Zhou, Yin

27 publications

TMLR 2025 EMMA: End-to-End Multimodal Model for Autonomous Driving Jyh-Jing Hwang, Runsheng Xu, Hubert Lin, Wei-Chih Hung, Jingwei Ji, Kristy Choi, Di Huang, Tong He, Paul Covington, Benjamin Sapp, Yin Zhou, James Guo, Dragomir Anguelov, Mingxing Tan

CVPR 2025 LightLoc: Learning Outdoor LiDAR Localization at Light Speed Wen Li, Chen Liu, Shangshu Yu, Dunqiang Liu, Yin Zhou, Siqi Shen, Chenglu Wen, Cheng Wang

ICCV 2025 RALoc: Enhancing Outdoor LiDAR Localization via Rotation Awareness Yuyang Yang, Wen Li, Sheng Ao, Qingshan Xu, Shangshu Yu, Yu Guo, Yin Zhou, Siqi Shen, Cheng Wang

ECCV 2024 3D Open-Vocabulary Panoptic Segmentation with 2D-3D Vision-Language Distillation Zihao Xiao, Longlong Jing, Shangxuan Wu, Alex Zihao Zhu, Jingwei Ji, Chiyu Max Jiang, Wei-Chih Hung, Thomas Funkhouser, Weicheng Kuo, Anelia Angelova, Yin Zhou, Shiwei Sheng

CVPR 2024 MoST: Multi-Modality Scene Tokenization for Motion Prediction Norman Mu, Jingwei Ji, Zhenpei Yang, Nate Harada, Haotian Tang, Kan Chen, Charles R. Qi, Runzhou Ge, Kratarth Goel, Zoey Yang, Scott Ettinger, Rami Al-Rfou, Dragomir Anguelov, Yin Zhou

NeurIPS 2024 SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Chiyu Max Jiang, Yijing Bai, Andre Cornman, Christopher Davis, Xiukun Huang, Hong Jeon, Sakshum Kulshrestha, John Lambert, Shuangyu Li, Xuanyu Zhou, Carlos Fuertes, Chang Yuan, Mingxing Tan, Yin Zhou, Dragomir Anguelov

CVPR 2023 3D Human Keypoints Estimation from Point Clouds in the Wild Without Human Labels Zhenzhen Weng, Alexander S. Gorban, Jingwei Ji, Mahyar Najibi, Yin Zhou, Dragomir Anguelov

CVPR 2023 GINA-3D: Learning to Generate Implicit Neural Assets in the Wild Bokui Shen, Xinchen Yan, Charles R. Qi, Mahyar Najibi, Boyang Deng, Leonidas Guibas, Yin Zhou, Dragomir Anguelov

CVPR 2023 MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences Yingwei Li, Charles R. Qi, Yin Zhou, Chenxi Liu, Dragomir Anguelov

CVPR 2023 MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion Chiyu “Max” Jiang, Andre Cornman, Cheolho Park, Benjamin Sapp, Yin Zhou, Dragomir Anguelov

CVPR 2023 NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors Congyue Deng, Chiyu “Max” Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas Guibas, Dragomir Anguelov

ICCV 2023 Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov

CoRL 2022 HUM3DIL: Semi-Supervised Multi-Modal 3D HumanPose Estimation for Autonomous Driving Andrei Zanfir, Mihai Zanfir, Alex Gorban, Jingwei Ji, Yin Zhou, Dragomir Anguelov, Cristian Sminchisescu

ECCV 2022 Improving the Intra-Class Long-Tail in 3D Detection via Rare Example Mining Chiyu Max Jiang, Mahyar Najibi, Charles R. Qi, Yin Zhou, Dragomir Anguelov

ECCV 2022 LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds Minghua Liu, Yin Zhou, Charles R. Qi, Boqing Gong, Hao Su, Dragomir Anguelov

ECCV 2022 LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov

ECCV 2022 Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov

CVPRW 2022 Multi-Modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving Jingxiao Zheng, Xinwei Shi, Alexander N. Gorban, Junhua Mao, Yang Song, Charles R. Qi, Ting Liu, Visesh Chari, Andre Cornman, Yin Zhou, Congcong Li, Dragomir Anguelov

CVPR 2022 RIDDLE: LiDAR Data Compression with Range Image Deep Delta Encoding Xuanyu Zhou, Charles R. Qi, Yin Zhou, Dragomir Anguelov

CVPR 2021 3D-MAN: 3D Multi-Frame Attention Network for Object Detection Zetong Yang, Yin Zhou, Zhifeng Chen, Jiquan Ngiam

ICCV 2021 Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Ben Sapp, Charles R. Qi, Yin Zhou, Zoey Yang, Aurélien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov

CVPR 2021 Offboard 3D Object Detection from Point Cloud Sequences Charles R. Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, Dragomir Anguelov

NeurIPS 2021 Revisiting 3D Object Detection from an Egocentric Perspective Boyang Deng, Charles R Qi, Mahyar Najibi, Thomas Funkhouser, Yin Zhou, Dragomir Anguelov

ICCV 2021 SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation Qiangeng Xu, Yin Zhou, Weiyue Wang, Charles R. Qi, Dragomir Anguelov

CoRL 2019 End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds Yin Zhou, Pei Sun, Yu Zhang, Dragomir Anguelov, Jiyang Gao, Tom Ouyang, James Guo, Jiquan Ngiam, Vijay Vasudevan

CVPR 2014 Classification of Histology Sections via Multispectral Convolutional Sparse Coding Yin Zhou, Hang Chang, Kenneth Barner, Paul Spellman, Bahram Parvin

ICCV 2013 Stacked Predictive Sparse Coding for Classification of Distinct Regions in Tumor Histopathology Hang Chang, Yin Zhou, Paul Spellman, Bahram Parvin