Kristian Bredies
Orcid: 0000-0001-7140-043X
According to our database1,
Kristian Bredies
authored at least 45 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Asymptotic linear convergence of fully-corrective generalized conditional gradient methods.
Math. Program., May, 2024
SIAM J. Optim., 2024
2023
A Generalized Conditional Gradient Method for Dynamic Inverse Problems with Optimal Transport Regularization.
Found. Comput. Math., June, 2023
A hybrid proximal generalized conditional gradient method and application to total variation parameter learning.
Proceedings of the European Control Conference, 2023
2022
A stochastic preconditioned Douglas-Rachford splitting method for saddle-point problems.
CoRR, 2022
2021
SIAM J. Numer. Anal., 2021
Medical Image Anal., 2021
Tensor-Free Proximal Methods for Lifted Bilinear/Quadratic Inverse Problems with Applications to Phase Retrieval.
Found. Comput. Math., 2021
2020
Robust single-shot acquisition of high resolution whole brain ASL images by combining time-dependent 2D CAPIRINHA sampling with spatio-temporal TGV reconstruction.
NeuroImage, 2020
CoRR, 2020
2019
2018
Evaluation of Parallel Level Sets and Bowsher's Method as Segmentation-Free Anatomical Priors for Time-of-Flight PET Reconstruction.
IEEE Trans. Medical Imaging, 2018
Infimal Convolution of Oscillation Total Generalized Variation for the Recovery of Images with Structured Texture.
SIAM J. Imaging Sci., 2018
2017
IEEE Trans. Medical Imaging, 2017
A Proximal Point Analysis of the Preconditioned Alternating Direction Method of Multipliers.
J. Optim. Theory Appl., 2017
2015
Preconditioned Douglas-Rachford Splitting Methods for Convex-concave Saddle-point Problems.
SIAM J. Numer. Anal., 2015
SIAM J. Math. Anal., 2015
A TGV-Based Framework for Variational Image Decompression, Zooming, and Reconstruction. Part II: Numerics.
SIAM J. Imaging Sci., 2015
A TGV-Based Framework for Variational Image Decompression, Zooming, and Reconstruction. Part I: Analytics.
SIAM J. Imaging Sci., 2015
Fast quantitative susceptibility mapping using 3D EPI and total generalized variation.
NeuroImage, 2015
J. Optim. Theory Appl., 2015
Preconditioned Douglas-Rachford Algorithms for TV- and TGV-Regularized Variational Imaging Problems.
J. Math. Imaging Vis., 2015
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015
2014
Proceedings of the Computer Vision - ECCV 2014, 2014
2013
J. Math. Imaging Vis., 2013
Spatially dependent regularization parameter selection in total generalized variation models for image restoration.
Int. J. Comput. Math., 2013
Comput. Sci. Eng., 2013
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013
2012
Artifact-Free Decompression and Zooming of JPEG Compressed Images with Total Generalized Variation.
Proceedings of the Computer Vision, Imaging and Computer Graphics. Theory and Application, 2012
Artifact-free JPEG Decompression with Total Generalized Variation.
Proceedings of the VISAPP 2012, 2012
2011
An active-contour based algorithm for the automated segmentation of dense yeast populations on transmission microscopy images.
Comput. Vis. Sci., 2011
Recovering Piecewise Smooth Multichannel Images by Minimization of Convex Functionals with Total Generalized Variation Penalty.
Proceedings of the Efficient Algorithms for Global Optimization Methods in Computer Vision, 2011
Vieweg+Teubner, ISBN: 978-3-8348-1037-3, 2011
2010
2009
A generalized conditional gradient method and its connection to an iterative shrinkage method.
Comput. Optim. Appl., 2009
2008
SIAM J. Sci. Comput., 2008
2006
Proceedings of the Systems, 2006