Robust Modeling In Image Processing
A/Prof. Cheng-Long Bao
Yau Mathematical Sciences Center

Imaging is a complex and highly nonlinear process such that the first order approximation is applied in practice. This approximation always contains errors which may significantly degraded the performance. In this talk, I will discuss the methods that alleviate the error effects using both mathematical and deep learning methods.

About the Speaker

包承龙,清华大学丘成桐数学科学中心,助理教授。2009年本科毕业于中山大学数学系,2014年博士毕业于新加坡国立大学数学系,2015年至2018年在新加坡国立大学数学系进行博士后研究。 其研究兴趣主要在数学图像处理的模型与算法方面,目前已在IEEE TPAMI, SIIMS, SISC, ACHA等期刊或CVPR,ICML,NeurIPS,  ICLR等会议上共计发表学术论文20余篇。

2021-05-18 10:00 AM
Room: A203 Meeting Room
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