About Me

  • I am a postdoc researcher in the department of automation, Tsinghua University (THU), working with Prof. Qionghai Dai (Fellow of the Chinese Academy of Engineerning) at BBNC Lab. Prior to this, I received the Ph.D. degree in signal and information processing from Xiamen University (XMU), China, in Dec. 2023, advised by Prof. Xinghao Ding at SmartDSP Lab. I was a visiting Ph.D. student with Nanyang Technological University (NTU), Singapore, from Dec. 2021 to Dec. 2022, advised by Prof. Kai-Kuang Ma (IEEE Fellow). My current research interests include low-level vision, biomedical imaging, and deep learning.

Recent News

  • 获选国家资助博士后研究人员计划.
  • We have one paper accepted in ACCV 2024.
  • We have one paper accepted in IEEE TMI.
  • We have one paper accepted in AAAI 2024.

Publications

  Conference

  1. Progressive High-frequency Reconstruction for Pan-sharpening with Implicit Neural Representation.
    Ge Meng, Jingjia Huang, Yingying Wang, Zhenqi Fu, Xinghao Ding, Yue Huang.
    AAAI 2024. [pdf]
  2. Learning a Simple Low-light Image Enhancer from Paired Low-light Instances.
    Zhenqi Fu, Yan Yang, Xiaotong Tu, Yue Huang, Xinghao Ding, Kai-Kuang Ma.
    CVPR 2023. [pdf] [code]
  3. Domain-irrelevant Feature Learning for Generalizable Pan-sharpening.
    Yunlong Lin, Zhenqi Fu (co-first author), Meng Ge, Yingying Wang, Yuhang Dong, Linyu Fan, Hedeng Yu, Xinghao Ding.
    ACMMM 2023. [pdf] [code]
  4. Learning High-frequency Feature Enhancement and Alignment for Pan-sharpening.
    Yingying Wang, Yunlong Lin, Meng Ge, Zhenqi Fu, Yuhang Dong, Linyu Fan, Hedeng Yu, Xinghao Ding, Yue Huang.
    ACMMM 2023. [pdf] [code]
  5. Uncertainty Inspired Underwater Image Enhancement.
    Zhenqi Fu, Wu Wang, Yue Huang, Xinghao Ding, Kai-Kuang Ma.
    ECCV 2022. [pdf] [code]
  6. Unsupervised Underwater Image Restoration: From a Homology Perspective.
    Zhenqi Fu, Huangxing Lin, Yan Yang, Shu Chai, Liyan Sun, Yue Huang, Xinghao Ding.
    AAAI 2022. [pdf] [code]
  7. Underwater Image Enhancement via Learning Water Type Desensitized Representations.
    Zhenqi Fu, Xiaopeng Lin, Wu Wang, Yue Huang, Xinghao Ding.
    ICASSP 2022. [pdf] [code]
  8. Unsupervised and Untrained Underwater Image Restoration Based on Physical Image Formation Model.
    Shu Chai, Zhenqi Fu, Yue Huang, Xiaotong Tu, Xinghao Ding.
    ICASSP 2022. [pdf] [code]
  9. A Robust Object Segmentation Network for Underwater Scenes.
    Ruizhe Chen, Zhenqi Fu, Yue Huang, En Cheng, Xinghao Ding.
    ICASSP 2022. [pdf] [code]
  10. Underwater Image Enhancement and Super-resolution Using Implicit Neural Networks.
    Xueye Chu, Zhenqi Fu, Shaocong Yu, Xiaotong Tu, Yue Huang, Xinghao Ding.
    ICIP 2023. [pdf]
  11. A Study of Perceptual Quality Assessment for Stereoscopic Image Retargeting.
    Zhenqi Fu, Yan Yang, Feng shao, Xinghao Ding.
    APSIPA 2019. [pdf] [Database]
  12. Infrared and Visible Image Fusion via Test-Time Training.
    Guoqing Zheng, Zhenqi Fu, Xiaopeng Lin, Xueye Chu, Yue Huang, Xinghao Ding.
    PRCV 2023. [pdf]

  Journal

  1. Token-Mixer: Bind Image and Text in One Embedding Space for Medical Image Reporting.
    Yan Yang, Jun Yu, Zhenqi Fu, Ke Zhang, Ting Yu, Xianyun Wang, Hanliang Jiang, Junhui Lv, Qingming Huang and Weidong Han.
    IEEE Transactions on Medical Imaging. (2024) [pdf] [code]
  2. MASNet: A Robust Deep Marine Animal Segmentation Network.
    Zhenqi Fu, Ruizhe Chen, Yue Huang, En Cheng, Xinghao Ding, and Kai-Kuang Ma.
    IEEE Journal of Oceanic Engineering. (2023) [pdf] [code]
  3. Twice Mixing: A Rank Learning based Quality Assessment Approach for Underwater Image Enhancement.
    Zhenqi Fu, Xueyang Fu, Yue Huang, Xinghao Ding.
    Signal Processing: Image Communication. (2022) [pdf] [code]
  4. Combining Retargeting Quality and Depth Perception Measures for Quality Evaluation of Retargeted Stereopairs.
    Xuejin Wang, Feng Shao, Qiuping Jiang, Zhenqi Fu, Xiangchao Meng, Ke Gu, Yo-Sung Ho.
    IEEE Transactions on Multimedia. (2022) [pdf]
  5. Subjective and Objective Quality Assessment for Stereoscopic Image Retargeting.
    Zhenqi Fu, Feng Shao, Qiuping Jiang, Xiangchao Meng, Yo-Sung Ho.
    IEEE Transactions on Multimedia. (2022) [pdf] [code]
  6. Transformation-Aware Similarity Measurement for Image Retargeting Quality Assessment via Bidirectional Rewarping.
    Feng Shao, Zhenqi Fu, Qiuping Jiang, Gangyi Jiang, Yo-Sung Ho.
    IEEE Transactions on Systems, Man and Cybernetics: Systems. (2021) [pdf] [code]
  7. Discriminative dictionary learning for retinal vessel segmentation using fusion of multiple features.
    Yan Yang, Feng Shao, Zhenqi Fu, Randi Fu.
    Signal, Image and Video Processing. (2019) [pdf]
  8. Quality Assessment of Retargeted Images Using Hand-Crafted and Deep-Learned Features.
    Zhenqi Fu, Feng Shao, Qiuping Jiang, Randi Fu, Yo-Sung Ho.
    IEEE Access. (2018) [pdf]
  9. Blood vessel segmentation of fundus images via cross-modality dictionary learning.
    Yan Yang, Feng Shao, Zhenqi Fu, Randi Fu.
    Applied Optics. (2018) [pdf]

Academic Activities

  Conference Reviewer

  • ICLR/NeurIPS/CVPR/ECCV/AAAI/ACMMM/ICASSP/ICME/PRCV, etc.

  Journal Reviewer

  • TIP/IJCV/TNNLS/TMM/TCSVT/TCE/JOE/CVIU/C&G/Access/Neurocomputing/Neural Networks/Visual Computer/ Journal of Supercomputing, etc.

Resources

  • PairLIE Dataset: A low-light image enhancement dataset with multi-exposure images [2023].
  • RMAS Dataset: A real-world marine animal segmentation dataset [2023].
  • New UIEBD Dataset: An underwater image enhancement dataset with multiple labels [2022].
  • UIE IQA Dataset: An underwater image enhancement quality assessment dataset [2021].
  • NBU SIRQA Dataset: A stereoscopic image retargeting quality assessment dataset [2019].

Contact

Email: fuzhenqi@mail.tsinghua.edu.cn

Last update on 2024-09-20.