Showing 1–20 of 50 results
/ Date/ Name
Jan 31, 2021PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object DetectionAug 28, 2020PV-RCNN: The Top-Performing LiDAR-only Solutions for 3D Detection / 3D Tracking / Domain Adaptation of Waymo Open Dataset ChallengesSep 27, 2022Motion Transformer with Global Intention Localization and Local Movement RefinementJun 30, 2023MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention QueryingDec 11, 2018PointRCNN: 3D Object Proposal Generation and Detection from Point CloudJul 8, 2019From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation NetworkSep 20, 2022MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge -- Motion PredictionDec 31, 2019PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object DetectionFeb 13, 2020SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point CloudDec 31, 2020Voxel R-CNN: Towards High Performance Voxel-based 3D Object DetectionAug 15, 2021ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object DetectionApr 13, 2021Back-tracing Representative Points for Voting-based 3D Object Detection in Point CloudsJun 10, 2025TrajFlow: Multi-modal Motion Prediction via Flow MatchingMay 25, 2025DriveX: Omni Scene Modeling for Learning Generalizable World Knowledge in Autonomous DrivingFeb 3, 2026LIVE: Long-horizon Interactive Video World ModelingOct 3, 2025Memory Forcing: Spatio-Temporal Memory for Consistent Scene Generation on MinecraftApr 20, 2026OneDrive: Unified Multi-Paradigm Driving with Vision-Language-Action ModelsJan 15, 2023DSVT: Dynamic Sparse Voxel Transformer with Rotated SetsMay 30, 2022Towards Efficient 3D Object Detection with Knowledge DistillationOct 15, 2021Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation