Published over 40 papers in international journals and conferences such as IEEE TIP/TCSVT/TCYB, ISPRS P&RS, CVPR, ICCV, ECCV, AAAI, IROS, and 3DV. His main work has been implemented and open-sourced by OpenMVG and TheiaSfM. He received the 2024 CAA Science and Technology Progress Award, the 2024 CCF-CV Service Contribution Scholar Title, and the Outstanding Project Title of the CCF-DiDi Gaia Young Scholar Research Fund.
Research Experience
Since November 2019, Associate Researcher at the Institute of Automation, Chinese Academy of Sciences; July 2016 to October 2019, Assistant Researcher at the Institute of Automation, Chinese Academy of Sciences.
Education
2011-09 to 2016-07, Ph.D. in Engineering, Institute of Automation, Chinese Academy of Sciences; 2007-09 to 2011-07, Bachelor of Engineering, South China University of Technology.
Background
Associate Researcher and Graduate Supervisor at the Institute of Automation, Chinese Academy of Sciences. His research focuses on 3D computer vision theory and applications, including large-scale 3D scene reconstruction and 3D environmental perception for robots.
Miscellany
Welcomes outstanding students (interns or recommended graduate students) interested in 3D computer vision theory and applications to join his team.