Yin Zhou

papers

5,818

total citations

papers (21)

Scalability in Perception for Autonomous Driving: Waymo Open Dataset

CVPR 2020arXiv

3,690

citations

Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset

ICCV 2021arXiv

743

citations

MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion

CVPR 2023arXiv

231

citations

Offboard 3D Object Detection From Point Cloud Sequences

CVPR 2021arXiv

204

citations

NeRDi: Single-View NeRF Synthesis With Language-Guided Diffusion As General Image Priors

CVPR 2023arXiv

185

citations

SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation

ICCV 2021arXiv

169

citations

Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving

ICCV 2023arXiv

citations

RIDDLE: Lidar Data Compression With Range Image Deep Delta Encoding

CVPR 2022arXiv

citations

GINA-3D: Learning To Generate Implicit Neural Assets in the Wild

CVPR 2023arXiv

citations

Revisiting 3D Object Detection From an Egocentric Perspective

NEURIPS 2021arXiv

citations

Improving the Intra-Class Long-Tail in 3D Detection via Rare Example Mining

ECCV 2022arXiv

citations

MoST: Multi-Modality Scene Tokenization for Motion Prediction

CVPR 2024arXiv

citations

MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences

CVPR 2023arXiv

citations

3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels

CVPR 2023arXiv

citations

LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds

ECCV 2022arXiv

citations

LightLoc: Learning Outdoor LiDAR Localization at Light Speed

CVPR 2025arXiv

citations

RALoc: Enhancing Outdoor LiDAR Localization via Rotation Awareness

ICCV 2025

citations

Yin Zhou

papers (21)

Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset

MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion

Offboard 3D Object Detection From Point Cloud Sequences

NeRDi: Single-View NeRF Synthesis With Language-Guided Diffusion As General Image Priors

SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation

3D-MAN: 3D Multi-Frame Attention Network for Object Detection

SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving

Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving

LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds

Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving

RIDDLE: Lidar Data Compression With Range Image Deep Delta Encoding

GINA-3D: Learning To Generate Implicit Neural Assets in the Wild

Revisiting 3D Object Detection From an Egocentric Perspective

Improving the Intra-Class Long-Tail in 3D Detection via Rare Example Mining

MoST: Multi-Modality Scene Tokenization for Motion Prediction

MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences

3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels

LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds

LightLoc: Learning Outdoor LiDAR Localization at Light Speed

RALoc: Enhancing Outdoor LiDAR Localization via Rotation Awareness

papers (21)

Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset

MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion

Offboard 3D Object Detection From Point Cloud Sequences

NeRDi: Single-View NeRF Synthesis With Language-Guided Diffusion As General Image Priors

SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation

3D-MAN: 3D Multi-Frame Attention Network for Object Detection

SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving

Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving

LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds

Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving

RIDDLE: Lidar Data Compression With Range Image Deep Delta Encoding

GINA-3D: Learning To Generate Implicit Neural Assets in the Wild

Revisiting 3D Object Detection From an Egocentric Perspective

Improving the Intra-Class Long-Tail in 3D Detection via Rare Example Mining

MoST: Multi-Modality Scene Tokenization for Motion Prediction

MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences

3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels

LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds

LightLoc: Learning Outdoor LiDAR Localization at Light Speed

RALoc: Enhancing Outdoor LiDAR Localization via Rotation Awareness