|
I am a postdoctoral researcher at University of Zaragoza, working with Javier Civera. I received my PhD from Chinese University of Hong Kong (CUHK), under the supervision of Ben M. Chen. My current research focuses on geometric modeling and optimization in 3D computer vision, aiming to develop globally optimal and learning-augmented solutions for problems such as camera geometry estimation, Structure-from-Motion, SLAM, and visual localization. My long-term research goal is to build intelligent visual systems that combine geometric reasoning, optimization, and continual learning to perceive and understand complex, dynamic 3D environments with high reliability and interpretability. Email / Google Scholar / LinkedIn / Twitter / Bluesky / GitHub |
|
  |
Bangyan Liao*, Zhenjun Zhao*, Haoang Li, Yi Zhou, Yingping Zeng, Hao Li, Peidong Liu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 (Oral, Best Paper Award Candidate, top 0.48%) (* equal contribution) paper | slides | poster | code A globally optimal and outlier-robust method for vanishing point (VP) estimation in a Manhattan world, using convex relaxation techniques. |
 |
Shaocheng Yan, Yiming Wang, Kaiyan Zhao, Pengcheng Shi, Zhenjun Zhao, Yongjun Zhang, Jiayuan Li IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 paper | poster | code A learnable sampling probability distribution for matches in robust estimation, no supervision and reinforcement-inspired. |
 |
Bangyan Liao*, Zhenjun Zhao*, Lu Chen, Haoang Li, Daniel Cremers, Peidong Liu European Conference on Computer Vision (ECCV), 2024 (* equal contribution) paper | project page | slides | video | poster | code A globally optimal and efficient large-scale plane adjustment, using alternating minimization and convex relaxation techniques. |
 |
Johan Edstedt, Georg Bökman, Zhenjun Zhao IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR) Workshop on Image Matching: Local Features & Beyond, 2024 paper | slides | code An improved keypoint detector built on top of DeDoDe. |
 |
Zhenjun Zhao IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024 paper | project page | slides | video | code A simple yet both efficient and effective motion blur aware local feature detector. |
 |
Zhenjun Zhao, Ben M. Chen Chinese Control Conference (CCC), 2023 paper | code A novel benchmark for the evaluation of the initialization of visual-inertial odometry (VIO). |
 |
Haoang Li, Ji Zhao, Jean-Charles Bazin, Pyojin Kim, Kyungdon Joo, Zhenjun Zhao, Yun-Hui Liu IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 paper A novel structural model called Hong Kong world to describe the structured scenes with vertical, horizontal and sloping dominant directions. |
 |
Junjie Wen, Jinqiang Cui, Zhenjun Zhao, Ruixin Yan, Zhi Gao, Lihua Dou, Ben M. Chen IEEE International Conference on Robotics and Automation (ICRA), 2023 paper | poster | code A novel UIE framework combining both synthetic and real data under the guidance of the revised underwater image formation model and DA strategies. |
|
Co-supervisor, Undergraduate Final Year Project, 2019-2020
Co-supervisor, MSc Project, 2019-2020 Teaching Assistant, Multivariable Calculus for Engineers, Spring 2021 Teaching Assistant, Complex Variables for Engineers, Fall 2020 Teaching Assistant, Probability and Statistics for Engineers, Spring 2020 Teaching Assistant (Lead), Introduction to Control Systems, Fall 2019 |
|
|
template adapted from this awesome website |