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.
Collaborative Publications
- Hanzhang Wang, Zonglin Liu, Zhiwei Zhong, Qiangqiang Shen, Yongsheng Liang, Yongyong Chen, Anchor-Induced Serial Tensor Representation for Multi-View Clustering, IEEE Transactions on Circuits and Systems for Video Technology 2026.
- Qiangqiang Shen, Xuanqi Zhang, Peilin Chen, Zhiwei Zhong, Howard Leung, Shiqi Wang, Unfolding High-Order Correlations for Interpretable Multi-Contrast MRI Super-Resolution, IEEE Transactions on Image Processing 2026.
- Yudong Mao, Hao Luo, Zhiwei Zhong, Peilin Chen, Zhijiang Zhang, Shiqi Wang, Making Old Film Great Again: Degradation-Aware State Space Model for Old Film Restoration, IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025.
- Hao Luo, Lingyu Zhu, Yudong Mao, Yixuan Li, Zhiwei Zhong, Shanshe Wang, Shiqi Wang, Exploiting Long and Short Temporal Dependence for Low-Light Video Enhancement, IEEE International Conference on Multimedia and Expo 2025.
- Rafael E. Rivadeneira, Angel D. Sappa, Riad Hammoud, Jiyong Rao, Hang Zhong, Yu Wang, Shengjie Zhao, Zhiwei Zhong, Yung-Hui Li, Shiqi Wang, Qiangqiang Shen, Hanzhang Wang, Xuanqi Zhang, Thermal Image Super-Resolution Challenge Results - PBVS 2025, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops 2025.
- Rafael E. Rivadeneira, Angel D. Sappa, Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Peilin Chen, Shiqi Wang, Thermal Image Super-Resolution Challenge Results - PBVS 2024, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops 2024.
- Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Xianming Liu, Spatial-Frequency Mutual Learning for Face Super-Resolution, IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023.
- Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Deming Zhai, Xianming Liu, Super-Resolving Face Image by Facial Parsing Information, IEEE Transactions on Biometrics, Behavior, and Identity Science 2023.
- Rafael E. Rivadeneira, Angel D. Sappa, Boris X. Vintimilla, Chenyang Wang, Junjun Jiang, Xianming Liu, Zhiwei Zhong, Dai Bin, Li Ruodi, Li Shengye, Thermal Image Super-Resolution Challenge Results - PBVS 2023, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops 2023.
- Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Xianming Liu, Propagating Facial Prior Knowledge for Multitask Learning in Face Super-Resolution, IEEE Transactions on Circuits and Systems for Video Technology 2022.
- Rafael E. Rivadeneira, Angel D. Sappa, Boris X. Vintimilla, Jin Kim, Dogun Kim, Zhihao Li, Yingchun Jian, Bo Yan, Leilei Cao, Fengliang Qi, Hongbin Wang, Rongyuan Wu, Lingchen Sun, Yongqiang Zhao, Lin Li, Kai Wang, Yicheng Wang, Xuanming Zhang, Huiyuan Wei, Chonghua Lv, Qigong Sun, Xiaolin Tian, Zhuang Jia, Jiakui Hu, Chenyang Wang, Zhiwei Zhong, Xianming Liu, Junjun Jiang, Thermal Image Super-Resolution Challenge Results - PBVS 2022, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops 2022.
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
- 2026 Top Reviewer, NeurIPS 2026.
- 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
- Journal Reviewer: IJCV, TPAMI, TIP, TMM, TCSVT, TETCI, ISPRS JPRS, PR, KBS.
- Conference Reviewer: CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, ACM MM, 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.