Dr. Peidong Liu obtained both his Bachelor and Master degrees from the National University of Singapore (majored in Electrical Engineering) in 2012 and 2015 respectively. After that, he joined the Computer Vision and Geometry group (CVG) at ETH Zurich as a PhD student. He obtained his PhD degree from the Department of Computer Science, ETH Zurich in 2021. He then joined the School of Engineering, Artificial Intelligence Division at Westlake University as an Assistant Professor, and leads the Computer Vision and Geometric Learning lab (CVGL) independently. Dr. Liu has received several awards from international robotic competitions and academic conference. For example, the first prize in the International Micro Aerial Vehicle Competition, the second prize in the International UAV Innovation Grand Prix, Dean’s list from the National University of Singapore and the Guan Zhao-zhi best paper award.

Dr. Peidong Liu’s research work mainly lies at the intersection of robotics and 3D computer vision, with the applications to robotics, autonomous driving, virtual reality and augmented reality etc. His recent research mainly focuses on developing robust visual localization and mapping algorithms to enable mobile agents know where they are and what surround them, under challenging real world conditions. As his future research interests, Dr. Liu aims to incorporate machine learning techniques (i.e. mainly deep neural networks) to those 3D visual perception problems to further improve their performance, especially under extremely challenging conditions. He would also like to transfer the knowledge in geometric deep learning for 3D computer vision problems, to the areas of life science and other related disciplines. In summary, the research interests of CVGL will focus on the areas of: 1): 3D Computer Vision; 2) Robotic Perception; 3) Geometric Deep Learning and its applications in 3D computer vision, life science and other disciplines.

We have several open positions for PhD students, Research assistants, Internships (minimum 3 months) and Visiting students!! The salary and allowance are quite competitive! If you have interests, please send your CV to liupeidong@westlake.edu.cn!

1. Peidong Liu, Xingxing Zuo, Viktor Larsson and Marc Pollefeys，MBA-VO: Motion Blur Aware Visual Odometry, In International Conference on Computer Vision (ICCV), 2021, Oral presentation (acceptance ratio: 3%)

2. Peidong Liu, Zhaopeng Cui, Viktor Larsson and Marc Pollefeys，Deep Shutter Unrolling Network, In Computer Vision and Pattern Recognition (CVPR), 2020

3. Peidong Liu, Joel Janai, Marc Pollefeys, Torsten Sattler, and Andreas Geiger，Self-Supervised Linear Motion Deblurring, In Robotics and Automation Letters (RA-L), 2020

4. 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，Project AutoVision: Localization and 3D Scene Perception for an Autonomous Vehicle with a Multi-Camera System, In International Conference on Robotics and Automation (ICRA), 2019

5. Marcel Geppert, Peidong Liu, Zhaopeng Cui, Marc Pollefeys, and Torsten Sattler，Efficient 2D-3D Matching for Multi-Camera Visual Localization, In International Conference on Robotics and Automation (ICRA), 2019

6. Peidong Liu, Marcel Geppert, Lionel Heng, Torsten Sattler, Andreas Geiger, and Marc Pollefeys，Towards Robust Visual Odometry with a Multi-Camera System, In International Conference on Intelligent Robots and Systems (IROS), 2018

7. Ioan Andrei Bârsan, Peidong Liu, Marc Pollefeys, and Andreas Geiger，Robust Dense Mapping for Large-Scale Dynamic Environments, In International Conference on Robotics and Automation (ICRA), 2018

8. Peidong Liu, Lionel Heng, Torsten Sattler, and Marc Pollefeys，Direct Visual Odometry for a Fisheye-Stereo Camera, In International Conference on Intelligent Robots and Systems (IROS), 2017