n",
"Yuqi Yang , PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames\n",
"Jathushan Rajasegaran , iTAML: An Incremental Task-Agnostic Meta-learning Approach\n",
"Amit Dekel , Optimal least-squares solution to the hand-eye calibration problem\n",
"Bo Chen , MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices\n",
"Oytun Ulutan , VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions\n",
"Long Sha , End-to-End Camera Calibration for Broadcast Videos\n",
"Yang Zhong , Regularizing CNN Transfer Learning With Randomised Regression\n",
"Yang You , KeypointNet: A Large-Scale 3D Keypoint Dataset Aggregated From Numerous Human Annotations\n",
"Kaiwei Zeng , Hierarchical Clustering With Hard-Batch Triplet Loss for Person Re-Identification\n",
"Mingmin Zhen , Joint Semantic Segmentation and Boundary Detection Using Iterative Pyramid Contexts\n",
"Yu Qiao , Attention-Guided Hierarchical Structure Aggregation for Image Matting\n",
"Rongchang Xie , MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation\n",
"Avisek Lahiri , Prior Guided GAN Based Semantic Inpainting\n",
"Xun Xu , Weakly Supervised Semantic Point Cloud Segmentation: Towards 10× Fewer Labels\n",
"James Tu , Physically Realizable Adversarial Examples for LiDAR Object Detection\n",
"Hongxin Wei , Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization\n",
"Shaokai Ye , Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation\n",
"Canjie Luo , Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition\n",
"Nian Liu , Learning Selective Self-Mutual Attention for RGB-D Saliency Detection\n",
"Yangtao Zheng , Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation\n",
"Gabriela Csurka , Estimating Low-Rank Region Likelihood Maps\n",
"Egor Burkov , Neural Head Reenactment with Latent Pose Descriptors\n",
"K R Prajwal , Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis\n",
"Michael Tschannen , Self-Supervised Learning of Video-Induced Visual Invariances\n",
"Jan Svoboda , Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer\n",
"Florian Bernard , MINA: Convex Mixed-Integer Programming for Non-Rigid Shape Alignment\n",
"Xiang Li , Improving One-Shot NAS by Suppressing the Posterior Fading\n",
"Juan-Manuel Pérez-Rúa , Incremental Few-Shot Object Detection\n",
"Qi Chang , Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data\n",
"Yingwei Pan , Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation\n",
"Sukmin Yun , Regularizing Class-Wise Predictions via Self-Knowledge Distillation\n",
"Li Mi , Hierarchical Graph Attention Network for Visual Relationship Detection\n",
"Jaehyung Kim , M2m: Imbalanced Classification via Major-to-Minor Translation\n",
"Youngwan Lee , CenterMask: Real-Time Anchor-Free Instance Segmentation\n",
"Martin Sundermeyer , Multi-Path Learning for Object Pose Estimation Across Domains\n",
"Jiangpeng He , Incremental Learning in Online Scenario\n",
"Mengxue Li , Enhanced Transport Distance for Unsupervised Domain Adaptation\n",
"Francesca Babiloni , TESA: Tensor Element Self-Attention via Matricization\n",
"Donghang Li , Training a Steerable CNN for Guidewire Detection\n",
"Fengting Yang , Superpixel Segmentation With Fully Convolutional Networks\n",
"Koutilya PNVR , SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation\n",
"Shikai Chen , Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition\n",
"Ev Zisselman , Deep Residual Flow for Out of Distribution Detection\n",
"Shurui Gui , FeatureFlow: Robust Video Interpolation via Structure-to-Texture Generation\n",
"Arif Ahmed Sekh , Learning Nanoscale Motion Patterns of Vesicles in Living Cells\n",
"Yifei Huang , Improving Action Segmentation via Graph-Based Temporal Reasoning\n",
"Yunlong Yu , Episode-Based Prototype Generating Network for Zero-Shot Learning\n",
"Xinting Hu , Learning to Segment the Tail\n",
"Jonah Philion , Learning to Evaluate Perception Models Using Planner-Centric Metrics\n",
"Yan Luo , Where, What, Whether: Multi-Modal Learning Meets Pedestrian Detection\n",
"Tung Phan-Minh , CoverNet: Multimodal Behavior Prediction Using Trajectory Sets\n",
"Yukun Huang , Real-World Person Re-Identification via Degradation Invariance Learning\n",
"Zhezhi He , Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack\n",
"Stanislav Pidhorskyi , Adversarial Latent Autoencoders\n",
"Qiuyu Chen , Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment\n",
"Xinyue Wang , Deep Generative Model for Robust Imbalance Classification\n",
"Wanqing Zhao , Learning Deep Network for Detecting 3D Object Keypoints and 6D Poses\n",
"Hancheng Zhu , MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment\n",
"Leo Sampaio Ferraz Ribeiro , Sketchformer: Transformer-Based Representation for Sketched Structure\n",
"Sunghun Joung , Cylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation\n",
"Qi Cai , Learning a Unified Sample Weighting Network for Object Detection\n",
"Muhammad Zaigham Zaheer , Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm\n",
"Quentin Bammey , An Adaptive Neural Network for Unsupervised Mosaic Consistency Analysis in Image Forensics\n",
"Trevor W. Richardson , McFlow: Monte Carlo Flow Models for Data Imputation\n",
"Yu-Lun Liu , Learning to See Through Obstructions\n",
"Chao Fan , GaitPart: Temporal Part-Based Model for Gait Recognition\n",
"Trisha Mittal , EmotiCon: Context-Aware Multimodal Emotion Recognition Using Frege’s Principle\n",
"Vincent Jacquot , Can Deep Learning Recognize Subtle Human Activities?\n",
"Zelun Kong , PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving\n",
"Mirazul Haque , ILFO: Adversarial Attack on Adaptive Neural Networks\n",
"Osman Semih Kayhan , On Translation Invariance in CNNs: Convolutional Layers Can Exploit Absolute Spatial Location\n",
"Steven Liu , Diverse Image Generation via Self-Conditioned GANs\n",
"Xianglei Xing , Inducing Hierarchical Compositional Model by Sparsifying Generator Network\n",
"Rongjie Liu , CARP: Compression Through Adaptive Recursive Partitioning for Multi-Dimensional Images\n",
"Anuroop Sriram , GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction\n",
"Gabriel Bender , Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS\n",
"Xikun Zhang , Context Aware Graph Convolution for Skeleton-Based Action Recognition\n",
"Thiago M. Paixão , Fast(er) Reconstruction of Shredded Text Documents via Self-Supervised Deep Asymmetric Metric Learning\n",
"Luming Tang , Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition\n",
"Mete Kemertas , RankMI: A Mutual Information Maximizing Ranking Loss\n",
"Hyunjong Park , Learning Memory-Guided Normality for Anomaly Detection\n",
"Charles-Olivier Dufresne Camaro , Appearance Shock Grammar for Fast Medial Axis Extraction From Real Images\n",
"Minjie Cai , Generalizing Hand Segmentation in Egocentric Videos With Uncertainty-Guided Model Adaptation\n",
"Jaime Spencer , DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning\n",
"Anton Mitrokhin , Learning Visual Motion Segmentation Using Event Surfaces\n",
"Abduallah Mohamed , Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction\n",
"Bo Xu , Discriminative Multi-Modality Speech Recognition\n",
"Shihao Zhao , Clean-Label Backdoor Attacks on Video Recognition Models\n",
"Gilad Cohen , Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors\n",
"Matthias De Lange , Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem\n",
"Innfarn Yoo , GIFnets: Differentiable GIF Encoding Framework\n",
"Wenchao Du , Learning Invariant Representation for Unsupervised Image Restoration\n",
"Peyman Bateni , Improved Few-Shot Visual Classification\n",
"Nina Miolane , Learning Weighted Submanifolds With Variational Autoencoders and Riemannian Variational Autoencoders\n",
"Gordon Christie , Learning Geocentric Object Pose in Oblique Monocular Images\n",
"Chaoning Zhang , Understanding Adversarial Examples From the Mutual Influence of Images and Perturbations\n",
"Giannis Daras , Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models\n",
"Kentaro Wada , MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion\n",
"Geunseob Oh , HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting\n",
"Sen Deng , Detail-recovery Image Deraining via Context Aggregation Networks\n",
"Han Fu , MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model\n",
"Eun-Sol Kim , Hypergraph Attention Networks for Multimodal Learning\n",
"Deen Dayal Mohan , Moving in the Right Direction: A Regularization for Deep Metric Learning\n",
"Daniel Haase , Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets\n",
"Lourenço V. Pato , Seeing without Looking: Contextual Rescoring of Object Detections for AP Maximization\n",
"Runwu Zhou , End-to-End Adversarial-Attention Network for Multi-Modal Clustering\n",
"Erich Elsen , Fast Sparse ConvNets\n",
"Tianhong Li , Few Sample Knowledge Distillation for Efficient Network Compression\n",
"Michaël Ramamonjisoa , Predicting Sharp and Accurate Occlusion Boundaries in Monocular Depth Estimation Using Displacement Fields\n",
"Qinsong Li , Shape correspondence using anisotropic Chebyshev spectral CNNs\n",
"Zhichao Lu , RetinaTrack: Online Single Stage Joint Detection and Tracking\n",
"Mahdi Abavisani , Multimodal Categorization of Crisis Events in Social Media\n",
"Wenyu Han , SPARE3D: A Dataset for SPAtial REasoning on Three-View Line Drawings\n",
"Qiangpeng Yang , SwapText: Image Based Texts Transfer in Scenes\n",
"Mohamed Yousef , OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold\n",
"Martin Rünz , FroDO: From Detections to 3D Objects\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "q8pGPRRdzeq6",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"outputId": "01218592-5895-4d72-c2de-44b95216b947"
},
"source": [
"!ls"
],
"execution_count": 9,
"outputs": [
{
"output_type": "stream",
"text": [
"cvpr2020.csv sample_data\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "Xs4YYYDRnWM6",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"outputId": "0c94c991-edf0-4e4b-825a-9491da5f28a9"
},
"source": [
"!cat cvpr2020.csv"
],
"execution_count": 10,
"outputs": [
{
"output_type": "stream",
"text": [
"Shangzhe Wu,Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild\r\n",
"Jamie Watson,Footprints and Free Space From a Single Color Image\r\n",
"Simron Thapa,Dynamic Fluid Surface Reconstruction Using Deep Neural Network\r\n",
"Boyang Deng,CvxNet: Learnable Convex Decomposition\r\n",
"Zhiqin Chen,BSP-Net: Generating Compact Meshes via Binary Space Partitioning\r\n",
"Yinyu Nie,\"Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes From a Single Image\"\r\n",
"Zhihao Xia,Generating and Exploiting Probabilistic Monocular Depth Estimates\r\n",
"Wang Yifan,Neural Cages for Detail-Preserving 3D Deformations\r\n",
"Shunsuke Saito,PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization\r\n",
"Kathryn Heal,A Lighting-Invariant Point Processor for Shading\r\n",
"Sena Kiciroglu,ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture\r\n",
"Ziyu Jiang,Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations\r\n",
"Jonathan Munro,Multi-Modal Domain Adaptation for Fine-Grained Action Recognition\r\n",
"AJ Piergiovanni,Evolving Losses for Unsupervised Video Representation Learning\r\n",
"Ziyu Liu,Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition\r\n",
"Chao-Yuan Wu,A Multigrid Method for Efficiently Training Video Models\r\n",
"Tushar Nagarajan,Ego-Topo: Environment Affordances From Egocentric Video\r\n",
"Jiaqi Guan,Generative Hybrid Representations for Activity Forecasting With No-Regret Learning\r\n",
"Ke Cheng,Skeleton-Based Action Recognition With Shift Graph Convolutional Network\r\n",
"Zhibo Yang,Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning\r\n",
"Christoph Feichtenhofer,X3D: Expanding Architectures for Efficient Video Recognition\r\n",
"Maosen Li,Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction\r\n",
"Kiana Ehsani,\"Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects\"\r\n",
"Mingyi Zhou,DaST: Data-Free Substitute Training for Adversarial Attacks\r\n",
"Jeet Mohapatra,Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations\r\n",
"Yuheng Zhang,The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks\r\n",
"Muzammal Naseer,A Self-supervised Approach for Adversarial Robustness\r\n",
"Saehyung Lee,Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization\r\n",
"Xuanqing Liu,How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework\r\n",
"Shunta Maeda,Unpaired Image Super-Resolution Using Pseudo-Supervision\r\n",
"Soheil Kolouri,Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs\r\n",
"Min Wu,Robustness Guarantees for Deep Neural Networks on Videos\r\n",
"Yinpeng Dong,Benchmarking Adversarial Robustness on Image Classification\r\n",
"Alvin Chan,What It Thinks Is Important Is Important: Robustness Transfers Through Input Gradients\r\n",
"Hongjun Wang,\"Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking\"\r\n",
"Heng Wang,Video Modeling With Correlation Networks\r\n",
"Jie Li,Projection & Probability-Driven Black-Box Attack\r\n",
"Linfeng Zhang,Auxiliary Training: Towards Accurate and Robust Models\r\n",
"Yong-Lu Li,PaStaNet: Toward Human Activity Knowledge Engine\r\n",
"Jintai Chen,A Hierarchical Graph Network for 3D Object Detection on Point Clouds\r\n",
"Matheus Gadelha,Learning Generative Models of Shape Handles\r\n",
"Chang Xiao,One Man’s Trash Is Another Man’s Treasure: Resisting Adversarial Examples by Adversarial Examples\r\n",
"Dor Verbin,Toward a Universal Model for Shape From Texture\r\n",
"Chen Song,HybridPose: 6D Object Pose Estimation Under Hybrid Representations\r\n",
"Jisan Mahmud,Boundary-Aware 3D Building Reconstruction From a Single Overhead Image\r\n",
"Nilesh Kulkarni,Articulation-Aware Canonical Surface Mapping\r\n",
"Fu-En Wang,BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion\r\n",
"Jiayu Wang,Transformation GAN for Unsupervised Image Synthesis and Representation Learning\r\n",
"Yue Liao,PPDM: Parallel Point Detection and Matching for Real-Time Human-Object Interaction Detection\r\n",
"Manel Baradad,Height and Uprightness Invariance for 3D Prediction From a Single View\r\n",
"Mohsen Fayyaz,SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation\r\n",
"Yancheng Wang,3DV: 3D Dynamic Voxel for Action Recognition in Depth Video\r\n",
"Haoxin Li,Adaptive Interaction Modeling via Graph Operations Search\r\n",
"Yuan Yao,Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction\r\n",
"Lijun Wang,SDC-Depth: Semantic Divide-and-Conquer Network for Monocular Depth Estimation\r\n",
"Richard Tucker,Single-View View Synthesis With Multiplane Images\r\n",
"Dmitriy Smirnov,Deep Parametric Shape Predictions Using Distance Fields\r\n",
"Yana Hasson,Leveraging Photometric Consistency Over Time for Sparsely Supervised Hand-Object Reconstruction\r\n",
"Jianhe Yuan,Ensemble Generative Cleaning With Feedback Loops for Defending Adversarial Attacks\r\n",
"Ceyuan Yang,Temporal Pyramid Network for Action Recognition\r\n",
"Haotian Yang,FaceScape: A Large-Scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction\r\n",
"Ke Xian,Structure-Guided Ranking Loss for Single Image Depth Prediction\r\n",
"Heng Yang,In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction From 2D Landmarks\r\n",
"Minghao Guo,When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks\r\n",
"Maosen Li,Towards Transferable Targeted Attack\r\n",
"Feitong Tan,Self-Supervised Human Depth Estimation From Monocular Videos\r\n",
"Jianhua Sun,Recursive Social Behavior Graph for Trajectory Prediction\r\n",
"Huaidong Zhang,Context-Aware and Scale-Insensitive Temporal Repetition Counting\r\n",
"Weifeng Chen,OASIS: A Large-Scale Dataset for Single Image 3D in the Wild\r\n",
"Rui Wang,VPLNet: Deep Single View Normal Estimation With Vanishing Points and Lines\r\n",
"Tianlong Chen,Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning\r\n",
"Tejas Borkar,Defending Against Universal Attacks Through Selective Feature Regeneration\r\n",
"Lifeng Huang,Universal Physical Camouflage Attacks on Object Detectors\r\n",
"Dian Shao,Intra- and Inter-Action Understanding via Temporal Action Parsing\r\n",
"Xueying Wang,Lightweight Photometric Stereo for Facial Details Recovery\r\n",
"Huayi Zeng,Bundle Pooling for Polygonal Architecture Segmentation Problem\r\n",
"Alexandros Lattas,AvatarMe: Realistically Renderable 3D Facial Reconstruction “In-the-Wild”\r\n",
"Sanjay Kariyappa,Defending Against Model Stealing Attacks With Adaptive Misinformation\r\n",
"Dawei Yang,Learning to Generate 3D Training Data Through Hybrid Gradient\r\n",
"Xiaogang Wang,Cascaded Refinement Network for Point Cloud Completion\r\n",
"Guanlin Li,Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder\r\n",
"Hyunjun Eun,Learning to Discriminate Information for Online Action Detection\r\n",
"Cihang Xie,Adversarial Examples Improve Image Recognition\r\n",
"Rundi Wu,PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes\r\n",
"Kirill Gavrilyuk,Actor-Transformers for Group Activity Recognition\r\n",
"Angela Dai,SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans\r\n",
"Xiaohu Lu,Geometry-Aware Satellite-to-Ground Image Synthesis for Urban Areas\r\n",
"Hazel Doughty,Action Modifiers: Learning From Adverbs in Instructional Videos\r\n",
"Lingling Zhang,ZSTAD: Zero-Shot Temporal Activity Detection\r\n",
"Lei Jin,Geometric Structure Based and Regularized Depth Estimation From 360 Indoor Imagery\r\n",
"Jingwei Xu,Deep Kinematics Analysis for Monocular 3D Human Pose Estimation\r\n",
"Yan Li,TEA: Temporal Excitation and Aggregation for Action Recognition\r\n",
"Dave Epstein,Oops! Predicting Unintentional Action in Video\r\n",
"Hamid Izadinia,Scene Recomposition by Learning-Based ICP\r\n",
"Yantao Lu,Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction\r\n",
"Vivek B.S.,Single-Step Adversarial Training With Dropout Scheduling\r\n",
"Javier Grau Chopite,Deep Non-Line-of-Sight Reconstruction\r\n",
"Zhenxing Mi,SSRNet: Scalable 3D Surface Reconstruction Network\r\n",
"Guyue Hu,Progressive Relation Learning for Group Activity Recognition\r\n",
"Bin Yan,Cooling-Shrinking Attack: Blinding the Tracker With Imperceptible Noises\r\n",
"Ranjie Duan,Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles\r\n",
"Baifeng Shi,Weakly-Supervised Action Localization by Generative Attention Modeling\r\n",
"Sravanti Addepalli,Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes\r\n",
"Yucheng Shi,Polishing Decision-Based Adversarial Noise With a Customized Sampling\r\n",
"Zhengyu Zhao,Towards Large Yet Imperceptible Adversarial Image Perturbations With Perceptual Color Distance\r\n",
"Joanna Materzynska,Something-Else: Compositional Action Recognition With Spatial-Temporal Interaction Networks\r\n",
"Despoina Paschalidou,Learning Unsupervised Hierarchical Part Decomposition of 3D Objects From a Single RGB Image\r\n",
"Maxim Maximov,Focus on Defocus: Bridging the Synthetic to Real Domain Gap for Depth Estimation\r\n",
"Boyu Wang,Active Vision for Early Recognition of Human Actions\r\n",
"Xianhang Li,SmallBigNet: Integrating Core and Contextual Views for Video Classification\r\n",
"Swathikiran Sudhakaran,Gate-Shift Networks for Video Action Recognition\r\n",
"Pengfei Zhang,Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition\r\n",
"Ali Dabouei,Exploiting Joint Robustness to Adversarial Perturbations\r\n",
"K L Navaneet,From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks\r\n",
"Teng Long,Searching for Actions on the Hyperbole\r\n",
"Ali Shahin Shamsabadi,ColorFool: Semantic Adversarial Colorization\r\n",
"Weibin Wu,Boosting the Transferability of Adversarial Samples via Attention\r\n",
"Mihir Jain,ActionBytes: Learning From Trimmed Videos to Localize Actions\r\n",
"Haizhong Zheng,Efficient Adversarial Training With Transferable Adversarial Examples\r\n",
"Song Tao,Alleviation of Gradient Exploding in GANs: Fake Can Be Real\r\n",
"Yue Zhao,On Isometry Robustness of Deep 3D Point Cloud Models Under Adversarial Attacks\r\n",
"Sven Gowal,Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations\r\n",
"Huichen Li,QEBA: Query-Efficient Boundary-Based Blackbox Attack\r\n",
"Seung Wook Kim,Learning to Simulate Dynamic Environments With GameGAN\r\n",
"Ahmadreza Jeddi,Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness\r\n",
"Yue Jiang,SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization\r\n",
"Zhengqin Li,Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes\r\n",
"Joo Ho Lee,TextureFusion: High-Quality Texture Acquisition for Real-Time RGB-D Scanning\r\n",
"Nan Yang,\"D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry\"\r\n",
"Danhang Tang,Deep Implicit Volume Compression\r\n",
"Dániel Baráth,\"MAGSAC++, a Fast, Reliable and Accurate Robust Estimator\"\r\n",
"Lila Huang,OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression\r\n",
"Yuxiang Zhang,4D Association Graph for Realtime Multi-Person Motion Capture Using Multiple Video Cameras\r\n",
"Gengshan Yang,Upgrading Optical Flow to 3D Scene Flow Through Optical Expansion\r\n",
"Zhe Li,Robust 3D Self-Portraits in Seconds\r\n",
"Matias Tassano,FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation\r\n",
"Givi Meishvili,Learning to Have an Ear for Face Super-Resolution\r\n",
"Christopher A. Metzler,Deep Optics for Single-Shot High-Dynamic-Range Imaging\r\n",
"Qilin Sun,Learning Rank-1 Diffractive Optics for Single-Shot High Dynamic Range Imaging\r\n",
"Mahmoud Afifi,Deep White-Balance Editing\r\n",
"Sean I. Young,Non-Line-of-Sight Surface Reconstruction Using the Directional Light-Cone Transform\r\n",
"Jeong Joon Park,Seeing the World in a Bag of Chips\r\n",
"Shady Abu Hussein,Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers\r\n",
"Lin Zhu,Retina-Like Visual Image Reconstruction via Spiking Neural Model\r\n",
"Xin Yuan,Plug-and-Play Algorithms for Large-Scale Snapshot Compressive Imaging\r\n",
"Jian-Hao Luo,Neural Network Pruning With Residual-Connections and Limited-Data\r\n",
"Hanting Chen,AdderNet: Do We Really Need Multiplications in Deep Learning?\r\n",
"Eugene Lee,NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks\r\n",
"Bohan Zhuang,Training Quantized Neural Networks With a Full-Precision Auxiliary Module\r\n",
"Dongdong Wang,Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation From a Blackbox Model\r\n",
"Jinyang Guo,Multi-Dimensional Pruning: A Unified Framework for Model Compression\r\n",
"Ting-Wu Chin,Towards Efficient Model Compression via Learned Global Ranking\r\n",
"Mingbao Lin,HRank: Filter Pruning Using High-Rank Feature Map\r\n",
"Shaopeng Guo,DMCP: Differentiable Markov Channel Pruning for Neural Networks\r\n",
"Negar Goli,ReSprop: Reuse Sparsified Backpropagation\r\n",
"Jingwei Huang,Adversarial Texture Optimization From RGB-D Scans\r\n",
"Tolga Birdal,Synchronizing Probability Measures on Rotations via Optimal Transport\r\n",
"Kai Han,GhostNet: More Features From Cheap Operations\r\n",
"Keyang Luo,Attention-Aware Multi-View Stereo\r\n",
"Abhishek Badki,Bi3D: Stereo Depth Estimation via Binary Classifications\r\n",
"Zihao W. Wang,Joint Filtering of Intensity Images and Neuromorphic Events for High-Resolution Noise-Robust Imaging\r\n",
"Guohao Li,SGAS: Sequential Greedy Architecture Search\r\n",
"Maosheng Ye,HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection\r\n",
"Hanting Chen,Frequency Domain Compact 3D Convolutional Neural Networks\r\n",
"Yu-Lun Liu,Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline\r\n",
"Lizhi Wang,DNU: Deep Non-Local Unrolling for Computational Spectral Imaging\r\n",
"Liyuan Pan,Single Image Optical Flow Estimation With an Event Camera\r\n",
"Minye Wu,Multi-View Neural Human Rendering\r\n",
"Kai Zhang,Depth Sensing Beyond LiDAR Range\r\n",
"R. Wes Baldwin,Event Probability Mask (EPM) and Event Denoising Convolutional Neural Network (EDnCNN) for Neuromorphic Cameras\r\n",
"Weijing Shi,Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud\r\n",
"Wenhan Yang,Self-Learning Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence\r\n",
"Jin Han,Neuromorphic Camera Guided High Dynamic Range Imaging\r\n",
"Kai Xu,Learning in the Frequency Domain\r\n",
"Chenyang Lei,Polarized Reflection Removal With Perfect Alignment in the Wild\r\n",
"Zan Gojcic,Learning Multiview 3D Point Cloud Registration\r\n",
"Snehal Bhayani,A Sparse Resultant Based Method for Efficient Minimal Solvers\r\n",
"Chunle Guo,Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement\r\n",
"Yao Yao,BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks\r\n",
"Zhi-Hao Lin,Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis\r\n",
"Yehui Tang,A Semi-Supervised Assessor of Neural Architectures\r\n",
"Zhouxia Wang,Learning a Reinforced Agent for Flexible Exposure Bracketing Selection\r\n",
"Zhaohui Yang,CARS: Continuous Evolution for Efficient Neural Architecture Search\r\n",
"Dingfu Zhou,Joint 3D Instance Segmentation and Object Detection for Autonomous Driving\r\n",
"Xin Wei,View-GCN: View-Based Graph Convolutional Network for 3D Shape Analysis\r\n",
"Huan Wang,Collaborative Distillation for Ultra-Resolution Universal Style Transfer\r\n",
"Guangming Zang,TomoFluid: Reconstructing Dynamic Fluid From Sparse View Videos\r\n",
"Tianyu Wang,Instance Shadow Detection\r\n",
"Yuhui Quan,Self2Self With Dropout: Learning Self-Supervised Denoising From Single Image\r\n",
"Shangqian Gao,Discrete Model Compression With Resource Constraint for Deep Neural Networks\r\n",
"Se Jung Kwon,Structured Compression by Weight Encryption for Unstructured Pruning and Quantization\r\n",
"Lei Li,End-to-End Learning Local Multi-View Descriptors for 3D Point Clouds\r\n",
"Banglei Guan,Minimal Solutions for Relative Pose With a Single Affine Correspondence\r\n",
"Xin Wen,Point Cloud Completion by Skip-Attention Network With Hierarchical Folding\r\n",
"Zehao Yu,Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement\r\n",
"Haofei Xu,AANet: Adaptive Aggregation Network for Efficient Stereo Matching\r\n",
"Feng Zhu,Towards Unified INT8 Training for Convolutional Neural Network\r\n",
"Fumihiko Sakaue,Active 3D Motion Visualization Based on Spatiotemporal Light-Ray Integration\r\n",
"Changlin Li,Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation\r\n",
"Shan You,GreedyNAS: Towards Fast One-Shot NAS With Greedy Supernet\r\n",
"Yang He,Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration\r\n",
"Shaohui Liu,DIST: Rendering Deep Implicit Signed Distance Function With Differentiable Sphere Tracing\r\n",
"Yicun Liu,Visually Imbalanced Stereo Matching\r\n",
"Yuesong Wang,Mesh-Guided Multi-View Stereo With Pyramid Architecture\r\n",
"Ziwei Wang,BiDet: An Efficient Binarized Object Detector\r\n",
"Shaifali Parashar,Local Non-Rigid Structure-From-Motion From Diffeomorphic Mappings\r\n",
"Nicolas Scheiner,Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar\r\n",
"Tianzhe Wang,\"APQ: Joint Search for Network Architecture, Pruning and Quantization Policy\"\r\n",
"An Xu,On the Acceleration of Deep Learning Model Parallelism With Staleness\r\n",
"Ji Hou,RevealNet: Seeing Behind Objects in RGB-D Scans\r\n",
"Peiye Liu,MemNAS: Memory-Efficient Neural Architecture Search With Grow-Trim Learning\r\n",
"Matthew Tancik,StegaStamp: Invisible Hyperlinks in Physical Photographs\r\n",
"Yuning You,L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks\r\n",
"Kenichiro Tanaka,Polarized Non-Line-of-Sight Imaging\r\n",
"Qing Jin,AdaBits: Neural Network Quantization With Adaptive Bit-Widths\r\n",
"Hang Dong,Multi-Scale Boosted Dehazing Network With Dense Feature Fusion\r\n",
"Jiahui Huang,ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings\r\n",
"Haichuan Yang,Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach\r\n",
"Uday Kusupati,Normal Assisted Stereo Depth Estimation\r\n",
"Zhe Zhang,Fusing Wearable IMUs With Multi-View Images for Human Pose Estimation: A Geometric Approach\r\n",
"Victor Fragoso,gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors\r\n",
"Mihir Prabhudesai,Embodied Language Grounding With 3D Visual Feature Representations\r\n",
"Charles Herrmann,Learning to Autofocus\r\n",
"Lin Liu,Joint Demosaicing and Denoising With Self Guidance\r\n",
"Haotong Qin,Forward and Backward Information Retention for Accurate Binary Neural Networks\r\n",
"Jing Jin,Light Field Spatial Super-Resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization\r\n",
"Daniel Hernandez-Juarez,A Multi-Hypothesis Approach to Color Constancy\r\n",
"Ke Xu,Learning to Restore Low-Light Images via Decomposition-and-Enhancement\r\n",
"Soumyadip Sengupta,Background Matting: The World Is Your Green Screen\r\n",
"Huanjing Yue,Supervised Raw Video Denoising With a Benchmark Dataset on Dynamic Scenes\r\n",
"Kenji Enomoto,Photometric Stereo via Discrete Hypothesis-and-Test Search\r\n",
"Thomas Verelst,Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference\r\n",
"Xishan Zhang,Fixed-Point Back-Propagation Training\r\n",
"Nikolaos Passalis,Heterogeneous Knowledge Distillation Using Information Flow Modeling\r\n",
"Zhaowei Cai,Rethinking Differentiable Search for Mixed-Precision Neural Networks\r\n",
"Jie Liu,Residual Feature Aggregation Network for Image Super-Resolution\r\n",
"Le Yang,Resolution Adaptive Networks for Efficient Inference\r\n",
"Sungyong Baik,Learning to Forget for Meta-Learning\r\n",
"Yuesong Nan,Deep Learning for Handling Kernel/model Uncertainty in Image Deconvolution\r\n",
"Renjie Wan,Reflection Scene Separation From a Single Image\r\n",
"Chenchi Luo,Wavelet Synthesis Net for Disparity Estimation to Synthesize DSLR Calibre Bokeh Effect on Smartphones\r\n",
"Joseph Ortiz,Bundle Adjustment on a Graph Processor\r\n",
"Malte Pedersen,3D-ZeF: A 3D Zebrafish Tracking Benchmark Dataset\r\n",
"Sachit Menon,PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models\r\n",
"Pei Sun,Scalability in Perception for Autonomous Driving: Waymo Open Dataset\r\n",
"Zhenpei Yang,Extreme Relative Pose Network Under Hybrid Representations\r\n",
"Andreas Meuleman,Single-Shot Monocular RGB-D Imaging Using Uneven Double Refraction\r\n",
"Zhengqin Li,\"Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF From a Single Image\"\r\n",
"Vitor Guizilini,3D Packing for Self-Supervised Monocular Depth Estimation\r\n",
"Xiaodong Gu,Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching\r\n",
"Cenek Albl,From Two Rolling Shutters to One Global Shutter\r\n",
"Christopher Choy,Deep Global Registration\r\n",
"Shuo Cheng,Deep Stereo Using Adaptive Thin Volume Representation With Uncertainty Awareness\r\n",
"Thomas Schöps,\"Why Having 10,000 Parameters in Your Camera Model Is Better Than Twelve\"\r\n",
"Mathieu Labussière,Blur Aware Calibration of Multi-Focus Plenoptic Camera\r\n",
"Jinglei Shi,Learning Fused Pixel and Feature-Based View Reconstructions for Light Fields\r\n",
"Matan Atzmon,SAL: Sign Agnostic Learning of Shapes From Raw Data\r\n",
"Tobias Weyand,Google Landmarks Dataset v2 – A Large-Scale Benchmark for Instance-Level Recognition and Retrieval\r\n",
"Wenkai Dong,Instance Guided Proposal Network for Person Search\r\n",
"Yining Lang,Which Is Plagiarism: Fashion Image Retrieval Based on Regional Representation for Design Protection\r\n",
"Zhiyi Cheng,Inter-Task Association Critic for Cross-Resolution Person Re-Identification\r\n",
"Dian Shao,FineGym: A Hierarchical Video Dataset for Fine-Grained Action Understanding\r\n",
"Frederik Warburg,Mapillary Street-Level Sequences: A Dataset for Lifelong Place Recognition\r\n",
"Fisher Yu,BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning\r\n",
"Yun Liu,Rethinking Computer-Aided Tuberculosis Diagnosis\r\n",
"Xi Yang,IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning\r\n",
"Sen Jia,Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve\r\n",
"Ciprian A. Corneanu,Computing the Testing Error Without a Testing Set\r\n",
"Zhizhong Li,Improving Confidence Estimates for Unfamiliar Examples\r\n",
"Syed Waqas Zamir,CycleISP: Real Image Restoration via Improved Data Synthesis\r\n",
"Xiaoming Li,Enhanced Blind Face Restoration With Multi-Exemplar Images and Adaptive Spatial Feature Fusion\r\n",
"Yuval Bahat,Explorable Super Resolution\r\n",
"Rajeev Yasarla,Syn2Real Transfer Learning for Image Deraining Using Gaussian Processes\r\n",
"Kaihao Zhang,Deblurring by Realistic Blurring\r\n",
"Ziyu Wan,Bringing Old Photos Back to Life\r\n",
"Kaixuan Wei,A Physics-Based Noise Formation Model for Extreme Low-Light Raw Denoising\r\n",
"S. Mohammad Mostafavi I.,Learning to Super Resolve Intensity Images From Events\r\n",
"Deng-Ping Fan,Camouflaged Object Detection\r\n",
"Nan Xue,Holistically-Attracted Wireframe Parsing\r\n",
"Fuyang Zhang,Conv-MPN: Convolutional Message Passing Neural Network for Structured Outdoor Architecture Reconstruction\r\n",
"Yuanjie Shao,Domain Adaptation for Image Dehazing\r\n",
"Yuming Shen,Auto-Encoding Twin-Bottleneck Hashing\r\n",
"Mang Tik Chiu,Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis\r\n",
"Wenkai Dong,Bi-Directional Interaction Network for Person Search\r\n",
"Abhishek Badki,Meshlet Priors for 3D Mesh Reconstruction\r\n",
"Muhammad Haris,Space-Time-Aware Multi-Resolution Video Enhancement\r\n",
"Xiang Li,FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation\r\n",
"John Lambert,MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation\r\n",
"Liming Jiang,DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection\r\n",
"Yichao Yan,Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification\r\n",
"Jiahuan Zhou,Online Joint Multi-Metric Adaptation From Frequent Sharing-Subset Mining for Person Re-Identification\r\n",
"Deng-Ping Fan,Taking a Deeper Look at Co-Salient Object Detection\r\n",
"Yinlin Hu,Single-Stage 6D Object Pose Estimation\r\n",
"Lei Han,OccuSeg: Occupancy-Aware 3D Instance Segmentation\r\n",
"Chang Chen,Camera Trace Erasing\r\n",
"Wenzhao Zheng,Deep Metric Learning via Adaptive Learnable Assessment\r\n",
"Jialun Liu,Deep Representation Learning on Long-Tailed Data: A Learnable Embedding Augmentation Perspective\r\n",
"Ming Jiang,Fantastic Answers and Where to Find Them: Immersive Question-Directed Visual Attention\r\n",
"Zhixuan Yu,HUMBI: A Large Multiview Dataset of Human Body Expressions\r\n",
"Yanbei Chen,Image Search With Text Feedback by Visiolinguistic Attention Learning\r\n",
"Jinjin Gu,Image Processing Using Multi-Code GAN Prior\r\n",
"Qian Zheng,What Does Plate Glass Reveal About Camera Calibration?\r\n",
"Fudong Wang,Zero-Assignment Constraint for Graph Matching With Outliers\r\n",
"Jinshan Pan,Cascaded Deep Video Deblurring Using Temporal Sharpness Prior\r\n",
"Keren Fu,JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection\r\n",
"Wenhan Yang,From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement\r\n",
"Lei Zhang,Unsupervised Adaptation Learning for Hyperspectral Imagery Super-Resolution\r\n",
"Li Yuan,Central Similarity Quantization for Efficient Image and Video Retrieval\r\n",
"Zeng Huang,ARCH: Animatable Reconstruction of Clothed Humans\r\n",
"Hong Wang,A Model-Driven Deep Neural Network for Single Image Rain Removal\r\n",
"Mohamed El Banani,Novel Object Viewpoint Estimation Through Reconstruction Alignment\r\n",
"Hengtong Hu,Creating Something From Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing\r\n",
"Junsuk Choe,Evaluating Weakly Supervised Object Localization Methods Right\r\n",
"Xin Jin,Style Normalization and Restitution for Generalizable Person Re-Identification\r\n",
"Ming Cai,\"Reconstruct Locally, Localize Globally: A Model Free Method for Object Pose Estimation\"\r\n",
"Matt Deitke,RoboTHOR: An Open Simulation-to-Real Embodied AI Platform\r\n",
"Ruoteng Li,All in One Bad Weather Removal Using Architectural Search\r\n",
"Zhizheng Zhang,Relation-Aware Global Attention for Person Re-Identification\r\n",
"Shreyas Hampali,HOnnotate: A Method for 3D Annotation of Hand and Object Poses\r\n",
"Yuezun Li,Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics\r\n",
"Kai Zhang,Deep Unfolding Network for Image Super-Resolution\r\n",
"Matteo Poggi,On the Uncertainty of Self-Supervised Monocular Depth Estimation\r\n",
"Sungyeon Kim,Proxy Anchor Loss for Deep Metric Learning\r\n",
"Yunfei Liu,Unsupervised Learning for Intrinsic Image Decomposition From a Single Image\r\n",
"Jin Xiao,Multi-Domain Learning for Accurate and Few-Shot Color Constancy\r\n",
"Xueyang Wang,PANDA: A Gigapixel-Level Human-Centric Video Dataset\r\n",
"Long Chen,Cross-View Tracking for Multi-Human 3D Pose Estimation at Over 100 FPS\r\n",
"Jinrui Yang,Spatial-Temporal Graph Convolutional Network for Video-Based Person Re-Identification\r\n",
"Xuesong Chen,Salience-Guided Cascaded Suppression Network for Person Re-Identification\r\n",
"Yen-Liang Lin,Fashion Outfit Complementary Item Retrieval\r\n",
"Zhe Jiang,Learning Event-Based Motion Deblurring\r\n",
"Yunhan Zhao,Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation\r\n",
"Dongwei Ren,Neural Blind Deconvolution Using Deep Priors\r\n",
"Jie Li,Anisotropic Convolutional Networks for 3D Semantic Scene Completion\r\n",
"Yapeng Tian,TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution\r\n",
"Xiaoyu Xiang,Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution\r\n",
"Hailiang Xu,Fast MSER\r\n",
"Yutian Lin,Unsupervised Person Re-Identification via Softened Similarity Learning\r\n",
"Shijie Yu,COCAS: A Large-Scale Clothes Changing Person Dataset for Re-Identification\r\n",
"Ruilong Li,Learning Formation of Physically-Based Face Attributes\r\n",
"Young Kyun Jang,Generalized Product Quantization Network for Semi-Supervised Image Retrieval\r\n",
"Xu Cao,Stereoscopic Flash and No-Flash Photography for Shape and Albedo Recovery\r\n",
"Zhuowan Li,Context-Aware Group Captioning via Self-Attention and Contrastive Features\r\n",
"Chenyan Wu,MEBOW: Monocular Estimation of Body Orientation in the Wild\r\n",
"Ming Hong,Distilling Image Dehazing With Heterogeneous Task Imitation\r\n",
"Miao Zhang,\"Select, Supplement and Focus for RGB-D Saliency Detection\"\r\n",
"Yoonsik Kim,Transfer Learning From Synthetic to Real-Noise Denoising With Adaptive Instance Normalization\r\n",
"Carolin Schmitt,\"On Joint Estimation of Pose, Geometry and svBRDF From a Handheld Scanner\"\r\n",
"Michael Niemeyer,Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision\r\n",
"Jae Woong Soh,Meta-Transfer Learning for Zero-Shot Super-Resolution\r\n",
"Dov Bridger,Solving Jigsaw Puzzles With Eroded Boundaries\r\n",
"Qi Zhang,Context-Aware Attention Network for Image-Text Retrieval\r\n",
"Jianping Lin,M-LVC: Multiple Frames Prediction for Learned Video Compression\r\n",
"Yuan Yuan,Efficient Dynamic Scene Deblurring Using Spatially Variant Deconvolution Network With Optical Flow Guided Training\r\n",
"Chao Li,Single Image Reflection Removal Through Cascaded Refinement\r\n",
"Zhenqiang Ying,From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality\r\n",
"Daniel Gehrig,Video to Events: Recycling Video Datasets for Event Cameras\r\n",
"Mehrdad Hosseinzadeh,Composed Query Image Retrieval Using Locally Bounded Features\r\n",
"Maitreya Suin,Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring\r\n",
"Bolei Xu,End-to-End Illuminant Estimation Based on Deep Metric Learning\r\n",
"Yuesong Nan,Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring\r\n",
"Bolun Zheng,Image Demoireing with Learnable Bandpass Filters\r\n",
"Tai-Yin Chiu,Assessing Image Quality Issues for Real-World Problems\r\n",
"Haokui Zhang,Memory-Efficient Hierarchical Neural Architecture Search for Image Denoising\r\n",
"Shaolin Su,Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network\r\n",
"Yuming Fang,Perceptual Quality Assessment of Smartphone Photography\r\n",
"Haiyang Mei,Don’t Hit Me! Glass Detection in Real-World Scenes\r\n",
"Jiaying Lin,Progressive Mirror Detection\r\n",
"Xiaolong Li,Category-Level Articulated Object Pose Estimation\r\n",
"Kaihua Tang,Unbiased Scene Graph Generation From Biased Training\r\n",
"Li Zhang,Dynamic Graph Message Passing Networks\r\n",
"Alireza Zareian,Weakly Supervised Visual Semantic Parsing\r\n",
"Xin Lin,GPS-Net: Graph Property Sensing Network for Scene Graph Generation\r\n",
"Andrew Luo,End-to-End Optimization of Scene Layout\r\n",
"Fei Pan,Unsupervised Intra-Domain Adaptation for Semantic Segmentation Through Self-Supervision\r\n",
"Li Wang,Dual Super-Resolution Learning for Semantic Segmentation\r\n",
"Xiaohang Zhan,Self-Supervised Scene De-Occlusion\r\n",
"Yifeng Chen,BANet: Bidirectional Aggregation Network With Occlusion Handling for Panoptic Segmentation\r\n",
"Han Yang,CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries\r\n",
"Yuhang Liu,Cross-View Correspondence Reasoning Based on Bipartite Graph Convolutional Network for Mammogram Mass Detection\r\n",
"Junya Hayashida,MPM: Joint Representation of Motion and Position Map for Cell Tracking\r\n",
"Yan Wang,Deep Distance Transform for Tubular Structure Segmentation in CT Scans\r\n",
"Victor Kulikov,Instance Segmentation of Biological Images Using Harmonic Embeddings\r\n",
"Noriaki Hashimoto,Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images\r\n",
"Sam Maksoud,SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification\r\n",
"Sungjoon Choi,Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks\r\n",
"Da Zhang,METAL: Minimum Effort Temporal Activity Localization in Untrimmed Videos\r\n",
"Xi Yan,Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data\r\n",
"Li Yuan,Revisiting Knowledge Distillation via Label Smoothing Regularization\r\n",
"Liheng Zhang,WCP: Worst-Case Perturbations for Semi-Supervised Deep Learning\r\n",
"Jie Song,DEPARA: Deep Attribution Graph for Deep Knowledge Transferability\r\n",
"Davide Abati,Conditional Channel Gated Networks for Task-Aware Continual Learning\r\n",
"Shuhao Cui,Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations\r\n",
"Dong Wang,FocalMix: Semi-Supervised Learning for 3D Medical Image Detection\r\n",
"Johanna Wald,Learning 3D Semantic Scene Graphs From 3D Indoor Reconstructions\r\n",
"Siva Karthik Mustikovela,Self-Supervised Viewpoint Learning From Image Collections\r\n",
"Mark Boss,Two-Shot Spatially-Varying BRDF and Shape Estimation\r\n",
"Zhitong Xiong,Variational Context-Deformable ConvNets for Indoor Scene Parsing\r\n",
"Qibin Hou,Strip Pooling: Rethinking Spatial Pooling for Scene Parsing\r\n",
"Qi Fan,Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector\r\n",
"Jiahua Dong,What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation\r\n",
"Qier Meng,ADINet: Attribute Driven Incremental Network for Retinal Image Classification\r\n",
"Lanqing Hu,Unsupervised Domain Adaptation With Hierarchical Gradient Synchronization\r\n",
"Zhiheng Li,Deep Grouping Model for Unified Perceptual Parsing\r\n",
"Yujiao Shi,Where Am I Looking At? Joint Location and Orientation Estimation by Cross-View Matching\r\n",
"Xiangrui Zeng,Gum-Net: Unsupervised Geometric Matching for Fast and Accurate 3D Subtomogram Image Alignment and Averaging\r\n",
"Yanchao Yang,FDA: Fourier Domain Adaptation for Semantic Segmentation\r\n",
"Zhuo Zheng,Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery\r\n",
"Yen-Cheng Liu,When2com: Multi-Agent Perception via Communication Graph Grouping\r\n",
"Tiancai Wang,Learning Human-Object Interaction Detection Using Interaction Points\r\n",
"Qihang Yu,C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation\r\n",
"Christian Simon,Adaptive Subspaces for Few-Shot Learning\r\n",
"Fa-Ting Hong,Learning to Detect Important People in Unlabelled Images for Semi-Supervised Important People Detection\r\n",
"Ying Chen,Stochastic Sparse Subspace Clustering\r\n",
"Weide Liu,CRNet: Cross-Reference Networks for Few-Shot Segmentation\r\n",
"Wanyu Lin,Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data\r\n",
"Paul Bergmann,Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings\r\n",
"Xiaokang Chen,3D Sketch-Aware Semantic Scene Completion via Semi-Supervised Structure Prior\r\n",
"Peiwen Lin,Graph-Guided Architecture Search for Real-Time Semantic Segmentation\r\n",
"Debang Li,Composing Good Shots by Exploiting Mutual Relations\r\n",
"Dazhou Guo,Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search\r\n",
"Wei Chen,G2L-Net: Global to Local Network for Real-Time 6D Pose Estimation With Embedding Vector Features\r\n",
"Dongnan Liu,Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting\r\n",
"Nikita Araslanov,Single-Stage Semantic Segmentation From Image Labels\r\n",
"Tianfei Zhou,Cascaded Human-Object Interaction Recognition\r\n",
"Bo Zhou,DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction With Deep T1 Prior\r\n",
"Junsong Fan,Learning Integral Objects With Intra-Class Discriminator for Weakly-Supervised Semantic Segmentation\r\n",
"Yiqun Lin,FPConv: Learning Local Flattening for Point Convolution\r\n",
"Qin Yang,Rotation Equivariant Graph Convolutional Network for Spherical Image Classification\r\n",
"Hanchao Yu,FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation\r\n",
"Sharon Fogel,ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation\r\n",
"Fengmao Lv,Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer\r\n",
"Linchao Zhu,Inflated Episodic Memory With Region Self-Attention for Long-Tailed Visual Recognition\r\n",
"Osama Makansi,Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View With a Reachability Prior\r\n",
"Haifeng Xia,Structure Preserving Generative Cross-Domain Learning\r\n",
"Yifan Yang,Reverse Perspective Network for Perspective-Aware Object Counting\r\n",
"Jiacheng Wei,Multi-Path Region Mining for Weakly Supervised 3D Semantic Segmentation on Point Clouds\r\n",
"Renjun Xu,Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation\r\n",
"Charles R. Qi,ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes\r\n",
"Buyu Liu,Understanding Road Layout From Videos as a Whole\r\n",
"Zhiwei Hu,Bi-Directional Relationship Inferring Network for Referring Image Segmentation\r\n",
"Yikai Li,Perspective Plane Program Induction From a Single Image\r\n",
"Jian Wang,DeepFLASH: An Efficient Network for Learning-Based Medical Image Registration\r\n",
"Yaxing Wang,Semi-Supervised Learning for Few-Shot Image-to-Image Translation\r\n",
"Yanbin Liu,Semantic Correspondence as an Optimal Transport Problem\r\n",
"Camilo Fosco,How Much Time Do You Have? Modeling Multi-Duration Saliency\r\n",
"Dat Huynh,Fine-Grained Generalized Zero-Shot Learning via Dense Attribute-Based Attention\r\n",
"Zhenyu Zhang,Online Depth Learning Against Forgetting in Monocular Videos\r\n",
"Lingjing Wang,Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation\r\n",
"Ling Zhou,Pattern-Structure Diffusion for Multi-Task Learning\r\n",
"Zhen Wang,Training Noise-Robust Deep Neural Networks via Meta-Learning\r\n",
"Jiazhao Zhang,Fusion-Aware Point Convolution for Online Semantic 3D Scene Segmentation\r\n",
"Jogendra Nath Kundu,Universal Source-Free Domain Adaptation\r\n",
"Beibei Jin,Exploring Spatial-Temporal Multi-Frequency Analysis for High-Fidelity and Temporal-Consistency Video Prediction\r\n",
"Akshay Dudhane,Varicolored Image De-Hazing\r\n",
"Hanyu Shi,SpSequenceNet: Semantic Segmentation Network on 4D Point Clouds\r\n",
"Tushar Sandhan,Separating Particulate Matter From a Single Microscopic Image\r\n",
"Shuai Bai,Adaptive Dilated Network With Self-Correction Supervision for Counting\r\n",
"Sourabh Vora,PointPainting: Sequential Fusion for 3D Object Detection\r\n",
"Biagio Brattoli,Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications\r\n",
"Linjun Zhou,Learning to Select Base Classes for Few-Shot Classification\r\n",
"Florian Kluger,CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus\r\n",
"Tony C.W. Mok,Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks\r\n",
"Fabio Tosi,Distilled Semantics for Comprehensive Scene Understanding from Videos\r\n",
"Edward Kim,Modeling Biological Immunity to Adversarial Examples\r\n",
"Ashraful Islam,DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy-Move Forgery Detection and Localization\r\n",
"Sebastian Weiss,Correspondence-Free Material Reconstruction using Sparse Surface Constraints\r\n",
"Shawn Mathew,Augmenting Colonoscopy Using Extended and Directional CycleGAN for Lossy Image Translation\r\n",
"Xiaoheng Jiang,Attention Scaling for Crowd Counting\r\n",
"Jan Bednařík,Shape Reconstruction by Learning Differentiable Surface Representations\r\n",
"Yuyu Guo,A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image\r\n",
"Thilini Cooray,Attention-Based Context Aware Reasoning for Situation Recognition\r\n",
"Kamal Gupta,PatchVAE: Learning Local Latent Codes for Recognition\r\n",
"Adrian Johnston,Self-Supervised Monocular Trained Depth Estimation Using Self-Attention and Discrete Disparity Volume\r\n",
"Antigoni Tsiami,STAViS: Spatio-Temporal AudioVisual Saliency Network\r\n",
"Yuanen Zhou,More Grounded Image Captioning by Distilling Image-Text Matching Model\r\n",
"Deblina Bhattacharjee,DUNIT: Detection-Based Unsupervised Image-to-Image Translation\r\n",
"Alan Dolhasz,Learning to Observe: Approximating Human Perceptual Thresholds for Detection of Suprathreshold Image Transformations\r\n",
"Fawaz Sammani,\"Show, Edit and Tell: A Framework for Editing Image Captions\"\r\n",
"Hong Joo Lee,Structure Boundary Preserving Segmentation for Medical Image With Ambiguous Boundary\r\n",
"Lyujian Lu,Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers\r\n",
"Yu Zhao,Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution\r\n",
"Xingtong Liu,Extremely Dense Point Correspondences Using a Learned Feature Descriptor\r\n",
"Kyle Genova,Local Deep Implicit Functions for 3D Shape\r\n",
"Li Jiang,PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation\r\n",
"Jiayu Yang,Cost Volume Pyramid Based Depth Inference for Multi-View Stereo\r\n",
"Silvan Weder,RoutedFusion: Learning Real-Time Depth Map Fusion\r\n",
"Zhixiang Min,VOLDOR: Visual Odometry From Log-Logistic Dense Optical Flow Residuals\r\n",
"Yang Li,Learning to Optimize Non-Rigid Tracking\r\n",
"Lei Zhou,KFNet: Learning Temporal Camera Relocalization Using Kalman Filtering\r\n",
"Alejandro Fontán,Information-Driven Direct RGB-D Odometry\r\n",
"Paul-Edouard Sarlin,SuperGlue: Learning Feature Matching With Graph Neural Networks\r\n",
"Aritra Bhowmik,Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task\r\n",
"Wenbin Zhu,ReDA:Reinforced Differentiable Attribute for 3D Face Reconstruction\r\n",
"Lan Xu,EventCap: Monocular 3D Capture of High-Speed Human Motions Using an Event Camera\r\n",
"Victoria Fernández Abrevaya,Cross-Modal Deep Face Normals With Deactivable Skip Connections\r\n",
"Dominik Kulon,Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild\r\n",
"Lingzhi Li,Face X-Ray for More General Face Forgery Detection\r\n",
"William A. P. Smith,A Morphable Face Albedo Model\r\n",
"Rongliang Wu,Cascade EF-GAN: Progressive Facial Expression Editing With Local Focuses\r\n",
"Enric Corona,GanHand: Predicting Human Grasp Affordances in Multi-Object Scenes\r\n",
"Zezheng Wang,Deep Spatial Gradient and Temporal Depth Learning for Face Anti-Spoofing\r\n",
"Marc Habermann,DeepCap: Monocular Human Performance Capture Using Weak Supervision\r\n",
"Ruixu Liu,Attention Mechanism Exploits Temporal Contexts: Real-Time 3D Human Pose Reconstruction\r\n",
"Lingzhi Li,Advancing High Fidelity Identity Swapping for Forgery Detection\r\n",
"Yifang Men,Controllable Person Image Synthesis With Attribute-Decomposed GAN\r\n",
"Yi Wang,Attentive Normalization for Conditional Image Generation\r\n",
"Peihao Zhu,SEAN: Image Synthesis With Semantic Region-Adaptive Normalization\r\n",
"Wang Shen,Blurry Video Frame Interpolation\r\n",
"Thomas Nestmeyer,Learning Physics-Guided Face Relighting Under Directional Light\r\n",
"Yazeed Alharbi,Disentangled Image Generation Through Structured Noise Injection\r\n",
"Pan Zhang,Cross-Domain Correspondence Learning for Exemplar-Based Image Translation\r\n",
"Yu Deng,Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning\r\n",
"Soomin Kim,Single Image Reflection Removal With Physically-Based Training Images\r\n",
"Chengying Gao,SketchyCOCO: Image Generation From Freehand Scene Sketches\r\n",
"Assaf Neuberger,Image Based Virtual Try-On Network From Unpaired Data\r\n",
"Wentao Jiang,PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer\r\n",
"Jiankang Deng,RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild\r\n",
"Helisa Dhamo,Semantic Image Manipulation Using Scene Graphs\r\n",
"Sadegh Aliakbarian,A Stochastic Conditioning Scheme for Diverse Human Motion Prediction\r\n",
"Artsiom Sanakoyeu,Transferring Dense Pose to Proximal Animal Classes\r\n",
"Umar Iqbal,Weakly-Supervised 3D Human Pose Learning via Multi-View Images in the Wild\r\n",
"Muhammed Kocabas,VIBE: Video Inference for Human Body Pose and Shape Estimation\r\n",
"Yaohui Wang,G3AN: Disentangling Appearance and Motion for Video Generation\r\n",
"Ying-Cong Chen,Domain Adaptive Image-to-Image Translation\r\n",
"Muyang Li,GAN Compression: Efficient Architectures for Interactive Conditional GANs\r\n",
"Zitong Yu,Searching Central Difference Convolutional Networks for Face Anti-Spoofing\r\n",
"Zhuoqian Yang,TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting\r\n",
"Hyeongmin Lee,AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation\r\n",
"Jiangning Zhang,FReeNet: Multi-Identity Face Reenactment\r\n",
"Jae Shin Yoon,Novel View Synthesis of Dynamic Scenes With Globally Coherent Depths From a Monocular Camera\r\n",
"Yuxiao Zhou,Monocular Real-Time Hand Shape and Motion Capture Using Multi-Modal Data\r\n",
"Garoe Dorta,The GAN That Warped: Semantic Attribute Editing With Unpaired Data\r\n",
"Aayush Bansal,4D Visualization of Dynamic Events From Unconstrained Multi-View Videos\r\n",
"Yongming Rao,Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds\r\n",
"Bowen Cheng,HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation\r\n",
"Eunji Chong,Detecting Attended Visual Targets in Video\r\n",
"Yong Guo,Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution\r\n",
"Konstantinos Rematas,Neural Voxel Renderer: Learning an Accurate and Controllable Rendering Tool\r\n",
"Difan Liu,Neural Contours: Learning to Draw Lines From 3D Shapes\r\n",
"Simon Niklaus,Softmax Splatting for Video Frame Interpolation\r\n",
"Maxim Maximov,CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks\r\n",
"Mang Ye,Probabilistic Structural Latent Representation for Unsupervised Embedding\r\n",
"Zhen Zhu,Semantically Multi-Modal Image Synthesis\r\n",
"Lingzhi Zhang,Nested Scale-Editing for Conditional Image Synthesis\r\n",
"Shangbang Long,UnrealText: Synthesizing Realistic Scene Text Images From the Unreal World\r\n",
"Wu Shi,Fast Texture Synthesis via Pseudo Optimizer\r\n",
"Iacopo Masi,Towards Learning Structure via Consensus for Face Segmentation and Parsing\r\n",
"Bin Zhu,CookGAN: Causality Based Text-to-Image Synthesis\r\n",
"Hong-Xing Yu,Weakly Supervised Discriminative Feature Learning With State Information for Person Identification\r\n",
"Yue Wu,Future Video Synthesis With Object Motion Prediction\r\n",
"Cheng-Han Lee,MaskGAN: Towards Diverse and Interactive Facial Image Manipulation\r\n",
"Huu Le,A Graduated Filter Method for Large Scale Robust Estimation\r\n",
"Cheng Ma,Deep Face Super-Resolution With Iterative Collaboration Between Attentive Recovery and Landmark Estimation\r\n",
"Wen Jiang,Coherent Reconstruction of Multiple Humans From a Single Image\r\n",
"Xu Yan,PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling\r\n",
"Zhang Chen,A Neural Rendering Framework for Free-Viewpoint Relighting\r\n",
"Zhihao Chen,A Multi-Task Mean Teacher for Semi-Supervised Shadow Detection\r\n",
"Yonghyun Kim,GroupFace: Learning Latent Groups and Constructing Group-Based Representations for Face Recognition\r\n",
"Xibin Song,Channel Attention Based Iterative Residual Learning for Depth Map Super-Resolution\r\n",
"Chia-Chi Cheng,Time Flies: Animating a Still Image With Time-Lapse Video As Reference\r\n",
"Philipp Terhörst,SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness\r\n",
"Qiangeng Xu,Grid-GCN for Fast and Scalable Point Cloud Learning\r\n",
"Dong Cao,Domain Balancing: Face Recognition on Long-Tailed Domains\r\n",
"Chen Gao,AdversarialNAS: Adversarial Neural Architecture Search for GANs\r\n",
"Yiqun Mei,Image Super-Resolution With Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining\r\n",
"Junjie Huang,The Devil Is in the Details: Delving Into Unbiased Data Processing for Human Pose Estimation\r\n",
"Jie Chang,Data Uncertainty Learning in Face Recognition\r\n",
"Yi Liu,Regularizing Discriminative Capability of CGANs for Semi-Supervised Generative Learning\r\n",
"Wenxuan Wang,FM2u-Net: Face Morphological Multi-Branch Network for Makeup-Invariant Face Verification\r\n",
"Lei Zhao,UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation\r\n",
"Jianbo Liu,Decoupled Representation Learning for Skeleton-Based Gesture Recognition\r\n",
"Yuecong Min,An Efficient PointLSTM for Point Clouds Based Gesture Recognition\r\n",
"Edo Collins,Editing in Style: Uncovering the Local Semantics of GANs\r\n",
"Hao Dang,On the Detection of Digital Face Manipulation\r\n",
"Fuzhi Yang,Learning Texture Transformer Network for Image Super-Resolution\r\n",
"Junsoo Lee,Reference-Based Sketch Image Colorization Using Augmented-Self Reference and Dense Semantic Correspondence\r\n",
"Adam Kaufman,Deblurring Using Analysis-Synthesis Networks Pair\r\n",
"Hyojin Bahng,Exploring Unlabeled Faces for Novel Attribute Discovery\r\n",
"Jiashun Wang,Neural Pose Transfer by Spatially Adaptive Instance Normalization\r\n",
"Wei Xiong,Fine-Grained Image-to-Image Transformation Towards Visual Recognition\r\n",
"Ziqian Bai,Deep Facial Non-Rigid Multi-View Stereo\r\n",
"Prashanth Chandran,Attention-Driven Cropping for Very High Resolution Facial Landmark Detection\r\n",
"Yiyi Liao,Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis\r\n",
"Rui Qian,End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection\r\n",
"Jiangke Lin,Towards High-Fidelity 3D Face Reconstruction From In-the-Wild Images Using Graph Convolutional Networks\r\n",
"Yuge Huang,CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition\r\n",
"Hang Zhou,Rotate-and-Render: Unsupervised Photorealistic Face Rotation From Single-View Images\r\n",
"Chao Yang,One-Shot Domain Adaptation for Face Generation\r\n",
"Yanwei Pang,BidNet: Binocular Image Dehazing Without Explicit Disparity Estimation\r\n",
"Peidong Liu,Deep Shutter Unrolling Network\r\n",
"Yanping Fu,Joint Texture and Geometry Optimization for RGB-D Reconstruction\r\n",
"Sai Bi,Deep 3D Capture: Geometry and Reflectance From Sparse Multi-View Images\r\n",
"Wenzheng Chen,Auto-Tuning Structured Light by Optical Stochastic Gradient Descent\r\n",
"Zhenyu Xu,MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction\r\n",
"Michal Polic,Uncertainty Based Camera Model Selection\r\n",
"\"Chiyu \"\"Max\"\" Jiang\",Local Implicit Grid Representations for 3D Scenes\r\n",
"Hayato Onizuka,TetraTSDF: 3D Human Reconstruction From a Single Image With a Tetrahedral Outer Shell\r\n",
"Amnon Geifman,Averaging Essential and Fundamental Matrices in Collinear Camera Settings\r\n",
"Kyle Wilson,On the Distribution of Minima in Intrinsic-Metric Rotation Averaging\r\n",
"Edoardo Remelli,Lightweight Multi-View 3D Pose Estimation Through Camera-Disentangled Representation\r\n",
"Jin Liu,A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-View Stereo Reconstruction From an Open Aerial Dataset\r\n",
"Jean Kossaifi,Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation\r\n",
"Min Jin Chong,Effectively Unbiased FID and Inception Score and Where to Find Them\r\n",
"Tianjiao Ding,Robust Homography Estimation via Dual Principal Component Pursuit\r\n",
"Abhishek Aich,Non-Adversarial Video Synthesis With Learned Priors\r\n",
"Gun-Hee Lee,Uncertainty-Aware Mesh Decoder for High Fidelity 3D Face Reconstruction\r\n",
"Björn Browatzki,3FabRec: Fast Few-Shot Face Alignment by Reconstruction\r\n",
"Seungryul Baek,Weakly-Supervised Domain Adaptation via GAN and Mesh Model for Estimating 3D Hand Poses Interacting Objects\r\n",
"Chi Nhan Duong,Vec2Face: Unveil Human Faces From Their Blackbox Features in Face Recognition\r\n",
"Ayush Tewari,StyleRig: Rigging StyleGAN for 3D Control Over Portrait Images\r\n",
"Jogendra Nath Kundu,Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis\r\n",
"Jianzhu Guo,Learning Meta Face Recognition in Unseen Domains\r\n",
"Shichao Li,Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data\r\n",
"Hongyi Xu,GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models\r\n",
"Yan Zhang,Generating 3D People in Scenes Without People\r\n",
"Dongxu Li,Transferring Cross-Domain Knowledge for Video Sign Language Recognition\r\n",
"Henry M. Clever,Bodies at Rest: 3D Human Pose and Shape Estimation From a Pressure Image Using Synthetic Data\r\n",
"Rui Zhao,Bayesian Adversarial Human Motion Synthesis\r\n",
"Chengzhou Tang,LSM: Learning Subspace Minimization for Low-Level Vision\r\n",
"Guillem Brasó,Learning a Neural Solver for Multiple Object Tracking\r\n",
"Prune Truong,GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences\r\n",
"Dongyan Guo,SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking\r\n",
"Shengyu Zhao,MaskFlownet: Asymmetric Feature Matching With Learnable Occlusion Mask\r\n",
"Guangting Wang,Tracking by Instance Detection: A Meta-Learning Approach\r\n",
"Kenan Dai,High-Performance Long-Term Tracking With Meta-Updater\r\n",
"Bo Pang,TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model\r\n",
"Yue Hu,Collaborative Motion Prediction via Neural Motion Message Passing\r\n",
"Haozhe Qi,P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds\r\n",
"Shunkai Li,Self-Supervised Deep Visual Odometry With Online Adaptation\r\n",
"Daqi Liu,Globally Optimal Contrast Maximisation for Event-Based Motion Estimation\r\n",
"Xuyang Bai,D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features\r\n",
"Yantao Shen,Towards Backward-Compatible Representation Learning\r\n",
"Ruihui Li,PointAugment: An Auto-Augmentation Framework for Point Cloud Classification\r\n",
"Xun Wang,Cross-Batch Memory for Embedding Learning\r\n",
"Yifan Sun,Circle Loss: A Unified Perspective of Pair Similarity Optimization\r\n",
"Simon Jenni,Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics\r\n",
"Valentin Khrulkov,Hyperbolic Image Embeddings\r\n",
"Lei Huang,Controllable Orthogonalization in Training DNNs\r\n",
"Lei Huang,An Investigation Into the Stochasticity of Batch Whitening\r\n",
"Guan'an Wang,High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification\r\n",
"Jaime Spencer,\"Same Features, Different Day: Weakly Supervised Feature Learning for Seasonal Invariance\"\r\n",
"Qianli Ma,Learning to Dress 3D People in Generative Clothing\r\n",
"Zihang Lai,MAST: A Memory-Augmented Self-Supervised Tracker\r\n",
"Liang Liu,Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation\r\n",
"Xinshuo Weng,GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking With 2D-3D Multi-Feature Learning\r\n",
"Xueting Yan,ClusterFit: Improving Generalization of Visual Representations\r\n",
"Qiongjie Cui,Learning Dynamic Relationships for 3D Human Motion Prediction\r\n",
"Long Zhao,Knowledge As Priors: Cross-Modal Knowledge Generalization for Datasets Without Superior Knowledge\r\n",
"Yizhe Zhu,S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation\r\n",
"Yuan Yao,Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning\r\n",
"Yanchao Yang,Learning to Manipulate Individual Objects in an Image\r\n",
"Karsten Roth,PADS: Policy-Adapted Sampling for Visual Similarity Learning\r\n",
"Paul Voigtlaender,Siam R-CNN: Visual Tracking by Re-Detection\r\n",
"Zixin Luo,ASLFeat: Learning Local Features of Accurate Shape and Localization\r\n",
"Fanxu Meng,Filter Grafting for Deep Neural Networks\r\n",
"Bardia Doosti,HOPE-Net: A Graph-Based Model for Hand-Object Pose Estimation\r\n",
"Mohammad Rami Koujan,DeepFaceFlow: In-the-Wild Dense 3D Facial Motion Estimation\r\n",
"Ren Yang,Learning for Video Compression With Hierarchical Quality and Recurrent Enhancement\r\n",
"Fabian Mentzer,Learning Better Lossless Compression Using Lossy Compression\r\n",
"Pengpeng Liu,Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching\r\n",
"Zhiyuan Dang,Multi-Scale Fusion Subspace Clustering Using Similarity Constraint\r\n",
"Zedu Chen,Siamese Box Adaptive Network for Visual Tracking\r\n",
"Guoqing Wang,Cross-Domain Face Presentation Attack Detection via Multi-Domain Disentangled Representation Learning\r\n",
"Xiaohang Zhan,Online Deep Clustering for Unsupervised Representation Learning\r\n",
"Senhui Guo,Density-Aware Feature Embedding for Face Clustering\r\n",
"Ishan Misra,Self-Supervised Learning of Pretext-Invariant Representations\r\n",
"Tianyu Yang,ROAM: Recurrently Optimizing Tracking Model\r\n",
"Yuechen Yu,Deformable Siamese Attention Networks for Visual Object Tracking\r\n",
"Michael Snower,15 Keypoints Is All You Need\r\n",
"Yinqiang Zheng,Optical Flow in the Dark\r\n",
"Hangyu Lin,Sketch-BERT: Learning Sketch Bidirectional Encoder Representation From Transformers by Self-Supervised Learning of Sketch Gestalt\r\n",
"Junbo Yin,A Unified Object Motion and Affinity Model for Online Multi-Object Tracking\r\n",
"Denys Rozumnyi,Sub-Frame Appearance and 6D Pose Estimation of Fast Moving Objects\r\n",
"Yihong Xu,How to Train Your Deep Multi-Object Tracker\r\n",
"Liangji Fang,TPNet: Trajectory Proposal Network for Motion Prediction\r\n",
"Hyodong Lee,Large Scale Video Representation Learning via Relational Graph Clustering\r\n",
"Yichun Shi,Towards Universal Representation Learning for Deep Face Recognition\r\n",
"Yingji Zhong,Robust Partial Matching for Person Search in the Wild\r\n",
"Fei Du,Correlation-Guided Attention for Corner Detection Based Visual Tracking\r\n",
"Lorenzo Porzi,Learning Multi-Object Tracking and Segmentation From Automatic Annotations\r\n",
"Abdallah Benzine,PandaNet: Anchor-Based Single-Shot Multi-Person 3D Pose Estimation\r\n",
"Yudong Wu,Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition\r\n",
"Peiliang Li,Joint Spatial-Temporal Optimization for Stereo 3D Object Tracking\r\n",
"Chong Liu,Unity Style Transfer for Person Re-Identification\r\n",
"Kai Wang,Suppressing Uncertainties for Large-Scale Facial Expression Recognition\r\n",
"Rahul Mitra,Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation\r\n",
"Rongmei Lin,Regularizing Neural Networks via Minimizing Hyperspherical Energy\r\n",
"Spyros Gidaris,Learning Representations by Predicting Bags of Visual Words\r\n",
"Muhammad Haris Khan,AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces\r\n",
"Yizhuo Zhang,A Transductive Approach for Video Object Segmentation\r\n",
"Yujiang Wang,Dynamic Face Video Segmentation via Reinforcement Learning\r\n",
"Julian Chibane,Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion\r\n",
"Lu Yu,Semantic Drift Compensation for Class-Incremental Learning\r\n",
"Enric Corona,Context-Aware Human Motion Prediction\r\n",
"Aljaž Božič,DeepDeform: Learning Non-Rigid RGB-D Reconstruction With Semi-Supervised Data\r\n",
"Mariko Isogawa,Optical Non-Line-of-Sight Physics-Based 3D Human Pose Estimation\r\n",
"Aymen Mir,Learning to Transfer Texture From Clothing Images to 3D Humans\r\n",
"Bruno Artacho,UniPose: Unified Human Pose Estimation in Single Images and Videos\r\n",
"Yaqing Ding,Minimal Solutions to Relative Pose Estimation From Two Views Sharing a Common Direction With Unknown Focal Length\r\n",
"Wang Zeng,3D Human Mesh Regression With Dense Correspondence\r\n",
"Chaoqun Wang,Cross-Modal Pattern-Propagation for RGB-T Tracking\r\n",
"Yiding Yang,Distilling Knowledge From Graph Convolutional Networks\r\n",
"Po-Hsiang Huang,Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment\r\n",
"Feng Zhang,Distribution-Aware Coordinate Representation for Human Pose Estimation\r\n",
"Dechao Meng,Parsing-Based View-Aware Embedding Network for Vehicle Re-Identification\r\n",
"Jameel Malik,HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation From a Single Depth Map\r\n",
"Tianshu Yu,Determinant Regularization for Gradient-Efficient Graph Matching\r\n",
"Alan Lukežič,D3S – A Discriminative Single Shot Segmentation Tracker\r\n",
"Francesco Marchetti,MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction\r\n",
"Marin Toromanoff,End-to-End Model-Free Reinforcement Learning for Urban Driving Using Implicit Affordances\r\n",
"Xiang Gao,GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations\r\n",
"Evangelos Sariyanidi,Can Facial Pose and Expression Be Separated With Weak Perspective Camera?\r\n",
"Martin Danelljan,Probabilistic Regression for Visual Tracking\r\n",
"G. Dias Pais,3DRegNet: A Deep Neural Network for 3D Point Registration\r\n",
"Matteo Fabbri,Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation\r\n",
"Mihai Fieraru,Three-Dimensional Reconstruction of Human Interactions\r\n",
"Shuai Zheng,Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning\r\n",
"André Mateus,Minimal Solvers for 3D Scan Alignment With Pairs of Intersecting Lines\r\n",
"Qiufu Li,Wavelet Integrated CNNs for Noise-Robust Image Classification\r\n",
"Byungsoo Ko,Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning\r\n",
"Xiehe Huang,PropagationNet: Propagate Points to Curve to Learn Structure Information\r\n",
"Kangkan Wang,Sequential 3D Human Pose and Shape Estimation From Point Clouds\r\n",
"Jindong Gu,Improving the Robustness of Capsule Networks to Image Affine Transformations\r\n",
"Joel Stehouwer,\"Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofing\"\r\n",
"Xuan Zhang,Quaternion Product Units for Deep Learning on 3D Rotation Groups\r\n",
"Yu Yu,Unsupervised Representation Learning for Gaze Estimation\r\n",
"Grigorios G. Chrysos,P–nets: Deep Polynomial Neural Networks\r\n",
"Qi Qian,Hierarchically Robust Representation Learning\r\n",
"Alejandro Newell,How Useful Is Self-Supervised Pretraining for Visual Tasks?\r\n",
"Yang Zhang,Copy and Paste GAN: Face Hallucination From Shaded Thumbnails\r\n",
"Chaitanya Patel,\"TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style\"\r\n",
"Tianshu Zhang,Object-Occluded Human Shape and Pose Estimation From a Single Color Image\r\n",
"Jin Gao,Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking\r\n",
"Junhwa Hur,Self-Supervised Monocular Scene Flow Estimation\r\n",
"Andreas Robinson,Learning Fast and Robust Target Models for Video Object Segmentation\r\n",
"Hao Sun,Reciprocal Learning Networks for Human Trajectory Prediction\r\n",
"David S. Hayden,Nonparametric Object and Parts Modeling With Lie Group Dynamics\r\n",
"Qingyuan Zheng,Learning to Shadow Hand-Drawn Sketches\r\n",
"Kyle Olszewski,\"Intuitive, Interactive Beard and Hair Synthesis With Generative Models\"\r\n",
"Assaf Shocher,Semantic Pyramid for Image Generation\r\n",
"Olivia Wiles,SynSin: End-to-End View Synthesis From a Single Image\r\n",
"Abdul Fatir Ansari,A Characteristic Function Approach to Deep Implicit Generative Modeling\r\n",
"Ivan Anokhin,High-Resolution Daytime Translation Without Domain Labels\r\n",
"Paul Henderson,Leveraging 2D Data to Learn Textured 3D Mesh Generation\r\n",
"Zili Yi,Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting\r\n",
"Ruiqi Gao,Flow Contrastive Estimation of Energy-Based Models\r\n",
"Ali Mosleh,Hardware-in-the-Loop End-to-End Optimization of Camera Image Processing Pipelines\r\n",
"Yu Liu,Search to Distill: Pearls Are Everywhere but Not the Eyes\r\n",
"Erich Kobler,Total Deep Variation for Linear Inverse Problems\r\n",
"Tomáš Werner,Relative Interior Rule in Block-Coordinate Descent\r\n",
"Tao Wang,Learning Combinatorial Solver for Graph Matching\r\n",
"Itai Lang,SampleNet: Differentiable Point Cloud Sampling\r\n",
"Safa Messaoud,Can We Learn Heuristics for Graphical Model Inference Using Reinforcement Learning?\r\n",
"Yuxin Yao,Quasi-Newton Solver for Robust Non-Rigid Registration\r\n",
"Muhammad Abdullah Jamal,Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective\r\n",
"Michal Rolínek,Optimizing Rank-Based Metrics With Blackbox Differentiation\r\n",
"Zekun Hao,DualSDF: Semantic Shape Manipulation Using a Two-Level Representation\r\n",
"Duo Li,Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives\r\n",
"Hoang Le,Deep Homography Estimation for Dynamic Scenes\r\n",
"Zitian Huang,PF-Net: Point Fractal Network for 3D Point Cloud Completion\r\n",
"Ambar Pal,On the Regularization Properties of Structured Dropout\r\n",
"Tong Zhou,Learning Oracle Attention for High-Fidelity Face Completion\r\n",
"Yurui Ren,Deep Image Spatial Transformation for Person Image Generation\r\n",
"Zhi Gao,Learning to Optimize on SPD Manifolds\r\n",
"Sicheng Xu,Deep 3D Portrait From a Single Image\r\n",
"He Zhao,RDCFace: Radial Distortion Correction for Face Recognition\r\n",
"Yaobin Zhang,Global-Local GCN: Large-Scale Label Noise Cleansing for Face Recognition\r\n",
"Shuchen Weng,MISC: Multi-Condition Injection and Spatially-Adaptive Compositing for Conditional Person Image Synthesis\r\n",
"Cheng Peng,SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis\r\n",
"Jingyuan Li,Recurrent Feature Reasoning for Image Inpainting\r\n",
"Cheng Ma,Structure-Preserving Super Resolution With Gradient Guidance\r\n",
"Yihui He,Epipolar Transformers\r\n",
"Zhizhong Wang,Diversified Arbitrary Style Transfer via Deep Feature Perturbation\r\n",
"Animesh Karnewar,MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks\r\n",
"Miao Zhang,Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization\r\n",
"Mohsen Joneidi,Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds\r\n",
"Peng Dai,Neural Point Cloud Rendering via Multi-Plane Projection\r\n",
"Oran Gafni,Wish You Were Here: Context-Aware Human Generation\r\n",
"Han Yang,Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content\r\n",
"Ori Nizan,Breaking the Cycle – Colleagues Are All You Need\r\n",
"Hao Tang,Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation\r\n",
"Bowen Li,ManiGAN: Text-Guided Image Manipulation\r\n",
"Ricard Durall,Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions\r\n",
"Patrick Knöbelreiter,Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems\r\n",
"Dror Simon,Barycenters of Natural Images ­ Constrained Wasserstein Barycenters for Image Morphing\r\n",
"Zheng Ding,Guided Variational Autoencoder for Disentanglement Learning\r\n",
"Boyan Duan,Cross-Spectral Face Hallucination via Disentangling Independent Factors\r\n",
"Zhengxue Cheng,Learned Image Compression With Discretized Gaussian Mixture Likelihoods and Attention Modules\r\n",
"Albert Pumarola,C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds\r\n",
"Li'an Zhuo,Cogradient Descent for Bilinear Optimization\r\n",
"Jheng-Wei Su,Instance-Aware Image Colorization\r\n",
"Tian Han,Joint Training of Variational Auto-Encoder and Latent Energy-Based Model\r\n",
"Zhongnan Qu,Adaptive Loss-Aware Quantization for Multi-Bit Networks\r\n",
"Aviram Bar-Haim,ScopeFlow: Dynamic Scene Scoping for Optical Flow\r\n",
"Takashi Isobe,Video Super-Resolution With Temporal Group Attention\r\n",
"Yawei Li,Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression\r\n",
"Meng-Li Shih,3D Photography Using Context-Aware Layered Depth Inpainting\r\n",
"Yuheng Li,MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation\r\n",
"Yerlan Idelbayev,Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer\r\n",
"Zhengzhe Liu,Global Texture Enhancement for Fake Face Detection in the Wild\r\n",
"Aysegul Dundar,Panoptic-Based Image Synthesis\r\n",
"Pratul P. Srinivasan,Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination\r\n",
"Xinrui Wang,Learning to Cartoonize Using White-Box Cartoon Representations\r\n",
"Bo Chen,End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization\r\n",
"Tero Karras,Analyzing and Improving the Image Quality of StyleGAN\r\n",
"Haoye Dong,Fashion Editing With Adversarial Parsing Learning\r\n",
"Elad Hoffer,Augment Your Batch: Improving Generalization Through Instance Repetition\r\n",
"Daquan Liu,ARShadowGAN: Shadow Generative Adversarial Network for Augmented Reality in Single Light Scenes\r\n",
"Prashant W. Patil,An End-to-End Edge Aggregation Network for Moving Object Segmentation\r\n",
"Jiyang Yu,Learning Video Stabilization Using Optical Flow\r\n",
"Runfa Chen,Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation\r\n",
"Arash Rahnama,Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory\r\n",
"Yunjey Choi,StarGAN v2: Diverse Image Synthesis for Multiple Domains\r\n",
"Kyu-Yul Lee,Warping Residual Based Image Stitching for Large Parallax\r\n",
"Edgar Schönfeld,A U-Net Based Discriminator for Generative Adversarial Networks\r\n",
"Ran Yi,Unpaired Portrait Drawing Generation via Asymmetric Cycle Mapping\r\n",
"Nathaniel Chodosh,When to Use Convolutional Neural Networks for Inverse Problems\r\n",
"Abhinav Kumar,\"LUVLi Face Alignment: Estimating Landmarks’ Location, Uncertainty, and Visibility Likelihood\"\r\n",
"Chu Wang,Affinity Graph Supervision for Visual Recognition\r\n",
"Michael Dorkenwald,Unsupervised Magnification of Posture Deviations Across Subjects\r\n",
"Fukun Yin,Accurate Estimation of Body Height From a Single Depth Image via a Four-Stage Developing Network\r\n",
"Naofumi Akimoto,Fast Soft Color Segmentation\r\n",
"José Pedro Iglesias,Global Optimality for Point Set Registration Using Semidefinite Programming\r\n",
"Rameen Abdal,Image2StyleGAN++: How to Edit the Embedded Images?\r\n",
"Yanru Huang,SQE: a Self Quality Evaluation Metric for Parameters Optimization in Multi-Object Tracking\r\n",
"Lin Wang,\"EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning\"\r\n",
"Qiangchang Wang,Hierarchical Pyramid Diverse Attention Networks for Face Recognition\r\n",
"Sinéad Kearney,RGBD-Dog: Predicting Canine Pose from RGBD Sensors\r\n",
"Kui Jiang,Multi-Scale Progressive Fusion Network for Single Image Deraining\r\n",
"Philipp Henzler,Learning a Neural 3D Texture Space From 2D Exemplars\r\n",
"Yandong Li,BachGAN: High-Resolution Image Synthesis From Salient Object Layout\r\n",
"Jaejun Yoo,Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy\r\n",
"Tianyu Guo,On Positive-Unlabeled Classification in GAN\r\n",
"Wenyan Cong,DoveNet: Deep Image Harmonization via Domain Verification\r\n",
"Takuhiro Kaneko,Noise Robust Generative Adversarial Networks\r\n",
"Apratim Bhattacharyya,Normalizing Flows With Multi-Scale Autoregressive Priors\r\n",
"Gyumin Shim,Robust Reference-Based Super-Resolution With Similarity-Aware Deformable Convolution\r\n",
"Amy Zhao,Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings\r\n",
"Ali Rahmati,GeoDA: A Geometric Framework for Black-Box Adversarial Attacks\r\n",
"Seongwook Yoon,GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data\r\n",
"You Huang,An Internal Covariate Shift Bounding Algorithm for Deep Neural Networks by Unitizing Layers’ Outputs\r\n",
"Marcus Valtonen Örnhag,A Unified Optimization Framework for Low-Rank Inducing Penalties\r\n",
"Yunpei Jia,Single-Side Domain Generalization for Face Anti-Spoofing\r\n",
"Matan Haroush,The Knowledge Within: Methods for Data-Free Model Compression\r\n",
"Eirikur Agustsson,Scale-Space Flow for End-to-End Optimized Video Compression\r\n",
"Colin Graber,Dynamic Neural Relational Inference\r\n",
"Rui Hou,Real-Time Panoptic Segmentation From Dense Detections\r\n",
"Sida Peng,Deep Snake for Real-Time Instance Segmentation\r\n",
"Chenyang Zhu,AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss\r\n",
"Yanwei Li,Learning Dynamic Routing for Semantic Segmentation\r\n",
"Jinlin Liu,Boosting Semantic Human Matting With Coarse Annotations\r\n",
"Hao Chen,BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation\r\n",
"Jing Zhang,UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders\r\n",
"Nicolas Donati,Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence\r\n",
"Agastya Kalra,Deep Polarization Cues for Transparent Object Segmentation\r\n",
"Jonas Schult,DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes\r\n",
"Konstantin Sofiiuk,F-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation\r\n",
"Muxingzi Li,Approximating shapes in images with low-complexity polygons\r\n",
"Wenqian Liu,Towards Visually Explaining Variational Autoencoders\r\n",
"Weibin Wu,Towards Global Explanations of Convolutional Neural Networks With Concept Attribution\r\n",
"Zixuan Huang,Interpretable and Accurate Fine-grained Recognition via Region Grouping\r\n",
"Naman Bansal,SAM: The Sensitivity of Attribution Methods to Hyperparameters\r\n",
"Haohan Wang,High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks\r\n",
"Sheng-Yu Wang,CNN-Generated Images Are Surprisingly Easy to Spot… for Now\r\n",
"Shaohua Li,FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions\r\n",
"Hongxu Yin,Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion\r\n",
"Hui Tang,Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering\r\n",
"Gaurav Mittal,HyperSTAR: Task-Aware Hyperparameters for Deep Networks\r\n",
"Linchao Zhu,ActBERT: Learning Global-Local Video-Text Representations\r\n",
"Beichen Zhang,State-Relabeling Adversarial Active Learning\r\n",
"Jinjie Mai,Erasing Integrated Learning: A Simple Yet Effective Approach for Weakly Supervised Object Localization\r\n",
"Dat Huynh,A Shared Multi-Attention Framework for Multi-Label Zero-Shot Learning\r\n",
"Tomas Jakab,Self-Supervised Learning of Interpretable Keypoints From Unlabelled Videos\r\n",
"Bo Liu,Few-Shot Open-Set Recognition Using Meta-Learning\r\n",
"Han-Jia Ye,Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions\r\n",
"Ping Hu,Temporally Distributed Networks for Fast Video Semantic Segmentation\r\n",
"Christoph Kamann,Benchmarking the Robustness of Semantic Segmentation Models\r\n",
"Sylvestre-Alvise Rebuffi,There and Back Again: Revisiting Backpropagation Saliency Methods\r\n",
"Jiabo Huang,Deep Semantic Clustering by Partition Confidence Maximisation\r\n",
"Kaichun Mo,StructEdit: Learning Structural Shape Variations\r\n",
"Chaoqi Chen,Harmonizing Transferability and Discriminability for Adapting Object Detectors\r\n",
"Xuhua Huang,Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching\r\n",
"Ho Kei Cheng,CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement\r\n",
"Ziwei Zhang,\"Correlating Edge, Pose With Parsing\"\r\n",
"Yong-Qiang Tan,VecRoad: Point-Based Iterative Graph Exploration for Road Graphs Extraction\r\n",
"Zeyu Wang,Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation\r\n",
"Wenguan Wang,Hierarchical Human Parsing With Typed Part-Relation Reasoning\r\n",
"Adam Kortylewski,Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion\r\n",
"Xia Li,Spatial Pyramid Based Graph Reasoning for Semantic Segmentation\r\n",
"Xiankai Lu,Learning Video Object Segmentation From Unlabeled Videos\r\n",
"Xiaomei Zhang,Part-Aware Context Network for Human Parsing\r\n",
"Pei Wang,SCOUT: Self-Aware Discriminant Counterfactual Explanations\r\n",
"Yu-Ting Chang,Weakly-Supervised Semantic Segmentation via Sub-Category Exploration\r\n",
"Janghyeon Lee,Continual Learning With Extended Kronecker-Factored Approximate Curvature\r\n",
"Yanchao Yang,Phase Consistent Ecological Domain Adaptation\r\n",
"Yunpeng Zhai,AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-Identification\r\n",
"Francis Engelmann,3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance Segmentation\r\n",
"Denis Gudovskiy,Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision\r\n",
"Kaihua Zhang,Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection\r\n",
"Yongri Piao,A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object Detection\r\n",
"Peizhao Li,Deep Fair Clustering for Visual Learning\r\n",
"Yangxin Wu,Bidirectional Graph Reasoning Network for Panoptic Segmentation\r\n",
"Chih-Hui Ho,Exploit Clues From Views: Self-Supervised and Regularized Learning for Multiview Object Recognition\r\n",
"Xiang Gu,Spherical Space Domain Adaptation With Robust Pseudo-Label Loss\r\n",
"Zhihe Lu,Stochastic Classifiers for Unsupervised Domain Adaptation\r\n",
"Nenglun Chen,Unsupervised Learning of Intrinsic Structural Representation Points\r\n",
"Justin Liang,PolyTransform: Deep Polygon Transformer for Instance Segmentation\r\n",
"Huajun Zhou,Interactive Two-Stream Decoder for Accurate and Fast Saliency Detection\r\n",
"Wang Zhao,Towards Better Generalization: Joint Depth-Pose Learning Without PoseNet\r\n",
"Shuxin Wang,LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation\r\n",
"Zhibo Fan,FGN: Fully Guided Network for Few-Shot Instance Segmentation\r\n",
"Vladislav Golyanik,A Quantum Computational Approach to Correspondence Problems on Point Sets\r\n",
"Peibin Chen,Data-Efficient Semi-Supervised Learning by Reliable Edge Mining\r\n",
"Matthew J. Vowels,NestedVAE: Isolating Common Factors via Weak Supervision\r\n",
"Sinan Wang,Progressive Adversarial Networks for Fine-Grained Domain Adaptation\r\n",
"Patrick Esser,A Disentangling Invertible Interpretation Network for Explaining Latent Representations\r\n",
"Fabio Cermelli,Modeling the Background for Incremental Learning in Semantic Segmentation\r\n",
"Yujun Shen,Interpreting the Latent Space of GANs for Semantic Face Editing\r\n",
"Jianqiang Wan,Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation\r\n",
"Tao Li,Self-Learning With Rectification Strategy for Human Parsing\r\n",
"Shaoteng Liu,Hyperbolic Visual Embedding Learning for Zero-Shot Recognition\r\n",
"Guy Davidson,Sequential Mastery of Multiple Visual Tasks: Networks Naturally Learn to Learn and Forget to Forget\r\n",
"Zizhao Zhang,Distilling Effective Supervision From Severe Label Noise\r\n",
"Aditya Golatkar,Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks\r\n",
"Yuqing Wang,CenterMask: Single Shot Instance Segmentation With Point Representation\r\n",
"Mei Wang,Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning\r\n",
"Yaxing Wang,MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images\r\n",
"Vignesh Ramanathan,DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data\r\n",
"Yi Shi,Unsupervised Deep Shape Descriptor With Point Distribution Learning\r\n",
"Zhongyou Xu,Stylization-Based Architecture for Fast Deep Exemplar Colorization\r\n",
"Sungha Choi,Cars Can’t Fly Up in the Sky: Improving Urban-Scene Segmentation via Height-Driven Attention Networks\r\n",
"Xi Chen,State-Aware Tracker for Real-Time Video Object Segmentation\r\n",
"Xuan Liao,Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning\r\n",
"Song Bian,ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition\r\n",
"Youwei Pang,Multi-Scale Interactive Network for Salient Object Detection\r\n",
"Dat Huynh,Interactive Multi-Label CNN Learning With Partial Labels\r\n",
"Yawar Siddiqui,ViewAL: Active Learning With Viewpoint Entropy for Semantic Segmentation\r\n",
"Myungsub Choi,Scene-Adaptive Video Frame Interpolation via Meta-Learning\r\n",
"Min-Hung Chen,Action Segmentation With Joint Self-Supervised Temporal Domain Adaptation\r\n",
"Haochen Wang,Pixel Consensus Voting for Panoptic Segmentation\r\n",
"Qiuxiang Zhong,Minimizing Discrete Total Curvature for Image Processing\r\n",
"Daniel Zoran,Towards Robust Image Classification Using Sequential Attention Models\r\n",
"Evangelos Sariyanidi,Discovering Synchronized Subsets of Sequences: A Large Scale Solution\r\n",
"Eric-Tuan Le,Going Deeper With Lean Point Networks\r\n",
"Rui Xiang,Efficient and Robust Shape Correspondence via Sparsity-Enforced Quadratic Assignment\r\n",
"Yiran Xu,Explainable Object-Induced Action Decision for Autonomous Vehicles\r\n",
"Ildoo Kim,Spatially Attentive Output Layer for Image Classification\r\n",
"Mohammad A. A. K. Jalwana,Attack to Explain Deep Representation\r\n",
"Kosuke Tanizaki,Computing Valid P-Values for Image Segmentation by Selective Inference\r\n",
"Chengxu Zhuang,Unsupervised Learning From Video With Deep Neural Embeddings\r\n",
"Xiufeng Xie,Partial Weight Adaptation for Robust DNN Inference\r\n",
"Fuxiang Huang,Probability Weighted Compact Feature for Domain Adaptive Retrieval\r\n",
"Michael Strecke,Where Does It End? – Reasoning About Hidden Surfaces by Object Intersection Constraints\r\n",
"Yang Zhang,PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation\r\n",
"Dwarikanath Mahapatra,Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation\r\n",
"Yiheng Zhang,Transferring and Regularizing Prediction for Semantic Segmentation\r\n",
"Kun Su,PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition\r\n",
"Rui Li,Model Adaptation: Unsupervised Domain Adaptation Without Source Data\r\n",
"Yanru Xiao,Evade Deep Image Retrieval by Stashing Private Images in the Hash Space\r\n",
"Jinkyu Kim,Advisable Learning for Self-Driving Vehicles by Internalizing Observation-to-Action Rules\r\n",
"VSR Veeravasarapu,ProAlignNet: Unsupervised Learning for Progressively Aligning Noisy Contours\r\n",
"Shawn Xu,Attribution in Scale and Space\r\n",
"Vedika Agarwal,Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing\r\n",
"Shi-Xue Zhang,Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection\r\n",
"Junran Peng,Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels\r\n",
"Boyan Zhou,BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition\r\n",
"Kaiming He,Momentum Contrast for Unsupervised Visual Representation Learning\r\n",
"Gedas Bertasius,\"Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation\"\r\n",
"Zhihui Wang,Weakly Supervised Fine-Grained Image Classification via Guassian Mixture Model Oriented Discriminative Learning\r\n",
"Shifeng Zhang,Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection\r\n",
"Thibaut Durand,Learning User Representations for Open Vocabulary Image Hashtag Prediction\r\n",
"Ayan Kumar Bhunia,Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval\r\n",
"Suiyi Ling,Few-Shot Pill Recognition\r\n",
"Alexander Kirillov,PointRend: Image Segmentation As Rendering\r\n",
"Yuliang Liu,ABCNet: Real-Time Scene Text Spotting With Adaptive Bezier-Curve Network\r\n",
"Guoqiang Gong,Learning Temporal Co-Attention Models for Unsupervised Video Action Localization\r\n",
"Yizhou Zhou,Spatiotemporal Fusion in 3D CNNs: A Probabilistic View\r\n",
"Yansong Tang,Uncertainty-Aware Score Distribution Learning for Action Quality Assessment\r\n",
"Anna Kukleva,Learning Interactions and Relationships Between Movie Characters\r\n",
"Dahun Kim,Video Panoptic Segmentation\r\n",
"Dandan Shan,Understanding Human Hands in Contact at Internet Scale\r\n",
"Antoine Miech,End-to-End Learning of Visual Representations From Uncurated Instructional Videos\r\n",
"Evonne Ng,You2Me: Inferring Body Pose in Egocentric Video via First and Second Person Interactions\r\n",
"Jie Chen,Learning a Weakly-Supervised Video Actor-Action Segmentation Model With a Wise Selection\r\n",
"Abdullah Haroon Rasheed,Learning to Measure the Static Friction Coefficient in Cloth Contact\r\n",
"Sagie Benaim,SpeedNet: Learning the Speediness in Videos\r\n",
"Karren Yang,Telling Left From Right: Learning Spatial Correspondence of Sight and Sound\r\n",
"Bruce McIntosh,Visual-Textual Capsule Routing for Text-Based Video Segmentation\r\n",
"Sibei Yang,Graph-Structured Referring Expression Reasoning in the Wild\r\n",
"Shizhe Chen,Say As You Wish: Fine-Grained Control of Image Caption Generation With Abstract Scene Graphs\r\n",
"Thao Minh Le,Hierarchical Conditional Relation Networks for Video Question Answering\r\n",
"Yuankai Qi,REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments\r\n",
"Ronghang Hu,Iterative Answer Prediction With Pointer-Augmented Multimodal Transformers for TextVQA\r\n",
"Ramprasaath R. Selvaraju,SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions\r\n",
"Fengda Zhu,Vision-Language Navigation With Self-Supervised Auxiliary Reasoning Tasks\r\n",
"Necati Cihan Camgöz,Sign Language Transformers: Joint End-to-End Sign Language Recognition and Translation\r\n",
"Gen Luo,Multi-Task Collaborative Network for Joint Referring Expression Comprehension and Segmentation\r\n",
"Ehsan Abbasnejad,Counterfactual Vision and Language Learning\r\n",
"Dan Guo,Iterative Context-Aware Graph Inference for Visual Dialog\r\n",
"Peixi Xiong,TA-Student VQA: Multi-Agents Training by Self-Questioning\r\n",
"Hengshuang Zhao,Exploring Self-Attention for Image Recognition\r\n",
"Zhenfang Chen,Cops-Ref: A New Dataset and Task on Compositional Referring Expression Comprehension\r\n",
"Jiang-Jiang Liu,Improving Convolutional Networks With Self-Calibrated Convolutions\r\n",
"Junyeong Kim,Modality Shifting Attention Network for Multi-Modal Video Question Answering\r\n",
"Yunzhong Hou,Learning to Structure an Image With Few Colors\r\n",
"Xinyu Wang,\"On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering\"\r\n",
"Ziad Al-Halah,From Paris to Berlin: Discovering Fashion Style Influences Around the World\r\n",
"Anyi Rao,A Local-to-Global Approach to Multi-Modal Movie Scene Segmentation\r\n",
"Mengmeng Xu,G-TAD: Sub-Graph Localization for Temporal Action Detection\r\n",
"Yong-Lu Li,Detailed 2D-3D Joint Representation for Human-Object Interaction\r\n",
"Xuesong Chen,One-Shot Adversarial Attacks on Visual Tracking With Dual Attention\r\n",
"Yue Wu,Rethinking Classification and Localization for Object Detection\r\n",
"Shuda Li,Correspondence Networks With Adaptive Neighbourhood Consensus\r\n",
"Wei Ke,Multiple Anchor Learning for Visual Object Detection\r\n",
"Chenyun Wu,PhraseCut: Language-Based Image Segmentation in the Wild\r\n",
"Rufeng Zhang,Mask Encoding for Single Shot Instance Segmentation\r\n",
"Jingwei Ji,Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs\r\n",
"Muli Yang,Learning Unseen Concepts via Hierarchical Decomposition and Composition\r\n",
"Seokeon Choi,Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification\r\n",
"Huaizu Jiang,In Defense of Grid Features for Visual Question Answering\r\n",
"Tao Zhou,Multi-Mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation\r\n",
"Runhao Zeng,Dense Regression Network for Video Grounding\r\n",
"Yingwei Li,Neural Architecture Search for Lightweight Non-Local Networks\r\n",
"Yanzhao Zhou,Learning Saliency Propagation for Semi-Supervised Instance Segmentation\r\n",
"Arsha Nagrani,Speech2Action: Cross-Modal Supervision for Action Recognition\r\n",
"Longteng Guo,Normalized and Geometry-Aware Self-Attention Network for Image Captioning\r\n",
"Yihong Chen,Memory Enhanced Global-Local Aggregation for Video Object Detection\r\n",
"Kaiyue Pang,Solving Mixed-Modal Jigsaw Puzzle for Fine-Grained Sketch-Based Image Retrieval\r\n",
"Hang Zhou,LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud Based Deep Networks\r\n",
"Jiaxu Miao,Memory Aggregation Networks for Efficient Interactive Video Object Segmentation\r\n",
"Ben-Zion Vatashsky,VQA With No Questions-Answers Training\r\n",
"Debidatta Dwibedi,Counting Out Time: Class Agnostic Video Repetition Counting in the Wild\r\n",
"Shiyi Lan,SaccadeNet: A Fast and Accurate Object Detector\r\n",
"Zhizheng Zhang,Multi-Granularity Reference-Aided Attentive Feature Aggregation for Video-Based Person Re-Identification\r\n",
"Arka Sadhu,Video Object Grounding Using Semantic Roles in Language Description\r\n",
"Ilija Radosavovic,Designing Network Design Spaces\r\n",
"Jiasen Lu,12-in-1: Multi-Task Vision and Language Representation Learning\r\n",
"Qian Xie,MLCVNet: Multi-Level Context VoteNet for 3D Object Detection\r\n",
"Ruohan Gao,Listen to Look: Action Recognition by Previewing Audio\r\n",
"Ruyi Ji,Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization\r\n",
"Chuang Gan,Music Gesture for Visual Sound Separation\r\n",
"Shaofei Huang,Referring Image Segmentation via Cross-Modal Progressive Comprehension\r\n",
"Tom F. H. Runia,Cloth in the Wind: A Case Study of Physical Measurement Through Simulation\r\n",
"Junwei Liang,The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction\r\n",
"Zhiwei Dong,CentripetalNet: Pursuing High-Quality Keypoint Pairs for Object Detection\r\n",
"Shaoshuai Shi,PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection\r\n",
"Amir Markovitz,Graph Embedded Pose Clustering for Anomaly Detection\r\n",
"Jiaming Sun,Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation\r\n",
"Peng Zhou,Deepstrip: High-Resolution Boundary Refinement\r\n",
"Guangcong Wang,Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for Cross-Domain Person Re-Identification\r\n",
"Marcella Cornia,Meshed-Memory Transformer for Image Captioning\r\n",
"Hengduo Li,Learning From Noisy Anchors for One-Stage Object Detection\r\n",
"Zhongzheng Ren,\"Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection\"\r\n",
"Syeda Mariam Ahmed,Density-Based Clustering for 3D Object Detection in Point Clouds\r\n",
"Kaidi Cao,Few-Shot Video Classification via Temporal Alignment\r\n",
"Jiemin Fang,Densely Connected Search Space for More Flexible Neural Architecture Search\r\n",
"Shizhe Chen,Fine-Grained Video-Text Retrieval With Hierarchical Graph Reasoning\r\n",
"Josip Šarić,Warp to the Future: Joint Forecasting of Features and Feature Motion\r\n",
"Zhengsu Chen,Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio\r\n",
"Zhu Zhang,Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences\r\n",
"Ya Jing,Cross-Modal Cross-Domain Moment Alignment Network for Person Search\r\n",
"Qizhe Xie,Self-Training With Noisy Student Improves ImageNet Classification\r\n",
"Lijie Fan,Learning Longterm Representations for Person Re-Identification Using Radio Signals\r\n",
"Keunhong Park,LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation\r\n",
"Justin Lazarow,Learning Instance Occlusion for Panoptic Segmentation\r\n",
"Yi Zhu,Vision-Dialog Navigation by Exploring Cross-Modal Memory\r\n",
"Mohit Shridhar,ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks\r\n",
"Xin Huang,NMS by Representative Region: Towards Crowded Pedestrian Detection by Proposal Pairing\r\n",
"Tan Wang,Visual Commonsense R-CNN\r\n",
"Qilong Wang,What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective\r\n",
"Mingxing Tan,EfficientDet: Scalable and Efficient Object Detection\r\n",
"Mingjie Sun,Fast Template Matching and Update for Video Object Tracking and Segmentation\r\n",
"Long Chen,Counterfactual Samples Synthesizing for Robust Visual Question Answering\r\n",
"Jonghwan Mun,Local-Global Video-Text Interactions for Temporal Grounding\r\n",
"Jun Li,Set-Constrained Viterbi for Set-Supervised Action Segmentation\r\n",
"Yunbo Wang,Probabilistic Video Prediction From Noisy Data With a Posterior Confidence\r\n",
"Chenchen Liu,Beyond Short-Term Snippet: Video Relation Detection With Spatio-Temporal Global Context\r\n",
"Gunnar A. Sigurdsson,Visual Grounding in Video for Unsupervised Word Translation\r\n",
"Jiaxin Qi,Two Causal Principles for Improving Visual Dialog\r\n",
"Boxiao Pan,Spatio-Temporal Graph for Video Captioning With Knowledge Distillation\r\n",
"Yue Liao,A Real-Time Cross-Modality Correlation Filtering Method for Referring Expression Comprehension\r\n",
"Jia Chen,Better Captioning With Sequence-Level Exploration\r\n",
"Jingzhou Liu,Violin: A Large-Scale Dataset for Video-and-Language Inference\r\n",
"Jun Cheng,RiFeGAN: Rich Feature Generation for Text-to-Image Synthesis From Prior Knowledge\r\n",
"Chunxiao Liu,Graph Structured Network for Image-Text Matching\r\n",
"Washington Ramos,Straight to the Point: Fast-Forwarding Videos via Reinforcement Learning Using Textual Data\r\n",
"Xi Wei,Multi-Modality Cross Attention Network for Image and Sentence Matching\r\n",
"Yen-Chang Hsu,Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data\r\n",
"Donghoon Lee,Learning Augmentation Network via Influence Functions\r\n",
"Yingwei Pan,X-Linear Attention Networks for Image Captioning\r\n",
"Dongkai Wang,Unsupervised Person Re-Identification via Multi-Label Classification\r\n",
"Yu Li,Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax\r\n",
"Peiyun Hu,What You See is What You Get: Exploiting Visibility for 3D Object Detection\r\n",
"Wei Zhai,Deep Structure-Revealed Network for Texture Recognition\r\n",
"Qiushan Guo,Online Knowledge Distillation via Collaborative Learning\r\n",
"Yinpeng Chen,Dynamic Convolution: Attention Over Convolution Kernels\r\n",
"Zetong Yang,3DSSD: Point-Based 3D Single Stage Object Detector\r\n",
"Yang Wang,Deep Degradation Prior for Low-Quality Image Classification\r\n",
"Wei-Lin Hsiao,ViBE: Dressing for Diverse Body Shapes\r\n",
"Krishna Kumar Singh,Don’t Judge an Object by Its Context: Learning to Overcome Contextual Bias\r\n",
"Na Zhao,SESS: Self-Ensembling Semi-Supervised 3D Object Detection\r\n",
"Manchen Wang,Combining Detection and Tracking for Human Pose Estimation in Videos\r\n",
"Fanbo Xiang,SAPIEN: A SimulAted Part-Based Interactive ENvironment\r\n",
"Qingyong Hu,RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds\r\n",
"Zhenpei Yang,SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving\r\n",
"Edward Kim,A Programmatic and Semantic Approach to Explaining and Debugging Neural Network Based Object Detectors\r\n",
"Thomas Roddick,Predicting Semantic Map Representations From Images Using Pyramid Occupancy Networks\r\n",
"Christiane Sommer,Efficient Derivative Computation for Cumulative B-Splines on Lie Groups\r\n",
"Kanishka Rao,RL-CycleGAN: Reinforcement Learning Aware Simulation-to-Real\r\n",
"Sivabalan Manivasagam,LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World\r\n",
"Himangi Mittal,Just Go With the Flow: Self-Supervised Scene Flow Estimation\r\n",
"Srikanth Malla,TITAN: Future Forecast Using Action Priors\r\n",
"Amir R. Zamir,Robust Learning Through Cross-Task Consistency\r\n",
"Xingjia Pan,Dynamic Refinement Network for Oriented and Densely Packed Object Detection\r\n",
"Maxim Berman,AOWS: Adaptive and Optimal Network Width Search With Latency Constraints\r\n",
"Christopher Choy,High-Dimensional Convolutional Networks for Geometric Pattern Recognition\r\n",
"Saurabh Singh,Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks\r\n",
"Jan Eric Lenssen,Deep Iterative Surface Normal Estimation\r\n",
"Calvin Murdock,Dataless Model Selection With the Deep Frame Potential\r\n",
"Arash Vahdat,UNAS: Differentiable Architecture Search Meets Reinforcement Learning\r\n",
"Anthony Ortiz,Local Context Normalization: Revisiting Local Normalization\r\n",
"Weiwei Sun,ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning\r\n",
"Eshed Ohn-Bar,Learning Situational Driving\r\n",
"Kaiyue Lu,From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction\r\n",
"Yong-Lu Li,Symmetry and Group in Attribute-Object Compositions\r\n",
"Yunhang Shen,Noise-Aware Fully Webly Supervised Object Detection\r\n",
"Zongdai Liu,3D Part Guided Image Editing for Fine-Grained Object Understanding\r\n",
"Zhishuai Zhang,STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction\r\n",
"Xiawu Zheng,Rethinking Performance Estimation in Neural Architecture Search\r\n",
"Xiaoshui Huang,Feature-Metric Registration: A Fast Semi-Supervised Approach for Robust Point Cloud Registration Without Correspondences\r\n",
"Fei Xue,Learning Multi-View Camera Relocalization With Graph Neural Networks\r\n",
"Pengxiang Wu,MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird’s Eye View Maps\r\n",
"Dongzhan Zhou,EcoNAS: Finding Proxies for Economical Neural Architecture Search\r\n",
"Jianyuan Guo,Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection\r\n",
"Shunwang Gong,Geometrically Principled Connections in Graph Neural Networks\r\n",
"Zhaoyi Wan,On Vocabulary Reliance in Scene Text Recognition\r\n",
"Vishnu Suresh Lokhande,Generating Accurate Pseudo-Labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations\r\n",
"Hao-Shu Fang,GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping\r\n",
"Jianzhun Shao,PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation\r\n",
"Junfeng Guan,Through Fog High-Resolution Imaging Using Millimeter Wave Radar\r\n",
"Vincent Le Guen,Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction\r\n",
"Jiale Cao,D2Det: Towards High Quality Object Detection and Instance Segmentation\r\n",
"Junbo Yin,LiDAR-Based Online 3D Video Object Detection With Graph-Based Message Passing and Spatiotemporal Transformer Attention\r\n",
"Jiayun Wang,Orthogonal Convolutional Neural Networks\r\n",
"Xiaoyi Dong,Self-Robust 3D Point Recognition via Gather-Vector Guidance\r\n",
"Jiyang Gao,VectorNet: Encoding HD Maps and Agent Dynamics From Vectorized Representation\r\n",
"Qilong Wang,ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks\r\n",
"Yuan Gao,MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning\r\n",
"Ming Liang,PnPNet: End-to-End Perception and Prediction With Tracking in the Loop\r\n",
"Guanglu Song,Revisiting the Sibling Head in Object Detector\r\n",
"Kuo-Hao Zeng,Visual Reaction: Learning to Play Catch With Your Drone\r\n",
"Yuhang Cao,Prime Sample Attention in Object Detection\r\n",
"Xianzhi Du,SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization\r\n",
"Xingyu Liu,KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects\r\n",
"Huan Lei,SegGCN: Efficient 3D Point Cloud Segmentation With Fuzzy Spherical Kernel\r\n",
"Holger Caesar,nuScenes: A Multimodal Dataset for Autonomous Driving\r\n",
"Yisheng He,PVN3D: A Deep Point-Wise 3D Keypoints Voting Network for 6DoF Pose Estimation\r\n",
"Anne S. Wannenwetsch,Probabilistic Pixel-Adaptive Refinement Networks\r\n",
"Suchen Wang,Discovering Human Interactions With Novel Objects via Zero-Shot Learning\r\n",
"Jingru Tan,Equalization Loss for Long-Tailed Object Recognition\r\n",
"Mingyu Ding,Learning Depth-Guided Convolutions for Monocular 3D Object Detection\r\n",
"Mario Bijelic,Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather\r\n",
"Pengkai Zhu,Don’t Even Look Once: Synthesizing Features for Zero-Shot Detection\r\n",
"Tomáš Hodaň,EPOS: Estimating 6D Pose of Objects With Symmetries\r\n",
"Yan Wang,\"Train in Germany, Test in the USA: Making 3D Object Detectors Generalize\"\r\n",
"Chang-Dong Xu,Exploring Categorical Regularization for Domain Adaptive Object Detection\r\n",
"Kent Fujiwara,Neural Implicit Embedding for Point Cloud Analysis\r\n",
"Shang Gao,Pose-Guided Visible Part Matching for Occluded Person ReID\r\n",
"Yuxin Wang,ContourNet: Taking a Further Step Toward Accurate Arbitrary-Shaped Scene Text Detection\r\n",
"Aditya Prakash,Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving\r\n",
"Mohan Zhou,Look-Into-Object: Self-Supervised Structure Modeling for Object Recognition\r\n",
"Sainan Liu,Recognizing Objects From Any View With Object and Viewer-Centered Representations\r\n",
"Zongxin Yang,Gated Channel Transformation for Visual Recognition\r\n",
"Lu Chi,Non-Local Neural Networks With Grouped Bilinear Attentional Transforms\r\n",
"Pramuditha Perera,Generative-Discriminative Feature Representations for Open-Set Recognition\r\n",
"Zi Jian Yew,RPM-Net: Robust Point Matching Using Learned Features\r\n",
"Mateusz Malinowski,Sideways: Depth-Parallel Training of Video Models\r\n",
"Zhihao Xia,Basis Prediction Networks for Effective Burst Denoising With Large Kernels\r\n",
"Yuqing Zhu,Private-kNN: Practical Differential Privacy for Computer Vision\r\n",
"Chenhan Jiang,SP-NAS: Serial-to-Parallel Backbone Search for Object Detection\r\n",
"Chenhang He,Structure Aware Single-Stage 3D Object Detection From Point Cloud\r\n",
"Anwesan Pal,“Looking at the Right Stuff” – Guided Semantic-Gaze for Autonomous Driving\r\n",
"Vivek Ramanujan,What’s Hidden in a Randomly Weighted Neural Network?\r\n",
"Elad Eban,Structured Multi-Hashing for Model Compression\r\n",
"Mahyar Najibi,DOPS: Learning to Detect 3D Objects and Predict Their 3D Shapes\r\n",
"Yiming Li,AutoTrack: Towards High-Performance Visual Tracking for UAV With Automatic Spatio-Temporal Regularization\r\n",
"Zhihang Li,GP-NAS: Gaussian Process Based Neural Architecture Search\r\n",
"Ning Wang,NAS-FCOS: Fast Neural Architecture Search for Object Detection\r\n",
"Cheng Wang,TCTS: A Task-Consistent Two-Stage Framework for Person Search\r\n",
"Ron Litman,SCATTER: Selective Context Attentional Scene Text Recognizer\r\n",
"Dengsheng Chen,Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation\r\n",
"Xiaotian Li,Hierarchical Scene Coordinate Classification and Regression for Visual Localization\r\n",
"Chaoyang He,MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation\r\n",
"Eduardo D. C. Carvalho,Scalable Uncertainty for Computer Vision With Functional Variational Inference\r\n",
"Abdelrahman Eldesokey,Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End\r\n",
"Keivan Alizadeh vahid,Butterfly Transform: An Efficient FFT Based Neural Architecture Design\r\n",
"Ji Zhao,A Certifiably Globally Optimal Solution to Generalized Essential Matrix Estimation\r\n",
"Zhichao Lu,MUXConv: Information Multiplexing in Convolutional Neural Networks\r\n",
"Amir Hertz,PointGMM: A Neural GMM Network for Point Clouds\r\n",
"Nick Moran,Noisier2Noise: Learning to Denoise From Unpaired Noisy Data\r\n",
"Ricardo Fabbri,TRPLP – Trifocal Relative Pose From Lines at Points\r\n",
"Shoukang Hu,DSNAS: Direct Neural Architecture Search Without Parameter Retraining\r\n",
"Yongjian Chen,MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships\r\n",
"Jinhyung Kim,Regularization on Spatio-Temporally Smoothed Feature for Action Recognition\r\n",
"Deli Yu,Towards Accurate Scene Text Recognition With Semantic Reasoning Networks\r\n",
"Juncheng Li,Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation\r\n",
"Avishek Siris,Inferring Attention Shift Ranks of Objects for Image Saliency\r\n",
"Sk Miraj Ahmed,Camera On-Boarding for Person Re-Identification Using Hypothesis Transfer Learning\r\n",
"Mattia Rossi,Joint Graph-Based Depth Refinement and Normal Estimation\r\n",
"Qi Qian,DR Loss: Improving Object Detection by Distributional Ranking\r\n",
"Guansong Pang,Self-Trained Deep Ordinal Regression for End-to-End Video Anomaly Detection\r\n",
"Xiaoyu Tao,Few-Shot Class-Incremental Learning\r\n",
"Enze Xie,PolarMask: Single Shot Instance Segmentation With Polar Representation\r\n",
"Chi Zhang,DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover’s Distance and Structured Classifiers\r\n",
"Xuangeng Chu,\"Detection in Crowded Scenes: One Proposal, Multiple Predictions\"\r\n",
"Sergey Zakharov,Autolabeling 3D Objects With Differentiable Rendering of SDF Shape Priors\r\n",
"Shiyin Zhang,Interactive Object Segmentation With Inside-Outside Guidance\r\n",
"Yaoyao Liu,Mnemonics Training: Multi-Class Incremental Learning Without Forgetting\r\n",
"Yecheng Lyu,Learning to Segment 3D Point Clouds in 2D Image Space\r\n",
"Marvin Eisenberger,Smooth Shells: Multi-Scale Shape Registration With Functional Maps\r\n",
"Yude Wang,Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation\r\n",
"Pedram Pad,Efficient Neural Vision Systems Based on Convolutional Image Acquisition\r\n",
"Zhiqiu Lin,Visual Chirality\r\n",
"Xing Xu,What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images\r\n",
"Scott Workman,Dynamic Traffic Modeling From Overhead Imagery\r\n",
"Vivien Sainte Fare Garnot,Satellite Image Time Series Classification With Pixel-Set Encoders and Temporal Self-Attention\r\n",
"Xi Zhang,DAVD-Net: Deep Audio-Aided Video Decompression of Talking Heads\r\n",
"Burak Uzkent,Learning When and Where to Zoom With Deep Reinforcement Learning\r\n",
"Minghao Xu,Cross-Domain Detection via Graph-Induced Prototype Alignment\r\n",
"Thomas Elsken,Meta-Learning of Neural Architectures for Few-Shot Learning\r\n",
"Jogendra Nath Kundu,Towards Inheritable Models for Open-Set Domain Adaptation\r\n",
"Jiteng Mu,Learning From Synthetic Animals\r\n",
"Han-Jia Ye,Distilling Cross-Task Knowledge via Relationship Matching\r\n",
"Ziwei Liu,Open Compound Domain Adaptation\r\n",
"Changqian Yu,Context Prior for Scene Segmentation\r\n",
"Marc Eder,Tangent Images for Mitigating Spherical Distortion\r\n",
"Tawfiq Salem,Learning a Dynamic Map of Visual Appearance\r\n",
"Wenbo Zheng,Webly Supervised Knowledge Embedding Model for Visual Reasoning\r\n",
"Shuhao Cui,Gradually Vanishing Bridge for Adversarial Domain Adaptation\r\n",
"Juan León Alcázar,Active Speakers in Context\r\n",
"Bowen Cheng,\"Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation\"\r\n",
"Yuenan Hou,Inter-Region Affinity Distillation for Road Marking Segmentation\r\n",
"Yu-Syuan Xu,Unified Dynamic Convolutional Network for Super-Resolution With Variational Degradations\r\n",
"Luca Bertinetto,Making Better Mistakes: Leveraging Class Hierarchies With Deep Networks\r\n",
"Jingwen Ye,Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN\r\n",
"Kunpeng Li,Screencast Tutorial Video Understanding\r\n",
"Yilun Chen,DSGN: Deep Stereo Geometry Network for 3D Object Detection\r\n",
"Jing Zhang,Weakly-Supervised Salient Object Detection via Scribble Annotations\r\n",
"Fengchun Qiao,Learning to Learn Single Domain Generalization\r\n",
"Xiaofeng Liu,Severity-Aware Semantic Segmentation With Reinforced Wasserstein Training\r\n",
"Aoxue Li,Boosting Few-Shot Learning With Adaptive Margin Loss\r\n",
"Irit Chelly,JA-POLS: A Moving-Camera Background Model via Joint Alignment and Partially-Overlapping Local Subspaces\r\n",
"Chaoxu Guo,AugFPN: Improving Multi-Scale Feature Learning for Object Detection\r\n",
"Maximilian Jaritz,xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation\r\n",
"Di Chen,Norm-Aware Embedding for Efficient Person Search\r\n",
"Qi Chen,Intelligent Home 3D: Automatic 3D-House Design From Linguistic Descriptions Only\r\n",
"Zhonghao Wang,Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation\r\n",
"Angtian Wang,Robust Object Detection Under Occlusion With Context-Aware CompositionalNets\r\n",
"Hui Chen,IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval\r\n",
"Shaobo Min,Domain-Aware Visual Bias Eliminating for Generalized Zero-Shot Learning\r\n",
"Yassine Ouali,Semi-Supervised Semantic Segmentation With Cross-Consistency Training\r\n",
"Debang Li,Learning to Learn Cropping Models for Different Aspect Ratio Requirements\r\n",
"Weiyao Wang,What Makes Training Multi-Modal Classification Networks Hard?\r\n",
"Zhihong Chen,Selective Transfer With Reinforced Transfer Network for Partial Domain Adaptation\r\n",
"Mostafa S. Ibrahim,Semi-Supervised Semantic Image Segmentation With Self-Correcting Networks\r\n",
"Ruimao Zhang,Exemplar Normalization for Learning Deep Representation\r\n",
"Mengshi Qi,Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation\r\n",
"Difei Gao,Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text\r\n",
"Rui Liu,StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching\r\n",
"Jiamin Wu,Self-Supervised Domain-Aware Generative Network for Generalized Zero-Shot Learning\r\n",
"Niels Jeppesen,Sparse Layered Graphs for Multi-Object Segmentation\r\n",
"Yongzhi Li,Visual-Semantic Matching by Exploring High-Order Attention and Distraction\r\n",
"Haiyong Jiang,End-to-End 3D Point Cloud Instance Segmentation Without Detection\r\n",
"Zhengxia Zou,Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images\r\n",
"Cristóbal Eyzaguirre,Differentiable Adaptive Computation Time for Visual Reasoning\r\n",
"Sean Moran,DeepLPF: Deep Local Parametric Filters for Image Enhancement\r\n",
"Yikai Wang,Instance Credibility Inference for Few-Shot Learning\r\n",
"Yi Tu,Learning From Web Data With Self-Organizing Memory Module\r\n",
"Zhongjie Yu,TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning\r\n",
"Zongyan Han,Learning the Redundancy-Free Features for Generalized Zero-Shot Object Recognition\r\n",
"Devendra Singh Chaplot,Neural Topological SLAM for Visual Navigation\r\n",
"Menglong Yang,WaveletStereo: Learning Wavelet Coefficients of Disparity Map in Stereo Matching\r\n",
"Xiaoyi Dong,Robust Superpixel-Guided Attentional Adversarial Attack\r\n",
"Yun-Hsuan Lin,BEDSR-Net: A Deep Shadow Removal Network From a Single Document Image\r\n",
"Kai Li,Cross-Domain Document Object Detection: Benchmark Suite and Method\r\n",
"Xu Cheng,Explaining Knowledge Distillation by Quantifying the Knowledge\r\n",
"Zhonghua Wu,Exploring Bottom-Up and Top-Down Cues With Attentive Learning for Webly Supervised Object Detection\r\n",
"Or Isaacs,Enhancing Generic Segmentation With Learned Region Representations\r\n",
"Ehsan Nezhadarya,Adaptive Hierarchical Down-Sampling for Point Cloud Classification\r\n",
"Alvin Wan,FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions\r\n",
"Myeongjin Kim,Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation\r\n",
"Mengmi Zhang,Putting Visual Object Recognition in Context\r\n",
"Ze Chen,SLV: Spatial Likelihood Voting for Weakly Supervised Object Detection\r\n",
"Jiwei Wei,Universal Weighting Metric Learning for Cross-Modal Matching\r\n",
"Wanli Peng,IDA-3D: Instance-Depth-Aware 3D Object Detection From Stereo Vision for Autonomous Driving\r\n",
"Jun Wei,Label Decoupling Framework for Salient Object Detection\r\n",
"Alasdair Tran,Transform and Tell: Entity-Aware News Image Captioning\r\n",
"Yang Liu,HAMBox: Delving Into Mining High-Quality Anchors on Face Detection\r\n",
"Jie Yang,Hierarchical Feature Embedding for Attribute Recognition\r\n",
"Zilong Zhong,Squeeze-and-Attention Networks for Semantic Segmentation\r\n",
"Sara Beery,Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection\r\n",
"Ali Varamesh,Mixture Dense Regression for Object Detection and Human Pose Estimation\r\n",
"Qi Zheng,Syntax-Aware Action Targeting for Video Captioning\r\n",
"Zijun Wei,Learning Visual Emotion Representations From Web Data\r\n",
"Shengjie Zhu,The Edge of Depth: Explicit Constraints Between Segmentation and Depth\r\n",
"Anthony Cioppa,A Context-Aware Loss Function for Action Spotting in Soccer Videos\r\n",
"Weituo Hao,Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-Training\r\n",
"Chung-Ching Lin,Video Instance Segmentation Tracking With a Modified VAE Architecture\r\n",
"Siyuan Li,Deformation-Aware Unpaired Image Translation for Pose Estimation on Laboratory Animals\r\n",
"Yaohui Cai,ZeroQ: A Novel Zero Shot Quantization Framework\r\n",
"Bo Yan,Disparity-Aware Domain Adaptation in Stereo Image Restoration\r\n",
"Heqian Qiu,Offset Bin Classification Network for Accurate Object Detection\r\n",
"Adnan Siraj Rakin,TBT: Targeted Neural Network Attack With Bit Trojan\r\n",
"Bowen Zhao,Maintaining Discrimination and Fairness in Class Incremental Learning\r\n",
"Yi Li,Background Data Resampling for Outlier-Aware Classification\r\n",
"Prasun Roy,STEFANN: Scene Text Editor Using Font Adaptive Neural Network\r\n",
"Haoran Zhou,Geometry and Learning Co-Supported Normal Estimation for Unstructured Point Cloud\r\n",
"Elias N. Zois,Sequential Motif Profiles and Topological Plots for Offline Signature Verification\r\n",
"Wending Yan,Optical Flow in Dense Foggy Scenes Using Semi-Supervised Learning\r\n",
"Chaoyi Lin,A Spatial RNN Codec for End-to-End Image Compression\r\n",
"Ziqi Zhang,Object Relational Graph With Teacher-Recommended Learning for Video Captioning\r\n",
"Hamid Reza Vaezi Joze,MMTM: Multimodal Transfer Module for CNN Fusion\r\n",
"Rohit Keshari,Generalized Zero-Shot Learning via Over-Complete Distribution\r\n",
"Xiang Li,Gait Recognition via Semi-supervised Disentangled Representation Learning to Identity and Covariate Features\r\n",
"Qizhu Li,Unifying Training and Inference for Panoptic Segmentation\r\n",
"Liang Du,Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection\r\n",
"Zheng Lin,Interactive Image Segmentation With First Click Attention\r\n",
"Yazhao Li,NETNet: Neighbor Erasing and Transferring Network for Better Single Shot Object Detection\r\n",
"Xinjiang Wang,Scale-Equalizing Pyramid Convolution for Object Detection\r\n",
"Lei Yang,Learning to Cluster Faces via Confidence and Connectivity Estimation\r\n",
"Yan Lu,Cross-Modality Person Re-Identification With Shared-Specific Feature Transfer\r\n",
"Ling Yang,DPGN: Distribution Propagation Graph Network for Few-Shot Learning\r\n",
"Suichan Li,Density-Aware Graph for Deep Semi-Supervised Visual Recognition\r\n",
"Moab Arar,Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation\r\n",
"Hai Phan,Binarizing MobileNet via Evolution-Based Searching\r\n",
"Jialian Wu,Temporal-Context Enhanced Detection of Heavily Occluded Pedestrians\r\n",
"Vacit Oguz Yazici,Orderless Recurrent Models for Multi-Label Classification\r\n",
"Ehsan Abbasnejad,Gold Seeker: Information Gain From Policy Distributions for Goal-Oriented Vision-and-Langauge Reasoning\r\n",
"Chen-Lin Zhang,Rethinking the Route Towards Weakly Supervised Object Localization\r\n",
"Kai Li,Adversarial Feature Hallucination Networks for Few-Shot Learning\r\n",
"Xin Sun,Conditional Gaussian Distribution Learning for Open Set Recognition\r\n",
"Hao Fang,Connect-and-Slice: An Hybrid Approach for Reconstructing 3D Objects\r\n",
"Yiluan Guo,Attentive Weights Generation for Few Shot Learning via Information Maximization\r\n",
"Bo Yan,Assessing Eye Aesthetics for Automatic Multi-Reference Eye In-Painting\r\n",
"Zhuo Chen,PuppeteerGAN: Arbitrary Portrait Animation With Semantic-Aware Appearance Transformation\r\n",
"Zhi Qiao,SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition\r\n",
"Yuwei Zhang,Texture and Shape Biased Two-Stream Networks for Clothing Classification and Attribute Recognition\r\n",
"Xiyang Luo,Distortion Agnostic Deep Watermarking\r\n",
"Bing Han,RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network\r\n",
"Yang Liu,BFBox: Searching Face-Appropriate Backbone and Feature Pyramid Network for Face Detector\r\n",
"Yuqi Yang,PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames\r\n",
"Jathushan Rajasegaran,iTAML: An Incremental Task-Agnostic Meta-learning Approach\r\n",
"Amit Dekel,Optimal least-squares solution to the hand-eye calibration problem\r\n",
"Bo Chen,MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices\r\n",
"Oytun Ulutan,VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions\r\n",
"Long Sha,End-to-End Camera Calibration for Broadcast Videos\r\n",
"Yang Zhong,Regularizing CNN Transfer Learning With Randomised Regression\r\n",
"Yang You,KeypointNet: A Large-Scale 3D Keypoint Dataset Aggregated From Numerous Human Annotations\r\n",
"Kaiwei Zeng,Hierarchical Clustering With Hard-Batch Triplet Loss for Person Re-Identification\r\n",
"Mingmin Zhen,Joint Semantic Segmentation and Boundary Detection Using Iterative Pyramid Contexts\r\n",
"Yu Qiao,Attention-Guided Hierarchical Structure Aggregation for Image Matting\r\n",
"Rongchang Xie,MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation\r\n",
"Avisek Lahiri,Prior Guided GAN Based Semantic Inpainting\r\n",
"Xun Xu,Weakly Supervised Semantic Point Cloud Segmentation: Towards 10× Fewer Labels\r\n",
"James Tu,Physically Realizable Adversarial Examples for LiDAR Object Detection\r\n",
"Hongxin Wei,Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization\r\n",
"Shaokai Ye,Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation\r\n",
"Canjie Luo,Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition\r\n",
"Nian Liu,Learning Selective Self-Mutual Attention for RGB-D Saliency Detection\r\n",
"Yangtao Zheng,Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation\r\n",
"Gabriela Csurka,Estimating Low-Rank Region Likelihood Maps\r\n",
"Egor Burkov,Neural Head Reenactment with Latent Pose Descriptors\r\n",
"K R Prajwal,Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis\r\n",
"Michael Tschannen,Self-Supervised Learning of Video-Induced Visual Invariances\r\n",
"Jan Svoboda,Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer\r\n",
"Florian Bernard,MINA: Convex Mixed-Integer Programming for Non-Rigid Shape Alignment\r\n",
"Xiang Li,Improving One-Shot NAS by Suppressing the Posterior Fading\r\n",
"Juan-Manuel Pérez-Rúa,Incremental Few-Shot Object Detection\r\n",
"Qi Chang,Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data\r\n",
"Yingwei Pan,Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation\r\n",
"Sukmin Yun,Regularizing Class-Wise Predictions via Self-Knowledge Distillation\r\n",
"Li Mi,Hierarchical Graph Attention Network for Visual Relationship Detection\r\n",
"Jaehyung Kim,M2m: Imbalanced Classification via Major-to-Minor Translation\r\n",
"Youngwan Lee,CenterMask: Real-Time Anchor-Free Instance Segmentation\r\n",
"Martin Sundermeyer,Multi-Path Learning for Object Pose Estimation Across Domains\r\n",
"Jiangpeng He,Incremental Learning in Online Scenario\r\n",
"Mengxue Li,Enhanced Transport Distance for Unsupervised Domain Adaptation\r\n",
"Francesca Babiloni,TESA: Tensor Element Self-Attention via Matricization\r\n",
"Donghang Li,Training a Steerable CNN for Guidewire Detection\r\n",
"Fengting Yang,Superpixel Segmentation With Fully Convolutional Networks\r\n",
"Koutilya PNVR,SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation\r\n",
"Shikai Chen,Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition\r\n",
"Ev Zisselman,Deep Residual Flow for Out of Distribution Detection\r\n",
"Shurui Gui,FeatureFlow: Robust Video Interpolation via Structure-to-Texture Generation\r\n",
"Arif Ahmed Sekh,Learning Nanoscale Motion Patterns of Vesicles in Living Cells\r\n",
"Yifei Huang,Improving Action Segmentation via Graph-Based Temporal Reasoning\r\n",
"Yunlong Yu,Episode-Based Prototype Generating Network for Zero-Shot Learning\r\n",
"Xinting Hu,Learning to Segment the Tail\r\n",
"Jonah Philion,Learning to Evaluate Perception Models Using Planner-Centric Metrics\r\n",
"Yan Luo,\"Where, What, Whether: Multi-Modal Learning Meets Pedestrian Detection\"\r\n",
"Tung Phan-Minh,CoverNet: Multimodal Behavior Prediction Using Trajectory Sets\r\n",
"Yukun Huang,Real-World Person Re-Identification via Degradation Invariance Learning\r\n",
"Zhezhi He,Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack\r\n",
"Stanislav Pidhorskyi,Adversarial Latent Autoencoders\r\n",
"Qiuyu Chen,Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment\r\n",
"Xinyue Wang,Deep Generative Model for Robust Imbalance Classification\r\n",
"Wanqing Zhao,Learning Deep Network for Detecting 3D Object Keypoints and 6D Poses\r\n",
"Hancheng Zhu,MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment\r\n",
"Leo Sampaio Ferraz Ribeiro,Sketchformer: Transformer-Based Representation for Sketched Structure\r\n",
"Sunghun Joung,Cylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation\r\n",
"Qi Cai,Learning a Unified Sample Weighting Network for Object Detection\r\n",
"Muhammad Zaigham Zaheer,Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm\r\n",
"Quentin Bammey,An Adaptive Neural Network for Unsupervised Mosaic Consistency Analysis in Image Forensics\r\n",
"Trevor W. Richardson,McFlow: Monte Carlo Flow Models for Data Imputation\r\n",
"Yu-Lun Liu,Learning to See Through Obstructions\r\n",
"Chao Fan,GaitPart: Temporal Part-Based Model for Gait Recognition\r\n",
"Trisha Mittal,EmotiCon: Context-Aware Multimodal Emotion Recognition Using Frege’s Principle\r\n",
"Vincent Jacquot,Can Deep Learning Recognize Subtle Human Activities?\r\n",
"Zelun Kong,PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving\r\n",
"Mirazul Haque,ILFO: Adversarial Attack on Adaptive Neural Networks\r\n",
"Osman Semih Kayhan,On Translation Invariance in CNNs: Convolutional Layers Can Exploit Absolute Spatial Location\r\n",
"Steven Liu,Diverse Image Generation via Self-Conditioned GANs\r\n",
"Xianglei Xing,Inducing Hierarchical Compositional Model by Sparsifying Generator Network\r\n",
"Rongjie Liu,CARP: Compression Through Adaptive Recursive Partitioning for Multi-Dimensional Images\r\n",
"Anuroop Sriram,GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction\r\n",
"Gabriel Bender,Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS\r\n",
"Xikun Zhang,Context Aware Graph Convolution for Skeleton-Based Action Recognition\r\n",
"Thiago M. Paixão,Fast(er) Reconstruction of Shredded Text Documents via Self-Supervised Deep Asymmetric Metric Learning\r\n",
"Luming Tang,Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition\r\n",
"Mete Kemertas,RankMI: A Mutual Information Maximizing Ranking Loss\r\n",
"Hyunjong Park,Learning Memory-Guided Normality for Anomaly Detection\r\n",
"Charles-Olivier Dufresne Camaro,Appearance Shock Grammar for Fast Medial Axis Extraction From Real Images\r\n",
"Minjie Cai,Generalizing Hand Segmentation in Egocentric Videos With Uncertainty-Guided Model Adaptation\r\n",
"Jaime Spencer,DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning\r\n",
"Anton Mitrokhin,Learning Visual Motion Segmentation Using Event Surfaces\r\n",
"Abduallah Mohamed,Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction\r\n",
"Bo Xu,Discriminative Multi-Modality Speech Recognition\r\n",
"Shihao Zhao,Clean-Label Backdoor Attacks on Video Recognition Models\r\n",
"Gilad Cohen,Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors\r\n",
"Matthias De Lange,Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem\r\n",
"Innfarn Yoo,GIFnets: Differentiable GIF Encoding Framework\r\n",
"Wenchao Du,Learning Invariant Representation for Unsupervised Image Restoration\r\n",
"Peyman Bateni,Improved Few-Shot Visual Classification\r\n",
"Nina Miolane,Learning Weighted Submanifolds With Variational Autoencoders and Riemannian Variational Autoencoders\r\n",
"Gordon Christie,Learning Geocentric Object Pose in Oblique Monocular Images\r\n",
"Chaoning Zhang,Understanding Adversarial Examples From the Mutual Influence of Images and Perturbations\r\n",
"Giannis Daras,Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models\r\n",
"Kentaro Wada,MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion\r\n",
"Geunseob Oh,HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting\r\n",
"Sen Deng,Detail-recovery Image Deraining via Context Aggregation Networks\r\n",
"Han Fu,MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model\r\n",
"Eun-Sol Kim,Hypergraph Attention Networks for Multimodal Learning\r\n",
"Deen Dayal Mohan,Moving in the Right Direction: A Regularization for Deep Metric Learning\r\n",
"Daniel Haase,Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets\r\n",
"Lourenço V. Pato,Seeing without Looking: Contextual Rescoring of Object Detections for AP Maximization\r\n",
"Runwu Zhou,End-to-End Adversarial-Attention Network for Multi-Modal Clustering\r\n",
"Erich Elsen,Fast Sparse ConvNets\r\n",
"Tianhong Li,Few Sample Knowledge Distillation for Efficient Network Compression\r\n",
"Michaël Ramamonjisoa,Predicting Sharp and Accurate Occlusion Boundaries in Monocular Depth Estimation Using Displacement Fields\r\n",
"Qinsong Li,Shape correspondence using anisotropic Chebyshev spectral CNNs\r\n",
"Zhichao Lu,RetinaTrack: Online Single Stage Joint Detection and Tracking\r\n",
"Mahdi Abavisani,Multimodal Categorization of Crisis Events in Social Media\r\n",
"Wenyu Han,SPARE3D: A Dataset for SPAtial REasoning on Three-View Line Drawings\r\n",
"Qiangpeng Yang,SwapText: Image Based Texts Transfer in Scenes\r\n",
"Mohamed Yousef,\"OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold\"\r\n",
"Martin Rünz,FroDO: From Detections to 3D Objects\r\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "ol9KfPHs-PRd",
"colab_type": "code",
"colab": {}
},
"source": [
"from google.colab import files\n",
"files.download('cvpr2020.csv')"
],
"execution_count": 0,
"outputs": []
}
]
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment