Andreas Weinmann

80 papers A* 1A 1B 2C 1Misc 1Journal 70Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Debye Relaxation in Model-Based Multi-Dimensional Magnetic Particle Imaging. CoRR Vladyslav Gapyak, Thomas März, Andreas Weinmann
2026	J	`jnl`	Detector-Augmented SAMURAI for Long-Duration Drone Tracking. CoRR Tamara R. Lenhard, Andreas Weinmann, Hichem Snoussi, Tobias Koch
2026	J	`jnl`	Generalization of Self-Supervised Vision Transformers for Protein Localization Across Microscopy Domains. CoRR Ben Isselmann, Dilara Göksu, Andreas Weinmann
2026	J	`jnl`	Hybrid Quantum-Classical AI for Industrial Defect Classification in Welding Images. CoRR Akshaya Srinivasan, Xiaoyin Cheng, Jianming Yi, Alexander Geng, Desislava Ivanova, Andreas Weinmann, Ali Moghiseh
2026	J	`jnl`	Vision-Language Model for Accurate Crater Detection. CoRR Patrick Bauer, Marius Schwinning, Florian Renk, Andreas Weinmann, Hichem Snoussi
2025	J	`jnl`	CNN-Based Flank Predictor for Quadruped Animal Species. IET Comput. Vis. Vanessa Suessle, Marco Heurich, Colleen T. Downs, Andreas Weinmann, Elke Hergenröther
2025	J	`jnl`	Fast Trajectory-Independent Model-Based Reconstruction Algorithm for Multi-Dimensional Magnetic Particle Imaging. CoRR Vladyslav Gapyak, Thomas März, Andreas Weinmann
2025	J	`jnl`	Fast and Exact Least Absolute Deviations Line Fitting via Piecewise Affine Lower-Bounding. CoRR Stefan Volz, Martin Storath, Andreas Weinmann
2025	Misc	`conf`	Fine-Grained Visual Classification of Antelope Species. IbPRIA Philipp Gruner, Maya Beukes, Vanessa Suessle, Matthias Biber, Martin Jansen, Elke Hergenröther, Andreas Weinmann
2025	J	`jnl`	Higher Order Regularization using Harmonic Eigenfunctions for Model-Based Reconstruction in Magnetic Particle Imaging. CoRR Thomas März, Vladyslav Gapyak, Andreas Weinmann
2025	J	`jnl`	Performance Optimization of YOLO-FEDER FusionNet for Robust Drone Detection in Visually Complex Environments. CoRR Tamara R. Lenhard, Andreas Weinmann, Tobias Koch
2025	J	`jnl`	Reconstruction Formulae for 3D Field-Free Line Magnetic Particle Imaging. SIAM J. Appl. Math. Vladyslav Gapyak, Thomas März, Andreas Weinmann
2025	J	`jnl`	Remote Sensing Imagery for Flood Detection: Exploration of Augmentation Strategies. CoRR Vladyslav Polushko, Damjan Hatic, Ronald Rösch, Thomas März, Markus Rauhut, Andreas Weinmann
2025	A	`conf`	SynDroneVision: A Synthetic Dataset for Image-Based Drone Detection. WACV Tamara R. Lenhard, Andreas Weinmann, Kai Franke, Tobias Koch
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`	An 𝓁 CoRR Vladyslav Gapyak, Corinna Rentschler, Thomas März, Andreas Weinmann
2024	J	`jnl`	Automated Bioacoustic Monitoring for South African Bird Species on Unlabeled Data. CoRR Michael Doell, Dominik Kuehn, Vanessa Suessle, Matthew J. Burnett, Colleen T. Downs, Andreas Weinmann, Elke Hergenröther
2024	J	`jnl`	BlessemFlood21: A High-Resolution Georeferenced Dataset for Advanced Analysis of River Flood Scenarios. IEEE Access Vladyslav Polushko, Alexander Jenal, Jens Bongartz, Immanuel Weber, Damjan Hatic, Ronald Rösch, Thomas März, Markus Rauhut, Andreas Weinmann
2024	J	`jnl`	BlessemFlood21: Advancing Flood Analysis with a High-Resolution Georeferenced Dataset for Humanitarian Aid Support. CoRR Vladyslav Polushko, Alexander Jenal, Jens Bongartz, Immanuel Weber, Damjan Hatic, Ronald Rösch, Thomas März, Markus Rauhut, Andreas Weinmann
2024	C	`conf`	Blessemflood21: Advancing Flood Analysis with a High-Resolution Georeferenced Dataset for Humanitarian Aid Support. IGARSS Vladyslav Polushko, Alexander Jenal, Jens Bongartz, Immanuel Weber, Damjan Hatic, Ronald Rösch, Thomas März, Markus Rauhut, Andreas Weinmann
2024	J	`jnl`	CNN Based Flank Predictor for Quadruped Animal Species. CoRR Vanessa Suessle, Marco Heurich, Colleen T. Downs, Andreas Weinmann, Elke Hergenröther
2024	J	`jnl`	CNN-based Game State Detection for a Foosball Table. CoRR David Hagens, Jan Knaup, Elke Hergenröther, Andreas Weinmann
2024	J	`jnl`	CNN-based Game State Detection for a Foosball Table. J. WSCG David Hagens, Jan Knaup, Elke Hergenröther, 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	—	`conf`	Real Time State Detection of a Foosball Game Using CNN-Based Computer Vision. SAI (1) Ronny Horst, David Hagens, Elke Hergenröther, Andreas Weinmann
2024	J	`jnl`	Smoothing Splines for Discontinuous Signals. J. Comput. Graph. Stat. Martin Storath, Andreas Weinmann
2024	J	`jnl`	SynDroneVision: A Synthetic Dataset for Image-Based Drone Detection. CoRR Tamara R. Lenhard, Andreas Weinmann, Kai Franke, Tobias Koch
2024	J	`jnl`	Variational model-based reconstruction techniques for multi-patch data in Magnetic Particle Imaging. J. Comput. Appl. Math. Vladyslav Gapyak, Thomas März, Andreas Weinmann
2024	J	`jnl`	YOLO-FEDER FusionNet: A Novel Deep Learning Architecture for Drone Detection. CoRR Tamara R. Lenhard, Andreas Weinmann, Stefan Jäger, Tobias Koch
2024	B	`conf`	YOLO-Feder Fusionnet: A Novel Deep Learning Architecture for Drone Detection. ICIP Tamara R. Lenhard, Andreas Weinmann, Stefan Jäger, Tobias Koch
2023	J	`jnl`	Automatic Individual Identification of Patterned Solitary Species Based on Unlabeled Video Data. CoRR 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
2023	J	`jnl`	Automatic Individual Identification of Patterned Solitary Species Based on Unlabeled Video Data. J. WSCG 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
2023	J	`jnl`	Degrees-of-freedom penalized piecewise regression. CoRR Stefan Volz, Martin Storath, Andreas Weinmann
2023	J	`jnl`	Reconstruction Formulae for 3D Field-Free Line Magnetic Particle Imaging. CoRR Vladyslav Gapyak, Thomas März, Andreas Weinmann
2023	J	`jnl`	Variational Model-Based Reconstruction Techniques for Multi-Patch Data in Magnetic Particle Imaging. CoRR Vladyslav Gapyak, Thomas März, Andreas Weinmann
2022	J	`jnl`	Smoothing splines for discontinuous signals. CoRR Martin Storath, Andreas Weinmann
2021	J	`jnl`	Clothoid fitting and geometric Hermite subdivision. Adv. Comput. Math. Ulrich Reif, 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`	Clothoid Fitting and Geometric Hermite Subdivision. CoRR Ulrich Reif, 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`	Non-smooth variational regularization for processing manifold-valued data. CoRR Martin Holler, 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	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`	Model-based learning of local image features for unsupervised texture segmentation. CoRR Martin Kiechle, Martin Storath, Andreas Weinmann, Martin Kleinsteuber
2016	J	`jnl`	A Second Order Nonsmooth Variational Model for Restoring Manifold-Valued Images. SIAM J. Sci. Comput. Miroslav Bacák, Ronny Bergmann, Gabriele Steidl, Andreas Weinmann
2016	J	`jnl`	A Second-Order TV-Type Approach for Inpainting and Denoising Higher Dimensional Combined Cyclic and Vector Space Data. J. Math. Imaging Vis. Ronny Bergmann, Andreas Weinmann
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	—	`conf`	Inpainting of Cyclic Data Using First and Second Order Differences. EMMCVPR Ronny Bergmann, 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`	Second Order Differences of Cyclic Data and Applications in Variational Denoising. SIAM J. Imaging Sci. Ronny Bergmann, Friederike Laus, Gabriele Steidl, Andreas Weinmann
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`	Interpolatory Multiscale Representation for Functions between Manifolds. SIAM J. Math. Anal. Andreas Weinmann
2012	J	`jnl`	Subdivision schemes with general dilation in the geometric and nonlinear setting. J. Approx. Theory Andreas Weinmann
2012	J	`jnl`	The L1-Potts functional for robust jump-sparse reconstruction. CoRR Andreas Weinmann, Martin Storath, Laurent Demaret
2011	J	`jnl`	Convergence and smoothness analysis of subdivision rules in Riemannian and symmetric spaces. Adv. Comput. Math. Johannes Wallner, Esfandiar Nava Yazdani, Andreas Weinmann