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Thomas Pock

Graz University of Technology

Learning atrial fiber orientations and conductivity tensors from intracardiac maps using physics-informed neural networks


Feb 22, 2021
Thomas Grandits, Simone Pezzuto, Francisco Sahli Costabal, Paris Perdikaris, Thomas Pock, Gernot Plank, Rolf Krause

* 8 pages, 2 figures 

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Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction


Feb 12, 2021
Dominik Narnhofer, Alexander Effland, Erich Kobler, Kerstin Hammernik, Florian Knoll, Thomas Pock

* 10 pages, 9 figures 

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Shared Prior Learning of Energy-Based Models for Image Reconstruction


Nov 13, 2020
Thomas Pinetz, Erich Kobler, Thomas Pock, Alexander Effland

* 37 pages, 19 figures 

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BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo


Oct 23, 2020
Christian Sormann, Patrick Knöbelreiter, Andreas Kuhn, Mattia Rossi, Thomas Pock, Friedrich Fraundorfer

* accepted at 3DV 2020 

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Total Deep Variation: A Stable Regularizer for Inverse Problems


Jun 15, 2020
Erich Kobler, Alexander Effland, Karl Kunisch, Thomas Pock

* 30 pages, 12 figures. arXiv admin note: text overlap with arXiv:2001.05005 

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Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems


Mar 13, 2020
Patrick Knöbelreiter, Christian Sormann, Alexander Shekhovtsov, Friedrich Fraundorfer, Thomas Pock

* CVPR 2020 

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Total Deep Variation for Linear Inverse Problems


Feb 17, 2020
Erich Kobler, Alexander Effland, Karl Kunisch, Thomas Pock

* 21 pages, 10 figures 

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The Five Elements of Flow


Dec 23, 2019
Markus Hofinger, Samuel Rota Bulò, Lorenzo Porzi, Arno Knapitsch, Thomas Pock, Peter Kontschieder


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On the estimation of the Wasserstein distance in generative models


Oct 02, 2019
Thomas Pinetz, Daniel Soukup, Thomas Pock

* Accepted and presented at GCPR 2019 (http://gcpr2019.tu-dortmund.de/

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Learned Collaborative Stereo Refinement


Jul 31, 2019
Patrick Knöbelreiter, Thomas Pock

* @German Conference on Pattern Recognition 2019 

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Self-Supervised Learning for Stereo Reconstruction on Aerial Images


Jul 29, 2019
Patrick Knöbelreiter, Christoph Vogel, Thomas Pock

* Symposium Prize Paper Award @IGARSS 2018 

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An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration


Jul 19, 2019
Alexander Effland, Erich Kobler, Karl Kunisch, Thomas Pock

* 14 figures 

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Fast Decomposable Submodular Function Minimization using Constrained Total Variation


May 27, 2019
K S Sesh Kumar, Francis Bach, Thomas Pock


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Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Non-Convex Optimization


Apr 06, 2019
Mahesh Chandra Mukkamala, Peter Ochs, Thomas Pock, Shoham Sabach

* 30 pages, 20 figures 

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Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction


Apr 01, 2019
Florian Knoll, Kerstin Hammernik, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K. Sodickson, Mehmet Akcakaya

* 14 pages, 7 figures 

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Learning Energy Based Inpainting for Optical Flow


Nov 09, 2018
Christoph Vogel, Patrick Knöbelreiter, Thomas Pock

* Proc. Asian Conf. on Computer Vision (ACCV), 2018 

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3D Fluid Flow Estimation with Integrated Particle Reconstruction


Apr 10, 2018
Katrin Lasinger, Christoph Vogel, Thomas Pock, Konrad Schindler

* submitted to ECCV 2018 

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Variational 3D-PIV with Sparse Descriptors


Apr 09, 2018
Katrin Lasinger, Christoph Vogel, Thomas Pock, Konrad Schindler

* to be published in Measurement Science and Technology 

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Robust Deformation Estimation in Wood-Composite Materials using Variational Optical Flow


Feb 13, 2018
Markus Hofinger, Thomas Pock, Thomas Moosbrugger

* 23rd Computer Vision Winter Workshop proceedings February 2018 page 97-104 
* 8 pages, 8 figures, originally published in 23 rd Computer Vision Winter Workshop proceedings 2018 http://cmp.felk.cvut.cz/cvww2018/papers/28.pdf 

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Semantic 3D Reconstruction with Finite Element Bases


Oct 04, 2017
Audrey Richard, Christoph Vogel, Maros Blaha, Thomas Pock, Konrad Schindler

* BMVC 2017, 28th British Machine Vision Conference 

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Scalable Full Flow with Learned Binary Descriptors


Jul 20, 2017
Gottfried Munda, Alexander Shekhovtsov, Patrick Knöbelreiter, Thomas Pock

* GCPR 2017 

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End-to-End Training of Hybrid CNN-CRF Models for Stereo


May 03, 2017
Patrick Knöbelreiter, Christian Reinbacher, Alexander Shekhovtsov, Thomas Pock

* To appear at CVPR 2017 

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Learning a Variational Network for Reconstruction of Accelerated MRI Data


Apr 03, 2017
Kerstin Hammernik, Teresa Klatzer, Erich Kobler, Michael P Recht, Daniel K Sodickson, Thomas Pock, Florian Knoll

* Submitted to Magnetic Resonance in Medicine 

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Real-Time Panoramic Tracking for Event Cameras


Mar 21, 2017
Christian Reinbacher, Gottfried Munda, Thomas Pock

* Accepted to International Conference on Computational Photography 2017 

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Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration


Aug 20, 2016
Yunjin Chen, Thomas Pock

* 14 pages, 13 figures, to appear in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 

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Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisation


Aug 04, 2016
Christian Reinbacher, Gottfried Graber, Thomas Pock

* Accepted to BMVC 2016 as oral presentation, 12 pages 

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Total variation on a tree


Apr 25, 2016
Vladimir Kolmogorov, Thomas Pock, Michal Rolinek

* accepted to SIAM Journal on Imaging Sciences (SIIMS) 

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Acceleration of the PDHGM on strongly convex subspaces


Feb 10, 2016
Tuomo Valkonen, Thomas Pock


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