[ICCV2021] Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving

"Improving 3D Object Detection with Channel-wise Transformer", ICCV2021 accept!

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning

Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)

Trajectory Prediction with Noisy Topometric Map for Autonomous Navigation

[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting

SQN in Tensorflow (Arxiv'2021)

Group-Free 3D Object Detection via Transformers

a general-purpose Transformer based vision backbone

SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud, CVPR 2021.

Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection, CVPR2021

SWA Object Detection

Geometric Deep Learning Extension Library for PyTorch

Deep Learning on 3D Object Detection for Automatic Plug-in Charging Using a Mobile Manipulator

PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!

Code for paper <PointContrast: Unsupervised Pretraining for 3D Point Cloud Understanding>

Powerful and efficient Computer Vision Annotation Tool (CVAT)

Web labeling tool for bitmap images and point clouds

PyTorch Extension Library of Optimized Scatter Operations

Spatial Sparse Convolution in PyTorch

PyTorch Extension Library of Optimized Graph Cluster Algorithms