Youquan Liu

12

Papers

39

Total Citations

Papers (12)

Multi-Space Alignments Towards Universal LiDAR Segmentation

Perspective-Invariant 3D Object Detection

CLIP2Scene: Towards Label-Efficient 3D Scene Understanding by CLIP

SCPNet: Semantic Scene Completion on Point Cloud

LoGoNet: Towards Accurate 3D Object Detection With Local-to-Global Cross-Modal Fusion

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

Rethinking Range View Representation for LiDAR Segmentation

UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase

OpenESS: Event-based Semantic Scene Understanding with Open Vocabularies

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Towards Label-free Scene Understanding by Vision Foundation Models

RangePerception: Taming LiDAR Range View for Efficient and Accurate 3D Object Detection