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2020 – today
- 2024
[c10]Tatiana Gaintseva, Martin Benning, Gregory G. Slabaugh:
RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement. ECCV (79) 2024: 412-428- [c9]Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh:
Crop and Couple: Cardiac Image Segmentation Using Interlinked Specialist Networks. ISBI 2024: 1-5 - [i19]Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney
, Gregory G. Slabaugh:
Crop and Couple: cardiac image segmentation using interlinked specialist networks. CoRR abs/2402.09156 (2024) - [i18]Tatiana Gaintseva, Martin Benning, Gregory G. Slabaugh:
RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement. CoRR abs/2404.01889 (2024) - [i17]Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh:
Multi-view Cardiac Image Segmentation via Trans-Dimensional Priors. CoRR abs/2404.16708 (2024) - [i16]Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh:
Convolution and Attention-Free Mamba-based Cardiac Image Segmentation. CoRR abs/2406.05786 (2024) - [i15]Tatiana Gaintseva, Laida Kushnareva, German Magai, Irina Piontkovskaya, Sergey I. Nikolenko, Martin Benning, Serguei Barannikov, Gregory G. Slabaugh:
Improving Interpretability and Robustness for the Detection of AI-Generated Images. CoRR abs/2406.15035 (2024) - [i14]Xiaoyu Wang, Martin Benning, Audrey Repetti:
A lifted Bregman strategy for training unfolded proximal neural network Gaussian denoisers. CoRR abs/2408.08742 (2024) - 2023
- [j9]Xiaoyu Wang, Martin Benning:
A lifted Bregman formulation for the inversion of deep neural networks. Frontiers Appl. Math. Stat. 9 (2023) - [j8]Xiaoyu Wang, Martin Benning:
Lifted Bregman Training of Neural Networks. J. Mach. Learn. Res. 24: 232:1-232:51 (2023) - [c8]Abbas Khan, Muhammad Asad, Alexander M. Zolotarev, Caroline H. Roney, Anthony Mathur, Martin Benning, Gregory G. Slabaugh:
Misclassification Loss for Segmentation of the Aortic Vessel Tree. SEG.A@MICCAI 2023: 67-79 - [i13]Martin Benning, Tatiana A. Bubba, Luca Ratti, Danilo Riccio:
Trust your source: quantifying source condition elements for variational regularisation methods. CoRR abs/2303.00696 (2023) - [i12]Xiaoyu Wang, Martin Benning:
A Lifted Bregman Formulation for the Inversion of Deep Neural Networks. CoRR abs/2303.01965 (2023) - 2022
- [c7]Russell Sammut Bonnici, Martin Benning, Charalampos Saitis:
Timbre Transfer with Variational Auto Encoding and Cycle-Consistent Adversarial Networks. IJCNN 2022: 1-8 - [c6]Abbas Khan, Omnia Alwazzan, Martin Benning, Greg G. Slabaugh:
Sequential Segmentation of the Left Atrium and Atrial Scars Using a Multi-scale Weight Sharing Network and Boundary-Based Processing. LAScarQS@MICCAI 2022: 69-82 - [i11]Xiaoyu Wang, Martin Benning:
Lifted Bregman Training of Neural Networks. CoRR abs/2208.08772 (2022) - [i10]Samira Kabri, Alexander Auras, Danilo Riccio, Hartmut Bauermeister, Martin Benning, Michael Moeller, Martin Burger:
Convergent Data-driven Regularizations for CT Reconstruction. CoRR abs/2212.07786 (2022) - 2021
- [j7]Martin Benning, Marta M. Betcke, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb:
Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework. SIAM J. Imaging Sci. 14(2): 814-843 (2021) - [i9]Russell Sammut Bonnici, Charalampos Saitis, Martin Benning:
Timbre Transfer with Variational Auto Encoding and Cycle-Consistent Adversarial Networks. CoRR abs/2109.02096 (2021) - 2020
- [j6]Martin Benning, Erlend Skaldehaug Riis, Carola-Bibiane Schönlieb:
Bregman Itoh-Abe Methods for Sparse Optimisation. J. Math. Imaging Vis. 62(6-7): 842-857 (2020) - [j5]Ferdia Sherry, Martin Benning, Juan Carlos de los Reyes, Martin J. Graves, Georg Maierhofer, Guy B. Williams, Carola-Bibiane Schönlieb, Matthias Joachim Ehrhardt:
Learning the Sampling Pattern for MRI. IEEE Trans. Medical Imaging 39(12): 4310-4321 (2020) - [i8]Robert Tovey, Duncan N. Johnstone, Sean M. Collins, William R. B. Lionheart, Paul A. Midgley, Martin Benning, Carola-Bibiane Schönlieb:
Scanning electron diffraction tomography of strain. CoRR abs/2008.03281 (2020) - [i7]Xiaoyu Wang, Martin Benning:
Generalised Perceptron Learning. CoRR abs/2012.03642 (2020)
2010 – 2019
- 2019
- [i6]Martin Benning, Elena Celledoni, Matthias J. Ehrhardt, Brynjulf Owren, Carola-Bibiane Schönlieb:
Deep learning as optimal control problems: models and numerical methods. CoRR abs/1904.05657 (2019) - [i5]Ferdia Sherry, Martin Benning, Juan Carlos de los Reyes, Martin J. Graves, Georg Maierhofer, Guy B. Williams, Carola-Bibiane Schönlieb, Matthias J. Ehrhardt:
Learning the Sampling Pattern for MRI. CoRR abs/1906.08754 (2019) - [i4]Martin Burger, Elena Resmerita, Martin Benning:
An entropic projection method for linear ill-posed problems. CoRR abs/1906.10032 (2019) - [i3]Veronica Corona, Martin Benning, Lynn F. Gladden, Andi Reci, Andrew J. Sederman, Carola-Bibiane Schoenlieb:
Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data. CoRR abs/1908.05285 (2019) - 2018
- [j4]Martin Benning, Martin Burger:
Modern regularization methods for inverse problems. Acta Numer. 27: 1-111 (2018) - 2017
- [c5]Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger, Daniel Cremers, Guy Gilboa, Carola-Bibiane Schönlieb:
Nonlinear Spectral Image Fusion. SSVM 2017: 41-53 - [c4]Martin Benning, Guy Gilboa, Joana Sarah Grah, Carola-Bibiane Schönlieb:
Learning Filter Functions in Regularisers by Minimising Quotients. SSVM 2017: 511-523 - [i2]Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger, Daniel Cremers, Guy Gilboa, Carola-Bibiane Schönlieb:
Nonlinear Spectral Image Fusion. CoRR abs/1703.08001 (2017) - 2015
- [j3]Michael Möller, Martin Benning, Carola Schönlieb, Daniel Cremers:
Variational Depth From Focus Reconstruction. IEEE Trans. Image Process. 24(12): 5369-5378 (2015) - [c3]Constantin Heck, Martin Benning, Jan Modersitzki:
Joint Registration and Parameter Estimation of T1 Relaxation Times Using Variable Flip Angles. Bildverarbeitung für die Medizin 2015: 215-220 - [c2]Martin Benning, Florian Knoll, Carola-Bibiane Schönlieb, Tuomo Valkonen:
Preconditioned ADMM with Nonlinear Operator Constraint. System Modelling and Optimization 2015: 117-126 - 2014
- [i1]Michael Möller, Martin Benning, Carola-Bibiane Schönlieb, Daniel Cremers:
Variational Depth from Focus Reconstruction. CoRR abs/1408.0173 (2014) - 2013
- [j2]Martin Benning, Christoph Brune, Martin Burger, Jahn Müller:
Higher-Order TV Methods - Enhancement via Bregman Iteration. J. Sci. Comput. 54(2-3): 269-310 (2013) - [j1]Martin Burger, Michael Möller, Martin Benning, Stanley J. Osher:
An adaptive inverse scale space method for compressed sensing. Math. Comput. 82(281): 269-299 (2013) - [c1]Martin Benning, Luca Calatroni, Bertram Düring, Carola-Bibiane Schönlieb:
A Primal-Dual Approach for a Total Variation Wasserstein Flow. GSI 2013: 413-421
Coauthor Index
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last updated on 2024-11-11 21:29 CET by the dblp team
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