About Me

  • I am a postdoc researcher in the department of automation, Tsinghua University (THU), working with Prof. Qionghai Dai (Fellow of the Academy of Engineerning, China). 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

  • We have one paper accepted in AAAI 2024.
  • I am invited to serve as a reviewer for CVPR 2024, MM 2024, ECCV 2024, and ICME 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. 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]
  2. 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]
  3. 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]
  4. 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]
  5. 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]
  6. 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]
  7. 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]
  8. 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

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

  Journal Reviewer

  • TIP/IJCV/TNNLS/TMM/TCSVT/TCE/JOE/CVIU/C&G/Access/Neurocomputing/, 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 2024-04-10.