Yuenan Hou
23 papers · 2019–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (39) π Academic Marathon (6) π Conference Polyglot (5) π§ Keyword Pioneer
π
Academic Marathon
(6)
πΊοΈ
Taxonomy Completionist
(39)
π¬
Deep Specialist
(11)
π€
Dynamic Duo
(11)
π
Keyword Champion
(3)
β‘
Prolific Year
(9)
π
Century Club
(22)
ποΈ
Keyword Collector
(91)
π
Conference Pioneer
π₯
Unstoppable
(5)
Conferences
CVPR (9)
ICCV (5)
AAAI (4)
ECCV (3)
NIPS (2)
Top co-authors
Research topics
Keywords
point cloud
(10)
autonomous driving
(8)
semantic segmentation
(6)
knowledge distillation
(6)
3d object detection
(5)
3d vision
(4)
multi-modal learning
(4)
multi-modal fusion
(3)
lidar segmentation
(3)
point cloud segmentation
(2)
lidar semantic segmentation
(2)
range view
(2)
transfer learning
(2)
3d scene understanding
(2)
multimodal learning
(2)
zero-shot learning
(2)
point cloud processing
(2)
self-supervised learning
(1)
object detection
(1)
semi-supervised learning
(1)
Papers
RacketVision: A Multiple Racket Sports Benchmark for Unified Ball and Racket Analysis
AAAI 2026
OccMamba: Semantic Occupancy Prediction with State Space Models
CVPR 2025
Semi-supervised 3D Object Detection with PatchTeacher and PillarMix
AAAI 2024
TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation
CVPR 2024
Frozen CLIP Transformer Is an Efficient Point Cloud Encoder
AAAI 2024
Point Cloud Pre-training with Diffusion Models
CVPR 2024
WildRefer: 3D Object Localization in Large-scale Dynamic Scenes with Multi-modal Visual Data and Natural Language
ECCV 2024
RangePerception: Taming LiDAR Range View for Efficient and Accurate 3D Object Detection
NIPS 2023
See More and Know More: Zero-shot Point Cloud Segmentation via Multi-modal Visual Data
ICCV 2023
UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase
ICCV 2023
LoGoNet: Towards Accurate 3D Object Detection With Local-to-Global Cross-Modal Fusion
CVPR 2023
CluB: Cluster Meets BEV for LiDAR-Based 3D Object Detection
NIPS 2023
Human-centric Scene Understanding for 3D Large-scale Scenarios
ICCV 2023
Rethinking Range View Representation for LiDAR Segmentation
ICCV 2023
CLIP2Scene: Towards Label-Efficient 3D Scene Understanding by CLIP
CVPR 2023
SCPNet: Semantic Scene Completion on Point Cloud
CVPR 2023
STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes
CVPR 2022
Mind the Gap in Distilling StyleGANs
ECCV 2022
Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection
ECCV 2022
Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation
CVPR 2022
Inter-Region Affinity Distillation for Road Marking Segmentation
CVPR 2020
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks
AAAI 2019
Learning Lightweight Lane Detection CNNs by Self Attention Distillation
ICCV 2019