Convergence and smoothness analysis of subdivision rules in Riemannian and symmetric spaces. - Johannes Wallner 001; Esfandiar Nava Yazdani; Andreas Weinmann (Adv. Comput. Math., 2011)

The L1-Potts functional for robust jump-sparse reconstruction. - Andreas Weinmann; Martin Storath; Laurent Demaret (CoRR, 2012)

Subdivision schemes with general dilation in the geometric and nonlinear setting. - Andreas Weinmann (J. Approx. Theory, 2012)

Interpolatory Multiscale Representation for Functions between Manifolds. - Andreas Weinmann (SIAM J. Math. Anal., 2012)

Inpainting of Cyclic Data Using First and Second Order Differences. - Ronny Bergmann; Andreas Weinmann (EMMCVPR, 2014)

Unsupervised texture segmentation using monogenic curvelets and the Potts model. - Martin Storath; Andreas Weinmann; Michael Unser (ICIP, 2014)

Mumford-Shah and Potts Regularization for Manifold-Valued Data with Applications to DTI and Q-Ball Imaging. - Andreas Weinmann; Laurent Demaret; Martin Storath (CoRR, 2014)

Second Order Differences of Cyclic Data and Applications in Variational Denoising. - Ronny Bergmann; Friederike Laus; Gabriele Steidl; Andreas Weinmann (SIAM J. Imaging Sci., 2014)

Fast Partitioning of Vector-Valued Images. - Martin Storath; Andreas Weinmann (SIAM J. Imaging Sci., 2014)

Total Variation Regularization for Manifold-Valued Data. - Andreas Weinmann; Laurent Demaret; Martin Storath (SIAM J. Imaging Sci., 2014)

Jump-Sparse and Sparse Recovery Using Potts Functionals. - Martin Storath; Andreas Weinmann; Laurent Demaret (IEEE Trans. Signal Process., 2014)

Total variation regularization of shape signals. - Maximilian Baust; Laurent Demaret; Martin Storath; Nassir Navab; Andreas Weinmann (CVPR, 2015)

The L1-Potts Functional for Robust Jump-Sparse Reconstruction. - Andreas Weinmann; Martin Storath; Laurent Demaret (SIAM J. Numer. Anal., 2015)

A Second-Order TV-Type Approach for Inpainting and Denoising Higher Dimensional Combined Cyclic and Vector Space Data. - Ronny Bergmann; Andreas Weinmann (J. Math. Imaging Vis., 2016)

Mumford-Shah and Potts Regularization for Manifold-Valued Data. - Andreas Weinmann; Laurent Demaret; Martin Storath (J. Math. Imaging Vis., 2016)

A Second Order Nonsmooth Variational Model for Restoring Manifold-Valued Images. - Miroslav Bacák; Ronny Bergmann; Gabriele Steidl; Andreas Weinmann (SIAM J. Sci. Comput., 2016)

Exact Algorithms for L1-TV Regularization of Real-Valued or Circle-Valued Signals. - Martin Storath; Andreas Weinmann; Michael Unser (SIAM J. Sci. Comput., 2016)

Joint Segmentation and Shape Regularization With a Generalized Forward-Backward Algorithm. - Anca Stefanoiu; Andreas Weinmann; Martin Storath; Nassir Navab; Maximilian Baust (IEEE Trans. Image Process., 2016)

Combined Tensor Fitting and TV Regularization in Diffusion Tensor Imaging Based on a Riemannian Manifold Approach. - Maximilian Baust; Andreas Weinmann; Matthias Wieczorek; Tobias Lasser; Martin Storath; Nassir Navab (IEEE Trans. Medical Imaging, 2016)

Fast Segmentation From Blurred Data in 3D Fluorescence Microscopy. - Martin Storath; Dennis Rickert; Michael Unser; Andreas Weinmann (IEEE Trans. Image Process., 2017)

Edge Preserving and Noise Reducing Reconstruction for Magnetic Particle Imaging. - Martin Storath; Christina Brandt; Martin Hofmann 016; Tobias Knopp 001; Johannes Salamon; Alexander Weber 008; Andreas Weinmann (IEEE Trans. Medical Imaging, 2017)

Variational Regularization of Inverse Problems for Manifold-Valued Data. - Martin Storath; Andreas Weinmann (CoRR, 2018)

Fast Median Filtering for Phase or Orientation Data. - Martin Storath; Andreas Weinmann (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Total Generalized Variation for Manifold-Valued Data. - Kristian Bredies; Martin Holler; Martin Storath; Andreas Weinmann (SIAM J. Imaging Sci., 2018)

Fast Piecewise-Affine Motion Estimation Without Segmentation. - Denis Fortun; Martin Storath; Dennis Rickert; Andreas Weinmann; Michael Unser (IEEE Trans. Image Process., 2018)

Model-Based Learning of Local Image Features for Unsupervised Texture Segmentation. - Martin Kiechle; Martin Storath; Andreas Weinmann; Martin Kleinsteuber (IEEE Trans. Image Process., 2018)

Direct MRI Segmentation from k-Space Data by Iterative Potts Minimization. - Lukas Kiefer; Stefania Petra; Martin Storath; Andreas Weinmann (SSVM, 2019)

Non-smooth variational regularization for processing manifold-valued data. - Martin Holler; Andreas Weinmann (CoRR, 2019)

Smoothing for signals with discontinuities using higher order Mumford-Shah models. - Martin Storath; Lukas Kiefer; Andreas Weinmann (Numerische Mathematik, 2019)

Total Variation Regularization of Pose Signals With an Application to 3D Freehand Ultrasound. - Marco Esposito; Christoph Hennersperger; Rüdiger Göbl; Laurent Demaret; Martin Storath; Nassir Navab; Maximilian Baust; Andreas Weinmann (IEEE Trans. Medical Imaging, 2019)

Multi-Channel Potts-Based Reconstruction for Multi-Spectral Computed Tomography. - Lukas Kiefer; Stefania Petra; Martin Storath; Andreas Weinmann (CoRR, 2020)

PALMS Image Partitioning - A New Parallel Algorithm for the Piecewise Affine-Linear Mumford-Shah Model. - Lukas Kiefer; Martin Storath; Andreas Weinmann (Image Process. Line, 2020)

Wavelet Sparse Regularization for Manifold-Valued Data. - Martin Storath; Andreas Weinmann (Multiscale Model. Simul., 2020)

An Algorithm for Second Order Mumford-Shah Models Based on a Taylor Jet Formulation. - Lukas Kiefer; Martin Storath; Andreas Weinmann (SIAM J. Imaging Sci., 2020)

An Efficient Algorithm for the Piecewise Affine-Linear Mumford-Shah Model Based on a Taylor Jet Splitting. - Lukas Kiefer; Martin Storath; Andreas Weinmann (IEEE Trans. Image Process., 2020)

Clothoid fitting and geometric Hermite subdivision. - Ulrich Reif; Andreas Weinmann (Adv. Comput. Math., 2021)

Iterative Potts Minimization for the Recovery of Signals with Discontinuities from Indirect Measurements: The Multivariate Case. - Lukas Kiefer; Martin Storath; Andreas Weinmann (Found. Comput. Math., 2021)

Reconstruction Formulae for 3D Field-Free Line Magnetic Particle Imaging. - Vladyslav Gapyak; Thomas März; Andreas Weinmann (CoRR, 2023)

Degrees-of-freedom penalized piecewise regression. - Stefan Volz; Martin Storath; Andreas Weinmann (CoRR, 2023)

Automatic Individual Identification of Patterned Solitary Species Based on Unlabeled Video Data. - 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; et al. (J. WSCG, 2023)

YOLO-Feder Fusionnet: A Novel Deep Learning Architecture for Drone Detection. - Tamara R. Lenhard; Andreas Weinmann; Stefan Jäger 005; Tobias Koch 004 (ICIP, 2024)

Blessemflood21: Advancing Flood Analysis with a High-Resolution Georeferenced Dataset for Humanitarian Aid Support. - Vladyslav Polushko; Alexander Jenal; Jens Bongartz; Immanuel Weber; Damjan Hatic; Ronald Rösch; Thomas März; Markus Rauhut; Andreas Weinmann (IGARSS, 2024)

Real Time State Detection of a Foosball Game Using CNN-Based Computer Vision. - Ronny Horst; David Hagens; Elke Hergenröther; Andreas Weinmann (SAI (1), 2024)

BlessemFlood21: A High-Resolution Georeferenced Dataset for Advanced Analysis of River Flood Scenarios. - Vladyslav Polushko; Alexander Jenal; Jens Bongartz; Immanuel Weber; Damjan Hatic; Ronald Rösch; Thomas März; Markus Rauhut; Andreas Weinmann (IEEE Access, 2024)

An 𝓁1-Plug-and-Play Approach for Magnetic Particle Imaging Using a Zero Shot Denoiser with Validation on the 3D Open MPI Dataset. - Vladyslav Gapyak; Corinna Rentschler; Thomas März; Andreas Weinmann (CoRR, 2024)

Low-Dose CT Image Reconstruction by Fine-Tuning a UNet Pretrained for Gaussian Denoising for the Downstream Task of Image Enhancement. - Tim Selig; Thomas März; Martin Storath; Andreas Weinmann (CoRR, 2024)

Automated Bioacoustic Monitoring for South African Bird Species on Unlabeled Data. - Michael Doell; Dominik Kuehn; Vanessa Suessle; Matthew J. Burnett; Colleen T. Downs; Andreas Weinmann; Elke Hergenröther (CoRR, 2024)

Variational model-based reconstruction techniques for multi-patch data in Magnetic Particle Imaging. - Vladyslav Gapyak; Thomas März; Andreas Weinmann (J. Comput. Appl. Math., 2024)

Smoothing Splines for Discontinuous Signals. - Martin Storath; Andreas Weinmann (J. Comput. Graph. Stat., 2024)

CNN-based Game State Detection for a Foosball Table. - David Hagens; Jan Knaup; Elke Hergenröther; Andreas Weinmann (J. WSCG, 2024)

Two-stage Approach for Low-dose and Sparse-angle CT Reconstruction using Backprojection. - Tim Selig; Patrick Bauer; Jürgen Frikel; Thomas März; Martin Storath; Andreas Weinmann (Bildverarbeitung für die Medizin, 2025)

Fine-Grained Visual Classification of Antelope Species. - Philipp Gruner; Maya Beukes; Vanessa Suessle; Matthias Biber; Martin Jansen; Elke Hergenröther; Andreas Weinmann (IbPRIA, 2025)

SynDroneVision: A Synthetic Dataset for Image-Based Drone Detection. - Tamara R. Lenhard; Andreas Weinmann; Kai Franke; Tobias Koch 004 (WACV, 2025)

CNN-Based Flank Predictor for Quadruped Animal Species. - Vanessa Suessle; Marco Heurich; Colleen T. Downs; Andreas Weinmann; Elke Hergenröther (IET Comput. Vis., 2025)

Remote Sensing Imagery for Flood Detection: Exploration of Augmentation Strategies. - Vladyslav Polushko; Damjan Hatic; Ronald Rösch; Thomas März; Markus Rauhut; Andreas Weinmann (CoRR, 2025)

Fast Trajectory-Independent Model-Based Reconstruction Algorithm for Multi-Dimensional Magnetic Particle Imaging. - Vladyslav Gapyak; Thomas März; Andreas Weinmann (CoRR, 2025)