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Research Engineer
Huawei
Email: lerenhanli at gmail [dot] com
Biography
Biography
I am currently a research engineer at Huawei. Before that, I got my Ph.D. degree in the School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, supervised by Prof. Nong Sang. I was also a research intern at SenseTime, working with Jimmy S. Ren, 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 low level computer vision problems and deep learning.
News
News
2019.09: One paper is accepted to TIP
2019.08: Successfully defense my Ph.D. thesis!
2019.07: One paper is accepted to BMVC2019
2018.12: One paper is accepted to IJCV
2018.10: Start my internship at SenseTime
2018.09: Finish the visiting at VLLab, UC Merced and go back to China
2018.03: One paper is accepted to CVPR2018
2017.10: Start to visit VLLab, UC Merced as a joint-training Ph.D. student, supervised by Ming-Hsuan Yang
Education and Experience
Education and Experience
2019.10 - present Research engineer, Huawei
2015.09 - 2019.09, Ph.D. in School of Artificial Intelligence and Automation, Huazhong University of Science and Technology
2018.10 - 2019.03, Research Intern, SenseTime
2017.09 - 2018.09, joint-training Ph.D. in EECS, University of California at Merced
2013.09 - 2014.08, M.E. in School of Artificial Intelligence and Automation, Huazhong University of Science and Technology
2009.09 - 2013.07, B.E. in School of Artificial Intelligence and Automation, Huazhong University of Science and Technology
Selected Publications
Selected Publications
Lerenhan Li*, Yulong Dong*, Wenqi Ren, Jinshan Pan, Changxin Gao, Nong Sang, Ming-Hsuan Yang, "Semi-supervised Image Dehazing", IEEE Transactions on Image Processing (TIP), 2019.
[Project webpage] [Paper] (coming soon)
Ruochen Zheng, Lerenhan Li, Chuchu Han, Changxin Gao, Nong Sang, "Camera Style and Identity Disentangling Network for Person Re-identification ", British Machine Vision Conference (BMVC), 2019.
[Project webpage] [Paper] (coming soon)
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.
Lerenhan Li, Jinshan Pan, Wei-Sheng Lai, Changxin Gao, Nong Sang, and Ming-Hsuan Yang, "Blind Image Deblurring via Deep Discriminative Priors", International Journal of Computer Vision (IJCV), 2019.
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]
Journal/Conference Reviewer
Journal/Conference Reviewer
Journal: IEEE Transactions on Image Processing
Neurocomputing
Conference: CVPR 2019, 2020
ICCV 2019
AAAI 2020
WACV 2020
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