Geometric Deep learning

README.md

1. Blog:
   1. Blog on Geoemtric Deep learning.
2. Thesis:
   1. Tulsiani Thesis
3. Paper:
   1. Unsupervised Learning of Depth and Ego-Motion from Video
   2. Multi-view Consistency as Supervisory Signal for Learning Shape and Pose Prediction
   3. Taking a Deeper Look at the Inverse Compositional Algorithm
   4. DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
   5. DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks
   6. UnDeepVO : Monocular Visual Odometry through Unsupervised Deep Learning
4. Researchers:
   1. Shubham Tulsiani
   2. Zhaoyang Lv
   3. Valentin Peretroukhin
   4. Niko Sünderhauf
   5. Michael Bloesch
   6. Andrew Davison
5. Papers with code:
   1. Visual Odometry
6. Registration:
   1. PointNetLK
   2. PointNet
7. Backend:
   1. Global Pose Estimation with an Attention-based Recurrent Network
   2. Pose Graph Optimization for Unsupervised Monocular Visual Odometry
8. Representation learning for SLAM:
   1. CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM
   2. SceneCode: Monocular Dense Semantic Reconstruction using Learned Encoded Scene Representations
9. Graph Networks:
   1. A Behavioral Approach to Visual Navigation with Graph Localization Networks
   2. VISUAL SEMANTIC NAVIGATION USING SCENE PRIORS
   3. Robot Navigation in Crowds by Graph Convolutional Networks with Attention Learned from Human Gaze