Peidong Liu

Assistant Professor

Spatial Intelligence and Robotics Lab
Department of Artificial Intelligence
School of Engineering
Westlake University, Hangzhou, China
Email: liupeidong@westlake.edu.cn

Welcome to follow our latest research on: Twitter, Github, Zhihu !!

About

Dr. Peidong Liu is currently an Assistant Professor of Computer Science at Westlake University, Hangzhou, China. He got his PhD degree from the Department of Computer Science at ETH Zurich, under the supervision of Prof. Marc Pollefeys. He got both his master and bachelor degrees in Electrical Engineering from National University of Singapore. His research bridges 3D computer vision and robotics, focusing on visual spatial intelligence (SpatialAI) - developing algorithms that enable machines to perceive, understand, and interact with their 3D environment through visual data. Details are as follows:

  • Perception: 3D/4D reconstruction and generation;
  • Reasoning: 3D scene understanding and reasoning;
  • Action: 3D vision for robot;

Recent news

Jan 31, 2026 1 papers accepted by ICRA-2026. Congratulations to Huang Jian, Haotian and Xinhao!
Jan 27, 2026 2 papers accepted by ICLR-2026. Congratulations to Yiming, Bangyan and all other co-authors!
Nov 12, 2025 Congratulations to Bangyan and Peng Wang on being awarded the National Scholarship (国家奖学金) and Su Wu Scholarship (苏武奖学金), respectively!
Sep 18, 2025 3 papers (1 spotlight) accepted by NeurIPS-2025. Congratulations to Qi Xu, Dongxu, Xiang Liu, Peng Wang, Wenpu and Bangyan!
Sep 3, 2025 I will serve as an Area Chair for Conference on Computer Vision and Pattern Recognition (CVPR-2026)! Thanks for the invitation!

Current group members

Senior researchers:

  • Dongxu Wei: (Joined in June 2024) PhD from Zhejiang University

PhD students:

  • Zhangchi Huang (2025 fall intake): bachelor from Xi'an Jiaotong University (Qian Xuesen Honors College)
  • Zhenhua Du (2025 fall intake): bachelor and master from National University of Defense Technology
  • Chengrui Dong (2024 fall intake): bachelor student from Northwestern Polytechnical University
  • Yiming Chen (2024 fall intake): bachelor student from Tongji University
  • Lingzhe Zhao (2024 fall intake): bachelor from Tongji University
  • Bangyan Liao (2023 fall intake): bachelor from Hunan University
  • Peng Wang (2022 fall intake): bachelor and master from Huazhong Science and Technology University
  • Jian Huang (2022 fall intake): bachelor and master from Xi'an Jiao Tong University
  • Zhiqi Li (2022 fall intake): bachelor from Shanghai Jiao Tong University
  • Yunhao Li (2022 fall intake): bachelor from Xi'an Jiao Tong University, master from Northwestern University (US)

Adminstration assistant:

  • Ruijie Ma: bachelor and master from Xidian University

Internships and visiting students:

  • Xiang Liu: master student from ETH Zurich
  • Qi Xu: master student from Wuhan University
  • Wenpu Li: bachelor student from Guangdong University of Technology
  • Haotian Shen: bachelor student from Westlake University
  • Xinhao Lou: bachelor student from Westlake University

Selected publications

For more details, please refer to my Google Scholar page.
  1. ED-SLAM: Event-Depth Gaussian Splatting SLAM
    Jian Huang, Haotian Shen, Xinhao Lou, and Peidong Liu
    In International Conference on Robotics and Automation (ICRA) 2026
  2. Reasoning in Space via Grounding in the World
    Yiming Chen, Zekun Qi, Wenyao Zhang, Xin Jin, Li Zhang, and Peidong Liu
    In International Conference on Learning Representations (ICLR) 2026
  3. Neural Predictor-Corrector: Solving Homotopy Problems with Reinforcement Learning
    Jiayao Mai, Bangyan Liao, Zhenjun Zhao, Yingping Zeng, Haoang Li, Javier Civera, Tailin Wu, Yi Zhou, and Peidong Liu
    In International Conference on Learning Representations (ICLR) 2026
  4. SIU3R: Simultaneous Scene Understanding and 3D Reconstruction Beyond Feature Alignment
    Qi Xu, Dongxu Wei, Lingzhe Zhao, Wenpu Li, Zhangchi Huang, Shunping Ji, and Peidong Liu
    In Neural Information Processing Systems (NeurIPS) 2025
    Spotlight paper, (acceptance ratio: 3.1%)
  5. Styl3R: Instant 3D Stylization Reconstruction from Arbitrary Scenes and Styles
    Peng Wang, Xiang Liu, and Peidong Liu
    In Neural Information Processing Systems (NeurIPS) 2025
  6. E-MoFlow: Learning Egomotion and Optical Flow from Event Data via Implicit Regularization
    Wenpu Li, Bangyan Liao, Yi Zhou, Qi Xu, Pian Wan, and Peidong Liu
    In Neural Information Processing Systems (NeurIPS) 2025
  7. MBA-SLAM: Motion Blur Aware Dense Visual SLAM with Radiance Fields Representation
    Peng Wang*, Lingzhe Zhao*, Yin Zhang, Shiyu Zhao, and Peidong Liu
    Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) 2025
  8. CasualHDRSplat: Robust High Dynamic Range 3D Gaussian Splatting from Casually Captured Videos
    Shucheng Gong, Lingzhe Zhao, Wenpu Li, Hong Xie, Yin Zhang, Shiyu Zhao, and Peidong Liu
    In ACM International Conference on Multimedia (MM) 2025
  9. Omni-Scene: Omni-Gaussian Representation for Ego-Centric Sparse-View Scene Reconstruction
    Dongxu Wei, Zhiqi Li, and Peidong Liu
    In Computer Vision and Pattern Recognition (CVPR) 2025
  10. IncEventGS: Pose-Free Gaussian Splatting from a Single Event Camera
    Jian Huang, Chengrui Dong, Xuanhua Chen, and Peidong Liu
    In Computer Vision and Pattern Recognition (CVPR) 2025
    Highlights paper, (acceptance ratio: 3.1%)
  11. Convex Relaxation for Robust Vanishing Point Estimation in Manhattan World
    Bangyan Liao, Zhenjun Zhao, Haoang Li, Yi Zhou, Yingping Zeng, Hao Li, and Peidong Liu
    In Computer Vision and Pattern Recognition (CVPR) 2025
    Best Paper Finalist, Oral, 15 out of 13008 submissions
  12. MVControl: Controllable Text-to-3D Generation via Surface-Aligned Gaussian Splatting
    Zhiqi Li, Yiming Chen, Lingzhe Zhao, and Peidong Liu
    In International Conference on 3D Vision (3DV) 2025
  13. DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation
    Zhiqi Li*, Yiming Chen*, and Peidong Liu
    In Neural Information Processing Systems (NeurIPS) 2024
  14. BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splatting
    Lingzhe Zhao*, Peng Wang*, and Peidong Liu
    In European Conference on Computer Vision (ECCV) 2024
  15. BeNeRF: Neural Radiance Fields from a Single Blurry Image and Event Stream
    Wenpu Li*, Pian Wan*, Peng Wang*, Jinghang Li, Yi Zhou, and Peidong Liu
    In European Conference on Computer Vision (ECCV) 2024
  16. GlobalPointer: Large Scale Plane Adjustment with Bi-Convex Relaxation
    Bangyan Liao*, Zhenjun Zhao*, Lu Chen, Haoang Li, Daniel Cremers, and Peidong Liu
    In European Conference on Computer Vision (ECCV) 2024
  17. RSL-BA: Rolling Shutter Line Bundle Adjustment
    Yongcong Zhang*, Bangyan Liao*, Yifei Xue, Lu Chen, Peidong Liu, and Yizhen Lao
    In European Conference on Computer Vision (ECCV) 2024
  18. Motion and Structure from Event-based Normal Flow
    Zhongyang Ren*, Bangyan Liao*, Delei Kong, Jinghang Li, Peidong Liu, Laurent Kneip, Guillermo Gallego, and Yi Zhou
    In European Conference on Computer Vision (ECCV) 2024
  19. Event-Aided Time-To-Collision Estimation for Autonomous Driving
    Jinghang Li*, Bangyan Liao*, Xiuyuan Lu, Peidong Liu, Shaojie Shen, and Yi Zhou
    In European Conference on Computer Vision (ECCV) 2024
  20. Keypoint-Guided Efficient Pose Estimation and Domain Adaptation for Micro Aerial Vehicles
    Ye Zheng, Canlun Zheng, Jiahao Shen, Peidong Liu, and Shiyu Zhao
    IEEE Transactions on Robotics (T-RO) 2024
  21. SCINeRF: Neural Radiance Fields from a Snapshot Compressive Image
    Yunhao Li, Xiaodong Wang, Ping Wang, Xin Yuan, and Peidong Liu
    In Computer Vision and Pattern Recognition (CVPR) 2024
    Highlights paper (acceptance ratio: 2.8%)
  22. USB-NeRF: Unrolling Shutter Bundle Adjusted Neural Radiance Fields
    Moyang Li*, Peng Wang*, Lingzhe Zhao, Bangyan Liao, and Peidong Liu
    In International Conference on Learning Representations (ICLR) 2024
  23. BAD-NeRF: Bundle Adjusted Deblur Neural Radiance Fields
    Peng Wang, Lingzhe Zhao, Ruijie Ma, and Peidong Liu
    In Computer Vision and Pattern Recognition (CVPR) 2023
  24. MBA-VO: Motion Blur Aware Visual Odometry
    Peidong Liu, Xingxing Zuo, Viktor Larsson, and Marc Pollefeys
    In International Conference on Computer Vision (ICCV) 2021
    Oral presentation (acceptance ratio: 3%)
  25. Deep Shutter Unrolling Network
    Peidong Liu, Zhaopeng Cui, Viktor Larsson, and Marc Pollefeys
    In Computer Vision and Pattern Recognition (CVPR) 2020
  26. Self-Supervised Linear Motion Deblurring
    Peidong Liu, Joel Janai, Marc Pollefeys, Torsten Sattler, and Andreas Geiger
    In Robotics and Automation Letters (RA-L) 2020
  27. Project AutoVision: Localization and 3D Scene Perception for an Autonomous Vehicle with a Multi-Camera System
    Lionel Heng, Benjamin Choi, Zhaopeng Cui, Marcel Geppert, Sixing Hu, Benson Kuan, Peidong Liu, Rang Nguyen, Ye Chuan Yeo, Andreas Geiger, Gim Hee Lee, Marc Pollefeys, and Torsten Sattler
    In International Conference on Robotics and Automation (ICRA) 2019
  28. Efficient 2D-3D Matching for Multi-Camera Visual Localization
    Marcel Geppert, Peidong Liu, Zhaopeng Cui, Marc Pollefeys, and Torsten Sattler
    In International Conference on Robotics and Automation (ICRA) 2019
  29. Towards Robust Visual Odometry with a Multi-Camera System
    Peidong Liu, Marcel Geppert, Lionel Heng, Torsten Sattler, Andreas Geiger, and Marc Pollefeys
    In International Conference on Intelligent Robots and Systems (IROS) 2018
  30. Robust Dense Mapping for Large-Scale Dynamic Environments
    Ioan Andrei Bârsan, Peidong Liu, Marc Pollefeys, and Andreas Geiger
    In International Conference on Robotics and Automation (ICRA) 2018
  31. Direct Visual Odometry for a Fisheye-Stereo Camera
    Peidong Liu, Lionel Heng, Torsten Sattler, and Marc Pollefeys
    In International Conference on Intelligent Robots and Systems (IROS) 2017