Yuenan Hou

21

Papers

114

Total Citations

Papers (21)

Point Cloud Pre-training with Diffusion Models

OccMamba: Semantic Occupancy Prediction with State Space Models

TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation

WildRefer: 3D Object Localization in Large-scale Dynamic Scenes with Multi-modal Visual Data and Natural Language

Semi-supervised 3D Object Detection with PatchTeacher and PillarMix

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

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

Learning Lightweight Lane Detection CNNs by Self Attention Distillation

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

See More and Know More: Zero-shot Point Cloud Segmentation via Multi-modal Visual Data

Rethinking Range View Representation for LiDAR Segmentation

Human-centric Scene Understanding for 3D Large-scale Scenarios

Mind the Gap in Distilling StyleGANs

Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection

SCPNet: Semantic Scene Completion on Point Cloud

Frozen CLIP Transformer Is an Efficient Point Cloud Encoder

Inter-Region Affinity Distillation for Road Marking Segmentation

STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes

Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation

CluB: Cluster Meets BEV for LiDAR-Based 3D Object Detection

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