3D Deep Learning works

• Taco S. Cohen, Spherical CNNs [ICLR 2018 Best paper]
• Learning SO(3) Equivariant Representations with Spherical CNNs [code]

• 3DShapeNet

• 3D-DenseNet
• [Voxnet]
• [3D-NIN, network in network]

• HVSMR
• BRATS Data

• [HeartSeg, 3D-FC-Densenet] [code]
• 3D-Unet
• PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation [code]
• PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space [code]

Data types: RGBD, Flow, Laser

• KITTI

• MV3D, Multi-View 3D Object Detection Network for Autonomous Driving [code]
• Avod, Joint 3D Proposal Generation and Object Detection from View Aggregation [code]
• F-PointNet, Frustum PointNets for 3D Object Detection from RGB-D Data
• VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

• CVPR2016 Tutorial: 3D Deep Learning with Marvin
• 3D Shape Retrieval
• C3D, website
• [Video Caffe(C3D)] [code]
• [DeepMedic, Brain Lesion Segmentation] [[code(https://github.com/Kamnitsask/deepmedic)]
• 3D Keypoint Detection and Feature Description

• util3d
• spectral-lib
• 3D-Caffe

• Learning 3D Object Orientations From Synthetic Images
• Read LSTM: A Search Space Odyssey and implement LSTM.
• Use Tree LSTM in place of LSTM. Paper Code Slides
• Learning 3D Object Orientations From Synthetic Images  - 3D Shape Segmentation with Projective Convolutional Networks. CVPR2017. Project Poster Presentation

• Antibody-supervised deep learning for quantification of tumor-infiltrating immune cells in hematoxylin and eosin stained breast cancer samples

• more usefull tools should be added in.

  • Read and process process data as needed by the network.
  • Read Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation and implement a GRU.