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20112023
most citedA Second Order Non-Smooth Variational Model for Restoring Manifold-Valued Images

95 citations · 768 across the 58 of their papers we have counts for

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7 papers · 1 filter

math.OC2022★ 10 cited

Wasserstein Steepest Descent Flows of Discrepancies with Riesz Kernels

Johannes Hertrich, Manuel Gräf, Robert Beinert +1

The aim of this paper is twofold. Based on the geometric Wasserstein tangent space, we first introduce Wasserstein steepest descent flows. These are locally absolutely continuous c…

math.NA2022★ 5 cited

Motion Detection in Diffraction Tomography by Common Circle Methods

Michael Quellmalz, Peter Elbau, Otmar Scherzer +1

The method of common lines is a well-established reconstruction technique in cryogenic electron microscopy (cryo-EM), which can be used to extract the relative orientations of an o…

math.NA2022★ 1 cited

On Assignment Problems Related to Gromov-Wasserstein Distances on the Real Line

Robert Beinert, Cosmas Heiss, Gabriele Steidl

Let and , , be real numbers. We show by an example that the assignment problem $$ \max_{σ\in S_n} F_σ(x,y) := \frac12 \sum_{…

cs.LG2022★ 26 cited

PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization

Fabian Altekrüger, Alexander Denker, Paul Hagemann +3

Learning neural networks using only few available information is an important ongoing research topic with tremendous potential for applications. In this paper, we introduce a power…

math.OC2022★ 5 cited

Multi-Marginal Gromov-Wasserstein Transport and Barycenters

Florian Beier, Robert Beinert, Gabriele Steidl

Gromov-Wasserstein (GW) distances are combinations of Gromov-Hausdorff and Wasserstein distances that allow the comparison of two different metric measure spaces (mm-spaces). Due t…

cs.CV2022★ 16 cited

Lagrangian Motion Magnification with Double Sparse Optical Flow Decomposition

Philipp Flotho, Cosmas Heiss, Gabriele Steidl +1

Microexpressions are fast and spatially small facial expressions that are difficult to detect. Therefore motion magnification techniques, which aim at amplifying and hence revealin…

math.FA2022

Quasi -Firmly Nonexpansive Mappings in Wasserstein Spaces

Arian Bërdëllima, Gabriele Steidl

This paper introduces the concept of quasi -firmly nonexpansive mappings in Wasserstein spaces over and analyzes properties of these mappings. We prove that for qu…