Gabriele Steidl

Orcid: 0000-0003-4638-9245

Affiliations:
  • TU Berlin, Institute of Mathematics, Germany
  • University of Kaiserslautern, Germany
  • University of Rostock, Fachbereich Mathematik, Germany (PhD 1988)


According to our database1, Gabriele Steidl authored at least 151 papers between 1988 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Transfer Operators from Batches of Unpaired Points via Entropic Transport Kernels.
CoRR, 2024

Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces.
CoRR, 2024

Mixed Noise and Posterior Estimation with Conditional DeepGEM.
CoRR, 2024

Parallelly Sliced Optimal Transport on Spheres and on the Rotation Group.
CoRR, 2024

Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs.
CoRR, 2024

2023
On Assignment Problems Related to Gromov-Wasserstein Distances on the Real Line.
SIAM J. Imaging Sci., June, 2023

Motion detection in diffraction tomography by common circle methods.
Math. Comput., June, 2023

Unbalanced Multi-marginal Optimal Transport.
J. Math. Imaging Vis., June, 2023

Lagrangian motion magnification with double sparse optical flow decomposition.
Frontiers Appl. Math. Stat., 2023

Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction.
CoRR, 2023

Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel.
CoRR, 2023

A Study of Particle Motion in the Presence of Clusters.
CoRR, 2023

Denoising of Sphere- and SO(3)-Valued Data by Relaxed Tikhonov Regularization.
CoRR, 2023

Generalized Iterative Scaling for Regularized Optimal Transport with Affine Constraints: Application Examples.
CoRR, 2023

Sliced Optimal Transport on the Sphere.
CoRR, 2023

Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems.
CoRR, 2023

Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation.
CoRR, 2023

Neural Wasserstein Gradient Flows for Maximum Mean Discrepancies with Riesz Kernels.
CoRR, 2023

On the Remarkable Efficiency of SMART.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

Wasserstein Gradient Flows of the Discrepancy with Distance Kernel on the Line.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels.
Proceedings of the International Conference on Machine Learning, 2023

2022
Stochastic Normalizing Flows for Inverse Problems: A Markov Chains Viewpoint.
SIAM/ASA J. Uncertain. Quantification, March, 2022

On a Linear Gromov-Wasserstein Distance.
IEEE Trans. Image Process., 2022

An Image Registration Model in Electron Backscatter Diffraction.
SIAM J. Imaging Sci., 2022

Wasserstein Steepest Descent Flows of Discrepancies with Riesz Kernels.
CoRR, 2022

PatchNR: Learning from Small Data by Patch Normalizing Flow Regularization.
CoRR, 2022

Multi-Marginal Gromov-Wasserstein Transport and Barycenters.
CoRR, 2022

Lagrangian Motion Magnification with Landmark-Prior and Sparse PCA for Facial Microexpressions and Micromovements.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
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, 2021

Alternatives to the EM algorithm for ML estimation of location, scatter matrix, and degree of freedom of the Student t distribution.
Numer. Algorithms, 2021

Robust PCA via Regularized Reaper with a Matrix-Free Proximal Algorithm.
J. Math. Imaging Vis., 2021

Curve Based Approximation of Measures on Manifolds by Discrepancy Minimization.
Found. Comput. Math., 2021

A Unified Approach to Variational Autoencoders and Stochastic Normalizing Flows via Markov Chains.
CoRR, 2021

Fourier reconstruction for diffraction tomography of an object rotated into arbitrary orientations.
CoRR, 2021

Super-Resolution for Doubly-Dispersive Channel Estimation.
CoRR, 2021

Invertible Neural Networks Versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

2020
Guest Editorial: Special Issue in Memory of Mila Nikolova.
J. Math. Imaging Vis., 2020

Variational Models for Color Image Correction Inspired by Visual Perception and Neuroscience.
J. Math. Imaging Vis., 2020

Convolutional Proximal Neural Networks and Plug-and-Play Algorithms.
CoRR, 2020

PCA Reduced Gaussian Mixture Models with Applications in Superresolution.
CoRR, 2020

Transfer Operators from Optimal Transport Plans for Coherent Set Detection.
CoRR, 2020

Inertial Stochastic PALM and its Application for Learning Student-t Mixture Models.
CoRR, 2020

A New Constrained Optimization Model for Solving the Nonsymmetric Stochastic Inverse Eigenvalue Problem.
CoRR, 2020

Fast Entropy Maximization for Selectivity Estimation of Conjunctive Predicates on CPUs and GPUs.
Proceedings of the 23rd International Conference on Extending Database Technology, 2020

2019
Linkage Between Piecewise Constant Mumford-Shah Model and Rudin-Osher-Fatemi Model and Its Virtue in Image Segmentation.
SIAM J. Sci. Comput., 2019

Multivariate Myriad Filters Based on Parameter Estimation of Student-t Distributions.
SIAM J. Imaging Sci., 2019

Guest Editorial JMIV Special Issue Mathematics and Image Analysis (MIA).
J. Math. Imaging Vis., 2019

Parseval Proximal Neural Networks.
CoRR, 2019

Alternatives of the EM Algorithm for Estimating the Parameters of the Student-t Distribution.
CoRR, 2019

Traces of shearlet coorbit spaces on domains.
Appl. Math. Lett., 2019

Minimal Lipschitz Extensions for Vector-Valued Functions on Finite Graphs.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019

A Connection Between Image Processing and Artificial Neural Networks Layers Through a Geometric Model of Visual Perception.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019

2018
Morphing of Manifold-Valued Images Inspired by Discrete Geodesics in Image Spaces.
SIAM J. Imaging Sci., 2018

Nonlocal Myriad Filters for Cauchy Noise Removal.
J. Math. Imaging Vis., 2018

Priors with Coupled First and Second Order Differences for Manifold-Valued Image Processing.
J. Math. Imaging Vis., 2018

Linkage between Piecewise Constant Mumford-Shah model and ROF model and its virtue in image segmentation.
CoRR, 2018

2017
A Nonlocal Denoising Algorithm for Manifold-Valued Images Using Second Order Statistics.
SIAM J. Imaging Sci., 2017

Unsupervised multi class segmentation of 3D images with intensity inhomogeneities.
J. Vis. Commun. Image Represent., 2017

Variational Contrast Enhancement of Gray-Scale and RGB Images.
J. Math. Imaging Vis., 2017

JMIV Special Issue Mathematics and Image Analysis.
J. Math. Imaging Vis., 2017

Exemplar-Based Face Colorization Using Image Morphing.
J. Imaging, 2017

Convergence of functions and their Moreau envelopes on Hadamard spaces.
J. Approx. Theory, 2017

Iterative Multiplicative Filters for Data Labeling.
Int. J. Comput. Vis., 2017

Variational-based segmentation of bio-pores in tomographic images.
Comput. Geosci., 2017

Examplar-Based Face Colorization Using Image Morphing.
CoRR, 2017

On a Projected Weiszfeld Algorithm.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

Infimal Convolution Coupling of First and Second Order Differences on Manifold-Valued Images.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

2016
A Second Order Nonsmooth Variational Model for Restoring Manifold-Valued Images.
SIAM J. Sci. Comput., 2016

A Parallel Douglas-Rachford Algorithm for Minimizing ROF-like Functionals on Images with Values in Symmetric Hadamard Manifolds.
SIAM J. Imaging Sci., 2016

Transport Between RGB Images Motivated by Dynamic Optimal Transport.
J. Math. Imaging Vis., 2016

A Nonlocal Denoising Algorithm for Manifold-Valued Images Using Second Order Statistics.
CoRR, 2016

Hue-preserving perceptual contrast enhancement.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Supervised Learning by Support Vector Machines.
Proceedings of the Handbook of Mathematical Methods in Imaging, 2015

Guest Editorial: Mathematics and Image Analysis.
J. Math. Imaging Vis., 2015

Proximal operator of quotient functions with application to a feasibility problem in query optimization.
J. Comput. Appl. Math., 2015

A Variational Model for Color Assignment.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

Bilevel Image Denoising Using Gaussianity Tests.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

Computation and Visualization of Local Deformation for Multiphase Metallic Materials by Infimal Convolution of TV-Type Functionals.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

Shearlet Coorbit Theory.
Proceedings of the Harmonic and Applied Analysis - From Groups to Signals, 2015

2014
Fast Ordering Algorithm for Exact Histogram Specification.
IEEE Trans. Image Process., 2014

Fast Hue and Range Preserving Histogram Specification: Theory and New Algorithms for Color Image Enhancement.
IEEE Trans. Image Process., 2014

Second Order Differences of Cyclic Data and Applications in Variational Denoising.
SIAM J. Imaging Sci., 2014

Supervised and transductive multi-class segmentation using p-Laplacians and RKHS methods.
J. Vis. Commun. Image Represent., 2014

Fully Smoothed ℓ 1-TV Models: Bounds for the Minimizers and Parameter Choice.
J. Math. Imaging Vis., 2014

Linearized Riesz transform and quasi-monogenic shearlets.
Int. J. Wavelets Multiresolution Inf. Process., 2014

First order algorithms in variational image processing.
CoRR, 2014

Detection of change points in phase data: A Bayesian analysis of habituation processes.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Homogeneous Penalizers and Constraints in Convex Image Restoration.
J. Math. Imaging Vis., 2013

Guest Editorial: Variational Models, Convex Analysis and Numerical Optimization in Mathematical Imaging.
J. Math. Imaging Vis., 2013

Convex multiclass segmentation with shearlet regularization.
Int. J. Comput. Math., 2013

A cyclic projected gradient method.
Comput. Optim. Appl., 2013

Epigraphical Projection for Solving Least Squares Anscombe Transformed Constrained Optimization Problems.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

Multiclass Segmentation by Iterated ROF Thresholding.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013

2012
Denoising by second order statistics.
Signal Process., 2012

Quadrature Errors, Discrepancies, and Their Relations to Halftoning on the Torus and the Sphere.
SIAM J. Sci. Comput., 2012

A new fuzzy c-means method with total variation regularization for segmentation of images with noisy and incomplete data.
Pattern Recognit., 2012

Segmentation of images with separating layers by fuzzy c-means and convex optimization.
J. Vis. Commun. Image Represent., 2012

On vector and matrix median computation.
J. Comput. Appl. Math., 2012

Nonlocal two dimensional denoising of frequency specific chirp evoked ABR single trials.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Dithering by Differences of Convex Functions.
SIAM J. Imaging Sci., 2011

Quadrature Nodes Meet Stippling Dots.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

2010
Deblurring Poissonian images by split Bregman techniques.
J. Vis. Commun. Image Represent., 2010

Removing Multiplicative Noise by Douglas-Rachford Splitting Methods.
J. Math. Imaging Vis., 2010

Approximation related to quotient functionals.
J. Approx. Theory, 2010

2009
Diffusion Tensors for Processing Sheared and Rotated Rectangles.
IEEE Trans. Image Process., 2009

Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors.
Proc. VLDB Endow., 2009

Convex Hodge Decomposition and Regularization of Image Flows.
J. Math. Imaging Vis., 2009

Combined <i>l</i><sub>2</sub> data and gradient fitting in conjunction with <i>l</i><sub>1</sub> regularization.
Adv. Comput. Math., 2009

Total-Variation Based Piecewise Affine Regularization.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

Anisotropic Smoothing Using Double Orientations.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

2008
Inpainting by Flexible Haar-Wavelet Shrinkage.
SIAM J. Imaging Sci., 2008

Restoration of images with rotated shapes.
Numer. Algorithms, 2008

The Continuous Shearlet Transform in Arbitrary Space Dimensions.
Proceedings of the Structured Decompositions and Efficient Algorithms, 30.11. - 05.12.2008, 2008

Convex Hodge Decomposition of Image Flows.
Proceedings of the Pattern Recognition, 2008

2007
Simultaneous Higher-Order Optical Flow Estimation and Decomposition.
SIAM J. Sci. Comput., 2007

Restoration of matrix fields by second-order cone programming.
Computing, 2007

2006
Fast Gauss transforms with complex parameters using NFFTs.
J. Num. Math., 2006

A Multiscale Wavelet-Inspired Scheme for Nonlinear Diffusion.
Int. J. Wavelets Multiresolution Inf. Process., 2006

Splines in Higher Order TV Regularization.
Int. J. Comput. Vis., 2006

A Note on the Dual Treatment of Higher-Order Regularization Functionals.
Computing, 2006

From Tensor-Driven Diffusion to Anisotropic Wavelet Shrinkage.
Proceedings of the Computer Vision, 2006

Diffusion Filters and Wavelets: What Can They Learn from Each Other?
Proceedings of the Handbook of Mathematical Models in Computer Vision, 2006

2005
Efficient wavelet adaptation for hybrid wavelet-large margin classifiers.
Pattern Recognit., 2005

Combined SVM-Based Feature Selection and Classification.
Mach. Learn., 2005

Dual-Tree Complex Wavelet Transform in the Frequency Domain and an Application to Signal Classification.
Int. J. Wavelets Multiresolution Inf. Process., 2005

Diffusion-Inspired Shrinkage Functions and Stability Results for Wavelet Denoising.
Int. J. Comput. Vis., 2005

A Study of Non-smooth Convex Flow Decomposition.
Proceedings of the Variational, 2005

A Four-Pixel Scheme for Singular Differential Equations.
Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

Relations Between Higher Order TV Regularization and Support Vector Regression.
Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

Nonlinear image restoration methods for marker extraction in 3D fluorescent microscopy.
Proceedings of the Computational Imaging III, San Jose, 2005

2004
On the Equivalence of Soft Wavelet Shrinkage, Total Variation Diffusion, Total Variation Regularization, and SIDEs.
SIAM J. Numer. Anal., 2004

Fast convolution with radial kernels at nonequispaced knots.
Numerische Mathematik, 2004

Coorbit Spaces and Banach Frames on Homogeneous Spaces with Applications to the Sphere.
Adv. Comput. Math., 2004

SVM-Based Feature Selection by Direct Objective Minimisation.
Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004

2003
Feature extraction by shape-adapted local discriminant bases.
Signal Process., 2003

Fast Summation at Nonequispaced Knots by NFFT.
SIAM J. Sci. Comput., 2003

Correspondences between Wavelet Shrinkage and Nonlinear Diffusion.
Proceedings of the Scale Space Methods in Computer Vision, 4th International Conference, 2003

Equivalence Results for TV Diffusion and TV Regularisation.
Proceedings of the Scale Space Methods in Computer Vision, 4th International Conference, 2003

Feasible Adaptation Criteria for Hybrid Wavelet - Large Margin Classifiers.
Proceedings of the Computer Analysis of Images and Patterns, 10th International Conference, 2003

2002
Relations between Soft Wavelet Shrinkage and Total Variation Denoising.
Proceedings of the Pattern Recognition, 2002

2001
Preconditioners for Ill-Conditioned Toeplitz Systems Constructed from Positive Kernels.
SIAM J. Sci. Comput., 2001

Preconditioners for Nondefinite Hermitian Toeplitz Systems.
SIAM J. Matrix Anal. Appl., 2001

Preconditioners for non-Hermitian Toeplitz systems.
Numer. Linear Algebra Appl., 2001

1998
Fast algorithms for discrete polynomial transforms.
Math. Comput., 1998

A note on fast Fourier transforms for nonequispaced grids.
Adv. Comput. Math., 1998

1995
On multivariate attenuation factors.
Numer. Algorithms, 1995

1992
Chebyshev polynomial derivation of composite-length DCT algorithms.
Signal Process., 1992

Fast Radix-p Discrete Cosine Transform.
Appl. Algebra Eng. Commun. Comput., 1992

1990
Existence and Construction of Self-complementary Normal Bases.
J. Inf. Process. Cybern., 1990

1988
Grundlagen schneller Algorithmen für verallgemeinerte diskrete Fouriertransformationen.
PhD thesis, 1988

Number-theoretic Transforms in Rings of Cyclotomic Integers.
J. Inf. Process. Cybern., 1988


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