About Me
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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
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We have one paper accepted in AAAI 2024.
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I am invited to serve as a reviewer for CVPR 2024, MM 2024, ECCV 2024, and ICME 2024.
Publications
  Conference
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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]
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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]
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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]
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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]
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Uncertainty Inspired Underwater Image Enhancement.
Zhenqi Fu, Wu Wang, Yue Huang, Xinghao Ding, Kai-Kuang Ma.
ECCV 2022.
[pdf]
[code]
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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]
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Underwater Image Enhancement via Learning Water Type Desensitized Representations.
Zhenqi Fu, Xiaopeng Lin, Wu Wang, Yue Huang, Xinghao Ding.
ICASSP 2022.
[pdf]
[code]
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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]
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A Robust Object Segmentation Network for Underwater Scenes.
Ruizhe Chen, Zhenqi Fu, Yue Huang, En Cheng, Xinghao Ding.
ICASSP 2022.
[pdf]
[code]
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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]
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A Study of Perceptual Quality Assessment for Stereoscopic Image Retargeting.
Zhenqi Fu, Yan Yang, Feng shao, Xinghao Ding.
APSIPA 2019.
[pdf]
[Database]
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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
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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 |