Lerenhan Li (李乐仁瀚)

Ph.D. Candidate, Huazhong University of Science and Technology

Email: lrhli at hust [dot] edu [dot] cn

lerenhanli at gmail [dot] com

Biography

I am currently a Ph.D. candidate in the School of Automation, Huazhong University of Science and Technology, supervised by Prof. Nong Sang, and also a research intern at SenseTime, working with Jimmy S. Ren. Before that, I was a joint-training Ph.D. student in the Vision and Learning Lab., Department of Electrical Engineering and Computer Science, University of California at Merced, supervised by Prof. Ming-Hsuan Yang. I received the B. Eng. degree in the School of Automation, Huazhong University of Science and Technology.

My current research interests focus on image deblurring, image dehazing, computer vision and machine learning.

Education and Experience

2018.10 - present, Research Intern, SenseTime

2015.09 - present, Ph.D. in School of Automation, Huazhong University of Science and Technology

2017.09 - 2018.09, joint-training Ph.D. in EECS, University of California, Merced

2013.09 - 2014.08, M.E. in School of Automation, Huazhong University of Science and Technology

2009.09 - 2013.07, B.E. in School of Automation, Huazhong University of Science and Technology

News

2018.10: Start my intership at SenseTime

2018.09: Finish the visiting at VLLab, UC Merced and go back to China

2018.03: One paper is accepted in CVPR2018

2017.10: Start to visit VLLab, UC Merced as a joint-training Ph.D. student, supervised by Ming-Hsuan Yang

Selected Publications

Lerenhan Li, Jinshan Pan, Wei-Sheng Lai, Changxin Gao, Nong Sang*, and Ming-Hsuan Yang, "Learning a Discriminative Prior for Blind Image Deblurring", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

[Project webpage] [Paper]

Lerenhan Li, Nong Sang, Luxin Yan*, and Changxin Gao, "Motion-blur Kernel Size Estimation via Learning a Convolutional Neural Network", Pattern Recognition Letters (PRL), 2017.

[Paper]