Gabriele Steidl

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 87

Top Venues

CoRR

J. Math. Imaging Vis.

SSVM

SIAM J. Imaging Sci.

University of Rostock, Germany (PHD)

Education History

University of Rostock, Germany

PHD

Publications

Fatima Antarou Ba, Oleh Melnyk, Christian Wald, Gabriele Steidl
Sparse additive function decompositions facing basis transforms. CoRR (2024)
Jannis Chemseddine, Paul Hagemann, Christian Wald, Gabriele Steidl
Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching. CoRR (2024)
Oleh Melnyk, Michael Quellmalz, Gabriele Steidl, Noah Jaitner, Jakob Jordan, Ingolf Sack
Time-Harmonic Optical Flow with Applications in Elastography. CoRR (2024)
Paul Hagemann, Johannes Hertrich, Maren Casfor, Sebastian Heidenreich, Gabriele Steidl
Mixed Noise and Posterior Estimation with Conditional DeepGEM. CoRR (2024)
Michael Quellmalz, Léo Buecher, Gabriele Steidl
Parallelly Sliced Optimal Transport on Spheres and on the Rotation Group. CoRR (2024)
Sebastian Neumayer, Viktor Stein, Gabriele Steidl
Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces. CoRR (2024)
Florian Beier, Hancheng Bi, Clément Sarrazin, Bernhard Schmitzer, Gabriele Steidl
Transfer Operators from Batches of Unpaired Points via Entropic Transport Kernels. CoRR (2024)
Robert Beinert, Arian Bërdëllima, Manuel Gräf, Gabriele Steidl
On the dynamical system of principal curves in. Commun. Stat. Simul. Comput. 53 (6) (2024)
Martin Hanik, Gabriele Steidl, Christoph von Tycowicz
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs. CoRR (2024)
Paul Hagemann, Johannes Hertrich, Fabian Altekrüger, Robert Beinert, Jannis Chemseddine, Gabriele Steidl
Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel. ICLR (2024)
Paul Hagemann, Johannes Hertrich, Maren Casfor, Sebastian Heidenreich, Gabriele Steidl
Mixed noise and posterior estimation with conditional deepGEM. Mach. Learn. Sci. Technol. 5 (3) (2024)
Michael Quellmalz, Robert Beinert, Gabriele Steidl
Sliced Optimal Transport on the Sphere. CoRR (2023)
Robert Beinert, Jonas Bresch, Gabriele Steidl
Denoising of Sphere- and SO(3)-Valued Data by Relaxed Tikhonov Regularization. CoRR (2023)
Christian Wald, Gabriele Steidl
A Study of Particle Motion in the Presence of Clusters. CoRR (2023)
Johannes Hertrich, Robert Beinert, Manuel Gräf, Gabriele Steidl
Wasserstein Gradient Flows of the Discrepancy with Distance Kernel on the Line. CoRR (2023)
Fabian Altekrüger, Johannes Hertrich, Gabriele Steidl
Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels. ICML (2023)
Fabian Altekrüger, Paul Hagemann, Gabriele Steidl
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems. CoRR (2023)
Fabian Altekrüger, Paul Hagemann, Gabriele Steidl
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems. Trans. Mach. Learn. Res. 2023 (2023)
Philipp Flotho, Cosmas Heiss, Gabriele Steidl, Daniel J. Strauss
Lagrangian motion magnification with double sparse optical flow decomposition. Frontiers Appl. Math. Stat. 9 (2023)
Johannes Hertrich, Robert Beinert, Manuel Gräf, Gabriele Steidl
Wasserstein Gradient Flows of the Discrepancy with Distance Kernel on the Line. SSVM (2023)
Michael Quellmalz, Peter Elbau, Otmar Scherzer, Gabriele Steidl
Motion detection in diffraction tomography by common circle methods. Math. Comput. 93 (346) (2023)
Florian Beier, Johannes von Lindheim, Sebastian Neumayer, Gabriele Steidl
Unbalanced Multi-marginal Optimal Transport. J. Math. Imaging Vis. 65 (3) (2023)
Fabian Altekrüger, Johannes Hertrich, Gabriele Steidl
Neural Wasserstein Gradient Flows for Maximum Mean Discrepancies with Riesz Kernels. CoRR (2023)
Johannes von Lindheim, Gabriele Steidl
Generalized Iterative Scaling for Regularized Optimal Transport with Affine Constraints: Application Examples. CoRR (2023)
Robert Beinert, Cosmas Heiss, Gabriele Steidl
On Assignment Problems Related to Gromov-Wasserstein Distances on the Real Line. SIAM J. Imaging Sci. 16 (2) (2023)
Paul Hagemann, Johannes Hertrich, Fabian Altekrüger, Robert Beinert, Jannis Chemseddine, Gabriele Steidl
Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel. CoRR (2023)
Max Kahl, Stefania Petra, Christoph Schnörr, Gabriele Steidl, Matthias Zisler
On the Remarkable Efficiency of SMART. SSVM (2023)
Paul Hagemann, Lars Ruthotto, Gabriele Steidl, Nicole Tianjiao Yang
Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation. CoRR (2023)
Moritz Piening, Fabian Altekrüger, Johannes Hertrich, Paul Hagemann, Andrea Walther, Gabriele Steidl
Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction. CoRR (2023)
Manuel Gräf, Sebastian Neumayer, Ralf Hielscher, Gabriele Steidl, Moritz Liesegang, Tilmann Beck
An Image Registration Model in Electron Backscatter Diffraction. SIAM J. Imaging Sci. 15 (1) (2022)
Philipp Flotho, Cosmas Heiss, Gabriele Steidl, Daniel J. Strauss
Lagrangian Motion Magnification with Double Sparse Optical Flow Decomposition. CoRR (2022)
Florian Beier, Robert Beinert, Gabriele Steidl
On a Linear Gromov-Wasserstein Distance. IEEE Trans. Image Process. 31 (2022)
Florian Beier, Robert Beinert, Gabriele Steidl
Multi-Marginal Gromov-Wasserstein Transport and Barycenters. CoRR (2022)
Robert Beinert, Cosmas Heiss, Gabriele Steidl
On Assignment Problems Related to Gromov-Wasserstein Distances on the Real Line. CoRR (2022)
Michael Quellmalz, Peter Elbau, Otmar Scherzer, Gabriele Steidl
Motion Detection in Diffraction Tomography by Common Circle Methods. CoRR (2022)
Philipp Flotho, Cosmas Heiß, Gabriele Steidl, Daniel J. Strauss
Lagrangian Motion Magnification with Landmark-Prior and Sparse PCA for Facial Microexpressions and Micromovements. EMBC (2022)
Paul Hagemann, Johannes Hertrich, Gabriele Steidl
Stochastic Normalizing Flows for Inverse Problems: A Markov Chains Viewpoint. SIAM/ASA J. Uncertain. Quantification 10 (1) (2022)
Johannes Hertrich, Manuel Gräf, Robert Beinert, Gabriele Steidl
Wasserstein Steepest Descent Flows of Discrepancies with Riesz Kernels. CoRR (2022)
Fabian Altekrüger, Alexander Denker, Paul Hagemann, Johannes Hertrich, Peter Maass, Gabriele Steidl
PatchNR: Learning from Small Data by Patch Normalizing Flow Regularization. CoRR (2022)
Anna Andrle, Nando Farchmin, Paul Hagemann, Sebastian Heidenreich, Victor Soltwisch, Gabriele Steidl
Invertible Neural Networks versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence. CoRR (2021)
Paul Hagemann, Johannes Hertrich, Gabriele Steidl
Stochastic Normalizing Flows for Inverse Problems: a Markov Chains Viewpoint. CoRR (2021)
Clemens Kirisits, Michael Quellmalz, Monika Ritsch-Marte, Otmar Scherzer, Eric Setterqvist, Gabriele Steidl
Fourier reconstruction for diffraction tomography of an object rotated into arbitrary orientations. CoRR (2021)
Johannes Hertrich, Paul Hagemann, Gabriele Steidl
A Unified Approach to Variational Autoencoders and Stochastic Normalizing Flows via Markov Chains. CoRR (2021)
Martin Ehler, Manuel Gräf, Sebastian Neumayer, Gabriele Steidl
Curve Based Approximation of Measures on Manifolds by Discrepancy Minimization. Found. Comput. Math. 21 (6) (2021)
Marzieh Hasannasab, Johannes Hertrich, Friederike Laus, Gabriele Steidl
Correction to: Alternatives to the EM algorithm for ML estimation of location, scatter matrix, and degree of freedom of the Student t distribution. Numer. Algorithms 88 (1) (2021)
Florian Beier, Robert Beinert, Gabriele Steidl
On a linear Gromov-Wasserstein distance. CoRR (2021)
Robert Beinert, Gabriele Steidl
Robust PCA via Regularized Reaper with a Matrix-Free Proximal Algorithm. J. Math. Imaging Vis. 63 (5) (2021)
Marzieh Hasannasab, Johannes Hertrich, Friederike Laus, Gabriele Steidl
Alternatives to the EM algorithm for ML estimation of location, scatter matrix, and degree of freedom of the Student t distribution. Numer. Algorithms 87 (1) (2021)
Anna Andrle, Nando Farchmin, Paul Hagemann, Sebastian Heidenreich, Victor Soltwisch, Gabriele Steidl
Invertible Neural Networks Versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence. SSVM (2021)
Robert Beinert, Peter Jung, Gabriele Steidl, Tom Szollmann
Super-Resolution for Doubly-Dispersive Channel Estimation. CoRR (2021)
Johannes Hertrich, Sebastian Neumayer, Gabriele Steidl
Convolutional Proximal Neural Networks and Plug-and-Play Algorithms. CoRR (2020)
Péter Koltai, Johannes von Lindheim, Sebastian Neumayer, Gabriele Steidl
Transfer Operators from Optimal Transport Plans for Coherent Set Detection. CoRR (2020)
Diego Havenstein, Peter Lysakovski, Norman May, Guido Moerkotte, Gabriele Steidl
Fast Entropy Maximization for Selectivity Estimation of Conjunctive Predicates on CPUs and GPUs. EDBT (2020)
Johannes Hertrich, Gabriele Steidl
Inertial Stochastic PALM and its Application for Learning Student-t Mixture Models. CoRR (2020)
Thomas Batard, Johannes Hertrich, Gabriele Steidl
Variational Models for Color Image Correction Inspired by Visual Perception and Neuroscience. J. Math. Imaging Vis. 62 (9) (2020)
Robert Beinert, Gabriele Steidl
Robust PCA via Regularized REAPER with a Matrix-Free Proximal Algorithm. CoRR (2020)
Johannes Hertrich, Dang Phoung Lan Nguyen, Jean-François Aujol, Dominique Bernard, Yannick Berthoumieu, Abdellativ Sa'adaldin, Gabriele Steidl
PCA Reduced Gaussian Mixture Models with Applications in Superresolution. CoRR (2020)
Gabriele Steidl, Maximilian Winkler
A New Constrained Optimization Model for Solving the Nonsymmetric Stochastic Inverse Eigenvalue Problem. CoRR (2020)
Raymond H. Chan, Albert Cohen, Jalal Fadili, Alfred O. Hero III, Gabriele Steidl
Guest Editorial: Special Issue in Memory of Mila Nikolova. J. Math. Imaging Vis. 62 (6-7) (2020)
Jean-François Aujol, Jalal Fadili, Michael Hintermüller, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl
Guest Editorial JMIV Special Issue Mathematics and Image Analysis (MIA). J. Math. Imaging Vis. 61 (5) (2019)
Friederike Laus, Gabriele Steidl
Multivariate Myriad Filters Based on Parameter Estimation of Student-t Distributions. SIAM J. Imaging Sci. 12 (4) (2019)
Stephan Dahlke, Q. Jahan, Cornelia Schneider, Gabriele Steidl, Gerd Teschke
Traces of shearlet coorbit spaces on domains. Appl. Math. Lett. 91 (2019)
Xiaohao Cai, Raymond H. Chan, Carola-Bibiane Schönlieb, Gabriele Steidl, Tieyong Zeng
Linkage Between Piecewise Constant Mumford-Shah Model and Rudin-Osher-Fatemi Model and Its Virtue in Image Segmentation. SIAM J. Sci. Comput. 41 (6) (2019)
Thomas Batard, Eduard Ramon Maldonado, Gabriele Steidl, Marcelo Bertalmío
A Connection Between Image Processing and Artificial Neural Networks Layers Through a Geometric Model of Visual Perception. SSVM (2019)
Johannes Hertrich, Miroslav Bacák, Sebastian Neumayer, Gabriele Steidl
Minimal Lipschitz Extensions for Vector-Valued Functions on Finite Graphs. SSVM (2019)
Marzieh Hasannasab, Johannes Hertrich, Friederike Laus, Gabriele Steidl
Alternatives of the EM Algorithm for Estimating the Parameters of the Student-t Distribution. CoRR (2019)
Marzieh Hasannasab, Johannes Hertrich, Sebastian Neumayer, Gerlind Plonka, Simon Setzer, Gabriele Steidl
Parseval Proximal Neural Networks. CoRR (2019)
Sebastian Neumayer, Johannes Persch, Gabriele Steidl
Morphing of Manifold-Valued Images Inspired by Discrete Geodesics in Image Spaces. SIAM J. Imaging Sci. 11 (3) (2018)
Ronny Bergmann, Jan Henrik Fitschen, Johannes Persch, Gabriele Steidl
Priors with Coupled First and Second Order Differences for Manifold-Valued Image Processing. J. Math. Imaging Vis. 60 (9) (2018)
Friederike Laus, Fabien Pierre, Gabriele Steidl
Nonlocal Myriad Filters for Cauchy Noise Removal. J. Math. Imaging Vis. 60 (8) (2018)
Xiaohao Cai, Raymond H. Chan, Carola-Bibiane Schönlieb, Gabriele Steidl, Tieyong Zeng
Linkage between Piecewise Constant Mumford-Shah model and ROF model and its virtue in image segmentation. CoRR (2018)
Johannes Persch, Fabien Pierre, Gabriele Steidl
Examplar-Based Face Colorization Using Image Morphing. CoRR (2017)
Ronny Bergmann, Jan Henrik Fitschen, Johannes Persch, Gabriele Steidl
Infimal Convolution Coupling of First and Second Order Differences on Manifold-Valued Images. SSVM (2017)
Jalal Fadili, Gitta Kutyniok, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl
JMIV Special Issue Mathematics and Image Analysis. J. Math. Imaging Vis. 59 (3) (2017)
Benjamin Bauer, Xiaohao Cai, Stephan Peth, Katja Schladitz, Gabriele Steidl
Variational-based segmentation of bio-pores in tomographic images. Comput. Geosci. 98 (2017)
Jan Henrik Fitschen, Katharina Losch, Gabriele Steidl
Unsupervised multi class segmentation of 3D images with intensity inhomogeneities. J. Vis. Commun. Image Represent. 46 (2017)
Ronny Bergmann, Jan Henrik Fitschen, Johannes Persch, Gabriele Steidl
Iterative Multiplicative Filters for Data Labeling. Int. J. Comput. Vis. 123 (3) (2017)
Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Gabriele Steidl, Vinh-Thong Ta
Variational Contrast Enhancement of Gray-Scale and RGB Images. J. Math. Imaging Vis. 57 (1) (2017)
Sebastian Neumayer, Max Nimmer, Gabriele Steidl, Henrike Stephani
On a Projected Weiszfeld Algorithm. SSVM (2017)
Johannes Persch, Fabien Pierre, Gabriele Steidl
Exemplar-Based Face Colorization Using Image Morphing. J. Imaging 3 (4) (2017)
Miroslav Bacák, Martin J. Montag, Gabriele Steidl
Convergence of functions and their Moreau envelopes on Hadamard spaces. J. Approx. Theory 224 (2017)
Friederike Laus, Mila Nikolova, Johannes Persch, Gabriele Steidl
A Nonlocal Denoising Algorithm for Manifold-Valued Images Using Second Order Statistics. SIAM J. Imaging Sci. 10 (1) (2017)
Miroslav Bacák, Ronny Bergmann, Gabriele Steidl, Andreas Weinmann
A Second Order Nonsmooth Variational Model for Restoring Manifold-Valued Images. SIAM J. Sci. Comput. 38 (1) (2016)
Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Gabriele Steidl, Vinh-Thong Ta
Hue-preserving perceptual contrast enhancement. ICIP (2016)
Friederike Laus, Johannes Persch, Gabriele Steidl
A Nonlocal Denoising Algorithm for Manifold-Valued Images Using Second Order Statistics. CoRR (2016)
Jan Henrik Fitschen, Friederike Laus, Gabriele Steidl
Transport Between RGB Images Motivated by Dynamic Optimal Transport. J. Math. Imaging Vis. 56 (3) (2016)
Ronny Bergmann, Johannes Persch, Gabriele Steidl
A Parallel Douglas-Rachford Algorithm for Minimizing ROF-like Functionals on Images with Values in Symmetric Hadamard Manifolds. SIAM J. Imaging Sci. 9 (3) (2016)
Guido Moerkotte, Martin J. Montag, Audrey Repetti, Gabriele Steidl
Proximal operator of quotient functions with application to a feasibility problem in query optimization. J. Comput. Appl. Math. 285 (2015)
Jérôme Fehrenbach, Mila Nikolova, Gabriele Steidl, Pierre Weiss
Bilevel Image Denoising Using Gaussianity Tests. SSVM (2015)
Jalal Fadili, Gitta Kutyniok, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl
Guest Editorial: Mathematics and Image Analysis. J. Math. Imaging Vis. 52 (3) (2015)
Jan Henrik Fitschen, Mila Nikolova, Fabien Pierre, Gabriele Steidl
A Variational Model for Color Assignment. SSVM (2015)
Frank Balle, Dietmar Eifler, Jan Henrik Fitschen, Sebastian Schuff, Gabriele Steidl
Computation and Visualization of Local Deformation for Multiphase Metallic Materials by Infimal Convolution of TV-Type Functionals. SSVM (2015)
Mila Nikolova, Gabriele Steidl
Fast Hue and Range Preserving Histogram Specification: Theory and New Algorithms for Color Image Enhancement. IEEE Trans. Image Process. 23 (9) (2014)
Martin Burger, Alex Sawatzky, Gabriele Steidl
First order algorithms in variational image processing. CoRR (2014)
Zeinab Mortezapouraghdam, Lars Haab, Gabriele Steidl, Daniel J. Strauss
Detection of change points in phase data: A Bayesian analysis of habituation processes. EMBC (2014)
Mila Nikolova, Gabriele Steidl
Fast Ordering Algorithm for Exact Histogram Specification. IEEE Trans. Image Process. 23 (12) (2014)
F. Baus, Mila Nikolova, Gabriele Steidl
Fully Smoothed ℓ 1-TV Models: Bounds for the Minimizers and Parameter Choice. J. Math. Imaging Vis. 48 (2) (2014)
Sung Ha Kang, Behrang Shafei, Gabriele Steidl
Supervised and transductive multi-class segmentation using p-Laplacians and RKHS methods. J. Vis. Commun. Image Represent. 25 (5) (2014)
Sören Häuser, B. Heise, Gabriele Steidl
Linearized Riesz transform and quasi-monogenic shearlets. Int. J. Wavelets Multiresolution Inf. Process. 12 (3) (2014)
Ronny Bergmann, Friederike Laus, Gabriele Steidl, Andreas Weinmann
Second Order Differences of Cyclic Data and Applications in Variational Denoising. SIAM J. Imaging Sci. 7 (4) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Gabriele Steidl