Zhenjun Zhao (赵祯俊)
I am a postdoctoral researcher at University of Zaragoza, working with Javier Civera.
I received my PhD from the 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.
News
- 02/2026 Our paper ULF-Loc is accepted to CVPR 2026! Our paper AdaGaR is accepted to CVPR 2026 Findings!
- 01/2026 Our paper BlurPoint is accepted to ICRA 2026!
- 01/2026 Our paper NPC is accepted to ICLR 2026!
- 11/2025 Our paper SGS is accepted to WACV 2026!
- 07/2025 Our paper SLAM-X is accepted to ACM MM 2025!
Research
AdaGaR: Adaptive Gabor Representation for Dynamic Scene Reconstruction
Findings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR Findings), 2026
A unified framework for reconstructing dynamic 3D scenes from monocular video by combining Adaptive Gabor Representation with Cubic Hermite Splines and temporal curvature regularization.
Neural Predictor-Corrector: Solving Homotopy Problems with Reinforcement Learning
International Conference on Learning Representations (ICLR), 2026
· (* equal contribution; † project lead)
The first unified framework for homotopy methods across robust optimization, global optimization, polynomial root-finding, and sampling, using reinforcement learning to automatically learn efficient solver policies.
Surgical Gaussian Surfels: Highly Accurate Real-time Surgical Scene Rendering using Gaussian Surfels
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2026
A point-primitive-based rendering technique that combines surfels with 3D Gaussian Splatting to achieve high-fidelity reconstruction of dynamic surgical scenes.
SLAM-X: Generalizable Dynamic Removal for NeRF and Gaussian Splatting SLAM
ACM International Conference on Multimedia (ACM MM), 2025
· (* equal contribution)
A plug-and-play module for dynamic scene handling across diverse SLAM architectures.
TurboReg: TurboClique for Robust and Efficient Point Cloud Registration
IEEE/CVF International Conference on Computer Vision (ICCV), 2025
A highly efficient and robust point cloud registration method, supporting both CPU and GPU platforms.
STG-Avatar: Animatable Human Avatars via Spacetime Gaussian
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025
· (* equal contribution)
3DGS-based framework for high-fidelity animatable human avatar reconstruction.
Convex Relaxation for Robust Vanishing Point Estimation in Manhattan World
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
· Oral & Best Paper Award Candidate (top 0.48%)
· (* equal contribution)
A globally optimal and outlier-robust method for vanishing point estimation in a Manhattan world, using convex relaxation techniques.
HeMoRa: Unsupervised Heuristic Consensus Sampling for Robust Point Cloud Registration
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
A learnable sampling probability distribution for matches in robust estimation, supervision-free and reinforcement-inspired.
GlobalPointer: Large-Scale Plane Adjustment with Bi-Convex Relaxation
European Conference on Computer Vision (ECCV), 2024
· (* equal contribution)
A globally optimal and efficient large-scale plane adjustment, using alternating minimization and convex relaxation techniques.
DeDoDe v2: Analyzing and Improving the DeDoDe Keypoint Detector
IEEE/CVF CVPR Workshop on Image Matching: Local Features & Beyond, 2024
An improved keypoint detector built on top of DeDoDe.
BALF: Simple and Efficient Blur Aware Local Feature Detector
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
A simple yet efficient and effective motion blur aware local feature detector.
Benchmark for Evaluating Initialization of Visual-Inertial Odometry
Chinese Control Conference (CCC), 2023
A novel benchmark for the evaluation of visual-inertial odometry (VIO) initialization.
Hong Kong World: Leveraging Structural Regularity for Line-based SLAM
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
A novel structural model to describe structured scenes with vertical, horizontal, and sloping dominant directions.
SyreaNet: A Physically Guided Underwater Image Enhancement Framework Integrating Synthetic and Real Images
IEEE International Conference on Robotics and Automation (ICRA), 2023
A novel UIE framework combining synthetic and real data guided by the revised underwater image formation model and domain adaptation strategies.
Teaching
- 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
Academic Services
- Conference Reviewer: CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, ICRA, BMVC, 3DV, WACV
- Journal Reviewer: TPAMI, IJCV