Man Zhou   周满

Research Fellow

S-Lab,
Nanyang Technological University,
Singapore

Email: manman@mail.ustc.edu.cn;
Email: manzhountu@gmail.com;

Wechat (微信): Zm2903256411

欢迎合作与探讨!共同推动底层视觉发展!

定制化底层视觉基础框架和理论研究 [PPT-updating]

Customized low-level vision theory [PPT-updating]

Google Scholar Profile  
[Google Scholar] [Github]

Man Zhou

News

  • 2023.5, New customized meta-operator (Deep Fourier Shifting) is avaliable.
  • 2023.5, New customized meta-operator (Linearly-evolved transformer) is avaliable.
  • 2023.5, Deep Fourier down-sampling (Factoring Down-Sampling into Shuffling and Superposing) is avaliable.
  • 2023.4, I am serving as an Area Chair for ACM MM 2023 .
  • 2023.4, Two papers are accepted to ICML (1 oral) .
  • 2023.5, One paper is accepted to TNNLS.
  • 2023.4, One paper is accepted to TGRS.
  • 2023.4, I serve as Guest editor for IEEE JSTARS .
  • 2023.4, One paper is accepted to TGRS.
  • 2023.2, Four papers hit on CVPR.
  • 2023.2, one paper is accepted to TCI.
  • 2023.2, one paper is accepted to ICLR.
  • 2022.12, Awarded Baidu Scholarship 2022 (10 winners worldwide)
  • 2022.11, one paper is accepted to AAAI.
  • 2022.9, one paper is accepted to IJCV.
  • 2022.09, Two papers hit on ( NeurIPS ).
  • 2022.05, Three papers hit on ECCV.
  • 2022.05, Nine papers hit on ACM MM.
  • 2022.03, Three papers hit on CVPR.
  • 2022.04, one paper is accepted to IJCAI.
  • 2022.02, one paper is accepted to TGRS.
  • Biography

    I am currently a research fellow at Nanyang Technological University under the supervision by Chen Change Loy and Chongyi Li. Before that, i have received my Ph.D. from University of Science and Technology of China under the supervision by Asst. Prof. Xueyang Fu and Prof. Danfeng Hong. During the Phd, i was also supervised by Deyu Meng and Jinwei Gu. My current research interests span computer vision and machine learning with a series of topics, such as low-level vision theory, image restoration, and remote sensing image processing.


    My research philosophy is to promote the development of customized low-level vision, so that the low-level vision can become the real low-level vision, rather than the follower of others.

    In submission of customized series

    Deep Fourier Shifting.

    Customized meta-operator (定制化基础算子-convolution community).

    Man Zhou, Chen change Loy.

    FourierDown: Factoring Down-Sampling into Shuffling and Superposing.

    Customized meta-operator (定制化基础算子-deep Fourier down-sampling).

    Qi Zhu, Man Zhou.

    Linearly-evolved transformer for pan-sharpening.

    Customized meta-operator (定制化基础算子-Linearly-evolved transformer).

    Junming Hou, Man Zhou.

    Training your Image restoration network better with random weight network as optimization function.

    Customized loss-random weight network (定制化损失函数-随机权重).

    Man Zhou, chongyi Li.

    Deep Fourier Upsampling Cluster.

    Customized meta-operator (定制化基础算子-convolution community).

    Man Zhou, Chongyi Li, Deyu Meng, Chen change Loy.

    TPAMI.

    Suggested to Read (推荐阅读)

    Deep Fourier Up-sampling.
    [Code][PDF][BibTex]

    Man Zhou, Hu Yu, Jie Huang, Keyu Yan, Deyu Meng, Jinwei Gu, Chen Chang Loy, Chongyi Li.

    Customized up-sampling meta-operator (定制化基础算子-傅里叶上采样).

    Advances in Neural Information Processing Systems ( NeurIPS (spotlight)), 2022.

    Fourmer: An Efficient Global Modeling Paradigm for Image Restoration.

    Customized global modeling paradigm (定制化全局建模基础架构-傅里叶).

    Man Zhou, Jie Huang, Chunle Guo, Chongyi Li.

    ICML (oral) , 2023.

    Spatial-Frequency Domain Information Integration for Pan-sharpening.
    [Code][PDF][BibTex]

    Customized multi-modal meta-framework (定制化多模态框架).

    Man Zhou, Jie Huang, Keyu Yan, Hu Yu, Xueyang Fu, Aiping Liu, Xian Wei, Feng Zhao.

    European Conference on Computer Vision ( ECCV ), 2022.

    Mutual Information-driven Pan-sharpening.
    [Code][PDF][BibTex]

    Customized meta-framework by information theory (定制化多模态基础框架-信息论).

    Man Zhou, Keyu Yan, Xueyang Fu, Jie Huang, Zihe Yang, Feng Zhao.

    IEEE Conference on Computer Vision and Pattern Recognition ( CVPR ), 2022.

    Image De-raining via Continual Learning.
    [Code][PDF][BibTex]

    the first continual learning-based image restoration work (第一篇连续学习底层图像处理文章).

    Man Zhou, Jie Xiao, Yifan Chang, Xueyang Fu, Aiping Liu, Jinshan Pan, Zheng-Jun Zha.

    IEEE Conference on Computer Vision and Pattern Recognition ( CVPR ), 2021.

    Exposure-Consistency Representation Learning for Exposure Correction.
    [Code][PDF][BibTex]

    Customized meta-operator-invariant theory (定制化基础算子-阴阳理论).

    Jie Huang, Man Zhou (co-first author), Yajing Liu, Mingde Yao, Feng Zhao, Zhiwei Xiong.

    ACM International Conference on Multimedia ( ACM MM), 2022.

    Improving De-raining Generalization via Neural Reorganization.
    [Code][PDF][BibTex]

    introducing brained-inspired mechanism into image processing/restoration field (神经生物学:大脑记忆机制引入底层图像处理).

    Jie Xiao, Man Zhou (co-first author), Xueyang Fu, Aiping Liu, Zheng-Jun Zha.

    International Conference on Computer Vision ( ICCV ), 2021.

    Pan-sharpening with Customized Transformer and Invertible Neural Network.
    [Code][PDF][BibTex]

    the first transformer-based pan-sharpening work (第一篇pan-sharpening transformer 工作-跟风热点文).

    Man Zhou, Jie Huang, Yanchi Fang, Xueyang Fu, Aiping Liu.

    AAAI Conference on Artificial Intelligence ( AAAI ), 2022.

    Learning Sample Relationship for Exposure Correction.

    Customized loss (定制化损失函数).

    Jie Huang, Man Zhou (Co-first author & corresponding author) , Jie Xiao, kaiwen zheng, Naishan Zheng, Feng Zhao, Zhiwei Xiong

    IEEE Conference on Computer Vision and Pattern Recognition ( CVPR ), 2023.

    Deep Fourier-based Exposure Correction Network with Spatial-Frequency Interaction.
    [Code][PDF][BibTex]

    Customized meta-framework (定制化基础框架-傅里叶).

    Jie Huang, Yajing Liu, Man Zhou (corresponding author), Keyu Yan, Jinghao Zhang, Yukun Huang, Feng Zhao, Zhiwei Xiong.

    European Conference on Computer Vision ( ECCV ), 2022.

    In submission

    A General Spatial-Frequency Learning Framework for Satellite Pan-sharpening.

    Man Zhou, Jie Huang, Chongyi Li, Danfeng Hong, Xiuping Jia, Jocelyn Chanussot.

    TPAMI.

    Toward Resolution Mismatching: Modality-aware Feature-aligned Network for Pan-sharpening.

    Man Zhou, Xuanhua He, Chongyi Li, Danfeng Hong, Jocelyn Chanussot.

    IJCV.

    Unlocking Masked Autoencoders as Loss Function for Image and Video Restoration.

    Customized loss-MAE loss (定制化损失函数).

    Man Zhou.

    arxiv.

    Learned Image Reasoning Prior Penetrates Deep Unfolding Network for Panchromatic and Multi-Spectral Image Fusion.
    [Code]

    Customized image prior (定制化先验).

    Man Zhou.

    ICCV.

    Exploring Temporal Frequency Spectrum in Deep Video Deblurring.

    Customized video meta-framework (定制化视频基础架构-傅里叶).

    Qi Zhu, Man Zhou.

    ICCV.

    Empowering Low-Light Image Enhancer through Customized Learnable Priors.

    Customized image prior (定制化先验).

    Naishan Zheng, Man Zhou.

    ICCV.

    Selected Publications

    Memory-augmented Deep Unfolding Network for Guided Image Super-resolution.
    [Code][PDF][BibTex]

    Information flow orthogonal to memory flow (记忆流与信号流正交).

    Man Zhou, Keyu Yan, Jinshan Pan, Wenqi Ren, Qi Xie, Xiangyong Cao

    International Journal of Computer Vision ( IJCV ), 2022.

    Deep Fourier Up-sampling.
    [Code][PDF][BibTex]

    Customized up-sampling meta-operator (定制化基础算子-傅里叶上采样).

    Man Zhou, Hu Yu, Jie Huang, Keyu Yan, Deyu Meng, Jinwei Gu, Chen Chang Loy, Chongyi Li

    Advances in Neural Information Processing Systems ( NeurIPS (spotlight)), 2022.

    Rethinking Pan-sharpening in Closed-loop Regularization.
    [Code]

    Man Zhou, Jie Huang, Feng Zhao, Danfeng Hong, Jocelyn Chanussot.

    TNNLS, 2023.

    Spatial-Frequency Domain Information Integration for Pan-sharpening.
    [Code][PDF][BibTex]

    Customized multi-modal meta-framework (定制化多模态框架).

    Man Zhou, Jie Huang, Keyu Yan, Hu Yu, Xueyang Fu, Aiping Liu, Xian Wei, Feng Zhao

    European Conference on Computer Vision ( ECCV ), 2022.

    Mutual Information-driven Pan-sharpening.
    [Code][PDF][BibTex]

    Customized meta-framework by information theory (定制化多模态基础框架-信息论).

    Man Zhou, Keyu Yan, Xueyang Fu, Jie Huang, Zihe Yang, Feng Zhao.

    IEEE Conference on Computer Vision and Pattern Recognition ( CVPR ), 2022.

    Unfolding Taylor’s Approximations for Image Restoration.
    [Code][PDF][BibTex]

    Customized meta-framework- a novel image processing/restoration framework (定制化基础框架-泰勒展开-新的图像处理框架).

    Man Zhou, Zeyu Xiao, Xueyang Fu, Aiping Liu, Gang Yang, Zhiwei Xiong.

    Thirty-fifth Conference on Neural Information Processing Systems ( NeurIPS ), 2021.

    Image De-raining via Continual Learning.
    [Code][PDF][BibTex]

    the first continual learning-based image restoration work (第一篇连续学习底层图像处理文章).

    Man Zhou, Jie Xiao, Yifan Chang, Xueyang Fu, Aiping Liu, Jinshan Pan, Zheng-Jun Zha.

    IEEE Conference on Computer Vision and Pattern Recognition ( CVPR ), 2021.

    Adaptively Learning Low-high Frequency Information Integration for Pan-sharpening.
    [Code][PDF][BibTex]

    Multi-scale Fourier? Mask-crop spectrum (何为频域多尺度?- Mask-crop 频谱).

    Man Zhou,Jie Huang, Chongyi Li, Hu Yu, Keyu Yu, Naishan Zheng, Feng Zhao

    ACM International Conference on Multimedia ( ACM MM ), 2022.

    Effective Pan-Sharpening With Transformer and Invertible Neural Network.
    [Code][PDF][BibTex]

    introducing invertible neural network into multi-modal field (可逆神经网络引入多模态图像融合领域).

    Man Zhou, Xueyang Fu, Jie Huang, Feng Zhao, Aiping Liu, Rujing Wang.

    IEEE Transactions on Geoscience and Remote Sensing ( TGRS ), 2022.

    Learning Sample Relationship for Exposure Correction.

    Customized loss (定制化损失函数).

    Jie Huang, Man Zhou (Co-first author & corresponding author) , Jie Xiao, kaiwen zheng, Naishan Zheng, Feng Zhao, Zhiwei Xiong

    IEEE Conference on Computer Vision and Pattern Recognition ( CVPR ), 2023.

    Learning Semantic Degradation-Aware Guidance for Recognition-Driven Unsupervised Low-Light Image Enhancement.

    Customized low-for-high meta-framework (定制化 Low for High 框架).

    Naishan Zheng,Jie Huang,Man Zhou (corresponding author) , Zizheng Yang,Qi Zhu,Feng Zhao

    Thirty-Seventh AAAI Conference on Artificial Intelligence ( AAAI ), 2023.

    Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement.
    [Code][PDF][BibTex]

    Customized UHD meta-framework-crop/resize pyramid (定制化超大图基础框架-统一crop/resize金字塔).

    Chongyi Li, Chunle Guo, Man Zhou, Zhexin Liang, Shangchen Zhou, Ruicheng Feng, and Chen Change Loy

    ICLR (oral), 2023.

    Panchromatic and Multispectral Image Fusion via Alternating Reverse Filtering Network.
    [Code][PDF][BibTex]

    Customized meta-framework-point fixed theory (定制化基础框架-不动点方程).

    Keyu Yan, Man Zhou (co-first author), Jie Huang, Chengjun Xie, Feng Zhao, Chongyi Li, Danfeng Hong

    Advances in Neural Information Processing Systems ( NeurIPS (spotlight)), 2022.

    Deep Fourier-based Exposure Correction Network with Spatial-Frequency Interaction.
    [Code][PDF][BibTex]

    Customized meta-framework (定制化基础框架-傅里叶).

    Jie Huang, Yajing Liu, Man Zhou (corresponding author), Keyu Yan, Jinghao Zhang, Yukun Huang, Feng Zhao, Zhiwei Xiong.

    European Conference on Computer Vision ( ECCV ), 2022.

    Normalization-based Feature Selection and Restitution for Pan-sharpening.
    [Code][PDF][BibTex]

    Man Zhou, Jie Huang, Keyu Yan, Gang Yang, Aiping Liu, Chongyi Li, Feng Zhao.

    ACM International Conference on Multimedia ( ACM MM ), 2022.

    Multi-scale Dual-domain Guidance Network for Pan-sharpening.
    [Code]

    Xuanhua He, Keyu Yan, Rui Li, Chengjun Xie, Jie Zhang, Man Zhou (corresponding author), Danfeng Hong.

    TGRS.

    Pan-sharpening with Customized Transformer and Invertible Neural Network.
    [Code][PDF][BibTex]

    the first transformer-based pan-sharpening work (第一篇pan-sharpening transformer 工作-跟风热点文).

    Man Zhou, Jie Huang, Yanchi Fang, Xueyang Fu, Aiping Liu.

    AAAI Conference on Artificial Intelligence ( AAAI ), 2022.

    Random Shuffle Transformer for Image Restoration.

    Jie Xiao, Xueyang Fu, Man Zhou, Hongjian Liu, Zhengjun Zha.

    ( ICML ), 2023.

    Exposure-Consistency Representation Learning for Exposure Correction.
    [Code][PDF][BibTex]

    Customized meta-operator-invariant theory (定制化基础算子-阴阳理论).

    Jie Huang, Man Zhou (co-first author), Yajing Liu, Mingde Yao, Feng Zhao, Zhiwei Xiong.

    ACM International Conference on Multimedia ( ACM MM), 2022.

    Memory-augmented Deep Conditional Unfolding Network for Pan-sharpening.
    [Code][PDF][BibTex]

    Gang Yang, Man Zhou (co-first author), Yajing Liu, Mingde Yao, Feng Zhao, Zhiwei Xiong.

    IEEE Conference on Computer Vision and Pattern Recognition ( CVPR), 2022.

    Deep Adaptive Pansharpening via Uncertainty-aware Image Fusion.
    [Code][PDF][BibTex]

    Kaiwen Zheng, Jie Huang, Man Zhou, Danfeng Hong, Feng Zhao.

    IEEE Transactions on Geoscience and Remote Sensing ( TGRS ), 2023.

    PAN-guided band-aware multi-spectral feature enhancement for Pan-sharpening.
    [Code][PDF]

    Man Zhou, Keyu Yan, Aiping Liu, Chengjun Xie, Xueyang Fu.

    IEEE Transactions on Computational Imaging ( TCI ), 2023.

    Control Theory-Inspired Model Design for Single Image De-Raining.
    [Code][PDF]

    introducing control theory into image processing/restoration field (控制理论引入底层图像处理).

    Man Zhou, Gang Yang, Keyu Yan, Aiping Liu, Xueyang Fu, Fan Wang.

    IEEE Transactions on Circuits and Systems II: Express Briefs, 2021.

    Effective Pan-sharpening by Multi-Scale Invertible Neural Network and Heterogeneous Task Distilling.
    [Code][PDF]

    Man Zhou, Jie Huang, Feng Zhao, Xueyang Fu, Danfeng Hong.

    IEEE Transactions on Geoscience and Remote Sensing ( TGRS ), 2022.

    PID Controller-Inspired Model Design for Single Image De-raining.
    [Code][PDF][BibTex]

    >introducing control theory into image processing/restoration field (控制理论引入底层图像处理).

    Man Zhou, Fan Wang, Xian Wei, Rujing Wang, Xue Wang.

    IEEE Transactions on Circuits and Systems II: Express Briefs, 2021.

    Reinforcedet: Object Detection By Integrating Reinforcement Learning With Decoupled Pipeline.

    Man Zhou, Liu Liu, Rujing Wang.

    IEEE International Conference on Image Processing ( ICIP ), 2021.

    ReinforceNet: A reinforcement learning embedded object detection framework with region selection network.

    Man Zhou, Rujing Wang, Chengjun Xie, Liu Liu, Rui Li, Fangyuan Wang, Dengshan Li.

    Neurocomputing, 2021.

    SIS: A New Multi-Scale Convolutional Operator.

    Man Zhou, Xueyang Fu, Aiping Liu.

    Journal of University of Science and Technology of China, 2022.

    Effective Pan-sharpening by Multi-Scale Invertible Neural Network and Heterogeneous Task Distilling.
    [Code][PDF][BibTex]

    Man Zhou , Jie Huang, Xueyang Fu, Feng Zhao, Danfeng Hong.

    IEEE Transactions on Geoscience and Remote Sensing ( TGRS ), 2022.

    Memory-Augmented Model-Driven Network for Pansharpening.
    [Code][PDF][BibTex]

    Keyu Yan, Man Zhou (co-first author), Li Zhang, Chengjun Xie.

    European Conference on Computer Vision ( ECCV ), 2022.

    When Pan-sharpening Meets Graph Convolution Network and Knowledge Distillation.
    [Code][PDF][BibTex]

    Keyu Yan, Man Zhou (co-first author), Liu Liu, Chengjun Xie, Danfeng Hong.

    IEEE Transactions on Geoscience and Remote Sensing ( TGRS ), 2022.

    Improving De-raining Generalization via Neural Reorganization.
    [Code][PDF][BibTex]

    introducing brained-inspired mechanism into image processing/restoration field (神经生物学:大脑记忆机制引入底层图像处理).

    Jie Xiao, Man Zhou (co-first author), Xueyang Fu, Aiping Liu, Zheng-Jun Zha.

    International Conference on Computer Vision ( ICCV ), 2021.

    Frequency and Spatial Dual Guidance for Image Dehazing.
    [PDF][BibTex]

    Hu Yu, Naishan Zheng, Man Zhou, Jie Huang, Zeyu Xiao, Feng Zhao.

    European Conference on Computer Vision ( ECCV ), 2022.

    Exploring Fourier Prior for Single Image Rain Removal.
    [PDF][BibTex]

    Xin Guo, Xueyang Fu, Man Zhou, Zhen Huang, Jialun Peng, Zhengjun Zha.

    International Joint Conference on Artificial Intelligence ( IJCAI ), 2022.

    Industrial Experience

    Academic Experience:Reviewer

    Journal Reviewers: TPAMI, IJCV, TNNLS, TGRS, Neurocomputing, etc.
    Conference PC/Reviewers: CVPR, ECCV, AAAI, ICCV, NeurIPS, ICML, etc.

    Selected Invited Talks