Biography


Jin-Fan Hu/Jinfan Hu (胡锦帆) will pursue the Ph.D. degree in XPixel, Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), in 2022. He will be supervised by Prof. Chao Dong. He will obtain the M.S. degree in Mathematics (supervised by Prof. Ting-Zhu Huang and Prof. Liang-Jian Deng) with the School of Mathematical Sciences, University of Electronic Science and Technology of China (UESTC), Chengdu, China. His research interests include image processing and deep learning.

Email: hujf0206@163.com
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Publications

Accepted

  • 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. [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}
   }
  • S. Peng, J.-F. Hu, Y.-W. Zhuo, L.-J. Deng. 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={}
   }
  • 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. [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}
   }

Under Review

  • 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.

  • J.-F. Hu, T.-Z. Huang, L.-J. Deng, T.-X. Jiang, J. Chanussot and G. Vivone. PIRNet: A Progressive Iterative Residual Network for Hyperspectral Image Super-resolution. IEEE Transactions on Image Processing.

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

  • 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.


Experiences

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

  • 09/2015-06/2019: University of Electronic Science and Technology of China (UESTC); Bachelor student in Information and Computing Science.


Honors and Awards

  • National Scholarship, UESTC, 2021

  • Academic Scholarship, UESTC, 2020 and 2021

  • National First Prize of CUMCM, UESTC, 2017

  • People Scholarship, UESTC, 2017 and 2018


Academic Activities

Peer-Reviewer:

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

  • IEEE Geoscience and Remote Sensing Letters (IEEE GRSL)

  • IEEE Transactions on Computational Imaging (IEEE TCI)