This is for all who wants to do research about 3D point cloud. Please send a PR (Pull request) if you find some interesting paper/ have a better way to organize. Thank you for the valuable contribution to the research community 😃
Prof Hee Lee's group [Video]
- [CVPR] RPM-Net: Robust Point Matching using Learned Features. [Code]
- [CVPR] SESS: Self-Ensembling Semi-Supervised 3D Object Detection. [Code][Video]
- [CVPR] Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x Fewer Labels [Code]
- [CVPR] Cascaded Refinement Network for Point Cloud Completion [Code]
- [Arxiv] PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
- [Arxiv] Pillar-based Object Detection for Autonomous Driving [Code]
- [Arxiv] An Analysis of SVD for Deep Rotation Estimation
- [Springer] Semi-supervised Representation Learning for 3D Point Clouds
- [Arxiv] Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds [Code]
- [Arxiv] Semi-supervised Representation Learning for 3D Point Clouds [Code][Review]
- [Arxiv] RangeNet++: Fast and Accurate LiDAR Semantic Segmentation [Code]
- [Arxiv]3D Multi-Object Tracking: A Baseline and New Evaluation Metrics [Code]
- [Arxiv] Center-based 3D Object Detection and Tracking [Code]
- [CVPR] Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud [Code]
- [Arxiv] 3DSSD: Point-based 3D Single Stage Object Detector [Code]
- [Arxiv] PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud [Code]
- [Arxiv] From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network [Code]
- [Arxiv] PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection [Code]
- [Arxiv] An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds
- [Code] Simpledet by Tusimple
- [Code] Pointnet_encoder_Foldingnet_decoder_quantization
- [Code] Det3d
- [Code] OpenPCDet
- [Code] PointRCNN + Image
- [Arxiv] Speed/accuracy trade-offs for modern convolutional object detectors