1.4k citations · 2.8k across the 56 of their papers we have counts for
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Acceleration of the PDHGM on strongly convex subspaces
Tuomo Valkonen, Thomas Pock
We propose several variants of the primal-dual method due to Chambolle and Pock. Without requiring full strong convexity of the objective functions, our methods are accelerated on…
Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration
Yunjin Chen, Thomas Pock
Image restoration is a long-standing problem in low-level computer vision with many interesting applications. We describe a flexible learning framework based on the concept of nonl…
On learning optimized reaction diffusion processes for effective image restoration
Yunjin Chen, Wei Yu, Thomas Pock
For several decades, image restoration remains an active research topic in low-level computer vision and hence new approaches are constantly emerging. However, many recently propos…
Total variation on a tree
Vladimir Kolmogorov, Thomas Pock, Michal Rolinek
We consider the problem of minimizing the continuous valued total variation subject to different unary terms on trees and propose fast direct algorithms based on dynamic programmin…