Stars
[ECCV 2024] The official implementation of DualBEV
Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.
[AAAI2024] Far3D: Expanding the Horizon for Surround-view 3D Object Detection
[IEEE T-PAMI 2023] Awesome BEV perception research and cookbook for all level audience in autonomous diriving
Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird's-Eye-View, such as DETR3D, BEVDet, BEVFormer, BEVDepth, UniAD
A tool for exploring each layer in a docker image
DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets(CVPR2023),vaymo vehicle 3D Object Detection(top2), waymo cyclist 3D Object Detection(top1),waymo pedestrian 3D Object Detection(top1)
[CVPR2023] Official Implementation of "DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets"
Awesome papers about Multi-Camera Semantic Occupancy Prediction, such as TPVFormer, OccFormer, Occ3D, OpenOccupancy
[ICCV 2023] Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)
Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
An open-source codebase for exploring autonomous driving pre-training
Maybe the first academic open work on stereo 3D SSC method with vision-only input.
[ECCV 2022 oral] Monocular 3D Object Detection with Depth from Motion
Vision-Centric BEV Perception: A Survey
[CVPR 2023] An academic alternative to Tesla's occupancy network for autonomous driving.
(CVPR 2021 & T-PAMI 2022) ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection & ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection
This is the code related to "Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds" (CVPR 2022).
Self-supervised method for scene-flow estimation of LiDAR point clouds. Method is trained and tested on the nuScenes and KITTI datasets in TensorFlow. (CVPR 2020)
FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation (ICRA 2021)
Submanifold sparse convolutional networks