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International Workshop on Recent Advances on Mathematical Imaging and Data Science (July 2-6, 2019, SJTU)

Model Meets Deep Learning: Model-Driven Deep Learning in Image Analysis

Speaker

Jian Sun , Xi'an Jiao Tong University, China

Time

03 Jul, 14:30 - 15:00

Abstract

In this talk, I will show that several conventional mathematical models in imaging sciences, such as sparsity models, random field models, diffusion models, etc., can inspire novel deep learning architectures. This idea opens a door for bridging the gap between mathematical modeling and deep learning, and benefits both domains. I will present our several recent advances along this line of research, and illustrate their applications in natural image analysis and medical imaging.