Postdoctoral Researcher at City University of Hong Kong
Zhiwei Zhong
Zhiwei Zhong received his Ph.D. from the Faculty of Computing, Harbin Institute of Technology (HIT), supervised by Professor Xianming Liu and Professor Debin Zhao. He is currently a postdoctoral researcher at City University of Hong Kong (CityU) under the supervision of Professor Shiqi Wang. His research focuses on computer vision and image processing, especially image restoration, guided image super-resolution, depth map super-resolution, and deep learning. He welcomes research collaborations and academic discussions; please feel free to contact him at zhwzhong.cs@gmail.com.
News
- 2026.06 One paper, "Event-driven Motion Deblurring via Trajectory-based Kernel Reconstruction", has been accepted by ECCV 2026.
- 2026.06 We achieved 2nd place in Track 2 at the IEEE/CVF PBVS 2026 Thermal Image Super-Resolution Challenge.
- 2026.05 One paper, "Dual Graph Regularized Deep Unfolding Network for Guided Depth Map Super-Resolution", has been accepted by IEEE CVPR 2026.
- 2025.06 One paper, "Dual-Level Cross-Modality Neural Architecture Search for Guided Image Super-Resolution", has been accepted by IEEE TPAMI.
- 2025.06 We achieved 1st place in Track 2-x8 PSNR at the IEEE CVPR 2025 PBVS Thermal Image Super-Resolution Challenge.
- 2024.06 We achieved 1st place in Track 1 and Track 2 at the IEEE CVPR 2024 PBVS Thermal Image Super-Resolution Challenge.
- 2023.06 We achieved 1st place in Track 1 and Track 2 at the IEEE CVPR 2023 PBVS Thermal Image Super-Resolution Challenge.
Selected Publications
First-author and primary research works are listed below.
Event-driven Motion Deblurring via Trajectory-based Kernel Reconstruction
A physically grounded event-driven framework that reconstructs trajectory-based blur kernels for non-uniform motion deblurring.
Dual Graph Regularized Deep Unfolding Network for Guided Depth Map Super-Resolution
Efficiently unfolds graph optimization into a deep neural network for guided depth map super-resolution.
Dual-Level Cross-Modality Neural Architecture Search for Guided Image Super-Resolution
The first neural architecture search method for guided depth map super-resolution.
Guided Depth Map Super-Resolution: A Survey
A comprehensive survey and benchmark for guided depth map super-resolution.
Deep Attentional Guided Image Filtering
A learning-based multi-scale image filtering framework for guided image filtering.
High-Resolution Depth Maps Imaging via Attention-Based Hierarchical Multi-Modal Fusion
An attention-based hierarchical multi-modal fusion network for guided depth map super-resolution.
Selected Competitions
IEEE CVPR 2026 PBVS Thermal Image Super-Resolution Challenge - Track 2
IEEE CVPR 2025 PBVS Thermal Image Super-Resolution Challenge - Track 2
IEEE CVPR 2024 PBVS Thermal Image Super-Resolution Challenge - Track 1
IEEE CVPR 2024 PBVS Thermal Image Super-Resolution Challenge - Track 2
IEEE CVPR 2023 PBVS Thermal Image Super-Resolution Challenge - Track 1
IEEE CVPR 2023 PBVS Thermal Image Super-Resolution Challenge - Track 2
ACM ICMR 2021 Real DSR Challenge - Winner
The original certificate contains both Stage 1 and Stage 2 award pages.
Honors and Awards
- 2023 Heilongjiang Provincial Outstanding Ph.D. Graduate.
- 2023 HIT Outstanding Ph.D. Graduate.
- 2023 HIT Outstanding Ph.D. Thesis Nomination (Top 10%).
- 2022 Tencent Scholarship.
- 2018 National Scholarship.
- 2017 Heilongjiang Provincial Outstanding Student.
Professional Services
- Reviewer for IEEE TPAMI, IEEE TIP, IEEE TMM, IEEE TCSVT, IEEE TETCI, ISPRS Journal of Photogrammetry and Remote Sensing, Pattern Recognition, Knowledge-Based Systems, CVPR, ICCV, ECCV, NeurIPS, ACM MM, and AAAI.
Work Experience
- 2023.12 - (now), Postdoc Research, Department of Computer Science, City University of Hong Kong (CityU), HK, China.
Education
- 2017.09 - 2023.09, Ph.D., School of Computer Science and Technology, Harbin Institute of Technology (HIT), Harbin, China.
- 2013.09 - 2017.06, Bachelor, School of Computer Science and Technology, Heilongjiang University, Harbin, China.
Invited Talks
- 2024.10, Guided Image Super-resolution: From Traditional Methods to Deep Learning (Northeastern University, Shenyang, China).
Internships
- 2018.09 - 2023.12, Peng Cheng Laboratory, Shenzhen, China.