Man Zhou 周满

Research Fellow

Email: manman@mail.ustc.edu.cn;

定制化底层视觉基础框架和理论研究 [PPT-updating]

定制化底层视觉基础框架和理论研究 (最新版) [New]

Experience

2023.3-2024.3 (正常合同期限一年), Research Fellow, Nanyang Technological University.

2017.9-2022.10 (硕博连读), doctor of philosophy (Ph.D), University of Science and Technology of China.

Biography

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. My current research interests span computer vision and machine learning with a series of topics, such as vision theory, and remote sensing image processing.

Selected publication

@inproceedings{guo2022exploring,
  title={Exploring fourier prior for single image rain removal},
  author={Guo, Xin and Fu, Xueyang and Zhou, Man and Huang, Zhen and Peng, Jialun and Zha, Zheng-Jun},
  booktitle={Proceedings of the 30th International Joint Conferences on Artificial Intelligence},
  pages={935--941},
  year={2022}
}

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

Man Zhou, Hu Yu, 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), 2022.

[.>>] 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 .

International Conference on Computer Vision (ICCV), 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, Keyu Yan, Hu Yu, Xueyang Fu, Aiping Liu, Xian Wei, 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.

Vision theory (自然图像)

@article{zhou2023memory,
  title={Memory-augmented deep unfolding network for guided image super-resolution},
  author={Zhou, Man and Yan, Keyu and Pan, Jinshan and Ren, Wenqi and Xie, Qi and Cao, Xiangyong},
  journal={International Journal of Computer Vision},
  volume={131},
  number={1},
  pages={215--242},
  year={2023},
  publisher={Springer}
}

@article{fu2021unfolding,
  title={Unfolding Taylor's Approximations for Image Restoration},
  author={Fu, Xueyang and Xiao, Zeyu and Yang, Gang and Liu, Aiping and Xiong, Zhiwei and others},
  journal={Advances in Neural Information Processing Systems},
  volume={34},
  pages={18997--19009},
  year={2021}
}

@inproceedings{zhou2021image,
  title={Image de-raining via continual learning},
  author={Zhou, Man and Xiao, Jie and Chang, Yifan and Fu, Xueyang and Liu, Aiping and Pan, Jinshan and Zha, Zheng-Jun},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={4907--4916},
  year={2021}
}

@inproceedings{xiao2021improving,
  title={Improving de-raining generalization via neural reorganization},
  author={Xiao, Jie and Zhou, Man and Fu, Xueyang and Liu, Aiping and Zha, Zheng-Jun},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={4987--4996},
  year={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.

[.>>] 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 , Xueyang Fu, Aiping Liu, Zheng-Jun Zha.

International Conference on Computer Vision ( ICCV ), 2021.

[.>>] 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.

[.>>] 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.

[.>>] 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, Man Zhou , Zizheng Yang，Qi Zhu，Feng Zhao

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

[.>>] Random Shuffle Transformer for Image Restoration.

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

( ICML ), 2023.

[.>>] 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 , Xueyang Fu, Aiping Liu, Zheng-Jun Zha.

International Conference on Computer Vision ( ICCV ), 2021.

Remote sensing (遥感)

@article{zhou2023memory,
  title={Memory-augmented deep unfolding network for guided image super-resolution},
  author={Zhou, Man and Yan, Keyu and Pan, Jinshan and Ren, Wenqi and Xie, Qi and Cao, Xiangyong},
  journal={International Journal of Computer Vision},
  volume={131},
  number={1},
  pages={215--242},
  year={2023},
  publisher={Springer}
}

@inproceedings{zhou2022spatial,
  title={Spatial-frequency domain information integration for pan-sharpening},
  author={Zhou, Man and Huang, Jie and Yan, Keyu and Yu, Hu and Fu, Xueyang and Liu, Aiping and Wei, Xian and Zhao, Feng},
  booktitle={Computer Vision--ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23--27, 2022, Proceedings, Part XVIII},
  pages={274--291},
  year={2022},
  organization={Springer}
}

[.>>] 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.