Man Zhou 周满

Research Fellow

Nanyang Technological University,

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

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]

Google Scholar Profile
[Google Scholar] [Github]

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 Xueyang Fu, Aiping Liu and Danfeng Hong. 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.

Selected publication

@inproceedings{zhou2022adaptively,
  title={Adaptively Learning Low-high Frequency Information Integration for Pan-sharpening},
  author={Zhou, Man and Huang, Jie and Li, Chongyi and Yu, Hu and Yan, Keyu and Zheng, Naishan and Zhao, Feng},
  booktitle={Proceedings of the 30th ACM International Conference on Multimedia},
  pages={3375--3384},
  year={2022}
}

@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{yu2022frequency,
  title={Frequency and spatial dual guidance for image dehazing},
  author={Yu, Hu and Zheng, Naishan and Zhou, Man and Huang, Jie and Xiao, Zeyu and Zhao, Feng},
  booktitle={Computer Vision--ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23--27, 2022, Proceedings, Part XIX},
  pages={181--198},
  year={2022},
  organization={Springer}
}

@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, 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.

[.>>] 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, Jie Huang, Keyu Yan, Hu Yu, Xueyang Fu, Aiping Liu, Xian Wei, Feng Zhao.

European Conference on Computer Vision ( ECCV ), 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 , Keyu Yan, Jinghao Zhang, Yukun Huang, Feng Zhao, Zhiwei Xiong.

European Conference on Computer Vision ( ECCV ), 2022.

[.>>] 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.

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

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

TGRS.

[.>>] 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, 2023.

[.>>] 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.

Image restoration (自然图像复原)

@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{yudeep,
  title={Deep Fourier Up-Sampling},
  author={Yu, Hu and Huang, Jie and Zhao, Feng and Gu, Jinwei and Loy, Chen Change and Meng, Deyu and Li, Chongyi and others},
  booktitle={Advances in Neural Information Processing Systems}
}

@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{huang2022deep,
  title={Deep Fourier-Based Exposure Correction Network with Spatial-Frequency Interaction},
  author={Huang, Jie and Liu, Yajing and Zhao, Feng and Yan, Keyu and Zhang, Jinghao and Huang, Yukun and Zhou, Man and Xiong, Zhiwei},
  booktitle={Computer Vision--ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23--27, 2022, Proceedings, Part XIX},
  pages={163--180},
  year={2022},
  organization={Springer}
}

@inproceedings{huang2022exposure,
  title={Exposure-Consistency Representation Learning for Exposure Correction},
  author={Huang, Jie and Zhou, Man and Liu, Yajing and Yao, Mingde and Zhao, Feng and Xiong, Zhiwei},
  booktitle={Proceedings of the 30th ACM International Conference on Multimedia},
  pages={6309--6317},
  year={2022}
}

@article{zhou2021pid,
  title={PID controller-inspired model design for single image de-raining},
  author={Zhou, Man and Wang, Fan and Wei, Xian and Wang, Rujing and Wang, Xue},
  journal={IEEE Transactions on Circuits and Systems II: Express Briefs},
  volume={69},
  number={4},
  pages={2351--2355},
  year={2021},
  publisher={IEEE}
}

@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.

[.>>] Empowering Low-Light Image Enhancer through Customized Learnable Priors.

Customized image prior (定制化先验).

Naishan Zheng, Man Zhou .

International Conference on Computer Vision (ICCV), 2023.

[.>>] Generalized Lightness Adaptation with Channel Selective Normalization.

Customized operator (定制化基础算子).

Mingde Yao, Jie Huang, Man Zhou, Zhiwei Xiong.

International Conference on Computer Vision (ICCV), 2023.

[.>>] Learning Non-Uniform-Sampling for Ultra-High-Definition Image Enhancement.

Customized framework (定制化框架).

Wei Yu, Jie Huang, Man Zhou.

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

[.>>] 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.

[.>>] 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 Sample Relationship for Exposure Correction.

Customized loss (定制化损失函数).

Jie Huang, Man Zhou , 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 , Zizheng Yang，Qi Zhu，Feng Zhao

Thirty-Seventh AAAI Conference on Artificial Intelligence ( AAAI ), 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 , Keyu Yan, Jinghao Zhang, Yukun Huang, Feng Zhao, Zhiwei Xiong.

European Conference on Computer Vision ( ECCV ), 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 , Yajing Liu, Mingde Yao, Feng Zhao, Zhiwei Xiong.

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

[.>>] 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.

[.>>] 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.

[.>>] 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{yudeep,
  title={Deep Fourier Up-Sampling},
  author={Yu, Hu and Huang, Jie and Zhao, Feng and Gu, Jinwei and Loy, Chen Change and Meng, Deyu and Li, Chongyi and others},
  booktitle={Advances in Neural Information Processing Systems}
}

@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}
}

@inproceedings{zhou2022mutual,
  title={Mutual information-driven pan-sharpening},
  author={Zhou, Man and Yan, Keyu and Huang, Jie and Yang, Zihe and Fu, Xueyang and Zhao, Feng},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={1798--1808},
  year={2022}
}

@inproceedings{zhou2022pan,
  title={Pan-sharpening with customized transformer and invertible neural network},
  author={Zhou, Man and Huang, Jie and Fang, Yanchi and Fu, Xueyang and Liu, Aiping},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={36},
  number={3},
  pages={3553--3561},
  year={2022}
}

@article{yan2022panchromatic,
  title={Panchromatic and Multispectral Image Fusion via Alternating Reverse Filtering Network},
  author={Yan, Keyu and Zhou, Man and Huang, Jie and Zhao, Feng and Xie, Chengjun and Li, Chongyi and Hong, Danfeng},
  journal={arXiv preprint arXiv:2210.08181},
  year={2022}
}

@inproceedings{zhou2022normalization,
  title={Normalization-based Feature Selection and Restitution for Pan-sharpening},
  author={Zhou, Man and Huang, Jie and Yan, Keyu and Yang, Gang and Liu, Aiping and Li, Chongyi and Zhao, Feng},
  booktitle={Proceedings of the 30th ACM International Conference on Multimedia},
  pages={3365--3374},
  year={2022}
}

@inproceedings{zhou2022pan,
  title={Pan-sharpening with customized transformer and invertible neural network},
  author={Zhou, Man and Huang, Jie and Fang, Yanchi and Fu, Xueyang and Liu, Aiping},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={36},
  number={3},
  pages={3553--3561},
  year={2022}
}

@inproceedings{yang2022memory,
  title={Memory-augmented deep conditional unfolding network for pan-sharpening},
  author={Yang, Gang and Zhou, Man and Yan, Keyu and Liu, Aiping and Fu, Xueyang and Wang, Fan},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={1788--1797},
  year={2022}
}

@article{zhou2022effective,
  title={Effective pan-sharpening by multiscale invertible neural network and heterogeneous task distilling},
  author={Zhou, Man and Huang, Jie and Fu, Xueyang and Zhao, Feng and Hong, Danfeng},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  volume={60},
  pages={1--14},
  year={2022},
  publisher={IEEE}
}

@inproceedings{yan2022memory,
  title={Memory-Augmented Model-Driven Network for Pansharpening},
  author={Yan, Keyu and Zhou, Man and Zhang, Li and Xie, Chengjun},
  booktitle={Computer Vision--ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23--27, 2022, Proceedings, Part XIX},
  pages={306--322},
  year={2022},
  organization={Springer}
}

@article{yan2022pansharpening,
  title={When pansharpening meets graph convolution network and knowledge distillation},
  author={Yan, Keyu and Zhou, Man and Liu, Liu and Xie, Chengjun and Hong, Danfeng},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  volume={60},
  pages={1--15},
  year={2022},
  publisher={IEEE}
}

[.>>] 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.

[.>>] Pyramid Dual Domain Injection Network for Pan-sharpening.
[Code][PDF][BibTex]

Customized meta-framework (空频多尺度).

Xuanhua He, Man Zhou .

International Conference on Computer Vision ( ICCV ), 2023.

[.>>] PanFlowNet: A Flow-Based Deep Network for Pan-sharpening.
[Code][PDF][BibTex]

Customized meta-framework (空频多尺度).

Xuanhua He, Xiangyong Cao, Man Zhou, Deyu Meng, Xun Chen, Aiping Liu.

International Conference on Computer Vision ( ICCV ), 2023.

[.>>] 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.

International Conference on Computer Vision (ICCV), 2023.

[.>>] Learning Deep Multiscale Local Dissimilarity Prior for Pansharpening.
[Code]

Kai Zhang, Man Zhou.

TGRS, 2023.

[.>>] 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.

[.>>] 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.

[.>>] 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.

[.>>] 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.

[.>>] 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.

[.>>] 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.

[.>>] 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.

[.>>] 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.

[.>>] 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.

Industrial Experience

Shanghai, AI Lab.

Mar. 2022 – Present

Research Intern
Topic: Image restoration

Academic Experience:Reviewer

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