๐Ÿ“š Biography


Jinfan Hu is pursuing his Ph.D. degree in XPixel Group, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS). He is now supervised by Prof. Chao Dong. He obtained his Bachelor and Master degrees in Mathematics (supervised by Prof. Ting-Zhu Huang and Prof. Liang-Jian Deng) from the University of Electronic Science and Technology of China (UESTC), Chengdu, China in 2019 and 2022. His research interests include low-level computer vision and AI interpretability.

Email: jf.hu1@siat.ac.cn
Follow Me: Google Scholar โ€ƒ Github

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๐Ÿ”ฅ News

[01/2024] ๐ŸŽ‰๐ŸŽ‰๐ŸŽ‰ We release a groundbreaking image restoration method (SUPIR) that harnesses generative prior and the power of model scaling up. ๐ŸŽ‰๐ŸŽ‰๐ŸŽ‰ โ€ƒimageโ€ƒ

๐Ÿ“ Publications

  • F. Yu, J. Gu, Z. Li, J. Hu, X. Kong, X. Wang, J. He, Y. Qiao, and C. Dong. Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild. Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [Project Page][PDF].

  • R. Ran, L.-J. Deng, T.-X. Jiang, J.-F. Hu, J. Chanussot, and G. Vivone. GuidedNet: A General CNN Fusion Framework via High-resolution Guidance for Hyperspectral Image Super-resolution. IEEE Transactions on Cybernetics, 2023. (ESI Highly Cited)

  • X. Liu*, J. Hu*, X. Chen, and C. Dong. UDC-UNet: Under-Display Camera Image Restoration via U-shape Dynamic Network. European Conference on Computer Vision Workshop (ECCVW), 2022.

  • Y.-W. Zhuo, T.-J. Zhang, J.-F. Hu, H.-X. Dou, T.-Z. Huang, and L.-J. Deng. Hyper-DSNet: Hyperspectral Pansharpening via A Deep-Shallow Fusion Network with Multi-Detail Extractor and Spectral Attention. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022.

  • J.-F. Hu, T.-Z. Huang, L.-J. Deng, H.-X. Dou, D. Hong, and G. Vivone. Fusformer: A Transformer-based Fusion Approach for Hyperspectral Image Super-resolution. IEEE Geoscience and Remote Sensing Letters, 2022.

  • S. Peng, L.-J. Deng, J.-F. Hu, and Y.-W. Zhuo. Source-Adaptive Discriminative Kernels based Network for Remote Sensing Pansharpening. International Joint Conferences on Artificial Intelligence (IJCAI), 2022. [BibTeX]

@ARTICLE{pengijcai2022,
	author={S. Peng, L.-J. Deng, J.-F. Hu, and Y.-W. Zhuo},
	journal={International Joint Conferences on Artificial Intelligence (IJCAI)}, 
	title={Source-Adaptive Discriminative Kernels based Network for Remote Sensing Pansharpening}, 
	year={2022},
	volume={},
	number={},
	pages={},
	doi={}
   }
  • J.-F. Hu, T.-Z. Huang, L.-J. Deng, T.-X. Jiang, G. Vivone, and J. Chanussot. Hyperspectral Image Super-Resolution via Deep Spatiospectral Attention Convolutional Neural Networks. IEEE Transactions on Neural Networks and Learning Systems, 2021, doi: 10.1109/TNNLS.2021.3084682. (ESI Highly Cited) [Project Page][PDF][BibTeX]
@ARTICLE{Hutnnls,
	author={Hu, Jin-Fan and Huang, Ting-Zhu and Deng, Liang-Jian and Jiang, Tai-Xiang and Vivone, Gemine and Chanussot, Jocelyn},
	journal={IEEE Transactions on Neural Networks and Learning Systems}, 
	title={Hyperspectral Image Super-Resolution via Deep Spatiospectral Attention Convolutional Neural Networks}, 
	year={2021},
	doi={10.1109/TNNLS.2021.3084682}
   }
  • T. Xu, T.-Z. Huang, L.-J. Deng, X.-L Zhao, and J.-F. Hu. Exemplar-based Image Inpainting Using Adaptive Two-Stage Structure-Tensor Based Priority Function and Nonlocal Filtering. Journal of Visual Communication and Image Representation, 2021. [BibTeX]
@article{xu2022exemplar,
  title={Exemplar-based image inpainting using adaptive two-stage structure-tensor based priority function and nonlocal filtering},
  author={Xu, Ting and Huang, Ting-Zhu and Deng, Liang-Jian and Zhao, Xi-Le and Hu, Jin-Fan},
  journal={Journal of Visual Communication and Image Representation},
  pages={103430},
  year={2022},
  publisher={Elsevier}
}
  • Z.-C. Wu, T.-Z. Huang, L.-J. Deng, J.-F. Hu, and G. Vivone. VO+ Net: An Adaptive Approach Using Variational Optimization and Deep Learning for Panchromatic Sharpening. IEEE Transactions on Geoscience and Remote Sensing, 2021, doi: 10.1109/TGRS.2021.3066425. (ESI Highly Cited) [Project page][PDF][BibTeX]
@ARTICLE{Wu2021VO,
	author={Z.-C. Wu and T.-Z. Huang and L.-J. Deng and J.-F. Hu and G. Vivone},
	journal={IEEE Transactions on Geoscience and Remote Sensing},
	title={VO+Net: An Adaptive Approach Using Variational Optimization and Deep Learning for Panchromatic Sharpening},
	year={2021},
	doi={10.1109/TGRS.2021.3066425}
   }
  • Z.-C. Wu, T.-Z. Huang, L.-J. Deng, G. Vivone, J.-Q Miao, J.-F. Hu, and X.-L Zhao. A New Variational Approach Based on Proximal Deep Injection and Gradient Intensity Similarity for Spatio-Spectral Image Fusion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 6277-6290, 2020. [Project page][PDF][BibTeX]
@ARTICLE{Wu,  
  title={A new variational approach based on proximal deep injection and gradient intensity similarity for spatio-spectral image fusion},
   author={Wu, Zhong-Cheng and Huang, Ting-Zhu and Deng, Liang-Jian and Vivone, Gemine and Miao, Jia-Qing and Hu, Jin-Fan and Zhao, Xi-Le},
   journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
   volume={13},
   pages={6277--6290},
   year={2020},
   publisher={IEEE}
   }

(* Equal contributions)

๐Ÿ“– Experiences

  • 09/2022-present: Ph.D. student in computer science. (Supervisor: Prof. Chao Dong); Shenzhen Institute of Advanced Technology (SIAT), University of Chinese Academy of Sciences (UCAS)

  • 09/2019-06/2022: Master student in mathematics. (Supervisor: Prof. Ting-Zhu Huang and Prof. Liang-Jian Deng); University of Electronic Science and Technology of China (UESTC)

  • 09/2015-06/2019: Bachelor student in information and computing science; University of Electronic Science and Technology of China (UESTC)

๐Ÿ† Honors and Awards

  • 2nd Place in ECCV MIPI 2022 Challenge on UDC image restoration, 2022

  • National Scholarship, 2021

  • National First Prize of CUMCM, 2017

๐Ÿ’ฌ Academic Activities

Review Editor:

  • Frontiers in Remote Sensing

Peer-Reviewer:

  • IEEE Transactions on Cybernetics (IEEE TCYB)

  • IEEE Transactions on Geoscience And Remote Sensing (IEEE TGRS)

  • IEEE Geoscience and Remote Sensing Letters (IEEE GRSL)

  • IEEE Transactions on Computational Imaging (IEEE TCI)