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105062576_hw0 #43

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3 changes: 2 additions & 1 deletion README.md
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Expand Up @@ -5,4 +5,5 @@ To avoid writing the same person, please report the person's name in
https://docs.google.com/spreadsheets/d/153XruMO7DPONzBTkxh8ZoYSto1E_2zO021vs0prWZ_Q/edit?usp=sharing
First come first serve!
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Write here
Jinshan Pan, a Ph.D. student School of Mathematical Sciences, Dalian University of Technology and Electrical Engineering and Computer Science, University of California at Merced, directed by Profs. Zhixun Su and Ming-Hsuan Yang.He was a visiting Ph.D. student in Visual Computing Group at Harvard University, working with Prof. Hanspeter Pfister and Dr. Deqing Sun in 2015. His research interest includes image deblurring, image/video analysis and enhancement, and related vision problems.
I choose him to write about because I've studied his severel papers that he used deep learning network to deblur images. "Learning Fully Convolutional Networks for Iterative Non-blind Deconvolution", arXiv preprint in 2017, is a paper that he introduce a fully convolutional neruel network(FCNN) on denoising to help the convolutional part do better results. "Learning Recursive Filters for Low-Level Vision via a Hybrid Neural Network", ECCV in 2016, is a paper that use RNN and CNN to learn filters for image denoising. In the future, I believe that he will propose more papers using deep learning for deblurring, denoising etc. So I will keep folowing him.