Gabriele Steidl

197 papers A* 6B 2C 1Journal 153Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	HOT-POT: Optimal Transport for Sparse Stereo Matching. CoRR Antonin Clerc, Michael Quellmalz, Moritz Piening, Philipp Flotho, Gregor Kornhardt, Gabriele Steidl
2026	J	`jnl`	Sampling via Stochastic Interpolants by Langevin-based Velocity and Initialization Estimation in Flow ODEs. CoRR Chenguang Duan, Yuling Jiao, Gabriele Steidl, Christian J. Walder, Jerry Zhijian Yang, Ruizhe Zhang
2026	J	`jnl`	Self-Aware Markov Models for Discrete Reasoning. CoRR Gregor Kornhardt, Jannis Chemseddine, Christian Wald, Gabriele Steidl
2026	J	`jnl`	Smoothed distance kernels for MMDs and applications in Wasserstein gradient flows. Adv. Comput. Math. Nicolaj Rux, Michael Quellmalz, Gabriele Steidl
2026	J	`jnl`	SympFormer: Accelerated attention blocks via Inertial Dynamics on Density Manifolds. CoRR Viktor Stein, Wuchen Li, Gabriele Steidl
2025	J	`jnl`	Adapting Noise to Data: Generative Flows from 1D Processes. CoRR Jannis Chemseddine, Gregor Kornhardt, Richard Duong, Gabriele Steidl
2025	—	`conf`	Conditional Generative Models for Contrast-Enhanced Synthesis of T1W and T1 Maps in Brain MRI. ISBI Moritz Piening, Fabian Altekrüger, Gabriele Steidl, Elke Hattingen, Eike Steidl
2025	J	`jnl`	Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching. J. Mach. Learn. Res. Jannis Chemseddine, Paul Hagemann, Gabriele Steidl, Christian Wald
2025	J	`jnl`	Flow Matching: Markov Kernels, Stochastic Processes and Transport Plans. CoRR Christian Wald, Gabriele Steidl
2025	J	`jnl`	Joint Metric Space Embedding by Unbalanced OT with Gromov-Wasserstein Marginal Penalization. CoRR Florian Beier, Moritz Piening, Robert Beinert, Gabriele Steidl
2025	A*	`conf`	Joint Metric Space Embedding by Unbalanced Optimal Transport with Gromov-Wasserstein Marginal Penalization. ICML Florian Beier, Moritz Piening, Robert Beinert, Gabriele Steidl
2025	J	`jnl`	Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation. SIAM J. Math. Data Sci. Paul Hagemann, Sophie Mildenberger, Lars Ruthotto, Gabriele Steidl, Nicole Tianjiao Yang
2025	A*	`conf`	Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry. ICLR Jannis Chemseddine, Christian Wald, Richard Duong, Gabriele Steidl
2025	A*	`conf`	PnP-Flow: Plug-and-Play Image Restoration with Flow Matching. ICLR Ségolène Tiffany Martin, Anne Gagneux, Paul Hagemann, Gabriele Steidl
2025	J	`jnl`	Provable Mixed-Noise Learning with Flow-Matching. CoRR Paul Hagemann, Robert Gruhlke, Bernhard Stankewitz, Claudia Schillings, Gabriele Steidl
2025	—	`conf`	Sampling from Boltzmann Densities with Physics Informed Low-Rank Formats. SSVM (1) Paul Hagemann, Janina Schütte, David Sommer, Martin Eigel, Gabriele Steidl
2025	J	`jnl`	Smoothed Distance Kernels for MMDs and Applications in Wasserstein Gradient Flows. CoRR Nicolaj Rux, Michael Quellmalz, Gabriele Steidl
2025	J	`jnl`	Stochastic Zeroth-Order Method for Computing Generalized Rayleigh Quotients. CoRR Jonas Bresch, Oleh Melnyk, Martin Schoen, Gabriele Steidl
2025	A*	`conf`	T-FAKE: Synthesizing Thermal Images for Facial Landmarking. CVPR Philipp Flotho, Moritz Piening, Anna Kukleva, Gabriele Steidl
2025	J	`jnl`	Telegrapher's Generative Model via Kac Flows. CoRR Richard Duong, Jannis Chemseddine, Peter K. Friz, Gabriele Steidl
2025	J	`jnl`	Trajectory Generator Matching for Time Series. CoRR T. Jahn, Jannis Chemseddine, Paul Hagemann, Christian Wald, Gabriele Steidl
2025	J	`jnl`	Unsupervised Ground Metric Learning. CoRR Janis Auffenberg, Jonas Bresch, Oleh Melnyk, Gabriele Steidl
2025	J	`jnl`	Variable Bregman Majorization-Minimization Algorithm and its Application to Dirichlet Maximum Likelihood Estimation. CoRR Ségolène Martin, Jean-Christophe Pesquet, Gabriele Steidl, Ismail Ben Ayed
2024	J	`jnl`	Conditional Generative Models for Contrast-Enhanced Synthesis of T1w and T1 Maps in Brain MRI. CoRR Moritz Piening, Fabian Altekrüger, Gabriele Steidl, Elke Hattingen, Eike Steidl
2024	J	`jnl`	Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching. CoRR Jannis Chemseddine, Paul Hagemann, Christian Wald, Gabriele Steidl
2024	J	`jnl`	Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs. CoRR Martin Hanik, Gabriele Steidl, Christoph von Tycowicz
2024	J	`jnl`	Mixed Noise and Posterior Estimation with Conditional DeepGEM. CoRR Paul Hagemann, Johannes Hertrich, Maren Casfor, Sebastian Heidenreich, Gabriele Steidl
2024	J	`jnl`	Mixed noise and posterior estimation with conditional deepGEM. Mach. Learn. Sci. Technol. Paul Hagemann, Johannes Hertrich, Maren Casfor, Sebastian Heidenreich, Gabriele Steidl
2024	J	`jnl`	Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry. CoRR Jannis Chemseddine, Christian Wald, Richard Duong, Gabriele Steidl
2024	J	`jnl`	On the dynamical system of principal curves in. Commun. Stat. Simul. Comput. Robert Beinert, Arian Bërdëllima, Manuel Gräf, Gabriele Steidl
2024	J	`jnl`	Optimizing Federated Learning by Entropy-Based Client Selection. CoRR Andreas Lutz, Gabriele Steidl, Karsten Müller, Wojciech Samek
2024	J	`jnl`	Parallelly Sliced Optimal Transport on Spheres and on the Rotation Group. CoRR Michael Quellmalz, Léo Buecher, Gabriele Steidl
2024	J	`jnl`	Parallelly Sliced Optimal Transport on Spheres and on the Rotation Group. J. Math. Imaging Vis. Michael Quellmalz, Léo Buecher, Gabriele Steidl
2024	J	`jnl`	PnP-Flow: Plug-and-Play Image Restoration with Flow Matching. CoRR Ségolène Martin, Anne Gagneux, Paul Hagemann, Gabriele Steidl
2024	A*	`conf`	Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel. ICLR Paul Hagemann, Johannes Hertrich, Fabian Altekrüger, Robert Beinert, Jannis Chemseddine, Gabriele Steidl
2024	J	`jnl`	Sampling from Boltzmann densities with physics informed low-rank formats. CoRR Paul Hagemann, Janina Schütte, David Sommer, Martin Eigel, Gabriele Steidl
2024	J	`jnl`	Slicing of Radial Functions: a Dimension Walk in the Fourier Space. CoRR Nicolaj Rux, Michael Quellmalz, Gabriele Steidl
2024	J	`jnl`	Sparse additive function decompositions facing basis transforms. CoRR Fatima Antarou Ba, Oleh Melnyk, Christian Wald, Gabriele Steidl
2024	J	`jnl`	T-FAKE: Synthesizing Thermal Images for Facial Landmarking. CoRR Philipp Flotho, Moritz Piening, Anna Kukleva, Gabriele Steidl
2024	J	`jnl`	Time-Harmonic Optical Flow with Applications in Elastography. CoRR Oleh Melnyk, Michael Quellmalz, Gabriele Steidl, Noah Jaitner, Jakob Jordan, Ingolf Sack
2024	J	`jnl`	Transfer Operators from Batches of Unpaired Points via Entropic Transport Kernels. CoRR Florian Beier, Hancheng Bi, Clément Sarrazin, Bernhard Schmitzer, Gabriele Steidl
2024	J	`jnl`	Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces. CoRR Sebastian Neumayer, Viktor Stein, Gabriele Steidl, Nicolaj Rux
2023	J	`jnl`	A Study of Particle Motion in the Presence of Clusters. CoRR Christian Wald, Gabriele Steidl
2023	J	`jnl`	Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems. CoRR Fabian Altekrüger, Paul Hagemann, Gabriele Steidl
2023	J	`jnl`	Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems. Trans. Mach. Learn. Res. Fabian Altekrüger, Paul Hagemann, Gabriele Steidl
2023	J	`jnl`	Denoising of Sphere- and SO(3)-Valued Data by Relaxed Tikhonov Regularization. CoRR Robert Beinert, Jonas Bresch, Gabriele Steidl
2023	J	`jnl`	Generalized Iterative Scaling for Regularized Optimal Transport with Affine Constraints: Application Examples. CoRR Johannes von Lindheim, Gabriele Steidl
2023	J	`jnl`	Lagrangian motion magnification with double sparse optical flow decomposition. Frontiers Appl. Math. Stat. Philipp Flotho, Cosmas Heiss, Gabriele Steidl, Daniel J. Strauss
2023	J	`jnl`	Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction. CoRR Moritz Piening, Fabian Altekrüger, Johannes Hertrich, Paul Hagemann, Andrea Walther, Gabriele Steidl
2023	J	`jnl`	Motion detection in diffraction tomography by common circle methods. Math. Comput. Michael Quellmalz, Peter Elbau, Otmar Scherzer, Gabriele Steidl
2023	J	`jnl`	Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation. CoRR Paul Hagemann, Lars Ruthotto, Gabriele Steidl, Nicole Tianjiao Yang
2023	A*	`conf`	Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels. ICML Fabian Altekrüger, Johannes Hertrich, Gabriele Steidl
2023	J	`jnl`	Neural Wasserstein Gradient Flows for Maximum Mean Discrepancies with Riesz Kernels. CoRR Fabian Altekrüger, Johannes Hertrich, Gabriele Steidl
2023	J	`jnl`	On Assignment Problems Related to Gromov-Wasserstein Distances on the Real Line. SIAM J. Imaging Sci. Robert Beinert, Cosmas Heiss, Gabriele Steidl
2023	—	`conf`	On the Remarkable Efficiency of SMART. SSVM Max Kahl, Stefania Petra, Christoph Schnörr, Gabriele Steidl, Matthias Zisler
2023	J	`jnl`	Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel. CoRR Paul Hagemann, Johannes Hertrich, Fabian Altekrüger, Robert Beinert, Jannis Chemseddine, Gabriele Steidl
2023	J	`jnl`	Sliced Optimal Transport on the Sphere. CoRR Michael Quellmalz, Robert Beinert, Gabriele Steidl
2023	J	`jnl`	Unbalanced Multi-marginal Optimal Transport. J. Math. Imaging Vis. Florian Beier, Johannes von Lindheim, Sebastian Neumayer, Gabriele Steidl
2023	—	`conf`	Wasserstein Gradient Flows of the Discrepancy with Distance Kernel on the Line. SSVM Johannes Hertrich, Robert Beinert, Manuel Gräf, Gabriele Steidl
2023	J	`jnl`	Wasserstein Gradient Flows of the Discrepancy with Distance Kernel on the Line. CoRR Johannes Hertrich, Robert Beinert, Manuel Gräf, Gabriele Steidl
2022	J	`jnl`	An Image Registration Model in Electron Backscatter Diffraction. SIAM J. Imaging Sci. Manuel Gräf, Sebastian Neumayer, Ralf Hielscher, Gabriele Steidl, Moritz Liesegang, Tilmann Beck
2022	J	`jnl`	Lagrangian Motion Magnification with Double Sparse Optical Flow Decomposition. CoRR Philipp Flotho, Cosmas Heiss, Gabriele Steidl, Daniel J. Strauss
2022	—	`conf`	Lagrangian Motion Magnification with Landmark-Prior and Sparse PCA for Facial Microexpressions and Micromovements. EMBC Philipp Flotho, Cosmas Heiß, Gabriele Steidl, Daniel J. Strauss
2022	J	`jnl`	Motion Detection in Diffraction Tomography by Common Circle Methods. CoRR Michael Quellmalz, Peter Elbau, Otmar Scherzer, Gabriele Steidl
2022	J	`jnl`	Multi-Marginal Gromov-Wasserstein Transport and Barycenters. CoRR Florian Beier, Robert Beinert, Gabriele Steidl
2022	J	`jnl`	On Assignment Problems Related to Gromov-Wasserstein Distances on the Real Line. CoRR Robert Beinert, Cosmas Heiss, Gabriele Steidl
2022	J	`jnl`	On a Linear Gromov-Wasserstein Distance. IEEE Trans. Image Process. Florian Beier, Robert Beinert, Gabriele Steidl
2022	J	`jnl`	PatchNR: Learning from Small Data by Patch Normalizing Flow Regularization. CoRR Fabian Altekrüger, Alexander Denker, Paul Hagemann, Johannes Hertrich, Peter Maass, Gabriele Steidl
2022	J	`jnl`	Stochastic Normalizing Flows for Inverse Problems: A Markov Chains Viewpoint. SIAM/ASA J. Uncertain. Quantification Paul Hagemann, Johannes Hertrich, Gabriele Steidl
2022	J	`jnl`	Wasserstein Steepest Descent Flows of Discrepancies with Riesz Kernels. CoRR Johannes Hertrich, Manuel Gräf, Robert Beinert, Gabriele Steidl
2021	J	`jnl`	A Unified Approach to Variational Autoencoders and Stochastic Normalizing Flows via Markov Chains. CoRR Johannes Hertrich, Paul Hagemann, Gabriele Steidl
2021	J	`jnl`	Alternatives to the EM algorithm for ML estimation of location, scatter matrix, and degree of freedom of the Student t distribution. Numer. Algorithms Marzieh Hasannasab, Johannes Hertrich, Friederike Laus, Gabriele Steidl
2021	J	`jnl`	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 Marzieh Hasannasab, Johannes Hertrich, Friederike Laus, Gabriele Steidl
2021	J	`jnl`	Curve Based Approximation of Measures on Manifolds by Discrepancy Minimization. Found. Comput. Math. Martin Ehler, Manuel Gräf, Sebastian Neumayer, Gabriele Steidl
2021	J	`jnl`	Fourier reconstruction for diffraction tomography of an object rotated into arbitrary orientations. CoRR Clemens Kirisits, Michael Quellmalz, Monika Ritsch-Marte, Otmar Scherzer, Eric Setterqvist, Gabriele Steidl
2021	—	`conf`	Invertible Neural Networks Versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence. SSVM Anna Andrle, Nando Farchmin, Paul Hagemann, Sebastian Heidenreich, Victor Soltwisch, Gabriele Steidl
2021	J	`jnl`	Invertible Neural Networks versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence. CoRR Anna Andrle, Nando Farchmin, Paul Hagemann, Sebastian Heidenreich, Victor Soltwisch, Gabriele Steidl
2021	J	`jnl`	On a linear Gromov-Wasserstein distance. CoRR Florian Beier, Robert Beinert, Gabriele Steidl
2021	J	`jnl`	Robust PCA via Regularized Reaper with a Matrix-Free Proximal Algorithm. J. Math. Imaging Vis. Robert Beinert, Gabriele Steidl
2021	J	`jnl`	Stochastic Normalizing Flows for Inverse Problems: a Markov Chains Viewpoint. CoRR Paul Hagemann, Johannes Hertrich, Gabriele Steidl
2021	J	`jnl`	Super-Resolution for Doubly-Dispersive Channel Estimation. CoRR Robert Beinert, Peter Jung, Gabriele Steidl, Tom Szollmann
2020	J	`jnl`	A New Constrained Optimization Model for Solving the Nonsymmetric Stochastic Inverse Eigenvalue Problem. CoRR Gabriele Steidl, Maximilian Winkler
2020	J	`jnl`	Convolutional Proximal Neural Networks and Plug-and-Play Algorithms. CoRR Johannes Hertrich, Sebastian Neumayer, Gabriele Steidl
2020	B	`conf`	Fast Entropy Maximization for Selectivity Estimation of Conjunctive Predicates on CPUs and GPUs. EDBT Diego Havenstein, Peter Lysakovski, Norman May, Guido Moerkotte, Gabriele Steidl
2020	J	`jnl`	Guest Editorial: Special Issue in Memory of Mila Nikolova. J. Math. Imaging Vis. Raymond H. Chan, Albert Cohen, Jalal Fadili, Alfred O. Hero III, Gabriele Steidl
2020	J	`jnl`	Inertial Stochastic PALM and its Application for Learning Student-t Mixture Models. CoRR Johannes Hertrich, Gabriele Steidl
2020	J	`jnl`	PCA Reduced Gaussian Mixture Models with Applications in Superresolution. CoRR Johannes Hertrich, Dang Phoung Lan Nguyen, Jean-François Aujol, Dominique Bernard, Yannick Berthoumieu, Abdellativ Sa'adaldin, Gabriele Steidl
2020	J	`jnl`	Robust PCA via Regularized REAPER with a Matrix-Free Proximal Algorithm. CoRR Robert Beinert, Gabriele Steidl
2020	J	`jnl`	Transfer Operators from Optimal Transport Plans for Coherent Set Detection. CoRR Péter Koltai, Johannes von Lindheim, Sebastian Neumayer, Gabriele Steidl
2020	J	`jnl`	Variational Models for Color Image Correction Inspired by Visual Perception and Neuroscience. J. Math. Imaging Vis. Thomas Batard, Johannes Hertrich, Gabriele Steidl
2019	—	`conf`	A Connection Between Image Processing and Artificial Neural Networks Layers Through a Geometric Model of Visual Perception. SSVM Thomas Batard, Eduard Ramon Maldonado, Gabriele Steidl, Marcelo Bertalmío
2019	J	`jnl`	Alternatives of the EM Algorithm for Estimating the Parameters of the Student-t Distribution. CoRR Marzieh Hasannasab, Johannes Hertrich, Friederike Laus, Gabriele Steidl
2019	J	`jnl`	Guest Editorial JMIV Special Issue Mathematics and Image Analysis (MIA). J. Math. Imaging Vis. Jean-François Aujol, Jalal Fadili, Michael Hintermüller, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl
2019	J	`jnl`	Linkage Between Piecewise Constant Mumford-Shah Model and Rudin-Osher-Fatemi Model and Its Virtue in Image Segmentation. SIAM J. Sci. Comput. Xiaohao Cai, Raymond H. Chan, Carola-Bibiane Schönlieb, Gabriele Steidl, Tieyong Zeng
2019	—	`conf`	Minimal Lipschitz Extensions for Vector-Valued Functions on Finite Graphs. SSVM Johannes Hertrich, Miroslav Bacák, Sebastian Neumayer, Gabriele Steidl
2019	J	`jnl`	Multivariate Myriad Filters Based on Parameter Estimation of Student-t Distributions. SIAM J. Imaging Sci. Friederike Laus, Gabriele Steidl
2019	J	`jnl`	Parseval Proximal Neural Networks. CoRR Marzieh Hasannasab, Johannes Hertrich, Sebastian Neumayer, Gerlind Plonka, Simon Setzer, Gabriele Steidl
2019	J	`jnl`	Traces of shearlet coorbit spaces on domains. Appl. Math. Lett. Stephan Dahlke, Q. Jahan, Cornelia Schneider, Gabriele Steidl, Gerd Teschke
2018	J	`jnl`	Linkage between Piecewise Constant Mumford-Shah model and ROF model and its virtue in image segmentation. CoRR Xiaohao Cai, Raymond H. Chan, Carola-Bibiane Schönlieb, Gabriele Steidl, Tieyong Zeng
2018	J	`jnl`	Morphing of Manifold-Valued Images Inspired by Discrete Geodesics in Image Spaces. SIAM J. Imaging Sci. Sebastian Neumayer, Johannes Persch, Gabriele Steidl
2018	J	`jnl`	Nonlocal Myriad Filters for Cauchy Noise Removal. J. Math. Imaging Vis. Friederike Laus, Fabien Pierre, Gabriele Steidl
2018	J	`jnl`	Priors with Coupled First and Second Order Differences for Manifold-Valued Image Processing. J. Math. Imaging Vis. Ronny Bergmann, Jan Henrik Fitschen, Johannes Persch, Gabriele Steidl
2017	J	`jnl`	A Nonlocal Denoising Algorithm for Manifold-Valued Images Using Second Order Statistics. SIAM J. Imaging Sci. Friederike Laus, Mila Nikolova, Johannes Persch, Gabriele Steidl
2017	J	`jnl`	Convergence of functions and their Moreau envelopes on Hadamard spaces. J. Approx. Theory Miroslav Bacák, Martin J. Montag, Gabriele Steidl
2017	J	`jnl`	Examplar-Based Face Colorization Using Image Morphing. CoRR Johannes Persch, Fabien Pierre, Gabriele Steidl
2017	J	`jnl`	Exemplar-Based Face Colorization Using Image Morphing. J. Imaging Johannes Persch, Fabien Pierre, Gabriele Steidl
2017	—	`conf`	Infimal Convolution Coupling of First and Second Order Differences on Manifold-Valued Images. SSVM Ronny Bergmann, Jan Henrik Fitschen, Johannes Persch, Gabriele Steidl
2017	J	`jnl`	Iterative Multiplicative Filters for Data Labeling. Int. J. Comput. Vis. Ronny Bergmann, Jan Henrik Fitschen, Johannes Persch, Gabriele Steidl
2017	J	`jnl`	JMIV Special Issue Mathematics and Image Analysis. J. Math. Imaging Vis. Jalal Fadili, Gitta Kutyniok, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl
2017	—	`conf`	On a Projected Weiszfeld Algorithm. SSVM Sebastian Neumayer, Max Nimmer, Gabriele Steidl, Henrike Stephani
2017	J	`jnl`	Unsupervised multi class segmentation of 3D images with intensity inhomogeneities. J. Vis. Commun. Image Represent. Jan Henrik Fitschen, Katharina Losch, Gabriele Steidl
2017	J	`jnl`	Variational Contrast Enhancement of Gray-Scale and RGB Images. J. Math. Imaging Vis. Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Gabriele Steidl, Vinh-Thong Ta
2017	J	`jnl`	Variational-based segmentation of bio-pores in tomographic images. Comput. Geosci. Benjamin Bauer, Xiaohao Cai, Stephan Peth, Katja Schladitz, Gabriele Steidl
2016	J	`jnl`	A Nonlocal Denoising Algorithm for Manifold-Valued Images Using Second Order Statistics. CoRR Friederike Laus, Johannes Persch, Gabriele Steidl
2016	J	`jnl`	A Parallel Douglas-Rachford Algorithm for Minimizing ROF-like Functionals on Images with Values in Symmetric Hadamard Manifolds. SIAM J. Imaging Sci. Ronny Bergmann, Johannes Persch, Gabriele Steidl
2016	J	`jnl`	A Second Order Nonsmooth Variational Model for Restoring Manifold-Valued Images. SIAM J. Sci. Comput. Miroslav Bacák, Ronny Bergmann, Gabriele Steidl, Andreas Weinmann
2016	B	`conf`	Hue-preserving perceptual contrast enhancement. ICIP Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Gabriele Steidl, Vinh-Thong Ta
2016	J	`jnl`	Transport Between RGB Images Motivated by Dynamic Optimal Transport. J. Math. Imaging Vis. Jan Henrik Fitschen, Friederike Laus, Gabriele Steidl
2015	—	`conf`	A Variational Model for Color Assignment. SSVM Jan Henrik Fitschen, Mila Nikolova, Fabien Pierre, Gabriele Steidl
2015	—	`conf`	Bilevel Image Denoising Using Gaussianity Tests. SSVM Jérôme Fehrenbach, Mila Nikolova, Gabriele Steidl, Pierre Weiss
2015	—	`conf`	Computation and Visualization of Local Deformation for Multiphase Metallic Materials by Infimal Convolution of TV-Type Functionals. SSVM Frank Balle, Dietmar Eifler, Jan Henrik Fitschen, Sebastian Schuff, Gabriele Steidl
2015	J	`jnl`	Guest Editorial: Mathematics and Image Analysis. J. Math. Imaging Vis. Jalal Fadili, Gitta Kutyniok, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl
2015	J	`jnl`	Proximal operator of quotient functions with application to a feasibility problem in query optimization. J. Comput. Appl. Math. Guido Moerkotte, Martin J. Montag, Audrey Repetti, Gabriele Steidl
2015	—	`ch.`	Shearlet Coorbit Theory. Harmonic and Applied Analysis Stephan Dahlke, Sören Häuser, Gabriele Steidl, Gerd Teschke
2015	—	`ch.`	Supervised Learning by Support Vector Machines. Handbook of Mathematical Methods in Imaging Gabriele Steidl
2014	—	`conf`	Detection of change points in phase data: A Bayesian analysis of habituation processes. EMBC Zeinab Mortezapouraghdam, Lars Haab, Gabriele Steidl, Daniel J. Strauss
2014	J	`jnl`	Fast Hue and Range Preserving Histogram Specification: Theory and New Algorithms for Color Image Enhancement. IEEE Trans. Image Process. Mila Nikolova, Gabriele Steidl
2014	J	`jnl`	Fast Ordering Algorithm for Exact Histogram Specification. IEEE Trans. Image Process. Mila Nikolova, Gabriele Steidl
2014	J	`jnl`	First order algorithms in variational image processing. CoRR Martin Burger, Alex Sawatzky, Gabriele Steidl
2014	J	`jnl`	Fully Smoothed ℓ 1-TV Models: Bounds for the Minimizers and Parameter Choice. J. Math. Imaging Vis. F. Baus, Mila Nikolova, Gabriele Steidl
2014	J	`jnl`	Linearized Riesz transform and quasi-monogenic shearlets. Int. J. Wavelets Multiresolution Inf. Process. Sören Häuser, Bettina Heise, Gabriele Steidl
2014	J	`jnl`	Second Order Differences of Cyclic Data and Applications in Variational Denoising. SIAM J. Imaging Sci. Ronny Bergmann, Friederike Laus, Gabriele Steidl, Andreas Weinmann
2014	J	`jnl`	Supervised and transductive multi-class segmentation using p-Laplacians and RKHS methods. J. Vis. Commun. Image Represent. Sung Ha Kang, Behrang Shafei, Gabriele Steidl
2013	J	`jnl`	A cyclic projected gradient method. Comput. Optim. Appl. Simon Setzer, Gabriele Steidl, Jan Morgenthaler
2013	J	`jnl`	Convex multiclass segmentation with shearlet regularization. Int. J. Comput. Math. Sören Häuser, Gabriele Steidl
2013	—	`conf`	Epigraphical Projection for Solving Least Squares Anscombe Transformed Constrained Optimization Problems. SSVM Stanislav Harizanov, Jean-Christophe Pesquet, Gabriele Steidl
2013	J	`jnl`	Guest Editorial: Variational Models, Convex Analysis and Numerical Optimization in Mathematical Imaging. J. Math. Imaging Vis. Antonin Chambolle, Michael Hintermüller, Thomas Pock, Christoph Schnörr, Gabriele Steidl
2013	J	`jnl`	Homogeneous Penalizers and Constraints in Convex Image Restoration. J. Math. Imaging Vis. René Ciak, Behrang Shafei, Gabriele Steidl
2013	—	`conf`	Multiclass Segmentation by Iterated ROF Thresholding. EMMCVPR Xiaohao Cai, Gabriele Steidl
2012	J	`jnl`	A new fuzzy c-means method with total variation regularization for segmentation of images with noisy and incomplete data. Pattern Recognit. Yanyan He, M. Yousuff Hussaini, Jianwei Ma, Behrang Shafei, Gabriele Steidl
2012	J	`jnl`	Denoising by second order statistics. Signal Process. Tanja Teuber, Steffen Remmele, Jürgen Hesser, Gabriele Steidl
2012	—	`conf`	Nonlocal two dimensional denoising of frequency specific chirp evoked ABR single trials. EMBC J. Kristof Schubert, Tanja Teuber, Gabriele Steidl, Daniel J. Strauss, Farah I. Corona-Strauss
2012	J	`jnl`	On vector and matrix median computation. J. Comput. Appl. Math. Simon Setzer, Gabriele Steidl, Tanja Teuber
2012	J	`jnl`	Quadrature Errors, Discrepancies, and Their Relations to Halftoning on the Torus and the Sphere. SIAM J. Sci. Comput. Manuel Gräf, Daniel Potts, Gabriele Steidl
2012	J	`jnl`	Segmentation of images with separating layers by fuzzy c-means and convex optimization. J. Vis. Commun. Image Represent. Behrang Shafei, Gabriele Steidl
2011	J	`jnl`	Dithering by Differences of Convex Functions. SIAM J. Imaging Sci. Tanja Teuber, Gabriele Steidl, Pascal Gwosdek, Christian Schmaltz, Joachim Weickert
2011	—	`conf`	Quadrature Nodes Meet Stippling Dots. SSVM Manuel Gräf, Daniel Potts, Gabriele Steidl
2010	J	`jnl`	Approximation related to quotient functionals. J. Approx. Theory Simon Setzer, Gabriele Steidl, Tanja Teuber, Guido Moerkotte
2010	J	`jnl`	Deblurring Poissonian images by split Bregman techniques. J. Vis. Commun. Image Represent. Simon Setzer, Gabriele Steidl, Tanja Teuber
2010	J	`jnl`	Removing Multiplicative Noise by Douglas-Rachford Splitting Methods. J. Math. Imaging Vis. Gabriele Steidl, Tanja Teuber
2009	—	`conf`	Anisotropic Smoothing Using Double Orientations. SSVM Gabriele Steidl, Tanja Teuber
2009	J	`jnl`	Combined Adv. Comput. Math. Stephan Didas, Simon Setzer, Gabriele Steidl
2009	J	`jnl`	Convex Hodge Decomposition and Regularization of Image Flows. J. Math. Imaging Vis. Jing Yuan, Christoph Schnörr, Gabriele Steidl
2009	J	`jnl`	Diffusion Tensors for Processing Sheared and Rotated Rectangles. IEEE Trans. Image Process. Gabriele Steidl, Tanja Teuber
2009	J	`jnl`	Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors. Proc. VLDB Endow. Guido Moerkotte, Thomas Neumann, Gabriele Steidl
2009	—	`conf`	Total-Variation Based Piecewise Affine Regularization. SSVM Jing Yuan, Christoph Schnörr, Gabriele Steidl
2008	—	`conf`	Convex Hodge Decomposition of Image Flows. DAGM-Symposium Jing Yuan, Gabriele Steidl, Christoph Schnörr
2008	J	`jnl`	Inpainting by Flexible Haar-Wavelet Shrinkage. SIAM J. Imaging Sci. Raymond H. Chan, Simon Setzer, Gabriele Steidl
2008	J	`jnl`	Restoration of images with rotated shapes. Numer. Algorithms Simon Setzer, Gabriele Steidl, Tanja Teuber
2008	—	`conf`	The Continuous Shearlet Transform in Arbitrary Space Dimensions. Structured Decompositions and Efficient Algorithms Stephan Dahlke, Gabriele Steidl, Gerd Teschke
2007	J	`jnl`	Restoration of matrix fields by second-order cone programming. Computing Gabriele Steidl, Simon Setzer, B. Popilka, Bernhard Burgeth
2007	J	`jnl`	Simultaneous Higher-Order Optical Flow Estimation and Decomposition. SIAM J. Sci. Comput. Jing Yuan, Christoph Schnörr, Gabriele Steidl
2006	J	`jnl`	A Multiscale Wavelet-Inspired Scheme for Nonlinear Diffusion. Int. J. Wavelets Multiresolution Inf. Process. Gerlind Plonka, Gabriele Steidl
2006	J	`jnl`	A Note on the Dual Treatment of Higher-Order Regularization Functionals. Computing Gabriele Steidl
2006	—	`ch.`	Diffusion Filters and Wavelets: What Can They Learn from Each Other? Handbook of Mathematical Models in Computer Vision Joachim Weickert, Gabriele Steidl, Pavel Mrázek, Martin Welk, Thomas Brox
2006	J	`jnl`	Fast Gauss transforms with complex parameters using NFFTs. J. Num. Math. Stefan Kunis, Daniel Potts, Gabriele Steidl
2006	—	`conf`	From Tensor-Driven Diffusion to Anisotropic Wavelet Shrinkage. ECCV (1) Martin Welk, Joachim Weickert, Gabriele Steidl
2006	J	`jnl`	Splines in Higher Order TV Regularization. Int. J. Comput. Vis. Gabriele Steidl, Stephan Didas, Julia Neumann
2005	—	`conf`	A Four-Pixel Scheme for Singular Differential Equations. Scale-Space Martin Welk, Joachim Weickert, Gabriele Steidl
2005	—	`conf`	A Study of Non-smooth Convex Flow Decomposition. VLSM Jing Yuan, Christoph Schnörr, Gabriele Steidl, Florian Becker
2005	J	`jnl`	Combined SVM-Based Feature Selection and Classification. Mach. Learn. Julia Neumann, Christoph Schnörr, Gabriele Steidl
2005	J	`jnl`	Diffusion-Inspired Shrinkage Functions and Stability Results for Wavelet Denoising. Int. J. Comput. Vis. Pavel Mrázek, Joachim Weickert, Gabriele Steidl
2005	J	`jnl`	Dual-Tree Complex Wavelet Transform in the Frequency Domain and an Application to Signal Classification. Int. J. Wavelets Multiresolution Inf. Process. Julia Neumann, Gabriele Steidl
2005	J	`jnl`	Efficient wavelet adaptation for hybrid wavelet-large margin classifiers. Pattern Recognit. Julia Neumann, Christoph Schnörr, Gabriele Steidl
2005	—	`conf`	Nonlinear image restoration methods for marker extraction in 3D fluorescent microscopy. Computational Imaging Aleh Kryvanos, Jürgen Hesser, Gabriele Steidl
2005	—	`conf`	Relations Between Higher Order TV Regularization and Support Vector Regression. Scale-Space Gabriele Steidl, Stephan Didas, Julia Neumann
2004	J	`jnl`	Coorbit Spaces and Banach Frames on Homogeneous Spaces with Applications to the Sphere. Adv. Comput. Math. Stephan Dahlke, Gabriele Steidl, Gerd Teschke
2004	J	`jnl`	Fast convolution with radial kernels at nonequispaced knots. Numerische Mathematik Daniel Potts, Gabriele Steidl, Arthur Nieslony
2004	J	`jnl`	On the Equivalence of Soft Wavelet Shrinkage, Total Variation Diffusion, Total Variation Regularization, and SIDEs. SIAM J. Numer. Anal. Gabriele Steidl, Joachim Weickert, Thomas Brox, Pavel Mrázek, Martin Welk
2004	—	`conf`	SVM-Based Feature Selection by Direct Objective Minimisation. DAGM-Symposium Julia Neumann, Christoph Schnörr, Gabriele Steidl
2003	—	`conf`	Correspondences between Wavelet Shrinkage and Nonlinear Diffusion. Scale-Space Pavel Mrázek, Joachim Weickert, Gabriele Steidl
2003	—	`conf`	Equivalence Results for TV Diffusion and TV Regularisation. Scale-Space Thomas Brox, Martin Welk, Gabriele Steidl, Joachim Weickert
2003	J	`jnl`	Fast Summation at Nonequispaced Knots by NFFT. SIAM J. Sci. Comput. Daniel Potts, Gabriele Steidl
2003	C	`conf`	Feasible Adaptation Criteria for Hybrid Wavelet - Large Margin Classifiers. CAIP Julia Neumann, Christoph Schnörr, Gabriele Steidl
2003	J	`jnl`	Feature extraction by shape-adapted local discriminant bases. Signal Process. Daniel J. Strauss, Gabriele Steidl, Wolfgang Delb
2002	—	`conf`	Relations between Soft Wavelet Shrinkage and Total Variation Denoising. DAGM-Symposium Gabriele Steidl, Joachim Weickert
2001	J	`jnl`	Preconditioners for Ill-Conditioned Toeplitz Systems Constructed from Positive Kernels. SIAM J. Sci. Comput. Daniel Potts, Gabriele Steidl
2001	J	`jnl`	Preconditioners for Nondefinite Hermitian Toeplitz Systems. SIAM J. Matrix Anal. Appl. Raymond H. Chan, Daniel Potts, Gabriele Steidl
2001	J	`jnl`	Preconditioners for non-Hermitian Toeplitz systems. Numer. Linear Algebra Appl. Raymond H. Chan, Daniel Potts, Gabriele Steidl
1998	J	`jnl`	A note on fast Fourier transforms for nonequispaced grids. Adv. Comput. Math. Gabriele Steidl
1998	J	`jnl`	Fast algorithms for discrete polynomial transforms. Math. Comput. Daniel Potts, Gabriele Steidl, Manfred Tasche
1995	J	`jnl`	On multivariate attenuation factors. Numer. Algorithms Gabriele Steidl
1992	J	`jnl`	Chebyshev polynomial derivation of composite-length DCT algorithms. Signal Process. Gabriele Steidl
1992	J	`jnl`	Fast Radix-p Discrete Cosine Transform. Appl. Algebra Eng. Commun. Comput. Gabriele Steidl
1990	J	`jnl`	Existence and Construction of Self-complementary Normal Bases. J. Inf. Process. Cybern. Gabriele Steidl
1988	—	`—`	Grundlagen schneller Algorithmen für verallgemeinerte diskrete Fouriertransformationen. Gabriele Steidl
1988	J	`jnl`	Number-theoretic Transforms in Rings of Cyclotomic Integers. J. Inf. Process. Cybern. Reiner Creutzburg, Gabriele Steidl