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ORCIDGabriele Steidl
Person information
- affiliation: TU Berlin, Institute of Mathematics, Germany
- affiliation: University of Kaiserslautern, Germany
- affiliation (PhD 1988): University of Rostock, Fachbereich Mathematik, Germany
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2020 – today
- 2024
[j87]Robert Beinert
, Arian Bërdëllima, Manuel Gräf, Gabriele Steidl:
On the dynamical system of principal curves in. Commun. Stat. Simul. Comput. 53(6): 2864-2879 (2024)- [j86]Michael Quellmalz, Léo Buecher, Gabriele Steidl:
Parallelly Sliced Optimal Transport on Spheres and on the Rotation Group. J. Math. Imaging Vis. 66(6): 951-976 (2024) - [j85]Paul Hagemann, Johannes Hertrich, Maren Casfor, Sebastian Heidenreich, Gabriele Steidl:
Mixed noise and posterior estimation with conditional deepGEM. Mach. Learn. Sci. Technol. 5(3): 35001 (2024) - [c33]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 - [i50]Martin Hanik, Gabriele Steidl, Christoph von Tycowicz:
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs. CoRR abs/2401.14381 (2024) - [i49]Michael Quellmalz, Léo Buecher, Gabriele Steidl:
Parallelly Sliced Optimal Transport on Spheres and on the Rotation Group. CoRR abs/2401.16896 (2024) - [i48]Paul Hagemann, Johannes Hertrich, Maren Casfor, Sebastian Heidenreich, Gabriele Steidl:
Mixed Noise and Posterior Estimation with Conditional DeepGEM. CoRR abs/2402.02964 (2024) - [i47]Sebastian Neumayer, Viktor Stein, Gabriele Steidl, Nicolaj Rux:
Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces. CoRR abs/2402.04613 (2024) - [i46]Florian Beier, Hancheng Bi, Clément Sarrazin, Bernhard Schmitzer, Gabriele Steidl:
Transfer Operators from Batches of Unpaired Points via Entropic Transport Kernels. CoRR abs/2402.08425 (2024) - [i45]Fatima Antarou Ba, Oleh Melnyk, Christian Wald, Gabriele Steidl:
Sparse additive function decompositions facing basis transforms. CoRR abs/2403.15563 (2024) - [i44]Jannis Chemseddine, Paul Hagemann, Christian Wald, Gabriele Steidl:
Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching. CoRR abs/2403.18705 (2024) - [i43]Oleh Melnyk, Michael Quellmalz, Gabriele Steidl, Noah Jaitner, Jakob Jordan, Ingolf Sack:
Time-Harmonic Optical Flow with Applications in Elastography. CoRR abs/2405.15507 (2024) - [i42]Nicolaj Rux, Michael Quellmalz, Gabriele Steidl:
Slicing of Radial Functions: a Dimension Walk in the Fourier Space. CoRR abs/2408.11612 (2024) - [i41]Philipp Flotho, Moritz Piening, Anna Kukleva, Gabriele Steidl:
T-FAKE: Synthesizing Thermal Images for Facial Landmarking. CoRR abs/2408.15127 (2024) - [i40]Ségolène Martin, Anne Gagneux, Paul Hagemann, Gabriele Steidl:
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching. CoRR abs/2410.02423 (2024) - [i39]Jannis Chemseddine, Christian Wald, Richard Duong, Gabriele Steidl:
Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry. CoRR abs/2410.03282 (2024) - [i38]Moritz Piening, Fabian Altekrüger, Gabriele Steidl, Elke Hattingen, Eike Steidl:
Conditional Generative Models for Contrast-Enhanced Synthesis of T1w and T1 Maps in Brain MRI. CoRR abs/2410.08894 (2024) - [i37]Andreas Lutz, Gabriele Steidl, Karsten Müller, Wojciech Samek:
Optimizing Federated Learning by Entropy-Based Client Selection. CoRR abs/2411.01240 (2024) - [i36]Paul Hagemann, Janina Schütte, David Sommer, Martin Eigel, Gabriele Steidl:
Sampling from Boltzmann densities with physics informed low-rank formats. CoRR abs/2412.07637 (2024) - 2023
- [j84]Philipp Flotho, Cosmas Heiss, Gabriele Steidl, Daniel J. Strauss:
Lagrangian motion magnification with double sparse optical flow decomposition. Frontiers Appl. Math. Stat. 9 (2023) - [j83]Florian Beier, Johannes von Lindheim, Sebastian Neumayer, Gabriele Steidl:
Unbalanced Multi-marginal Optimal Transport. J. Math. Imaging Vis. 65(3): 394-413 (2023) - [j82]Michael Quellmalz, Peter Elbau, Otmar Scherzer, Gabriele Steidl:
Motion detection in diffraction tomography by common circle methods. Math. Comput. 93(346): 747-784 (2023) - [j81]Robert Beinert, Cosmas Heiss, Gabriele Steidl:
On Assignment Problems Related to Gromov-Wasserstein Distances on the Real Line. SIAM J. Imaging Sci. 16(2): 1028-1032 (2023) - [j80]Fabian Altekrüger, Paul Hagemann, Gabriele Steidl:
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems. Trans. Mach. Learn. Res. 2023 (2023) - [c32]Fabian Altekrüger, Johannes Hertrich, Gabriele Steidl:
Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels. ICML 2023: 664-690 - [c31]Max Kahl, Stefania Petra, Christoph Schnörr, Gabriele Steidl, Matthias Zisler:
On the Remarkable Efficiency of SMART. SSVM 2023: 418-430 - [c30]Johannes Hertrich, Robert Beinert, Manuel Gräf, Gabriele Steidl:
Wasserstein Gradient Flows of the Discrepancy with Distance Kernel on the Line. SSVM 2023: 431-443 - [i35]Johannes Hertrich, Robert Beinert, Manuel Gräf, Gabriele Steidl:
Wasserstein Gradient Flows of the Discrepancy with Distance Kernel on the Line. CoRR abs/2301.04441 (2023) - [i34]Fabian Altekrüger, Johannes Hertrich, Gabriele Steidl:
Neural Wasserstein Gradient Flows for Maximum Mean Discrepancies with Riesz Kernels. CoRR abs/2301.11624 (2023) - [i33]Paul Hagemann, Lars Ruthotto, Gabriele Steidl, Nicole Tianjiao Yang:
Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation. CoRR abs/2303.04772 (2023) - [i32]Fabian Altekrüger, Paul Hagemann, Gabriele Steidl:
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems. CoRR abs/2303.15845 (2023) - [i31]Michael Quellmalz, Robert Beinert, Gabriele Steidl:
Sliced Optimal Transport on the Sphere. CoRR abs/2304.09092 (2023) - [i30]Johannes von Lindheim, Gabriele Steidl:
Generalized Iterative Scaling for Regularized Optimal Transport with Affine Constraints: Application Examples. CoRR abs/2305.07071 (2023) - [i29]Robert Beinert, Jonas Bresch, Gabriele Steidl:
Denoising of Sphere- and SO(3)-Valued Data by Relaxed Tikhonov Regularization. CoRR abs/2307.10980 (2023) - [i28]Christian Wald, Gabriele Steidl:
A Study of Particle Motion in the Presence of Clusters. CoRR abs/2308.11314 (2023) - [i27]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 abs/2310.03054 (2023) - [i26]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 abs/2312.16611 (2023) - 2022
- [j79]Paul Hagemann, Johannes Hertrich, Gabriele Steidl:
Stochastic Normalizing Flows for Inverse Problems: A Markov Chains Viewpoint. SIAM/ASA J. Uncertain. Quantification 10(1): 1162-1190 (2022) - [j78]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): 228-260 (2022) - [j77]Florian Beier, Robert Beinert, Gabriele Steidl:
On a Linear Gromov-Wasserstein Distance. IEEE Trans. Image Process. 31: 7292-7305 (2022) - [c29]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: 2215-2218 - [i25]Philipp Flotho, Cosmas Heiss, Gabriele Steidl, Daniel J. Strauss:
Lagrangian Motion Magnification with Double Sparse Optical Flow Decomposition. CoRR abs/2204.07636 (2022) - [i24]Florian Beier, Robert Beinert, Gabriele Steidl:
Multi-Marginal Gromov-Wasserstein Transport and Barycenters. CoRR abs/2205.06725 (2022) - [i23]Robert Beinert, Cosmas Heiss, Gabriele Steidl:
On Assignment Problems Related to Gromov-Wasserstein Distances on the Real Line. CoRR abs/2205.09006 (2022) - [i22]Fabian Altekrüger, Alexander Denker, Paul Hagemann, Johannes Hertrich, Peter Maass, Gabriele Steidl:
PatchNR: Learning from Small Data by Patch Normalizing Flow Regularization. CoRR abs/2205.12021 (2022) - [i21]Michael Quellmalz, Peter Elbau, Otmar Scherzer, Gabriele Steidl:
Motion Detection in Diffraction Tomography by Common Circle Methods. CoRR abs/2209.08086 (2022) - [i20]Johannes Hertrich, Manuel Gräf, Robert Beinert, Gabriele Steidl:
Wasserstein Steepest Descent Flows of Discrepancies with Riesz Kernels. CoRR abs/2211.01804 (2022) - 2021
- [j76]Martin Ehler, Manuel Gräf, Sebastian Neumayer, Gabriele Steidl:
Curve Based Approximation of Measures on Manifolds by Discrepancy Minimization. Found. Comput. Math. 21(6): 1595-1642 (2021) - [j75]Robert Beinert, Gabriele Steidl:
Robust PCA via Regularized Reaper with a Matrix-Free Proximal Algorithm. J. Math. Imaging Vis. 63(5): 626-649 (2021) - [j74]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): 77-118 (2021) - [j73]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): 521-522 (2021) - [c28]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: 528-539 - [i19]Robert Beinert, Peter Jung, Gabriele Steidl, Tom Szollmann:
Super-Resolution for Doubly-Dispersive Channel Estimation. CoRR abs/2101.11544 (2021) - [i18]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 abs/2102.03189 (2021) - [i17]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 abs/2104.07990 (2021) - [i16]Paul Hagemann, Johannes Hertrich, Gabriele Steidl:
Stochastic Normalizing Flows for Inverse Problems: a Markov Chains Viewpoint. CoRR abs/2109.11375 (2021) - [i15]Johannes Hertrich, Paul Hagemann, Gabriele Steidl:
A Unified Approach to Variational Autoencoders and Stochastic Normalizing Flows via Markov Chains. CoRR abs/2111.12506 (2021) - [i14]Florian Beier, Robert Beinert, Gabriele Steidl:
On a linear Gromov-Wasserstein distance. CoRR abs/2112.11964 (2021) - 2020
- [j72]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): 771-772 (2020) - [j71]Thomas Batard, Johannes Hertrich, Gabriele Steidl:
Variational Models for Color Image Correction Inspired by Visual Perception and Neuroscience. J. Math. Imaging Vis. 62(9): 1173-1194 (2020) - [c27]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: 546-554 - [i13]Gabriele Steidl, Maximilian Winkler:
A New Constrained Optimization Model for Solving the Nonsymmetric Stochastic Inverse Eigenvalue Problem. CoRR abs/2004.07330 (2020) - [i12]Johannes Hertrich, Gabriele Steidl:
Inertial Stochastic PALM and its Application for Learning Student-t Mixture Models. CoRR abs/2005.02204 (2020) - [i11]Robert Beinert, Gabriele Steidl:
Robust PCA via Regularized REAPER with a Matrix-Free Proximal Algorithm. CoRR abs/2005.05449 (2020) - [i10]Péter Koltai, Johannes von Lindheim, Sebastian Neumayer, Gabriele Steidl:
Transfer Operators from Optimal Transport Plans for Coherent Set Detection. CoRR abs/2006.16085 (2020) - [i9]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 abs/2009.07520 (2020) - [i8]Johannes Hertrich, Sebastian Neumayer, Gabriele Steidl:
Convolutional Proximal Neural Networks and Plug-and-Play Algorithms. CoRR abs/2011.02281 (2020)
2010 – 2019
- 2019
- [j70]Stephan Dahlke, Q. Jahan, Cornelia Schneider, Gabriele Steidl, Gerd Teschke:
Traces of shearlet coorbit spaces on domains. Appl. Math. Lett. 91: 35-40 (2019) - [j69]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): 643-644 (2019) - [j68]Friederike Laus, Gabriele Steidl:
Multivariate Myriad Filters Based on Parameter Estimation of Student-t Distributions. SIAM J. Imaging Sci. 12(4): 1864-1904 (2019) - [j67]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): B1310-B1340 (2019) - [c26]Johannes Hertrich, Miroslav Bacák, Sebastian Neumayer, Gabriele Steidl:
Minimal Lipschitz Extensions for Vector-Valued Functions on Finite Graphs. SSVM 2019: 183-195 - [c25]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: 459-471 - [i7]Marzieh Hasannasab, Johannes Hertrich, Friederike Laus, Gabriele Steidl:
Alternatives of the EM Algorithm for Estimating the Parameters of the Student-t Distribution. CoRR abs/1910.06623 (2019) - [i6]Marzieh Hasannasab, Johannes Hertrich, Sebastian Neumayer, Gerlind Plonka, Simon Setzer, Gabriele Steidl:
Parseval Proximal Neural Networks. CoRR abs/1912.10480 (2019) - 2018
- [j66]Friederike Laus, Fabien Pierre, Gabriele Steidl:
Nonlocal Myriad Filters for Cauchy Noise Removal. J. Math. Imaging Vis. 60(8): 1324-1354 (2018) - [j65]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): 1459-1481 (2018) - [j64]Sebastian Neumayer, Johannes Persch, Gabriele Steidl:
Morphing of Manifold-Valued Images Inspired by Discrete Geodesics in Image Spaces. SIAM J. Imaging Sci. 11(3): 1898-1930 (2018) - [i5]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 abs/1807.10194 (2018) - 2017
- [j63]Benjamin Bauer, Xiaohao Cai, Stephan Peth, Katja Schladitz, Gabriele Steidl:
Variational-based segmentation of bio-pores in tomographic images. Comput. Geosci. 98: 1-8 (2017) - [j62]Ronny Bergmann, Jan Henrik Fitschen, Johannes Persch, Gabriele Steidl:
Iterative Multiplicative Filters for Data Labeling. Int. J. Comput. Vis. 123(3): 435-453 (2017) - [j61]Miroslav Bacák, Martin J. Montag, Gabriele Steidl:
Convergence of functions and their Moreau envelopes on Hadamard spaces. J. Approx. Theory 224: 1-12 (2017) - [j60]Johannes Persch, Fabien Pierre, Gabriele Steidl:
Exemplar-Based Face Colorization Using Image Morphing. J. Imaging 3(4): 48 (2017) - [j59]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): 99-116 (2017) - [j58]Jalal Fadili, Gitta Kutyniok, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl:
JMIV Special Issue Mathematics and Image Analysis. J. Math. Imaging Vis. 59(3): 371-372 (2017) - [j57]Jan Henrik Fitschen, Katharina Losch, Gabriele Steidl:
Unsupervised multi class segmentation of 3D images with intensity inhomogeneities. J. Vis. Commun. Image Represent. 46: 312-323 (2017) - [j56]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): 416-448 (2017) - [c24]Ronny Bergmann, Jan Henrik Fitschen, Johannes Persch, Gabriele Steidl:
Infimal Convolution Coupling of First and Second Order Differences on Manifold-Valued Images. SSVM 2017: 447-459 - [c23]Sebastian Neumayer, Max Nimmer, Gabriele Steidl, Henrike Stephani:
On a Projected Weiszfeld Algorithm. SSVM 2017: 486-497 - [i4]Johannes Persch, Fabien Pierre, Gabriele Steidl:
Examplar-Based Face Colorization Using Image Morphing. CoRR abs/1707.00648 (2017) - 2016
- [j55]Jan Henrik Fitschen, Friederike Laus, Gabriele Steidl:
Transport Between RGB Images Motivated by Dynamic Optimal Transport. J. Math. Imaging Vis. 56(3): 409-429 (2016) - [j54]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): 901-937 (2016) - [j53]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) - [c22]Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Gabriele Steidl, Vinh-Thong Ta:
Hue-preserving perceptual contrast enhancement. ICIP 2016: 4067-4071 - [i3]Friederike Laus, Johannes Persch, Gabriele Steidl:
A Nonlocal Denoising Algorithm for Manifold-Valued Images Using Second Order Statistics. CoRR abs/1607.08481 (2016) - 2015
- [j52]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: 243-255 (2015) - [j51]Jalal Fadili, Gitta Kutyniok, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl:
Guest Editorial: Mathematics and Image Analysis. J. Math. Imaging Vis. 52(3): 315-316 (2015) - [c21]Jérôme Fehrenbach, Mila Nikolova, Gabriele Steidl, Pierre Weiss:
Bilevel Image Denoising Using Gaussianity Tests. SSVM 2015: 117-128 - [c20]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: 385-396 - [c19]Jan Henrik Fitschen, Mila Nikolova, Fabien Pierre, Gabriele Steidl:
A Variational Model for Color Assignment. SSVM 2015: 437-448 - [p2]Stephan Dahlke, Sören Häuser, Gabriele Steidl, Gerd Teschke:
Shearlet Coorbit Theory. Harmonic and Applied Analysis 2015: 83-147 - [r1]Gabriele Steidl:
Supervised Learning by Support Vector Machines. Handbook of Mathematical Methods in Imaging 2015: 1393-1453 - 2014
- [j50]Sören Häuser, Bettina Heise, Gabriele Steidl:
Linearized Riesz transform and quasi-monogenic shearlets. Int. J. Wavelets Multiresolution Inf. Process. 12(3) (2014) - [j49]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): 295-307 (2014) - [j48]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): 1136-1148 (2014) - [j47]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): 2916-2953 (2014) - [j46]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): 4087-4100 (2014) - [j45]Mila Nikolova, Gabriele Steidl:
Fast Ordering Algorithm for Exact Histogram Specification. IEEE Trans. Image Process. 23(12): 5274-5283 (2014) - [c18]Zeinab Mortezapouraghdam, Lars Haab, Gabriele Steidl, Daniel J. Strauss:
Detection of change points in phase data: A Bayesian analysis of habituation processes. EMBC 2014: 1014-1017 - [i2]Martin Burger, Alex Sawatzky, Gabriele Steidl:
First order algorithms in variational image processing. CoRR abs/1412.4237 (2014) - 2013
- [j44]Simon Setzer, Gabriele Steidl, Jan Morgenthaler:
A cyclic projected gradient method. Comput. Optim. Appl. 54(2): 417-440 (2013) - [j43]Sören Häuser, Gabriele Steidl:
Convex multiclass segmentation with shearlet regularization. Int. J. Comput. Math. 90(1): 62-81 (2013) - [j42]Antonin Chambolle, Michael Hintermüller, Thomas Pock, Christoph Schnörr, Gabriele Steidl:
Guest Editorial: Variational Models, Convex Analysis and Numerical Optimization in Mathematical Imaging. J. Math. Imaging Vis. 47(3): 165-166 (2013) - [j41]René Ciak, Behrang Shafei, Gabriele Steidl:
Homogeneous Penalizers and Constraints in Convex Image Restoration. J. Math. Imaging Vis. 47(3): 210-230 (2013) - [c17]Xiaohao Cai, Gabriele Steidl:
Multiclass Segmentation by Iterated ROF Thresholding. EMMCVPR 2013: 237-250 - [c16]Stanislav Harizanov, Jean-Christophe Pesquet, Gabriele Steidl:
Epigraphical Projection for Solving Least Squares Anscombe Transformed Constrained Optimization Problems. SSVM 2013: 125-136 - 2012
- [j40]Simon Setzer, Gabriele Steidl, Tanja Teuber:
On vector and matrix median computation. J. Comput. Appl. Math. 236(8): 2200-2222 (2012) - [j39]Behrang Shafei, Gabriele Steidl:
Segmentation of images with separating layers by fuzzy c-means and convex optimization. J. Vis. Commun. Image Represent. 23(4): 611-621 (2012) - [j38]Yanyan He, M. Yousuff Hussaini, Jianwei Ma, Behrang Shafei, Gabriele Steidl:
A new fuzzy c-means method with total variation regularization for segmentation of images with noisy and incomplete data. Pattern Recognit. 45(9): 3463-3471 (2012) - [j37]Manuel Gräf, Daniel Potts, Gabriele Steidl:
Quadrature Errors, Discrepancies, and Their Relations to Halftoning on the Torus and the Sphere. SIAM J. Sci. Comput. 34(5) (2012) - [j36]Tanja Teuber, Steffen Remmele, Jürgen Hesser, Gabriele Steidl:
Denoising by second order statistics. Signal Process. 92(12): 2837-2847 (2012) - [c15]J. Kristof Schubert, Tanja Teuber, Gabriele Steidl, Daniel J. Strauss, Farah I. Corona-Strauss:
Nonlocal two dimensional denoising of frequency specific chirp evoked ABR single trials. EMBC 2012: 2527-2530 - 2011
- [j35]Tanja Teuber, Gabriele Steidl, Pascal Gwosdek, Christian Schmaltz, Joachim Weickert:
Dithering by Differences of Convex Functions. SIAM J. Imaging Sci. 4(1): 79-108 (2011) - [c14]Manuel Gräf, Daniel Potts, Gabriele Steidl:
Quadrature Nodes Meet Stippling Dots. SSVM 2011: 568-579 - 2010
- [j34]Simon Setzer, Gabriele Steidl, Tanja Teuber, Guido Moerkotte:
Approximation related to quotient functionals. J. Approx. Theory 162(3): 545-558 (2010) - [j33]Gabriele Steidl, Tanja Teuber:
Removing Multiplicative Noise by Douglas-Rachford Splitting Methods. J. Math. Imaging Vis. 36(2): 168-184 (2010) - [j32]Simon Setzer, Gabriele Steidl, Tanja Teuber:
Deblurring Poissonian images by split Bregman techniques. J. Vis. Commun. Image Represent. 21(3): 193-199 (2010)
2000 – 2009
- 2009
- [j31]Stephan Didas, Simon Setzer, Gabriele Steidl:
Combined l2 data and gradient fitting in conjunction with l1 regularization. Adv. Comput. Math. 30(1): 79-99 (2009) - [j30]Jing Yuan, Christoph Schnörr, Gabriele Steidl:
Convex Hodge Decomposition and Regularization of Image Flows. J. Math. Imaging Vis. 33(2): 169-177 (2009) - [j29]Guido Moerkotte, Thomas Neumann, Gabriele Steidl:
Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors. Proc. VLDB Endow. 2(1): 982-993 (2009) - [j28]Gabriele Steidl, Tanja Teuber:
Diffusion Tensors for Processing Sheared and Rotated Rectangles. IEEE Trans. Image Process. 18(12): 2640-2648 (2009) - [c13]Gabriele Steidl, Tanja Teuber:
Anisotropic Smoothing Using Double Orientations. SSVM 2009: 477-489 - [c12]Jing Yuan, Christoph Schnörr, Gabriele Steidl:
Total-Variation Based Piecewise Affine Regularization. SSVM 2009: 552-564 - 2008
- [j27]Simon Setzer, Gabriele Steidl, Tanja Teuber:
Restoration of images with rotated shapes. Numer. Algorithms 48(1-3): 49-66 (2008) - [j26]Raymond H. Chan, Simon Setzer, Gabriele Steidl:
Inpainting by Flexible Haar-Wavelet Shrinkage. SIAM J. Imaging Sci. 1(3): 273-293 (2008) - [c11]Jing Yuan, Gabriele Steidl, Christoph Schnörr:
Convex Hodge Decomposition of Image Flows. DAGM-Symposium 2008: 416-425 - [i1]Stephan Dahlke, Gabriele Steidl, Gerd Teschke:
The Continuous Shearlet Transform in Arbitrary Space Dimensions. Structured Decompositions and Efficient Algorithms 2008 - 2007
- [j25]Gabriele Steidl, Simon Setzer, B. Popilka, Bernhard Burgeth:
Restoration of matrix fields by second-order cone programming. Computing 81(2-3): 161-178 (2007) - [j24]Jing Yuan, Christoph Schnörr, Gabriele Steidl:
Simultaneous Higher-Order Optical Flow Estimation and Decomposition. SIAM J. Sci. Comput. 29(6): 2283-2304 (2007) - 2006
- [j23]Gabriele Steidl:
A Note on the Dual Treatment of Higher-Order Regularization Functionals. Computing 76(1-2): 135-148 (2006) - [j22]Gabriele Steidl, Stephan Didas, Julia Neumann:
Splines in Higher Order TV Regularization. Int. J. Comput. Vis. 70(3): 241-255 (2006) - [j21]Gerlind Plonka, Gabriele Steidl:
A Multiscale Wavelet-Inspired Scheme for Nonlinear Diffusion. Int. J. Wavelets Multiresolution Inf. Process. 4(1): 1-21 (2006) - [j20]Stefan Kunis, Daniel Potts, Gabriele Steidl:
Fast Gauss transforms with complex parameters using NFFTs. J. Num. Math. 14(4): 295-303 (2006) - [c10]Martin Welk, Joachim Weickert, Gabriele Steidl:
From Tensor-Driven Diffusion to Anisotropic Wavelet Shrinkage. ECCV (1) 2006: 391-403 - [p1]Joachim Weickert, Gabriele Steidl, Pavel Mrázek, Martin Welk, Thomas Brox:
Diffusion Filters and Wavelets: What Can They Learn from Each Other? Handbook of Mathematical Models in Computer Vision 2006: 1-16 - 2005
- [j19]Pavel Mrázek, Joachim Weickert, Gabriele Steidl:
Diffusion-Inspired Shrinkage Functions and Stability Results for Wavelet Denoising. Int. J. Comput. Vis. 64(2-3): 171-186 (2005) - [j18]Julia Neumann, Gabriele Steidl:
Dual-Tree Complex Wavelet Transform in the Frequency Domain and an Application to Signal Classification. Int. J. Wavelets Multiresolution Inf. Process. 3(1): 43-65 (2005) - [j17]Julia Neumann, Christoph Schnörr, Gabriele Steidl:
Combined SVM-Based Feature Selection and Classification. Mach. Learn. 61(1-3): 129-150 (2005) - [j16]Julia Neumann, Christoph Schnörr, Gabriele Steidl:
Efficient wavelet adaptation for hybrid wavelet-large margin classifiers. Pattern Recognit. 38(11): 1815-1830 (2005) - [c9]Aleh Kryvanos, Jürgen Hesser, Gabriele Steidl:
Nonlinear image restoration methods for marker extraction in 3D fluorescent microscopy. Computational Imaging 2005: 432-443 - [c8]Gabriele Steidl, Stephan Didas, Julia Neumann:
Relations Between Higher Order TV Regularization and Support Vector Regression. Scale-Space 2005: 515-527 - [c7]Martin Welk, Joachim Weickert, Gabriele Steidl:
A Four-Pixel Scheme for Singular Differential Equations. Scale-Space 2005: 610-621 - [c6]Jing Yuan, Christoph Schnörr, Gabriele Steidl, Florian Becker:
A Study of Non-smooth Convex Flow Decomposition. VLSM 2005: 1-12 - 2004
- [j15]Stephan Dahlke, Gabriele Steidl, Gerd Teschke:
Coorbit Spaces and Banach Frames on Homogeneous Spaces with Applications to the Sphere. Adv. Comput. Math. 21(1-2): 147-180 (2004) - [j14]Daniel Potts, Gabriele Steidl, Arthur Nieslony:
Fast convolution with radial kernels at nonequispaced knots. Numerische Mathematik 98(2): 329-351 (2004) - [j13]Gabriele Steidl, Joachim Weickert, Thomas Brox, Pavel Mrázek, Martin Welk:
On the Equivalence of Soft Wavelet Shrinkage, Total Variation Diffusion, Total Variation Regularization, and SIDEs. SIAM J. Numer. Anal. 42(2): 686-713 (2004) - [c5]Julia Neumann, Christoph Schnörr, Gabriele Steidl:
SVM-Based Feature Selection by Direct Objective Minimisation. DAGM-Symposium 2004: 212-219 - 2003
- [j12]Daniel Potts, Gabriele Steidl:
Fast Summation at Nonequispaced Knots by NFFT. SIAM J. Sci. Comput. 24(6): 2013-2037 (2003) - [j11]Daniel J. Strauss, Gabriele Steidl, Wolfgang Delb:
Feature extraction by shape-adapted local discriminant bases. Signal Process. 83(2): 359-376 (2003) - [c4]Julia Neumann, Christoph Schnörr, Gabriele Steidl:
Feasible Adaptation Criteria for Hybrid Wavelet - Large Margin Classifiers. CAIP 2003: 588-595 - [c3]Thomas Brox, Martin Welk, Gabriele Steidl, Joachim Weickert:
Equivalence Results for TV Diffusion and TV Regularisation. Scale-Space 2003: 86-100 - [c2]Pavel Mrázek, Joachim Weickert, Gabriele Steidl:
Correspondences between Wavelet Shrinkage and Nonlinear Diffusion. Scale-Space 2003: 101-116 - 2002
- [c1]Gabriele Steidl, Joachim Weickert:
Relations between Soft Wavelet Shrinkage and Total Variation Denoising. DAGM-Symposium 2002: 198-205 - 2001
- [j10]Raymond H. Chan, Daniel Potts, Gabriele Steidl:
Preconditioners for non-Hermitian Toeplitz systems. Numer. Linear Algebra Appl. 8(2): 83-98 (2001) - [j9]Raymond H. Chan, Daniel Potts, Gabriele Steidl:
Preconditioners for Nondefinite Hermitian Toeplitz Systems. SIAM J. Matrix Anal. Appl. 22(3): 647-665 (2001) - [j8]Daniel Potts, Gabriele Steidl:
Preconditioners for Ill-Conditioned Toeplitz Systems Constructed from Positive Kernels. SIAM J. Sci. Comput. 22(5): 1741-1761 (2001)
1990 – 1999
- 1998
- [j7]Gabriele Steidl:
A note on fast Fourier transforms for nonequispaced grids. Adv. Comput. Math. 9(3-4): 337-352 (1998) - [j6]Daniel Potts, Gabriele Steidl, Manfred Tasche:
Fast algorithms for discrete polynomial transforms. Math. Comput. 67(224): 1577-1590 (1998) - 1995
- [j5]Gabriele Steidl:
On multivariate attenuation factors. Numer. Algorithms 9(2): 245-261 (1995) - 1992
- [j4]Gabriele Steidl:
Fast Radix-p Discrete Cosine Transform. Appl. Algebra Eng. Commun. Comput. 3: 39-46 (1992) - [j3]Gabriele Steidl:
Chebyshev polynomial derivation of composite-length DCT algorithms. Signal Process. 29(1): 17-27 (1992) - 1990
- [j2]Gabriele Steidl:
Existence and Construction of Self-complementary Normal Bases. J. Inf. Process. Cybern. 26(11/12): 643-651 (1990)
1980 – 1989
- 1988
- [b1]Gabriele Steidl:
Grundlagen schneller Algorithmen für verallgemeinerte diskrete Fouriertransformationen. University of Rostock, Germany, 1988 - [j1]Reiner Creutzburg, Gabriele Steidl:
Number-theoretic Transforms in Rings of Cyclotomic Integers. J. Inf. Process. Cybern. 24(11/12): 573-584 (1988)
Coauthor Index
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