Yuenan Hou

papers

1,429

total citations

papers (20)

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

CVPR 2023arXiv

150

citations

Inter-Region Affinity Distillation for Road Marking Segmentation

CVPR 2020arXiv

136

citations

SCPNet: Semantic Scene Completion on Point Cloud

CVPR 2023arXiv

110

citations

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

ICCV 2023arXiv

citations

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

ECCV 2022arXiv

citations

Point Cloud Pre-training with Diffusion Models

CVPR 2024arXiv

citations

STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes

CVPR 2022arXiv

citations

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

ICCV 2023arXiv

citations

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

ICCV 2023arXiv

citations

Frozen CLIP Transformer Is an Efficient Point Cloud Encoder

AAAI 2024arXiv

citations

OccMamba: Semantic Occupancy Prediction with State Space Models

CVPR 2025arXiv

citations

Mind the Gap in Distilling StyleGANs

ECCV 2022arXiv

citations

TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation

CVPR 2024arXiv

citations

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

ECCV 2024arXiv

citations

Semi-supervised 3D Object Detection with PatchTeacher and PillarMix

AAAI 2024arXiv

citations

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

NEURIPS 2023

citations

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

NEURIPS 2023

citations

Yuenan Hou

papers (20)

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

Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation

Rethinking Range View Representation for LiDAR Segmentation

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

Inter-Region Affinity Distillation for Road Marking Segmentation

SCPNet: Semantic Scene Completion on Point Cloud

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

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

Point Cloud Pre-training with Diffusion Models

STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes

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

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

Frozen CLIP Transformer Is an Efficient Point Cloud Encoder

OccMamba: Semantic Occupancy Prediction with State Space Models

Mind the Gap in Distilling StyleGANs

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

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

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

papers (20)

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

Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation

Rethinking Range View Representation for LiDAR Segmentation

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

Inter-Region Affinity Distillation for Road Marking Segmentation

SCPNet: Semantic Scene Completion on Point Cloud

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

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

Point Cloud Pre-training with Diffusion Models

STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes

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

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

Frozen CLIP Transformer Is an Efficient Point Cloud Encoder

OccMamba: Semantic Occupancy Prediction with State Space Models

Mind the Gap in Distilling StyleGANs

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

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

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