Martin Storath

49 papers A* 2B 2Journal 41Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A computer vision system for recognition and defect detection for reusable containers. Mach. Vis. Appl. Vincent Wahyudi, Cedric C. Ziegler, Matthias Frieß, Stefan Schramm, Constantin Lang, Lars Eberhardt, Fabian Freund, Alexander Dobhan, Martin Storath
2025	—	`conf`	Digitalization in Small-Load-Carrier Management. ICEIS (1) Alexander Dobhan, Lars Eberhardt, Markus Haseneder, Heiko Raab, Steffen Rabenstein, Axel Treutlein, Vincent Wahyudi, Martin Storath
2025	J	`jnl`	Fast and Exact Least Absolute Deviations Line Fitting via Piecewise Affine Lower-Bounding. CoRR Stefan Volz, Martin Storath, Andreas Weinmann
2025	—	`conf`	Towards an Approach on Location Data Analysis for Reusable Small-load Carriers. HICSS Jonas Müller, Lars Eberhardt, Vincent Wahyudi, Martin Storath, Alexander Dobhan
2025	—	`conf`	Two-stage Approach for Low-dose and Sparse-angle CT Reconstruction using Backprojection. Bildverarbeitung für die Medizin Tim Selig, Patrick Bauer, Jürgen Frikel, Thomas März, Martin Storath, Andreas Weinmann
2024	J	`jnl`	Low-Dose CT Image Reconstruction by Fine-Tuning a UNet Pretrained for Gaussian Denoising for the Downstream Task of Image Enhancement. CoRR Tim Selig, Thomas März, Martin Storath, Andreas Weinmann
2024	J	`jnl`	Smoothing Splines for Discontinuous Signals. J. Comput. Graph. Stat. Martin Storath, Andreas Weinmann
2023	J	`jnl`	Degrees-of-freedom penalized piecewise regression. CoRR Stefan Volz, Martin Storath, Andreas Weinmann
2022	J	`jnl`	Smoothing splines for discontinuous signals. CoRR Martin Storath, Andreas Weinmann
2021	J	`jnl`	Iterative Potts Minimization for the Recovery of Signals with Discontinuities from Indirect Measurements: The Multivariate Case. Found. Comput. Math. Lukas Kiefer, Martin Storath, Andreas Weinmann
2020	J	`jnl`	An Algorithm for Second Order Mumford-Shah Models Based on a Taylor Jet Formulation. SIAM J. Imaging Sci. Lukas Kiefer, Martin Storath, Andreas Weinmann
2020	J	`jnl`	An Efficient Algorithm for the Piecewise Affine-Linear Mumford-Shah Model Based on a Taylor Jet Splitting. IEEE Trans. Image Process. Lukas Kiefer, Martin Storath, Andreas Weinmann
2020	J	`jnl`	Multi-Channel Potts-Based Reconstruction for Multi-Spectral Computed Tomography. CoRR Lukas Kiefer, Stefania Petra, Martin Storath, Andreas Weinmann
2020	J	`jnl`	PALMS Image Partitioning - A New Parallel Algorithm for the Piecewise Affine-Linear Mumford-Shah Model. Image Process. Line Lukas Kiefer, Martin Storath, Andreas Weinmann
2020	J	`jnl`	Wavelet Sparse Regularization for Manifold-Valued Data. Multiscale Model. Simul. Martin Storath, Andreas Weinmann
2019	—	`conf`	Direct MRI Segmentation from k-Space Data by Iterative Potts Minimization. SSVM Lukas Kiefer, Stefania Petra, Martin Storath, Andreas Weinmann
2019	J	`jnl`	Smoothing for signals with discontinuities using higher order Mumford-Shah models. Numerische Mathematik Martin Storath, Lukas Kiefer, Andreas Weinmann
2019	J	`jnl`	Total Variation Regularization of Pose Signals With an Application to 3D Freehand Ultrasound. IEEE Trans. Medical Imaging Marco Esposito, Christoph Hennersperger, Rüdiger Göbl, Laurent Demaret, Martin Storath, Nassir Navab, Maximilian Baust, Andreas Weinmann
2018	J	`jnl`	Fast Median Filtering for Phase or Orientation Data. IEEE Trans. Pattern Anal. Mach. Intell. Martin Storath, Andreas Weinmann
2018	J	`jnl`	Fast Piecewise-Affine Motion Estimation Without Segmentation. CoRR Denis Fortun, Martin Storath, Dennis Rickert, Andreas Weinmann, Michael Unser
2018	J	`jnl`	Fast Piecewise-Affine Motion Estimation Without Segmentation. IEEE Trans. Image Process. Denis Fortun, Martin Storath, Dennis Rickert, Andreas Weinmann, Michael Unser
2018	J	`jnl`	Iterative Potts minimization for the recovery of signals with discontinuities from indirect measurements - the multivariate case. CoRR Lukas Kiefer, Martin Storath, Andreas Weinmann
2018	A*	`conf`	Learning Steerable Filters for Rotation Equivariant CNNs. CVPR Maurice Weiler, Fred A. Hamprecht, Martin Storath
2018	J	`jnl`	Model-Based Learning of Local Image Features for Unsupervised Texture Segmentation. IEEE Trans. Image Process. Martin Kiechle, Martin Storath, Andreas Weinmann, Martin Kleinsteuber
2018	J	`jnl`	Total Generalized Variation for Manifold-Valued Data. SIAM J. Imaging Sci. Kristian Bredies, Martin Holler, Martin Storath, Andreas Weinmann
2018	J	`jnl`	Variational Regularization of Inverse Problems for Manifold-Valued Data. CoRR Martin Storath, Andreas Weinmann
2018	J	`jnl`	Wavelet Sparse Regularization for Manifold-Valued Data. CoRR Martin Storath, Andreas Weinmann
2017	J	`jnl`	Edge Preserving and Noise Reducing Reconstruction for Magnetic Particle Imaging. IEEE Trans. Medical Imaging Martin Storath, Christina Brandt, Martin Hofmann, Tobias Knopp, Johannes Salamon, Alexander Weber, Andreas Weinmann
2017	J	`jnl`	Fast Segmentation From Blurred Data in 3D Fluorescence Microscopy. IEEE Trans. Image Process. Martin Storath, Dennis Rickert, Michael Unser, Andreas Weinmann
2017	J	`jnl`	Learning Steerable Filters for Rotation Equivariant CNNs. CoRR Maurice Weiler, Fred A. Hamprecht, Martin Storath
2017	J	`jnl`	Model-based learning of local image features for unsupervised texture segmentation. CoRR Martin Kiechle, Martin Storath, Andreas Weinmann, Martin Kleinsteuber
2016	J	`jnl`	Combined Tensor Fitting and TV Regularization in Diffusion Tensor Imaging Based on a Riemannian Manifold Approach. IEEE Trans. Medical Imaging Maximilian Baust, Andreas Weinmann, Matthias Wieczorek, Tobias Lasser, Martin Storath, Nassir Navab
2016	J	`jnl`	Exact Algorithms for L SIAM J. Sci. Comput. Martin Storath, Andreas Weinmann, Michael Unser
2016	J	`jnl`	Joint Segmentation and Shape Regularization With a Generalized Forward-Backward Algorithm. IEEE Trans. Image Process. Anca Stefanoiu, Andreas Weinmann, Martin Storath, Nassir Navab, Maximilian Baust
2016	J	`jnl`	Mumford-Shah and Potts Regularization for Manifold-Valued Data. J. Math. Imaging Vis. Andreas Weinmann, Laurent Demaret, Martin Storath
2015	J	`jnl`	The L SIAM J. Numer. Anal. Andreas Weinmann, Martin Storath, Laurent Demaret
2015	A*	`conf`	Total variation regularization of shape signals. CVPR Maximilian Baust, Laurent Demaret, Martin Storath, Nassir Navab, Andreas Weinmann
2014	J	`jnl`	Fast Partitioning of Vector-Valued Images. SIAM J. Imaging Sci. Martin Storath, Andreas Weinmann
2014	J	`jnl`	Jump-Sparse and Sparse Recovery Using Potts Functionals. IEEE Trans. Signal Process. Martin Storath, Andreas Weinmann, Laurent Demaret
2014	J	`jnl`	Mumford-Shah and Potts Regularization for Manifold-Valued Data with Applications to DTI and Q-Ball Imaging. CoRR Andreas Weinmann, Laurent Demaret, Martin Storath
2014	J	`jnl`	Total Variation Regularization for Manifold-Valued Data. SIAM J. Imaging Sci. Andreas Weinmann, Laurent Demaret, Martin Storath
2014	B	`conf`	Unsupervised texture segmentation using monogenic curvelets and the Potts model. ICIP Martin Storath, Andreas Weinmann, Michael Unser
2013	J	`jnl`	Jump-sparse and sparse recovery using Potts functionals CoRR Martin Storath, Andreas Weinmann, Laurent Demaret
2013	J	`jnl`	Total variation regularization for manifold-valued data. CoRR Andreas Weinmann, Laurent Demaret, Martin Storath
2012	J	`jnl`	Signal Analysis based on Complex Wavelet Signs CoRR Laurent Demaret, Peter Massopust, Martin Storath
2012	J	`jnl`	The L1-Potts functional for robust jump-sparse reconstruction. CoRR Andreas Weinmann, Martin Storath, Laurent Demaret
2011	J	`jnl`	Directional Multiscale Amplitude and Phase Decomposition by the Monogenic Curvelet Transform. SIAM J. Imaging Sci. Martin Storath
2010	J	`jnl`	Steerable Wavelet Frames Based on the Riesz Transform. IEEE Trans. Image Process. Stefan Held, Martin Storath, Peter Massopust, Brigitte Forster
2010	B	`conf`	The monogenic curvelet transform. ICIP Martin Storath