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 and Prof. Andreas Geiger. He obtained both his master and bachelor degrees in Electrical Engineering from the National University of Singapore. His research interests are as follows:

  • 3D Computer Vision: visual odometry, vision-based localization, SLAM, 3D reconstruction, 3D generative modeling (i.e., 3D AIGC) etc.;
  • 3D Vision+X: interdisciplinary research by applying 3D vision techniques to other areas.

Research interests

3D Computer vision; Robotic 3D perception; 3D deep learning and its applications in computer vision, life science and other disciplines.

Recent news

Jul 2, 2024 I will serve as an area chair for International Conference on 3D Vision (3DV-2025). Thanks for the invitation.
Jul 2, 2024 We have 6 papers accepted by European Conference on Computer Vision (ECCV). Congratulations to Bangyan, Peng Wang, Lingzhe, Pian Wan, Wenpu and all other amazing collaborators!
May 16, 2024 We have one paper accepted by IEEE Transactions on Robotics (T-RO). Congratulations to Ye Zheng and other co-authors!
Jan 17, 2024 Our paper on “SCINeRF: Neural Radiance Fields from a Snapshot Compressive Image” is accepted as a Highlight paper (acceptance rate 2.8%) by CVPR-2024. Congratulations to Yunhao, Xiaodong and other co-authors!
Jan 17, 2024 Our paper on “USB-NeRF: Unrolling Shutter Bundle Adjusted Neural Radiance Fields” is accepted by ICLR-2024. Congratulations to Moyang, Peng, Lingzhe and Bangyan!

Current group members

Senior researchers:

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

PhD students:

  • 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:

Internships and visiting students:

  • Yiming Chen: bachelor student from Tongji University
  • Wenpu Li: bachelor student from Guangdong University of Technology
  • Chengrui Dong: bachelor student from Northwestern Polytechnical 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. BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splatting
    Lingzhe Zhao, Peng Wang, and Peidong Liu
    In European Conference on Computer Vision (ECCV) 2024
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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%)
  9. 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
  10. 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
  11. ET3D: Efficient Text-to-3D Generation via Multi-view Distillation
    Yiming Chen, Zhiqi Li, and Peidong Liu
    In arxiv 2023
  12. MVControl: Adding Conditional Control to Multi-view Diffusion for Controllable Text-to-3D Generation
    Zhiqi Li, Yiming Chen, Lingzhe Zhao, and Peidong Liu
    In arxiv 2023
  13. 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%)
  14. Deep Shutter Unrolling Network
    Peidong Liu, Zhaopeng Cui, Viktor Larsson, and Marc Pollefeys
    In Computer Vision and Pattern Recognition (CVPR) 2020
  15. Self-Supervised Linear Motion Deblurring
    Peidong Liu, Joel Janai, Marc Pollefeys, Torsten Sattler, and Andreas Geiger
    In Robotics and Automation Letters (RA-L) 2020
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. Search and Rescue Using Multiple Drones in Post-Disaster Situation
    Jin Q Cui, Swee King Phang, Kevin ZY Ang, Fei Wang, Xiangxu Dong, Yijie Ke, Shupeng Lai, Kun Li, Xiang Li, Jing Lin, Peidong Liu, Tao Pang, Kangli Wang, Zhaolin Yang, Feng Lin, and Ben M Chen
    Unmanned Systems 2016
  22. Development of an Unmanned Aerial Vehicle for Rooftop Landing and Surveilliance
    Kun Li, Peidong Liu, Tao Pang, Zhaoling Yang, and Benmei Chen
    In International Conference on Unmanned Aircraft Systems (ICUAS) 2015
  23. A Robust Real Time Vision System for Autonomous Cargo Transfer by an Unmanned Helicopter
    Shiyu Zhao, Zhangyuan Hu, Mingfeng Yin, Kevin ZY Ang, Peidong Liu, Fei Wang, Xiangxu Dong, Feng Lin, Ben M Chen, and Tong H Lee
    IEEE Transactions on Industrial Electronics 2015
  24. Development of an Unmanned Helicopter for Vertical Replenishment
    Fei Wang, Peidong Liu, Shiyu Zhao, Benmei Chen, Swee King Phang, Shupeng Lai, Tao Pang, Biao Wang, Chenxiao Cai, and Tong H Lee
    Unmanned Systems 2015
  25. Guidance, Navigation and Control of an Unmanned Helicopter for Automatic Cargo Transportation
    Fei Wang, Peidong Liu, Shiyu Zhao, Benmei Chen, Swee King Phang, Shupeng Lai, Tong H Lee, and Chenxiao Cai
    In Chinese Control Conference 2014
  26. Autonomous Navigation of UAV in Forest
    Jinqiang Cui, Shupeng Lai, Xiangxu Dong, Peidong Liu, Benmei Chen, and Tongheng Lee
    In International Conference on Unmanned Aircraft Systems (ICUAS) 2014
  27. Development of a Comprehensive Software System for Cargo Transportation by Unmanned Helicopter
    Peidong Liu, Xiangxu Dong, Fei Wang, and Benmei Chen
    In International Conference on Intelligent Unmanned Systems 2014
  28. Development of an Enhanced Ground Control System for Unmanned Aerial Vehicles
    Peidong Liu, Xiangxu Dong, Benmei Chen, and Tongheng Lee
    In International Conference on Engineering and Applied Science 2013
  29. Large Scale Wireless Indoor Localization by Clustering and Extreme Leaerning Machine
    Wendong Xiao, Peidong Liu, Weeseng Soh, and Guangbin Huang
    In International Conference on Information Fusion 2012
  30. Extreme Learning Machine for Wireless Indoor Localization
    Wendong Xiao, Peidong Liu, Weeseng Soh, and Yunye Jin
    In International Conference on Information Processing in Sensor Networks 2012