Andreas Weinmann

Orcid: 0000-0002-4969-7609

According to our database1, Andreas Weinmann authored at least 49 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Smoothing Splines for Discontinuous Signals.
J. Comput. Graph. Stat., 2024

Variational model-based reconstruction techniques for multi-patch data in Magnetic Particle Imaging.
J. Comput. Appl. Math., 2024

CNN Based Flank Predictor for Quadruped Animal Species.
CoRR, 2024

Automated Bioacoustic Monitoring for South African Bird Species on Unlabeled Data.
CoRR, 2024

YOLO-FEDER FusionNet: A Novel Deep Learning Architecture for Drone Detection.
CoRR, 2024

CNN-based Game State Detection for a Foosball Table.
CoRR, 2024

Low-Dose CT Image Reconstruction by Fine-Tuning a UNet Pretrained for Gaussian Denoising for the Downstream Task of Image Enhancement.
CoRR, 2024

An 𝓁<sup>1</sup>-Plug-and-Play Approach for Magnetic Particle Imaging Using a Zero Shot Denoiser with Validation on the 3D Open MPI Dataset.
CoRR, 2024

Blessemflood21: Advancing Flood Analysis with a High-Resolution Georeferenced Dataset for Humanitarian Aid Support.
Proceedings of the IGARSS 2024, 2024

2023
Automatic Individual Identification of Patterned Solitary Species Based on Unlabeled Video Data.
J. WSCG, July, 2023

Degrees-of-freedom penalized piecewise regression.
CoRR, 2023

Reconstruction Formulae for 3D Field-Free Line Magnetic Particle Imaging.
CoRR, 2023

2021
Iterative Potts Minimization for the Recovery of Signals with Discontinuities from Indirect Measurements: The Multivariate Case.
Found. Comput. Math., 2021

Clothoid fitting and geometric Hermite subdivision.
Adv. Comput. Math., 2021

2020
An Efficient Algorithm for the Piecewise Affine-Linear Mumford-Shah Model Based on a Taylor Jet Splitting.
IEEE Trans. Image Process., 2020

An Algorithm for Second Order Mumford-Shah Models Based on a Taylor Jet Formulation.
SIAM J. Imaging Sci., 2020

Wavelet Sparse Regularization for Manifold-Valued Data.
Multiscale Model. Simul., 2020

PALMS Image Partitioning - A New Parallel Algorithm for the Piecewise Affine-Linear Mumford-Shah Model.
Image Process. Line, 2020

Multi-Channel Potts-Based Reconstruction for Multi-Spectral Computed Tomography.
CoRR, 2020

2019
Total Variation Regularization of Pose Signals With an Application to 3D Freehand Ultrasound.
IEEE Trans. Medical Imaging, 2019

Smoothing for signals with discontinuities using higher order Mumford-Shah models.
Numerische Mathematik, 2019

Non-smooth variational regularization for processing manifold-valued data.
CoRR, 2019

Direct MRI Segmentation from k-Space Data by Iterative Potts Minimization.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019

2018
Model-Based Learning of Local Image Features for Unsupervised Texture Segmentation.
IEEE Trans. Image Process., 2018

Fast Piecewise-Affine Motion Estimation Without Segmentation.
IEEE Trans. Image Process., 2018

Total Generalized Variation for Manifold-Valued Data.
SIAM J. Imaging Sci., 2018

Fast Median Filtering for Phase or Orientation Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Variational Regularization of Inverse Problems for Manifold-Valued Data.
CoRR, 2018

2017
Edge Preserving and Noise Reducing Reconstruction for Magnetic Particle Imaging.
IEEE Trans. Medical Imaging, 2017

Fast Segmentation From Blurred Data in 3D Fluorescence Microscopy.
IEEE Trans. Image Process., 2017

2016
Combined Tensor Fitting and TV Regularization in Diffusion Tensor Imaging Based on a Riemannian Manifold Approach.
IEEE Trans. Medical Imaging, 2016

Joint Segmentation and Shape Regularization With a Generalized Forward-Backward Algorithm.
IEEE Trans. Image Process., 2016

Exact Algorithms for L<sup>1</sup>-TV Regularization of Real-Valued or Circle-Valued Signals.
SIAM J. Sci. Comput., 2016

A Second Order Nonsmooth Variational Model for Restoring Manifold-Valued Images.
SIAM J. Sci. Comput., 2016

Mumford-Shah and Potts Regularization for Manifold-Valued Data.
J. Math. Imaging Vis., 2016

A Second-Order TV-Type Approach for Inpainting and Denoising Higher Dimensional Combined Cyclic and Vector Space Data.
J. Math. Imaging Vis., 2016

2015
The L<sup>1</sup>-Potts Functional for Robust Jump-Sparse Reconstruction.
SIAM J. Numer. Anal., 2015

Total variation regularization of shape signals.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Jump-Sparse and Sparse Recovery Using Potts Functionals.
IEEE Trans. Signal Process., 2014

Total Variation Regularization for Manifold-Valued Data.
SIAM J. Imaging Sci., 2014

Fast Partitioning of Vector-Valued Images.
SIAM J. Imaging Sci., 2014

Second Order Differences of Cyclic Data and Applications in Variational Denoising.
SIAM J. Imaging Sci., 2014

Mumford-Shah and Potts Regularization for Manifold-Valued Data with Applications to DTI and Q-Ball Imaging.
CoRR, 2014

Unsupervised texture segmentation using monogenic curvelets and the Potts model.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Inpainting of Cyclic Data Using First and Second Order Differences.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2014

2012
Interpolatory Multiscale Representation for Functions between Manifolds.
SIAM J. Math. Anal., 2012

Subdivision schemes with general dilation in the geometric and nonlinear setting.
J. Approx. Theory, 2012

The L1-Potts functional for robust jump-sparse reconstruction.
CoRR, 2012

2011
Convergence and smoothness analysis of subdivision rules in Riemannian and symmetric spaces.
Adv. Comput. Math., 2011


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