Please write about a deep learning expert in your README.md.
he/she can be a professor (e.g., Yann LeCun), a Ph.D student (e.g., Joseph Chet Redmon), a hacker (e.g., Flood Sung), a researcher (e.g., John Schulman), an enginner (e.g., Soumith Chintala), an entrepreneur (e.g., Matthew Zeiler), etc.
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!
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.