Thomas Pock: Total Variation for Image Processing

Описание к видео Thomas Pock: Total Variation for Image Processing

Thomas Pock (TU Graz): Total Variation for Image Processing
TACO Colloquium, 19 June 2023

Abstract: In this talk, I introduce the "Total Variation" as a flexible and powerful mathematical model for solving various problems in image processing and computer vision. I motivate the concept of the total variation, highlight a few mathematical properties and show how it can be used to solve various problems in image processing and computer vision. I also show how total-variation-related optimization problems can be efficiently solved with first-order primal-dual algorithms.

Bio: Thomas Pock received his MSc (1998-2004) and his Ph.D. (2005-2008) in Computer Engineering (Telematik) from TU Graz. After a postdoc position at the University of Bonn, he moved back to TU Graz where he has been an Assistant Professor at the Institute of Computer Graphics and Vision. In 2013, Thomas Pock received the START prize of the Austrian Science Fund (FWF) and the German Pattern Recognition Award of the German Association for Pattern Recognition (DAGM). In 2014, he received a starting grant from the European Research Council (ERC). Since 2014, Thomas Pock is a Professor of Computer Science at TU Graz, where he is leading the vision, learning, and optimization (VLO) group. In 2019, he became a member (reporter) of the FWF board for the section of computer science. The focus of his research is image processing, computer vision, inverse problems, convex and non-smooth optimization, and machine learning.

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