Martin Benning

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 31

Top Topics

Laplacian Pyramid

Projection Method

Regularization Method

Depth From Focus

Top Venues

SIAM J. Imaging Sci.

J. Math. Imaging Vis.

Publications

Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh
Crop and Couple: cardiac image segmentation using interlinked specialist networks. CoRR (2024)
Tatiana Gaintseva, Martin Benning, Gregory G. Slabaugh
RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement. CoRR (2024)
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 (2024)
Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh
Convolution and Attention-Free Mamba-based Cardiac Image Segmentation. CoRR (2024)
Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh
Multi-view Cardiac Image Segmentation via Trans-Dimensional Priors. CoRR (2024)
Xiaoyu Wang, Martin Benning
Lifted Bregman Training of Neural Networks. J. Mach. Learn. Res. 24 (2023)
Martin Benning, Tatiana A. Bubba, Luca Ratti, Danilo Riccio
Trust your source: quantifying source condition elements for variational regularisation methods. CoRR (2023)
Xiaoyu Wang, Martin Benning
A lifted Bregman formulation for the inversion of deep neural networks. Frontiers Appl. Math. Stat. 9 (2023)
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)
Xiaoyu Wang, Martin Benning
A Lifted Bregman Formulation for the Inversion of Deep Neural Networks. CoRR (2023)
Xiaoyu Wang, Martin Benning
Lifted Bregman Training of Neural Networks. CoRR (2022)
Russell Sammut Bonnici, Martin Benning, Charalampos Saitis
Timbre Transfer with Variational Auto Encoding and Cycle-Consistent Adversarial Networks. IJCNN (2022)
Samira Kabri, Alexander Auras, Danilo Riccio, Hartmut Bauermeister, Martin Benning, Michael Moeller, Martin Burger
Convergent Data-driven Regularizations for CT Reconstruction. CoRR (2022)
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)
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) (2021)
Russell Sammut Bonnici, Charalampos Saitis, Martin Benning
Timbre Transfer with Variational Auto Encoding and Cycle-Consistent Adversarial Networks. CoRR (2021)
Ferdia Sherry, Martin Benning, Juan Carlos de los Reyes, Martin J. Graves, Georg Maierhofer, Guy Williams, Carola-Bibiane Schönlieb, Matthias Joachim Ehrhardt
Learning the Sampling Pattern for MRI. IEEE Trans. Medical Imaging 39 (12) (2020)
Xiaoyu Wang, Martin Benning
Generalised Perceptron Learning. CoRR (2020)
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 (2020)
Martin Benning, Erlend Skaldehaug Riis, Carola-Bibiane Schönlieb
Bregman Itoh-Abe Methods for Sparse Optimisation. J. Math. Imaging Vis. 62 (6-7) (2020)
Ferdia Sherry, Martin Benning, Juan Carlos de los Reyes, Martin J. Graves, Georg Maierhofer, Guy Williams, Carola-Bibiane Schönlieb, Matthias J. Ehrhardt
Learning the Sampling Pattern for MRI. CoRR (2019)
Martin Benning, Elena Celledoni, Matthias J. Ehrhardt, Brynjulf Owren, Carola-Bibiane Schönlieb
Deep learning as optimal control problems: models and numerical methods. CoRR (2019)
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 (2019)
Martin Burger, Elena Resmerita, Martin Benning
An entropic projection method for linear ill-posed problems. CoRR (2019)
Martin Benning, Martin Burger
Modern regularization methods for inverse problems. Acta Numer. 27 (2018)
Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger, Daniel Cremers, Guy Gilboa, Carola-Bibiane Schönlieb
Nonlinear Spectral Image Fusion. CoRR (2017)
Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger, Daniel Cremers, Guy Gilboa, Carola-Bibiane Schönlieb
Nonlinear Spectral Image Fusion. SSVM (2017)
Martin Benning, Guy Gilboa, Joana Sarah Grah, Carola-Bibiane Schönlieb
Learning Filter Functions in Regularisers by Minimising Quotients. SSVM (2017)
Michael Möller, Martin Benning, Carola Schönlieb, Daniel Cremers
Variational Depth From Focus Reconstruction. IEEE Trans. Image Process. 24 (12) (2015)
Constantin Heck, Martin Benning, Jan Modersitzki
Joint Registration and Parameter Estimation of T1 Relaxation Times Using Variable Flip Angles. Bildverarbeitung für die Medizin (2015)
Martin Benning, Florian Knoll, Carola-Bibiane Schönlieb, Tuomo Valkonen
Preconditioned ADMM with Nonlinear Operator Constraint. System Modelling and Optimization (2015)
Michael Möller, Martin Benning, Carola-Bibiane Schönlieb, Daniel Cremers
Variational Depth from Focus Reconstruction. CoRR (2014)
Martin Benning, Luca Calatroni, Bertram Düring, Carola-Bibiane Schönlieb
A Primal-Dual Approach for a Total Variation Wasserstein Flow. GSI (2013)
Martin Burger, Michael Möller, Martin Benning, Stanley J. Osher
An adaptive inverse scale space method for compressed sensing. Math. Comput. 82 (281) (2013)
Martin Benning, Christoph Brune, Martin Burger, Jahn Müller
Higher-Order TV Methods - Enhancement via Bregman Iteration. J. Sci. Comput. 54 (2-3) (2013)