Yin Zhou
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
38
Venues
12
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
38 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | LightLoc: Learning Outdoor LiDAR Localization at Light Speed. | Wen Li, Chen Liu, Shangshu Yu, Dunqiang Liu, Yin Zhou, Siqi Shen, Chenglu Wen, Cheng Wang |
| 2025 | ICCV | RALoc: Enhancing Outdoor LiDAR Localization via Rotation Awareness. | Yuyang Yang, We Li, Sheng Ao, Qingshan Xu, Shangshu Yu, Yu Guo, Yin Zhou, Siqi Shen, Cheng Wang |
| 2025 | ICIP | Visual Encoders for Generalized Chromosome Recognition. | Ruijia Chang, Tao Zhou, Suncheng Xiang, Yujia Wang, Kui Su, Yin Zhou, Dahong Qian, Jun Wang |
| 2024 | CVPR | 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 |
| 2024 | ECCV | 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 A. Funkhouser, Weicheng Kuo, Anelia Angelova, Yin Zhou, Shiwei Sheng |
| 2024 | ICRA | STT: Stateful Tracking with Transformers for Autonomous Driving. | Longlong Jing, Ruichi Yu, Xu Chen, Zhengli Zhao, Shiwei Sheng, Colin Graber, Qi Chen, Qinru Li, Shangxuan Wu, Han Deng, Sangjin Lee, Chris Sweeney, Qiurui He, Wei-Chih Hung, Tong He, Xingyi Zhou, Farshid Moussavi, James Guo, Yin Zhou, Mingxing Tan, Weilong Yang, Congcong Li |
| 2023 | APWEB | MCNet: A Multi-scale and Cascade Network for Semantic Segmentation of Remote Sensing Images. | Yin Zhou, Tianyi Li, Xianju Li, Ruyi Feng |
| 2023 | CVPR | 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 J. Guibas, Dragomir Anguelov |
| 2023 | CVPR | MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion. | Chiyu Max Jiang, Andre Cornman, Cheolho Park, Benjamin Sapp, Yin Zhou, Dragomir Anguelov |
| 2023 | CVPR | MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences. | Yingwei Li, Charles R. Qi, Yin Zhou, Chenxi Liu, Dragomir Anguelov |
| 2023 | CVPR | GINA-3D: Learning to Generate Implicit Neural Assets in the Wild. | Bokui Shen, Xinchen Yan, Charles R. Qi, Mahyar Najibi, Boyang Deng, Leonidas J. Guibas, Yin Zhou, Dragomir Anguelov |
| 2023 | CVPR | 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 |
| 2023 | ICCV | 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 |
| 2022 | CoRL | HUM3DIL: Semi-supervised Multi-modal 3D HumanPose Estimation for Autonomous Driving. | Andrei Zanfir, Mihai Zanfir, Alexander N. Gorban, Jingwei Ji, Yin Zhou, Dragomir Anguelov, Cristian Sminchisescu |
| 2022 | CVPR | 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 |
| 2022 | CVPR | RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding. | Xuanyu Zhou, Charles R. Qi, Yin Zhou, Dragomir Anguelov |
| 2022 | ECCV | 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 |
| 2022 | ECCV | 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 |
| 2022 | ECCV | LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds. | Minghua Liu, Yin Zhou, Charles R. Qi, Boqing Gong, Hao Su, Dragomir Anguelov |
| 2022 | ECCV | Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving. | Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov |
| 2021 | CVPR | Offboard 3D Object Detection From Point Cloud Sequences. | Charles R. Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, Dragomir Anguelov |
| 2021 | CVPR | 3D-MAN: 3D Multi-Frame Attention Network for Object Detection. | Zetong Yang, Yin Zhou, Zhifeng Chen, Jiquan Ngiam |
| 2021 | ICCV | 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, Aurelien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov |
| 2021 | ICCV | SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation. | Qiangeng Xu, Yin Zhou, Weiyue Wang, Charles R. Qi, Dragomir Anguelov |
| 2020 | CVPR | Scalability in Perception for Autonomous Driving: Waymo Open Dataset. | Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, Dragomir Anguelov |
| 2020 | CVPR | SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving. | Zhenpei Yang, Yuning Chai, Dragomir Anguelov, Yin Zhou, Pei Sun, Dumitru Erhan, Sean Rafferty, Henrik Kretzschmar |
| 2020 | SEKE | Deep Hashing with Large Batch Training for Cross-modal Retrieval. | Xuewang Zhang, Yin Zhou |
| 2019 | CoRL | 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 |
| 2019 | ICRA | MVX-Net: Multimodal VoxelNet for 3D Object Detection. | Vishwanath A. Sindagi, Yin Zhou, Oncel Tuzel |
| 2018 | CVPR | VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection. | Yin Zhou, Oncel Tuzel |
| 2016 | EMNLP | Emotion Distribution Learning from Texts. | Deyu Zhou, Xuan Zhang, Yin Zhou, Quan Zhao, Xin Geng |
| 2014 | CVPR | Classification of Histology Sections via Multispectral Convolutional Sparse Coding. | Yin Zhou, Hang Chang, Kenneth E. Barner, Paul T. Spellman, Bahram Parvin |
| 2013 | CISS | High-speed structured light scanning system and 3D gestural point cloud recognition. | Yin Zhou, Kai Liu, Jinglun Gao, Kenneth E. Barner, Fouad E. Kiamilev |
| 2013 | ICASSP | Locality preserving KSVD for nonlinear manifold learning. | Yin Zhou, Jinglun Gao, Kenneth E. Barner |
| 2013 | ICASSP | Non-rigid 3D shape recognition via dictionary learning. | Yin Zhou, Kai Liu, Kenneth E. Barner |
| 2013 | ICCV | Stacked Predictive Sparse Coding for Classification of Distinct Regions in Tumor Histopathology. | Hang Chang, Yin Zhou, Paul T. Spellman, Bahram Parvin |
| 2013 | IECON | A universal LED driver adaptive to multi-topologies based on energy-harvesting system. | Yuhua Fang, Mingyang Chen, Fenjie Yuan, Menglian Zhao, Yin Zhou, Xiaobo Wu |
| 2012 | ICIP | View: Visual Information Extraction Widget for improving chart images accessibility. | Jinglun Gao, Yin Zhou, Kenneth E. Barner |