Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous Driving Paper • 2405.05258 • Published May 8, 2024
Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Paper • 2507.05260 • Published Jul 7
An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models Paper • 2405.14870 • Published May 23, 2024
SuperFlow++: Enhanced Spatiotemporal Consistency for Cross-Modal Data Pretraining Paper • 2503.19912 • Published Mar 25
Point Transformer V3 Extreme: 1st Place Solution for 2024 Waymo Open Dataset Challenge in Semantic Segmentation Paper • 2407.15282 • Published Jul 21, 2024
FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation Paper • 2312.04484 • Published Dec 7, 2023 • 1
LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes Paper • 2501.04004 • Published Jan 7 • 1
LargeAD: Large-Scale Cross-Sensor Data Pretraining for Autonomous Driving Paper • 2501.04005 • Published Jan 7 • 1
4D Contrastive Superflows are Dense 3D Representation Learners Paper • 2407.06190 • Published Jul 8, 2024 • 1