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學術講座

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2020年10月29日學術報告(許翔宇 博士 美國卡耐基梅隆大學)
2020年10月28日21時 人評論

報告題目:Image Enhancement with Deep Learning

報告時間:2020年10月29日(周10:00

報告地點:國家多媒體工程技術研究中心會議室武漢大學本科生院樓六樓

南樓613

報告人:許翔宇

報告人單位:美國卡耐基梅隆大學

報告人簡介: 

Xiangyu Xu has been a postdoc researcher at Carnegie Mellon University and Massachusetts Institute of Technology from 2019 to 2020. He received the B.E. and Ph.D. degrees in 2013 and 2018 from the Department of Electronic Engineering, Tsinghua University, Beijing, China. He was a research scientist at SenseTime, Beijing. He was a visiting researcher at University of California, Merced and Harvard University. His research interest includes image processing, computer vision, and machine learning. He regularly serves on program committees and reviews papers for major computer vision and machine learning conferences and journals.  He published over 10 papers on  CCF A ranked top conferences and journals, including IEEE TPAMI、NeurIPS、ICML、CVPR、ICCV.

報告摘要:

Image enhancement is an important research field, lying at the intersection of computer vision, signal processing, and computer graphics. It aims to improve the perception quality and/or enhance the visual contents of the original image, and has wide applications in film industry, social media, video surveillance, and remote sensing. In this seminar, I will give an overview of several representative works on image enhancement using deep learning techniques. In particular, I will go deeper into two of my most recent works, including quadratic video interpolation (NeurIPS'19), and 3D human reconstruction from low-resolution input (ECCV'20).

邀請人:杜博 教授


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