Hongbin Zha
Hongbin Zha is a computer vision professor at Peking University who directs the university's Key Laboratory of Machine Perception and Intelligence. He earned a Ph.D. in electrical engineering from Kyushu University in 1990, joined Kyushu University as an associate professor in 1991, and became a professor at Peking University in 2000. There he became Vice Dean of the School of EECS in 2002, received the Second Prize of National Technical Invention in 2011, and served as General Chair of ACCV 2010. Papers he coauthored on learning-based visual odometry and active neural mapping appeared at CVPR 2019, CVPR 2020, ICCV 2023 and CVPR 2024. As of October 2026, he is a professor in Peking University's School of Intelligence Science and Technology and leads the Digital Longmen Grottoes project.
- Now at
- Peking University
- Badges
Timeline
-
1983–1990
Hefei degree and Kyushu PhD
He earns a B.Sc. from Hefei University of Technology in 1983. In 1990, he completes a Ph.D. in electrical engineering at Kyushu University in Japan.
-
1991–1999
Kyushu University and a Taylor Award
After working as a research associate at Kyushu Institute of Technology, he joins Kyushu University as an associate professor in 1991. In 1999, he is a visiting professor at the Centre for Vision, Speech, and Signal Processing at the University of Surrey and receives the IEEE Systems, Man, and Cybernetics Society's Franklin V. Taylor Award.
-
2000–2007
Professor at Peking University
He becomes a professor at the Key Lab on Machine Perception (MOE) of Peking University in 2000. In 2002, he becomes Vice Dean of the School of EECS, and in 2007, Director of the Key Lab of Machine Perception (MOE).
-
2009–2011
Ministry and national prizes
The Ministry of Public Security gives him its Second Prize of Scientific and Technological Progress in 2009. In 2010, he wins the First Prize of Ministry of Education Technical Invention and the best paper award from EuroMed. In 2011, he receives the Second Prize of National Technical Invention.
-
2010–2016
General chair of ACCV
He serves as General Chair of ACCV 2010 and 3DIMPVT 2011, and as Area Chair of ICCV 2011. He also serves as General Chair of CVM 2012 and ACCV 2016.
-
2019–2020
Deep visual odometry at CVPR
In 2019, he coauthors Beyond Tracking with Fei Xue and colleagues, a CVPR paper that adds Memory and Refining components to learning-based visual odometry. In 2020, he coauthors a CVPR paper with Shunkai Li, Xin Wang and others that proposes an online meta-learning algorithm so visual odometry networks adapt to new environments in a self-supervised manner.
-
2023–2025
Active mapping and Adaptive VIO
In 2023, he coauthors Active Neural Mapping with Zike Yan and Haoxiang Yang, an online active mapping system built on a coordinate-based implicit neural representation. In 2024, he coauthors Adaptive VIO, a monocular visual-inertial odometry method that combines online continual learning with nonlinear optimization. In 2025, he coauthors Proactive Scene Decomposition and Reconstruction, an online approach that uses human-object interactions to disassemble and reconstruct an environment.
-
As of October 2026
Professor and key lab director
He is a professor in Peking University's School of Intelligence Science and Technology, director of the Key Laboratory of Machine Perception and Intelligence of the Ministry of Education, and a Distinguished Professor under the Changjiang Scholars Program. From 2011 to 2019, he sits on the 6th Expert Consultation Committee of the Information Science Department of the National Natural Science Foundation of China. He leads the Digital Longmen Grottoes project.
Career
- Since 2000Peking UniversityProfessor, Vice Dean
- 2011–2019National Natural Science Foundation of ChinaCommittee Member
- 1999University of SurreyVisiting Professor
- Until 1991Kyushu Institute of TechnologyResearch Associate
- 1991–1999Kyushu UniversityAssociate Professor
Education
- 1990Kyushu UniversityPhD
- 1983Hefei University of TechnologyB.Sc.
Sources and credits
Photo: We have no published photo of Hongbin Zha yet. Send us a free-licensed photo.



