Peidong Liu

Assistant Professor

Computer Vision and Geometric Learning lab (CVGL)
Artificial Intelligence and Data Science (AI) Division
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 the Westlake University, Hangzhou, China. He obtained his PhD degree from the Department of Computer Science at ETH Zurich, under the supervision of Prof. Marc Pollefeys. He obtained both his master and bachelor degrees in Electrical Engineering from the 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 humanoid robot;

Recent news

Mar 18, 2025 I will serve as an Associate Editor for IROS-2025. Thanks for the invitation!
Feb 27, 2025 We have 3 papers accepted by Conference on Computer Vision and Pattern Recognition (CVPR). Congratulations to Dongxu, Bangyan, Huang Jian and all other amazing collaborators!
Dec 25, 2024 We are looking for talented individuals to work on 3D Vision + Humanoid robot at the postdoc, PhD and internship levels. If you are interested, please drop me an email!
Nov 7, 2024 Our paper on “MVControl: Controllable Text-to-3D Generation via Surface-Aligned Gaussian Splatting” is accepted by 3DV-2025. Congratulations to Zhiqi, Yiming and Lingzhe!
Sep 26, 2024 Our paper on “DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation” is accepted by NeurIPS-2024. Congratulations to Zhiqi and Yiming!

Current group members

Senior researchers:

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

PhD students:

  • Chengrui Dong: bachelor student from Northwestern Polytechnical University
  • Yiming Chen: bachelor student from Tongji University
  • Lingzhe Zhao: 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)

Research assistants:

  • Ruijie Ma: bachelor and master from Xidian University
  • Wenpu Li: bachelor student from Guangdong University of Technology

Internships and visiting students:

  • Xuanhua Chen: Master student from Northeastern University
  • Hao Li: bachelor student from Shandong University
  • Shucheng Gong: Master student from Wuhan University
  • Xiang Liu: Master student from ETH Zurich

Past students

  • Zhenjun Zhao: Researcher in Zhejiang Lab.
  • Pian Wan: Master student in EPFL
  • Moyang Li: Master student in ETH Zurich
  • Jing Wu: Internship student from Imperial College, May 2023 - Sep 2023, Now PhD student in University of Oxford
  • Xingyi Chen: Research assistant from Tongji University, 2022-2023, Now in Hongkong University
  • Ruichen Bao: Internship from Zhejiang University (2022 Summer)
  • Yuanhao Huang, “Self-Supervised Single Image Super-Resolution for Satellite Image”, Nov 2019-May 2020, Now Algorithm Engineer in MEGVII (旷视)
  • Kailin Huang, "Dense Object SLAM", Apr 2018-Oct 2018, Now Computer Vision Engineer in FixPosition Inc, Zurich
  • Andrei Barsan, "Robust Dense Mapping for Large-Scale Dynamic Environments", Feb 2017-Aug 2017, Now PhD student in University of Toronto
  • Xinyuan Yu, "Stereo Camera Based Large-Scale Semantic Mapping", Dec 2016-Jun 2017, Now PhD student in National University of Singapore

Selected publications

For more details, please refer to my Google Scholar page.
  1. 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
  2. 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
  3. 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
    Full review score paper
  4. 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
  5. 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
  6. BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splatting
    Lingzhe Zhao*, Peng Wang*, and Peidong Liu
    In European Conference on Computer Vision (ECCV) 2024
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
    Highlight paper (acceptance ratio: 2.8%)
  14. 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
  15. 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
  16. 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%)
  17. Deep Shutter Unrolling Network
    Peidong Liu, Zhaopeng Cui, Viktor Larsson, and Marc Pollefeys
    In Computer Vision and Pattern Recognition (CVPR) 2020
  18. Self-Supervised Linear Motion Deblurring
    Peidong Liu, Joel Janai, Marc Pollefeys, Torsten Sattler, and Andreas Geiger
    In Robotics and Automation Letters (RA-L) 2020
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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