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CHEN Chaofeng (陈超锋)

Tenure Track Assistant Professor

School of Artificial Intelligence, Wuhan University

Research Areas: Computer Vision, Image Processing, Multi-modality Generative Models

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About Me

I am currently a tenure track Assistant Professor at School of Artificial Intelligence, Wuhan University. I was a postdoctoral research fellow at S-Lab in Nanyang Technological University, worked with Prof. Weisi Lin and Prof. Kelly. I received my Ph.D. degree from Dept. of Computer Science at the University of Hong Kong, advised by Dr. Kenneth K.Y. Wong. Before that, I received my B.Eng. from Huazhong University of Science and Technology. My interests are centered around Computer Vision and Image Processing. Current research topics are: Low level vision, including image quality assessment, restoration and enhancement; Multi-modality generative models.

🚩 Openings / 招生信息

We are actively looking for passionate and talented students to join our research group. If you are interested in working on cutting-edge research in computer vision and deep learning, please send me an email with your resume and transcript.

我们课题组长期欢迎有志于计算机视觉、深度学习等方向的优秀同学加入，一起探索前沿技术、完成有影响力的科研工作！ 有意向的同学请发送邮件至我的邮箱，并附上个人简历和成绩单。

目前，课题组正在招收2026年秋季入学的硕士研究生和博士研究生。欢迎有兴趣的同学积极投递简历！[查看招生详情]

Latest News

⭐ Use pip install pyiqa to try our PyTorch toolbox for Image Quality Assessment IQA-PyTorch.
⭐ Find a comprehensive survey about Image Quality Assessment here: Awesome-Image-Quality-Assessment.
2025-07 One paper is accepted by ICCV2025!
2025-01 Our work Text4Seg is accepted by ICLR2025!
2024-07 Four papers are accepted by ACM MM2024 with three Oral (3.97%) presentations!
2024-07 Five papers are accepted by ECCV2024 (1 first-authored, 1 Oral)!
2024-05 Q-Align is accepted by ICML2024!
2024-02 Two papers (Co-authored) about IQA are accepted by CVPR2024!
2024-01 Q-Bench is accepted as spotlight paper (4.96%) by ICLR2024!
2024-01 TOPIQ is accepted by Transactions on Image Processing (TIP).
2023-12 One paper about image super-resolution is accepted by AAAI2024.
2023-10 We release Q-Instruct, a multi-modality dataset for low-level visual instruction tuning with large visual language models.
2023-09 We release Q-Bench, a systematic benchmark for multi-modality LLMs (MLLMs) on low-level vision and visual quality assessment.
2023-09 Extension of FAST-VQA (FasterVQA) get accepted by TPAMI.
2023-07 One paper about video quality assessment is accepted by ACM MM 2023.
2023-07 One paper about video quality assessment is accepted by ICCV 2023.
2023-03 One paper about video quality assessment is accepted by ICME 2023.
2023-02 One paper about video quality assessment is accepted by TCSVT 2023.
2022-12 One paper about video prediction is accepted by AAAI 2023.
2022-11 Our research team, NTU Visual Quality Assessment Group is created, which aims to build efficient and explainable Visual Quality Assessment approaches.
2022-09 One paper is accepted by NeurIPS 2022.
2022-07 Three papers have been accepted by ECCV2022.
2022-06 Two papers, including QuanTexSR (renamed as FeMaSR) have been accepted by ACM MM2022 as Oral presentation (5.9%).
2022-06 One paper, FFRNet about masked face recognition has been accepted by ICIP2022.
2022-03 We release our work about blind image resolution, QuanTexSR, together with the codes in Github.
2022-02 We release a PyTorch toolbox for IQA as well as a comprehensive survey .
2021-07 One paper about HDR video reconstruction is accepted by ICCV 2021.
2021-03 Our paper PSFR-GAN about face SR has been accepted by CVPR2021.
2020-11 Our paper SPARNet about face SR has been accepted by TIP2020.

Experience

Jul 2025 - Present Tenure Track Assistant Professor at School of Artificial Intelligence, Wuhan University.
Sep 2021 - Jan 2025 Postdoctoral research fellow at S-Lab in NTU, working with Prof. Weisi Lin and Prof. Kelly
Mar 2021 - Aug 2021 Research Assistant at GAP Lab CUHKSZ, worked with Dr. Xiaoguang Han
Nov 2019 - Mar 2021 Research Intern at Alibaba DAMO Academy, worked with Prof. Lei Zhang and Dr. Xiaoming Li
May 2019 - Oct 2019 Research Visitor at VLLab UC Merced, worked with Prof. Ming-Hsuan Yang
Jun 2018 - Mar 2019 Research Intern at Tencent AI Lab, worked with Prof. Zhifeng Li and Dr. Dihong Gong

Selected Publications * Co-first author, ✉ Corresponding author

All Publications | Google Scholar

Preprints

Conference Papers

Journal Papers

Professional Activities

  • Conference Reviewer:
    • IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
    • International Conference on Computer Vision (ICCV)
    • European Conference on Computer Vision (ECCV)
    • Conference on Neural Information Processing Systems (NeurIPS)
    • International Conference on Learning Representations (ICLR)
    • Association for the Advancement of Artificial Intelligence (AAAI)
    • ACM International Conference on Multimedia (ACM MM)
  • Journal Reviewer:
    • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
    • International Journal of Computer Vision (IJCV)
    • IEEE Transactions on Image Processing (TIP)
    • IEEE Transactions on Multimedia (TMM)
    • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
    • Elsevier Journal of Neurocomputing (Neurocomputing)

Awards

  • Hong Kong PhD Fellowship - The University of Hong Kong (2015)
  • National Scholarship - Huazhong University of Science and Technology (2011)

Teaching

Institution Semester Course Role
SYSU 2025 Spring AI236 Principles of Artificial Intelligence
AI238 Experiment of Artificial Intelligence		 Lecture
TA: Xia Chen, Guiyong Zheng
HKU 2017 Spring COMP3317 Computer Vision Teaching Assistant
HKU 2016 Fall COMP2396 Object-Oriented Programming and Java Teaching Assistant
HKU 2016 Spring COMP2396 Object-Oriented Programming and Java Teaching Assistant

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