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Martin Storath
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2020 – today
- 2025
- [j25]Vincent Wahyudi
, Cedric C. Ziegler, Matthias Frieß, Stefan Schramm, Constantin Lang, Lars Eberhardt
, Fabian Freund, Alexander Dobhan, Martin Storath
:
A computer vision system for recognition and defect detection for reusable containers. Mach. Vis. Appl. 36(2): 39 (2025) - [c6]Tim Selig, Patrick Bauer, Jürgen Frikel, Thomas März, Martin Storath, Andreas Weinmann:
Two-stage Approach for Low-dose and Sparse-angle CT Reconstruction using Backprojection. Bildverarbeitung für die Medizin 2025: 286-291 - 2024
- [j24]Martin Storath
, Andreas Weinmann
:
Smoothing Splines for Discontinuous Signals. J. Comput. Graph. Stat. 33(2): 651-664 (2024) - [i15]Tim Selig, Thomas März, Martin Storath, Andreas Weinmann:
Low-Dose CT Image Reconstruction by Fine-Tuning a UNet Pretrained for Gaussian Denoising for the Downstream Task of Image Enhancement. CoRR abs/2403.03551 (2024) - 2023
- [i14]Stefan Volz, Martin Storath, Andreas Weinmann:
Degrees-of-freedom penalized piecewise regression. CoRR abs/2312.16512 (2023) - 2022
- [i13]Martin Storath
, Andreas Weinmann:
Smoothing splines for discontinuous signals. CoRR abs/2211.12785 (2022) - 2021
- [j23]Lukas Kiefer, Martin Storath
, Andreas Weinmann:
Iterative Potts Minimization for the Recovery of Signals with Discontinuities from Indirect Measurements: The Multivariate Case. Found. Comput. Math. 21(3): 649-694 (2021) - 2020
- [j22]Lukas Kiefer, Martin Storath
, Andreas Weinmann:
PALMS Image Partitioning - A New Parallel Algorithm for the Piecewise Affine-Linear Mumford-Shah Model. Image Process. Line 10: 124-149 (2020) - [j21]Martin Storath
, Andreas Weinmann:
Wavelet Sparse Regularization for Manifold-Valued Data. Multiscale Model. Simul. 18(2): 674-706 (2020) - [j20]Lukas Kiefer, Martin Storath
, Andreas Weinmann:
An Algorithm for Second Order Mumford-Shah Models Based on a Taylor Jet Formulation. SIAM J. Imaging Sci. 13(4): 2307-2360 (2020) - [j19]Lukas Kiefer
, Martin Storath
, Andreas Weinmann:
An Efficient Algorithm for the Piecewise Affine-Linear Mumford-Shah Model Based on a Taylor Jet Splitting. IEEE Trans. Image Process. 29: 921-933 (2020) - [i12]Lukas Kiefer, Stefania Petra, Martin Storath, Andreas Weinmann:
Multi-Channel Potts-Based Reconstruction for Multi-Spectral Computed Tomography. CoRR abs/2009.05814 (2020)
2010 – 2019
- 2019
- [j18]Martin Storath
, Lukas Kiefer, Andreas Weinmann:
Smoothing for signals with discontinuities using higher order Mumford-Shah models. Numerische Mathematik 143(2): 423-460 (2019) - [j17]Marco Esposito
, Christoph Hennersperger
, Rüdiger Göbl
, Laurent Demaret, Martin Storath
, Nassir Navab, Maximilian Baust
, Andreas Weinmann
:
Total Variation Regularization of Pose Signals With an Application to 3D Freehand Ultrasound. IEEE Trans. Medical Imaging 38(10): 2245-2258 (2019) - [c5]Lukas Kiefer, Stefania Petra, Martin Storath
, Andreas Weinmann:
Direct MRI Segmentation from k-Space Data by Iterative Potts Minimization. SSVM 2019: 406-418 - 2018
- [j16]Martin Storath
, Andreas Weinmann:
Fast Median Filtering for Phase or Orientation Data. IEEE Trans. Pattern Anal. Mach. Intell. 40(3): 639-652 (2018) - [j15]Kristian Bredies
, Martin Holler
, Martin Storath
, Andreas Weinmann:
Total Generalized Variation for Manifold-Valued Data. SIAM J. Imaging Sci. 11(3): 1785-1848 (2018) - [j14]Martin Kiechle
, Martin Storath
, Andreas Weinmann, Martin Kleinsteuber:
Model-Based Learning of Local Image Features for Unsupervised Texture Segmentation. IEEE Trans. Image Process. 27(4): 1994-2007 (2018) - [j13]Denis Fortun
, Martin Storath
, Dennis Rickert, Andreas Weinmann, Michael Unser
:
Fast Piecewise-Affine Motion Estimation Without Segmentation. IEEE Trans. Image Process. 27(11): 5612-5624 (2018) - [c4]Maurice Weiler, Fred A. Hamprecht, Martin Storath
:
Learning Steerable Filters for Rotation Equivariant CNNs. CVPR 2018: 849-858 - [i11]Denis Fortun, Martin Storath, Dennis Rickert, Andreas Weinmann, Michael Unser:
Fast Piecewise-Affine Motion Estimation Without Segmentation. CoRR abs/1802.01872 (2018) - [i10]Martin Storath, Andreas Weinmann:
Variational Regularization of Inverse Problems for Manifold-Valued Data. CoRR abs/1804.10432 (2018) - [i9]Martin Storath, Andreas Weinmann:
Wavelet Sparse Regularization for Manifold-Valued Data. CoRR abs/1808.00505 (2018) - [i8]Lukas Kiefer, Martin Storath, Andreas Weinmann:
Iterative Potts minimization for the recovery of signals with discontinuities from indirect measurements - the multivariate case. CoRR abs/1812.00862 (2018) - 2017
- [j12]Martin Storath
, Dennis Rickert, Michael Unser
, Andreas Weinmann:
Fast Segmentation From Blurred Data in 3D Fluorescence Microscopy. IEEE Trans. Image Process. 26(10): 4856-4870 (2017) - [j11]Martin Storath
, Christina Brandt
, Martin Hofmann
, Tobias Knopp
, Johannes Salamon, Alexander Weber, Andreas Weinmann:
Edge Preserving and Noise Reducing Reconstruction for Magnetic Particle Imaging. IEEE Trans. Medical Imaging 36(1): 74-85 (2017) - [i7]Martin Kiechle, Martin Storath, Andreas Weinmann, Martin Kleinsteuber:
Model-based learning of local image features for unsupervised texture segmentation. CoRR abs/1708.00180 (2017) - [i6]Maurice Weiler, Fred A. Hamprecht, Martin Storath:
Learning Steerable Filters for Rotation Equivariant CNNs. CoRR abs/1711.07289 (2017) - 2016
- [j10]Andreas Weinmann, Laurent Demaret, Martin Storath
:
Mumford-Shah and Potts Regularization for Manifold-Valued Data. J. Math. Imaging Vis. 55(3): 428-445 (2016) - [j9]Martin Storath
, Andreas Weinmann, Michael Unser
:
Exact Algorithms for L1-TV Regularization of Real-Valued or Circle-Valued Signals. SIAM J. Sci. Comput. 38(1) (2016) - [j8]Anca Stefanoiu, Andreas Weinmann, Martin Storath
, Nassir Navab, Maximilian Baust
:
Joint Segmentation and Shape Regularization With a Generalized Forward-Backward Algorithm. IEEE Trans. Image Process. 25(7): 3384-3394 (2016) - [j7]Maximilian Baust, Andreas Weinmann
, Matthias Wieczorek, Tobias Lasser
, Martin Storath
, Nassir Navab:
Combined Tensor Fitting and TV Regularization in Diffusion Tensor Imaging Based on a Riemannian Manifold Approach. IEEE Trans. Medical Imaging 35(8): 1972-1989 (2016) - 2015
- [j6]Andreas Weinmann, Martin Storath
, Laurent Demaret:
The L1-Potts Functional for Robust Jump-Sparse Reconstruction. SIAM J. Numer. Anal. 53(1): 644-673 (2015) - [c3]Maximilian Baust, Laurent Demaret, Martin Storath
, Nassir Navab, Andreas Weinmann:
Total variation regularization of shape signals. CVPR 2015: 2075-2083 - 2014
- [j5]Martin Storath
, Andreas Weinmann:
Fast Partitioning of Vector-Valued Images. SIAM J. Imaging Sci. 7(3): 1826-1852 (2014) - [j4]Andreas Weinmann, Laurent Demaret, Martin Storath
:
Total Variation Regularization for Manifold-Valued Data. SIAM J. Imaging Sci. 7(4): 2226-2257 (2014) - [j3]Martin Storath
, Andreas Weinmann, Laurent Demaret:
Jump-Sparse and Sparse Recovery Using Potts Functionals. IEEE Trans. Signal Process. 62(14): 3654-3666 (2014) - [c2]Martin Storath
, Andreas Weinmann, Michael Unser
:
Unsupervised texture segmentation using monogenic curvelets and the Potts model. ICIP 2014: 4348-4352 - [i5]Andreas Weinmann, Laurent Demaret, Martin Storath:
Mumford-Shah and Potts Regularization for Manifold-Valued Data with Applications to DTI and Q-Ball Imaging. CoRR abs/1410.1699 (2014) - 2013
- [i4]Martin Storath, Andreas Weinmann, Laurent Demaret:
Jump-sparse and sparse recovery using Potts functionals. CoRR abs/1304.4373 (2013) - [i3]Andreas Weinmann, Laurent Demaret, Martin Storath:
Total variation regularization for manifold-valued data. CoRR abs/1312.7710 (2013) - 2012
- [i2]Andreas Weinmann, Martin Storath, Laurent Demaret:
The L1-Potts functional for robust jump-sparse reconstruction. CoRR abs/1207.4642 (2012) - [i1]Laurent Demaret, Peter Massopust, Martin Storath:
Signal Analysis based on Complex Wavelet Signs. CoRR abs/1208.4578 (2012) - 2011
- [j2]Martin Storath
:
Directional Multiscale Amplitude and Phase Decomposition by the Monogenic Curvelet Transform. SIAM J. Imaging Sci. 4(1): 57-78 (2011) - 2010
- [j1]Stefan Held, Martin Storath
, Peter Massopust, Brigitte Forster
:
Steerable Wavelet Frames Based on the Riesz Transform. IEEE Trans. Image Process. 19(3): 653-667 (2010) - [c1]Martin Storath
:
The monogenic curvelet transform. ICIP 2010: 353-356
Coauthor Index

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last updated on 2025-03-08 01:45 CET by the dblp team
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