CHEN Chaofeng (陈超锋)

Research Fellow @ S-Lab, NTU

Ph.D @ HKU; B.Eng. @ HUST
chaofenghust [at] gmail.com

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About Me

I am currently a postdoctoral research fellow at S-Lab in Nanyang Technological University, working with Prof. Weisi Lin. I received my Ph.D. degree from Dept. of Computer Science at the University of Hong Kong in January 2021. I did my Ph.D. research at Computer Vision Lab in HKU, advised by Dr. Kenneth K.Y. Wong. Prior to studying at HKU, I received my B.Eng. from Huazhong University of Science and Technology.

My interests are centered around Computer Vision and Deep Learning. Current research topics include:

News

  • ⭐ Use pip install pyiqa to try our PyTorch toolbox for Image Quality Assessment.
  • ⭐ Find a comprehensive survey about Image Quality Assessment here: .
  • 2024-02: Two papers (Co-authored) about IQA are accepted by CVPR2024!
  • 2024-01: Q-Bench is accepted as spotlight paper 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.
  • 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

Sep 2021 - Present Postdoctoral research fellow at S-Lab in NTU, working with Prof. Weisi Lin
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

Publications

Preprint Papers

    Conference Papers

      Journal Papers

        PhD Dissertation

        Face Sketch Synthesis and Face Super Resolution in the Wild with Deep Learning

        Chaofeng Chen

        Dept. of Computer Science, The University of Hong Kong, 2020

        HKU Theses Online

        Professional Activities

        Awards

        Teaching