From dc57a6f58988cd9a207a78ca814093b0976b86bd Mon Sep 17 00:00:00 2001 From: Syneh Date: Mon, 25 Sep 2017 19:45:12 +0800 Subject: [PATCH] Update README.md --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 88a5c41..a2e8dca 100644 --- a/README.md +++ b/README.md @@ -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! ------- -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.