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ORCIDAndreas Weinmann
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2020 – today
- 2024
[j31]Vladyslav Gapyak
, Thomas März, Andreas Weinmann:
Variational model-based reconstruction techniques for multi-patch data in Magnetic Particle Imaging. J. Comput. Appl. Math. 451: 116046 (2024)- [j30]Martin Storath, Andreas Weinmann:
Smoothing Splines for Discontinuous Signals. J. Comput. Graph. Stat. 33(2): 651-664 (2024) - [c5]Vladyslav Polushko, Alexander Jenal, Jens Bongartz, Immanuel Weber, Damjan Hatic, Ronald Rösch, Thomas März, Markus Rauhut, Andreas Weinmann:
Blessemflood21: Advancing Flood Analysis with a High-Resolution Georeferenced Dataset for Humanitarian Aid Support. IGARSS 2024: 368-373 - [i24]Vladyslav Gapyak, Corinna Rentschler, Thomas März, Andreas Weinmann:
An 𝓁1-Plug-and-Play Approach for Magnetic Particle Imaging Using a Zero Shot Denoiser with Validation on the 3D Open MPI Dataset. CoRR abs/2401.00275 (2024) - [i23]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) - [i22]David Hagens, Jan Knaup, Elke Hergenröther, Andreas Weinmann:
CNN-based Game State Detection for a Foosball Table. CoRR abs/2404.05357 (2024) - [i21]Tamara R. Lenhard, Andreas Weinmann, Stefan Jäger, Tobias Koch:
YOLO-FEDER FusionNet: A Novel Deep Learning Architecture for Drone Detection. CoRR abs/2406.11641 (2024) - [i20]Michael Doell, Dominik Kuehn, Vanessa Suessle, Matthew J. Burnett, Colleen T. Downs, Andreas Weinmann, Elke Hergenröther:
Automated Bioacoustic Monitoring for South African Bird Species on Unlabeled Data. CoRR abs/2406.13579 (2024) - [i19]Vanessa Suessle, Marco Heurich, Colleen T. Downs, Andreas Weinmann, Elke Hergenröther:
CNN Based Flank Predictor for Quadruped Animal Species. CoRR abs/2406.13588 (2024) - [i18]Vladyslav Polushko, Alexander Jenal, Jens Bongartz, Immanuel Weber, Damjan Hatic, Ronald Rösch, Thomas März, Markus Rauhut, Andreas Weinmann:
BlessemFlood21: Advancing Flood Analysis with a High-Resolution Georeferenced Dataset for Humanitarian Aid Support. CoRR abs/2407.05007 (2024) - 2023
- [j29]Vanessa Suessle, Mimi Arandjelovic, Ammie K. Kalan, Anthony Agbor, Christophe Boesch, Gregory Brazzola, Tobias Deschner, Paula Dieguez, Anne-Céline Granjon, Hjalmar Kuehl, Anja Landsmann, Juan Lapuente, Nuria Maldonado, Amelia Meier, Zuzana Rockaiova, Erin G. Wessling, Roman M. Wittig, Colleen T. Downs, Andreas Weinmann, Elke Hergenröther:
Automatic Individual Identification of Patterned Solitary Species Based on Unlabeled Video Data. J. WSCG 31(1-2): 1-10 (2023) - [i17]Vanessa Suessle, Mimi Arandjelovic, Ammie K. Kalan, Anthony Agbor, Christophe Boesch, Gregory Brazzola, Tobias Deschner, Paula Dieguez, Anne-Céline Granjon, Hjalmar Kuehl, Anja Landsmann, Juan Lapuente, Nuria Maldonado, Amelia Meier, Zuzana Rockaiova, Erin G. Wessling, Roman M. Wittig, Colleen T. Downs, Andreas Weinmann, Elke Hergenröther:
Automatic Individual Identification of Patterned Solitary Species Based on Unlabeled Video Data. CoRR abs/2304.09657 (2023) - [i16]Vladyslav Gapyak, Thomas März, Andreas Weinmann:
Variational Model-Based Reconstruction Techniques for Multi-Patch Data in Magnetic Particle Imaging. CoRR abs/2306.14454 (2023) - [i15]Vladyslav Gapyak, Thomas März, Andreas Weinmann:
Reconstruction Formulae for 3D Field-Free Line Magnetic Particle Imaging. CoRR abs/2309.06254 (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
- [j28]Ulrich Reif, Andreas Weinmann:
Clothoid fitting and geometric Hermite subdivision. Adv. Comput. Math. 47(4): 50 (2021) - [j27]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
- [j26]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) - [j25]Martin Storath, Andreas Weinmann:
Wavelet Sparse Regularization for Manifold-Valued Data. Multiscale Model. Simul. 18(2): 674-706 (2020) - [j24]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) - [j23]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]Ulrich Reif, Andreas Weinmann:
Clothoid Fitting and Geometric Hermite Subdivision. CoRR abs/2004.07495 (2020) - [i11]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
- [j22]Martin Storath, Lukas Kiefer, Andreas Weinmann:
Smoothing for signals with discontinuities using higher order Mumford-Shah models. Numerische Mathematik 143(2): 423-460 (2019) - [j21]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) - [c4]Lukas Kiefer, Stefania Petra, Martin Storath, Andreas Weinmann:
Direct MRI Segmentation from k-Space Data by Iterative Potts Minimization. SSVM 2019: 406-418 - [i10]Martin Holler, Andreas Weinmann:
Non-smooth variational regularization for processing manifold-valued data. CoRR abs/1909.08921 (2019) - 2018
- [j20]Martin Storath, Andreas Weinmann:
Fast Median Filtering for Phase or Orientation Data. IEEE Trans. Pattern Anal. Mach. Intell. 40(3): 639-652 (2018) - [j19]Kristian Bredies, Martin Holler, Martin Storath, Andreas Weinmann:
Total Generalized Variation for Manifold-Valued Data. SIAM J. Imaging Sci. 11(3): 1785-1848 (2018) - [j18]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) - [j17]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) - [i9]Denis Fortun, Martin Storath, Dennis Rickert, Andreas Weinmann, Michael Unser:
Fast Piecewise-Affine Motion Estimation Without Segmentation. CoRR abs/1802.01872 (2018) - [i8]Martin Storath, Andreas Weinmann:
Variational Regularization of Inverse Problems for Manifold-Valued Data. CoRR abs/1804.10432 (2018) - [i7]Martin Storath, Andreas Weinmann:
Wavelet Sparse Regularization for Manifold-Valued Data. CoRR abs/1808.00505 (2018) - [i6]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
- [j16]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) - [j15]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) - [i5]Martin Kiechle, Martin Storath, Andreas Weinmann, Martin Kleinsteuber:
Model-based learning of local image features for unsupervised texture segmentation. CoRR abs/1708.00180 (2017) - 2016
- [j14]Ronny Bergmann, Andreas Weinmann:
A Second-Order TV-Type Approach for Inpainting and Denoising Higher Dimensional Combined Cyclic and Vector Space Data. J. Math. Imaging Vis. 55(3): 401-427 (2016) - [j13]Andreas Weinmann, Laurent Demaret, Martin Storath:
Mumford-Shah and Potts Regularization for Manifold-Valued Data. J. Math. Imaging Vis. 55(3): 428-445 (2016) - [j12]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) - [j11]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) - [j10]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) - [j9]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
- [j8]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
- [j7]Martin Storath, Andreas Weinmann:
Fast Partitioning of Vector-Valued Images. SIAM J. Imaging Sci. 7(3): 1826-1852 (2014) - [j6]Andreas Weinmann, Laurent Demaret, Martin Storath:
Total Variation Regularization for Manifold-Valued Data. SIAM J. Imaging Sci. 7(4): 2226-2257 (2014) - [j5]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) - [j4]Martin Storath, Andreas Weinmann, Laurent Demaret:
Jump-Sparse and Sparse Recovery Using Potts Functionals. IEEE Trans. Signal Process. 62(14): 3654-3666 (2014) - [c2]Ronny Bergmann, Andreas Weinmann:
Inpainting of Cyclic Data Using First and Second Order Differences. EMMCVPR 2014: 155-168 - [c1]Martin Storath, Andreas Weinmann, Michael Unser:
Unsupervised texture segmentation using monogenic curvelets and the Potts model. ICIP 2014: 4348-4352 - [i4]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
- [i3]Martin Storath, Andreas Weinmann, Laurent Demaret:
Jump-sparse and sparse recovery using Potts functionals. CoRR abs/1304.4373 (2013) - [i2]Andreas Weinmann, Laurent Demaret, Martin Storath:
Total variation regularization for manifold-valued data. CoRR abs/1312.7710 (2013) - 2012
- [j3]Andreas Weinmann:
Subdivision schemes with general dilation in the geometric and nonlinear setting. J. Approx. Theory 164(1): 105-137 (2012) - [j2]Andreas Weinmann:
Interpolatory Multiscale Representation for Functions between Manifolds. SIAM J. Math. Anal. 44(1): 162-191 (2012) - [i1]Andreas Weinmann, Martin Storath, Laurent Demaret:
The L1-Potts functional for robust jump-sparse reconstruction. CoRR abs/1207.4642 (2012) - 2011
- [j1]Johannes Wallner, Esfandiar Nava Yazdani, Andreas Weinmann:
Convergence and smoothness analysis of subdivision rules in Riemannian and symmetric spaces. Adv. Comput. Math. 34(2): 201-218 (2011)
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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