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

Aug 22, 2025 I will serve as an Area Chair for International Conference on Learning Representations (ICLR-2026)! Thanks for the recommendation!
Aug 4, 2025 Our paper on “MBA-SLAM: Motion Blur Aware Dense Visual SLAM with Radiance Fields Representation” is accepted by Transactions on Pattern Analysis and Machine Intelligence (T-PAMI). Congratulations to Peng Wang, Lingzhe and all other co-authors!
May 7, 2025 Our paper on “Convex Relaxation for Robust Vanishing Point Estimation in Manhattan World” is recommended as Best Paper Award Candidate (15 out of 13008 submissions) by Conference on Computer Vision and Pattern Recognition (CVPR)! Thanks to the program committee, and congratulations to Bangyan and all other co-authors!
Apr 8, 2025 We have 3 papers accepted by Conference on Computer Vision and Pattern Recognition (CVPR) (1 oral and 1 spotlight). Congratulations to Dongxu, Bangyan, Huang Jian and all other amazing collaborators!
Mar 18, 2025 I will serve as an Associate Editor for IROS-2025. 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
  • Junze Xie: bachelor student from Princeton University

Selected publications

For more details, please refer to my Google Scholar page.
  1. 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
  2. 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
  3. 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
  4. 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%)
  5. 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
  6. 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
  7. 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
  8. BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splatting
    Lingzhe Zhao*, Peng Wang*, and Peidong Liu
    In European Conference on Computer Vision (ECCV) 2024
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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%)
  16. 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
  17. 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
  18. 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%)
  19. Deep Shutter Unrolling Network
    Peidong Liu, Zhaopeng Cui, Viktor Larsson, and Marc Pollefeys
    In Computer Vision and Pattern Recognition (CVPR) 2020
  20. Self-Supervised Linear Motion Deblurring
    Peidong Liu, Joel Janai, Marc Pollefeys, Torsten Sattler, and Andreas Geiger
    In Robotics and Automation Letters (RA-L) 2020
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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