G. Steidl

Most-cited papers

Restoration of Manifold-Valued Images by Half-Quadratic Minimization
Ronny Bergmann, R. Chan, R. Hielscher, Johannes Persch +1 more
201585 citations Open access
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Convolutional Proximal Neural Networks and Plug-and-Play Algorithms
J. Hertrich, S. Neumayer, G. Steidl
2020Linear Algebra and its Applications78 citations Open access
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Parseval Proximal Neural Networks
Marzieh Hasannasab, J. Hertrich, S. Neumayer, Gerlind Plonka +2 more
2019Journal of Fourier Analysis and Applications62 citations Open access
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Stochastic Normalizing Flows for Inverse Problems: a Markov Chains Viewpoint
P. Hagemann, J. Hertrich, G. Steidl
2021SIAM/ASA J. Uncertain. Quantification49 citations Open access
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Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation
P. Hagemann, Sophie Mildenberger, Lars Ruthotto, G. Steidl +1 more
2023SIAM Journal on Mathematics of Data Science47 citations Open access
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On a Linear Gromov–Wasserstein Distance
F. Beier, R. Beinert, G. Steidl
2021IEEE Transactions on Image Processing40 citations Open access
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Curve Based Approximation of Measures on Manifolds by Discrepancy Minimization
M. Ehler, Manuel Gräf, S. Neumayer, G. Steidl
2019Foundations of Computational Mathematics37 citations Open access
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Priors with Coupled First and Second Order Differences for Manifold-Valued Image Processing
Ronny Bergmann, J. Fitschen, Johannes Persch, G. Steidl
2017Journal of Mathematical Imaging and Vision37 citations Open access
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PatchNR: learning from very few images by patch normalizing flow regularization
Fabian Altekrüger, Alexander Denker, P. Hagemann, J. Hertrich +2 more
2022Inverse Problems34 citations Open access
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Unbalanced Multi-marginal Optimal Transport
F. Beier, Johannes von Lindheim, S. Neumayer, G. Steidl
2021Journal of Mathematical Imaging and Vision34 citations Open access
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A Nonlocal Denoising Algorithm for Manifold-Valued Images Using Second Order Statistics
Friederike Laus, M. Nikolova, Johannes Persch, G. Steidl
2016SIAM Journal of Imaging Sciences33 citations Open access
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Sliced optimal transport on the sphere
Michael Quellmalz, R. Beinert, G. Steidl
2023Inverse Problems32 citations Open access
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Linkage Between Piecewise Constant Mumford-Shah Model and Rudin-Osher-Fatemi Model and Its Virtue in Image Segmentation
Xiao-Hao Cai, R. Chan, C. Schönlieb, G. Steidl +1 more
2019SIAM Journal on Scientific Computing31 citations Open access
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Variational Contrast Enhancement of Gray-Scale and RGB Images
F. Pierre, Jean-François Aujol, Aurélie Bugeau, G. Steidl +1 more
2016Journal of Mathematical Imaging and Vision31 citations
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From Optimal Transport to Discrepancy
S. Neumayer, G. Steidl
2020Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging29 citations
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Reducing curtaining effects in FIB/SEM applications by a goniometer stage and an image processing method
T. Loeber, B. Laegel, S. Wolff, S. Schuff +5 more
201728 citations
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Generalized Normalizing Flows via Markov Chains
P. Hagemann, J. Hertrich, G. Steidl
202127 citations Open access
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Measurement of strain, strain rate and crack evolution in shear cutting
C. Hartmann, Hannes Alois Weiss, Philipp Lechner, W. Volk +3 more
202127 citations Open access
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Wasserstein Steepest Descent Flows of Discrepancies with Riesz Kernels
J. Hertrich, Manuel Gräf, R. Beinert, G. Steidl
2022Journal of Mathematical Analysis and Applications26 citations Open access
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PCA Reduced Gaussian Mixture Models with Applications in Superresolution
J. Hertrich, Dang Nguyen, Jean-François Aujol, D. Bernard +3 more
2020Inverse Problems and Imaging23 citations Open access
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Nonlocal Myriad Filters for Cauchy Noise Removal
Friederike Laus, F. Pierre, G. Steidl
2017Journal of Mathematical Imaging and Vision23 citations Open access
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Variational-based segmentation of bio-pores in tomographic images
B. Bauer, Xiao-Hao Cai, S. Peth, K. Schladitz +1 more
2017Computational Geosciences23 citations Open access
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Alternatives to the EM algorithm for ML estimation of location, scatter matrix, and degree of freedom of the Student t distribution
Marzieh Hasannasab, J. Hertrich, Friederike Laus, G. Steidl
2019Numerical Algorithms21 citations Open access
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On Assignment Problems Related to Gromov-Wasserstein Distances on the Real Line
R. Beinert, Cosmas Heiss, G. Steidl
2022SIAM Journal of Imaging Sciences20 citations Open access
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Lagrangian Motion Magnification with Double Sparse Optical Flow Decomposition
Philipp Flotho, Cosmas Heiss, G. Steidl, D. Strauss
2022Frontiers Appl. Math. Stat.19 citations Open access
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Fourier reconstruction for diffraction tomography of an object rotated into arbitrary orientations
C. Kirisits, Michael Quellmalz, M. Ritsch-Marte, O. Scherzer +2 more
2021Inverse Problems19 citations Open access
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Invertible Neural Networks versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence
A. Andrle, N. Farchmin, P. Hagemann, S. Heidenreich +2 more
2021Scale Space and Variational Methods in Computer Vision19 citations Open access
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Iterative Multiplicative Filters for Data Labeling
Ronny Bergmann, J. Fitschen, Johannes Persch, G. Steidl
2016International Journal of Computer Vision17 citations Open access
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Inertial stochastic PALM and applications in machine learning
J. Hertrich, G. Steidl
2020Sampling Theory, Signal Processing, and Data Analysis16 citations Open access
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Neural Wasserstein Gradient Flows for Maximum Mean Discrepancies with Riesz Kernels
Fabian Altekrüger, J. Hertrich, G. Steidl
2023International Conference on Machine Learning15 citations Open access
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Multi-Marginal Gromov-Wasserstein Transport and Barycenters
F. Beier, R. Beinert, G. Steidl
2022arXiv.org15 citations Open access
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Regularization of inverse problems via time discrete geodesics in image spaces
S. Neumayer, Johannes Persch, G. Steidl
2018Inverse Problems15 citations Open access
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Exemplar-Based Face Colorization Using Image Morphing
Johannes Persch, F. Pierre, G. Steidl
2017Journal of Imaging15 citations Open access
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Wasserstein Gradient Flows of the Discrepancy with Distance Kernel on the Line
J. Hertrich, R. Beinert, Manuel Gräf, G. Steidl
2023Scale Space and Variational Methods in Computer Vision14 citations Open access
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On the Robust PCA and Weiszfeld’s Algorithm
S. Neumayer, Max Nimmer, S. Setzer, G. Steidl
2019Applied Mathematics and Optimization14 citations
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Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems
Fabian Altekrüger, P. Hagemann, G. Steidl
2023Trans. Mach. Learn. Res.13 citations Open access
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Transfer Operators from Optimal Transport Plans for Coherent Set Detection
P. Koltai, Johannes von Lindheim, S. Neumayer, G. Steidl
2020arXiv.org13 citations Open access
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Strain analysis by a total generalized variation regularized optical flow model
F. Balle, T. Beck, D. Eifler, J. Fitschen +2 more
2017Inverse Problems in Science and Engineering13 citations Open access
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PatchNR: Learning from Small Data by Patch Normalizing Flow Regularization
Fabian Altekrüger, Alexander Denker, P. Hagemann, J. Hertrich +2 more
2022arXiv.org12 citations Open access
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Multivariate Myriad Filters Based on Parameter Estimation of Student-t Distributions
Friederike Laus, G. Steidl
2018SIAM Journal of Imaging Sciences11 citations Open access
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Infimal Convolution Coupling of First and Second Order Differences on Manifold-Valued Images
Ronny Bergmann, J. Fitschen, Johannes Persch, G. Steidl
2017Scale Space and Variational Methods in Computer Vision10 citations
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On the rotational invariant L1-norm PCA
S. Neumayer, Max Nimmer, S. Setzer, G. Steidl
2019Linear Algebra and its Applications9 citations Open access
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Linkage between Piecewise Constant Mumford-Shah model and ROF model and its virtue in image segmentation
Xiao-Hao Cai, R. Chan, C. Schönlieb, G. Steidl +1 more
2018arXiv.org9 citations
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Recent advances in denoising of manifold-valued images
Ronny Bergmann, Friederike Laus, Johannes Persch, G. Steidl
2018Handbook of Numerical Analysis9 citations Open access
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Hue-preserving perceptual contrast enhancement
F. Pierre, Jean-François Aujol, Aurélie Bugeau, G. Steidl +1 more
2016International Conference on Information Photonics9 citations
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Spectral imaging based on 2D diffraction patterns and a regularization model.
Max Nimmer, G. Steidl, R. Riesenberg, A. Wuttig
2018Optics Express8 citations Open access
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On the Atomic Decomposition of Coorbit Spaces with Non-integrable Kernel
S. Dahlke, F. De Mari, E. De Vito, L. Sawatzki +3 more
2018Landscapes of Time-Frequency Analysis8 citations Open access
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STRUCTURE DETECTION WITH SECOND ORDER RIESZ TRANSFORMS
Dascha Dobrovolskij, Johannes Persch, K. Schladitz, G. Steidl
2019Image Analysis and Stereology7 citations Open access
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Dynamic optimal transport with mixed boundary condition for color image processing
J. Fitschen, Friederike Laus, G. Steidl
2015International Conference on Sampling Theory and Applications7 citations Open access
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Generalized Iterative Scaling for Regularized Optimal Transport with Affine Constraints: Application Examples
Johannes von Lindheim, G. Steidl
2023arXiv.org5 citations Open access
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