← Authors

Yin Zhou

29 papers · 2013–2025 · 6 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (12) 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (39) πŸ‘₯ Mega-Team (23) 🧬 Topic Evolution 🀝 Dynamic Duo (21) πŸ”¬ Deep Specialist (15) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (8) πŸ’Ž Century Club (29) πŸ—ƒοΈ Keyword Collector (111) πŸ“ˆ Trend Setter ⚑ Prolific Year (6)

Conferences

CVPR (14) ECCV (5) ICCV (5) CORL (2) NIPS (2) EMNLP (1)

Top co-authors

Dragomir Anguelov (21) Charles R. Qi (13) Mahyar Najibi (7) Jingwei Ji (6) Pei Sun (6) Scott Ettinger (5) Jiquan Ngiam (4) Xinchen Yan (4) Yuning Chai (3) Vijay Vasudevan (3)

Keywords

autonomous driving (12) point cloud (7) 3d object detection (7) diffusion model (4) semi-supervised learning (2) feature learning (2) autonomous vehicle (2) motion prediction (2) scene coordinate regression (2) object detection (2) image generation (2) unsupervised learning (2) neural radiance field (2) lidar localization (2) trajectory prediction (2) motion forecasting (2) depth estimation (1) multi-view fusion (1) transformer architecture (1) multi-modal learning (1)

Papers

RALoc: Enhancing Outdoor LiDAR Localization via Rotation Awareness ICCV 2025
LightLoc: Learning Outdoor LiDAR Localization at Light Speed CVPR 2025
MoST: Multi-Modality Scene Tokenization for Motion Prediction CVPR 2024
SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout NIPS 2024
3D Open-Vocabulary Panoptic Segmentation with 2D-3D Vision-Language Distillation ECCV 2024
NeRDi: Single-View NeRF Synthesis With Language-Guided Diffusion As General Image Priors CVPR 2023
MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences CVPR 2023
MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion CVPR 2023
3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels CVPR 2023
GINA-3D: Learning To Generate Implicit Neural Assets in the Wild CVPR 2023
Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving ICCV 2023
RIDDLE: Lidar Data Compression With Range Image Deep Delta Encoding CVPR 2022
Improving the Intra-Class Long-Tail in 3D Detection via Rare Example Mining ECCV 2022
LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds ECCV 2022
Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving ECCV 2022
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds ECCV 2022
HUM3DIL: Semi-supervised Multi-modal 3D HumanPose Estimation for Autonomous Driving CORL 2022
SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation ICCV 2021
Offboard 3D Object Detection From Point Cloud Sequences CVPR 2021
3D-MAN: 3D Multi-Frame Attention Network for Object Detection CVPR 2021
Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset ICCV 2021
Revisiting 3D Object Detection From an Egocentric Perspective NIPS 2021
Scalability in Perception for Autonomous Driving: Waymo Open Dataset CVPR 2020
SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving CVPR 2020
End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds CORL 2019
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection CVPR 2018
Emotion Distribution Learning from Texts EMNLP 2016
Classification of Histology Sections via Multispectral Convolutional Sparse Coding CVPR 2014
Stacked Predictive Sparse Coding for Classification of Distinct Regions in Tumor Histopathology ICCV 2013