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4D Radar Object Detection for Autonomous Driving in Various Weather Conditions
A codebase for point cloud scene flow estimation research. Latest works: TeFlow(CVPR'26), DeltaFlow(NeurIPS'25), HiMo(T-RO'25), VoteFlow(CVPR'25), Flow4D(RA-L'25), SSF(ICRA'25), SeFlow(ECCV'24), De…
[NeurIPS 2024] RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar
🌷 TULIP: Transformer for Upsampling of LiDAR Point Clouds (CVPR 2024)
Simulation-based Lidar Super-resolution for Ground Vehicles
[ECCV 2024 Oral] Official code of "Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather".
[ECCV 2022] PillarNet: Real-Time and High-Performance Pillar-based 3D Object Detection
Code for "Object as Query: Lifting any 2D Object Detector to 3D Detection"
[ECCV 2024] Ray Denoising (RayDN): Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection
This repository is an official implementation of HVDetFusion
This repository contains the PyTorch implementation of the CVPR'2024 paper (Highlight), IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection.
[CVPR 2024] RCBEVDet: Radar-camera Fusion in Bird’s Eye View for 3D Object Detection
EA-LSS: Edge-aware Lift-splat-shot Framework for 3D BEV Object Detection
[ECCV'24] SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving
A beautiful, simple, clean, and responsive Jekyll theme for academics
ALIKED: A Lighter Keypoint and Descriptor Extraction Network via Deformable Transformation
[ICCV 2023 Oral] Game-theoretic modeling and learning of Transformer-based interactive prediction and planning
[ICCV & CVPR Workshop] Learning-enabled Interactive Prediction and Planning Framework for Autonomous Vehicles
[CoRL'23] Parting with Misconceptions about Learning-based Vehicle Motion Planning
[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
[CVPR 2023] ReasonNet: End-to-End Driving with Temporal and Global Reasoning
Argoverse 2: Next generation datasets for self-driving perception and forecasting.