ICG/Research/Team Pock/Team

Thomas Pock

 

Short CV

Thomas Pock received his MSc (1998-2004) and his PhD (2005-2008) in Computer Engineering (Telematik) from Graz University of Technology. After a Post-doc position at the University of Bonn, he moved back to Graz University of Technology where he has been an Assistant Professor at the Institute of Computer Graphics and Vision. In 2013 Thomas Pock received the START price of the Austrian Science Fund (FWF) and the German Pattern recognition award of the German association for pattern recognition (DAGM). In 2014, he received a starting grant from the European Research Council (ERC). Since 2014 Thomas Pock is a Professor of Computer Science at Graz University of Technology, where he is leading the vision, learning and optimization (VLO) group. In 2019, he became a member (reporter) of the board of the Austrian Science Fund (FWF) for the section computer science. The focus of his research is image processing, computer vision, inverse problems, convex and non-smooth optimization, and machine learning.

Google Scholar

TUGrazOnline

Publications

Stefan Herdy, Emilio Rodríguez-Caballero, Thomas Pock and Bettina Weber Utilization of deep learning tools to map and monitor biological soil crusts Show publication in PURE
Martin Zach, Erich Kobler, Antonin Chambolle and Thomas Pock Product of Gaussian Mixture Diffusion Models Show publication in PURE
Robert Harb, Thomas Pock and Heimo Muller Diffusion-based generation of Histopathological Whole Slide Images at a Gigapixel scale Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024 5119-5128 Show publication in PURE
Dominik Narnhofer, Andreas Habring, Martin Holler and Thomas Pock Posterior-Variance--Based Error Quantification for Inverse Problems in Imaging Show publication in PURE
Muhamed Kuric, Jan Ahmetspahic and Thomas Pock Total Generalized Variation on a Tree Show publication in PURE
Edi Muškardin, Martin Tappler, Ingo Pill, Bernhard K. Aichernig and Thomas Pock On the Relationship Between RNN Hidden-State Vectors and Semantic Structures 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024 - Proceedings of the Conference 5641-5658 Show publication in PURE
Patricia M. Johnson, Dana J. Lin, Jure Zbontar, C. Lawrence Zitnick, Anuroop Sriram, Matthew Muckley, James S. Babb, Mitchell Kline, Gina Ciavarra, Erin Alaia, Mohammad Samim, William R. Walter, Liz Calderon, Thomas Pock, Daniel K. Sodickson, Michael P. Recht and Florian Knoll Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRI Show publication in PURE
Johannes Mellak, Enrico Arrigoni, Thomas Pock and Wolfgang Von Der Linden Quantum transport in open spin chains using neural-network quantum states Show publication in PURE
Martin Zach, Florian Knoll and Thomas Pock Stable Deep MRI Reconstruction Using Generative Priors Show publication in PURE
Lydia Lindner, Alexander Effland, Filip Ilic, Thomas Pock and Erich Kobler Lightweight Video Denoising using Aggregated Shifted Window Attention Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023 351-360 Show publication in PURE
Martin Zach, Thomas Pock, Erich Kobler and Antonin Chambolle Explicit Diffusion of Gaussian Mixture Model Based Image Priors Scale Space and Variational Methods in Computer Vision - 9th International Conference, SSVM 2023, Proceedings 3-15 Show publication in PURE
Lea Bogensperger, Antonin Chambolle, Alexander Effland and Thomas Pock Learned Discretization Schemes for the Second-Order Total Generalized Variation Scale Space and Variational Methods in Computer Vision - 9th International Conference, SSVM 2023, Proceedings 484-497 Show publication in PURE
Lea Bogensperger, Dominik Narnhofer, Filip Ilic and Thomas Pock Score-Based Generative Models for Medical Image Segmentation using Signed Distance Functions DAGM German Conference on Pattern Recognition, Heidelberg Show publication in PURE
Markus Hofinger, Erich Kobler, Alexander Effland and Thomas Pock Learned Variational Video Color Propagation Computer Vision – ECCV 2022 512-530 Show publication in PURE
Dominik Narnhofer, Alexander Effland, Erich Kobler, Kerstin Hammernik, Florian Knoll and Thomas Pock Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction Show publication in PURE
Erich Kobler, Alexander Effland, Karl Kunisch and Thomas Pock Total Deep Variation Show publication in PURE
Lea Bogensperger, Marc Masana, Filip Ilic, Dagmar Kolb, Thomas R. Pieber and Thomas Pock On the Influence of Beta Cell Granule Counting for Classification in Type 1 Diabetes Computer Vision and Pattern Analysis Across Domains 45-50 Show publication in PURE
Filip Ilic, Marc Masana, Lea Bogensperger, Harald Ganster and Thomas Pock A study on robust feature representations for grain density estimates in austenitic steel Computer Vision and Pattern Analysis Across Domains 38-44 Show publication in PURE
Lea Bogensperger, Erich Kobler, Dominique Pernitsch, Petra Kotzbeck, Thomas Pieber, Thomas Pock and Dagmar Kolb A joint alignment and reconstruction algorithm for electron tomography to visualize in-depth cell-to-cell interactions Show publication in PURE
Lea Bogensperger, Antonin Chambolle and Thomas Pock Convergence of a Piggyback-Style Method for the Differentiation of Solutions of Standard Saddle-Point Problems Show publication in PURE
Anna Pukaluk, Anna-Sophie Wittgenstein, Gerd Leitinger, Dagmar Kolb, Dominique Pernitsch, Sarah Anna Schneider, Patrick Knöbelreiter, Verena Horak, Kristian Bredies, Gerhard Holzapfel, Thomas Pock and Gerhard Sommer An ultrastructural 3D reconstruction method for observing the arrangement of collagen fibrils and proteoglycans in the human aortic wall under mechanical load Show publication in PURE
Filip Ilic, Thomas Pock and Richard P. Wildes Is Appearance Free Action Recognition Possible? Computer Vision – ECCV 2022 156-173 Show publication in PURE
Thomas Pinetz, Erich Kobler, Thomas Pock and Alexander Effland Blind Single Image Super-Resolution via Iterated Shared Prior Learning Pattern Recognition - 44th DAGM German Conference, DAGM GCPR 2022, Proceedings 151-165 Show publication in PURE
Alexander Effland, Erich Kobler, Thomas Pock, Marko Rajkovic and Martin Rumpf Image Morphing in Deep Feature Spaces: Theory and Applications Show publication in PURE
Antonin Chambolle and Thomas Pock Approximating the Total Variation with Finite Differences or Finite ElementsHandbook of Numerical Analysis383-417 Show publication in PURE
Christian Kopf, Thomas Pock, Bernhard Blaschitz and Svorad Štolc Inline Double Layer Depth Estimation with Transparent Materials Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Proceedings 418-431 Show publication in PURE
Thomas Grandits, Alexander Effland, Thomas Pock, Rolf Krause, Gernot Plank and Simone Pezzuto GEASI Show publication in PURE
Patrick Knöbelreiter and Thomas Pock Learned Collaborative Stereo Refinement Show publication in PURE
Thomas Grandits, Simone Pezzuto, Francisco Sahli Costabal, Paris Perdikaris, Thomas Pock, Gernot Plank and Rolf Krause Learning Atrial Fiber Orientations and Conductivity Tensors from Intracardiac Maps Using Physics-Informed Neural Networks Functional Imaging and Modeling of the Heart - 11th International Conference, FIMH 2021, Proceedings 650-658 Show publication in PURE
Karli Gillette, Matthias A.F. Gsell, Anton J. Prassl, Elias Karabelas, Ursula Reiter, Gert Reiter, Thomas Grandits, Christian Payer, Darko Štern, Martin Urschler, Jason D. Bayer, Christoph M. Augustin, Aurel Neic, Thomas Pock, Edward J. Vigmond and Gernot Plank A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs Show publication in PURE
Jolijn M. Lubrecht, Thomas Grandits, Ali Gharaviri, Ulrich Schotten, Thomas Pock, Gernot Plank, Rolf Krause, Angelo Auricchio, Giulio Conte and Simone Pezzuto Automatic reconstruction of the left atrium activation from sparse intracardiac contact recordings by inverse estimate of fibre structure and anisotropic conduction in a patient-specific model Show publication in PURE
Martin Zach, Erich Kobler and Thomas Pock Computed Tomography Reconstruction Using Generative Energy-Based Priors Proceedings of the OAGM Workshop 2021 52-58 Show publication in PURE
Alexander Effland, Erich Kobler, Karl Kunisch and Thomas Pock Variational Networks: An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration Show publication in PURE
Markus Hofinger, Samuel Rota Bulò, Lorenzo Porzi, Arno Knapitsch, Thomas Pock and Peter Kontschieder Improving Optical Flow on a Pyramid Level Computer Vision – ECCV 2020 - 16th European Conference, 2020, Proceedings 770-786 Show publication in PURE
Erich Kobler, Alexander Effland, Karl Kunisch and Thomas Pock Total Deep Variation for Linear Inverse Problems Show publication in PURE
Antonin Chambolle and Thomas Pock Learning Consistent Discretizations of the Total Variation Show publication in PURE
Antonin Chambolle, Thomas Pock and Martin Holler A convex variational model for learning convolutional image atoms from incomplete data Show publication in PURE
Mahesh Chandra Mukkamala, Peter Ochs, Thomas Pock and Shoham Sabach Convex-Concave backtracking for inertial Bregman proximal gradient algorithms in nonconvex optimization Show publication in PURE
Erich Kobler, Alexander Effland, Thomas Pock, Baiyu Chen and Daniel Sodickson Total Deep Variation for SparseCT Reconstruction Show publication in PURE
Christian Sormann, Patrick Knöbelreiter, Andreas Kuhn, Mattia Rossi, Thomas Pock and Friedrich Fraundorfer BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo Proceedings - 2020 International Conference on 3D Vision, 3DV 2020 394-403 Show publication in PURE
Patrick Knöbelreiter, Christian Sormann, Alexander Shekhovtsov, Friedrich Fraundorfer and Thomas Pock Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020 7897-7906 Show publication in PURE
Thomas Grandits, Karli Gillette, Aurel Neic, Jason Bayer, Edward Vigmond, Thomas Pock and Gernot Plank An inverse Eikonal method for identifying ventricular activation sequences from epicardial activation maps Show publication in PURE
Florian Knoll, Kerstin Hammernik, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K. Sodickson and Mehmet Akcakaya Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction Show publication in PURE
Thomas Pinetz, Erich Kobler, Thomas Pock and Alexander Effland Shared Prior Learning of Energy-Based Models for Image Reconstruction Show publication in PURE
Erich Kobler, Thomas Pock, Alexander Effland and Karl Kunisch Total Deep Variation: A Stable Regularizer for Inverse Problems Show publication in PURE
Thomas Andreas Grandits, Thomas Pock, Simone Pezzuto, Jolijn M Lubrecht, Gernot Plank and Rolf Krause PIEMAP: Personalized Inverse Eikonal Model from cardiac Electro-Anatomical Maps Show publication in PURE
Alexander Effland, Erich Kobler, Anne Brandenburg, Teresa Klatzer, Leonie Neuhäuser, Michael Hölzel, Jennifer Landsberg, Thomas Pock and Martin Rumpf Joint Reconstruction and Classification of Tumor Cells and Cell Interactions in Melanoma Tissue Sections with Synthesized Training Data Show publication in PURE
Alexander Effland, Erich Kobler, Thomas Pock and Martin Rumpf Time Discrete Geodesics in Deep Feature Spaces for Image Morphing Scale Space and Variational Methods in Computer Vision 171-182 Show publication in PURE
Dominik Narnhofer, Kerstin Hammernik, Florian Knoll and Thomas Pock Inverse GANs for accelerated MRI reconstruction Wavelets and Sparsity XVIII Show publication in PURE
Patrick Knöbelreiter and Thomas Pock Learned Collaborative Stereo Refinement German Conference on Pattern Recognition 3-17 Show publication in PURE
Thomas Pinetz, Daniel Soukup and Thomas Pock On the estimation of the Wasserstein distance in generative models German Conference on Pattern Recognition 156-170 Show publication in PURE
Markus Hofinger, Thomas Pock and Thomas Moosbrugger Determination of the moisture change behavior of cross-laminated timber using an optical flow based computer vision technique Show publication in PURE
Patricia M Johnson, Matthew J Muckley, Mary Bruno, Erich Kobler, Kerstin Hammernik, Thomas Pock and Florian Knoll Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions Machine Learning for Medical Image Reconstruction 71-79 Show publication in PURE
Chambolle Antonin and Thomas Pock Total roto-translational variation Show publication in PURE
Martin Schwarzbach, Stefan Manfred Spann, Kerstin Hammernik, Christoph Stefan Aigner, Thomas Pock and Rudolf Stollberger Combining Variational Optimization and Deep Learning for efficient ASL image quality enhancement Magnetic Resonance Materials in Physics, Biology and Medicine Show publication in PURE
Peter Ochs and Thomas Pock Adaptive FISTA for nonconvex optimization Show publication in PURE
Katrin Lasinger, Christoph Vogel, Thomas Pock and Konrad Schindler 3D Fluid Flow Estimation with Integrated Particle Reconstruction Pattern Recognition - 40th German Conference, GCPR 2018, Proceedings 315-332 Show publication in PURE
Florian Knoll, Kerstin Hammernik, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K Sodickson and Mehmet Akcakaya Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction Show publication in PURE
Mahesh Chandra Mukkamala, Peter Ochs, Thomas Pock and Shoham Sabach Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Non-Convex Optimization Show publication in PURE
KS Kumar, Francis Bach and Thomas Pock Fast Decomposable Submodular Function Minimization using Constrained Total Variation Show publication in PURE
Alexander Effland, Erich Kobler, Thomas Pock, Marko Rajkovic and Martin Rumpf Image Morphing in Deep Feature Spaces: Theory and Applications Show publication in PURE
Kerstin Hammernik, Teresa Klatzer, Erich Kobler, Michael P Recht, Daniel K Sodickson, Thomas Pock and Florian Knoll Learning a Variational Network for Reconstruction of Accelerated MRI Data Show publication in PURE
Thomas Andreas Grandits and Thomas Pock Optimizing Wavelet Bases for Sparser Representations Energy Minimization Methods in Computer Vision and Pattern Recognition 249-262 Show publication in PURE
Markus Hofinger, Thomas Pock and Thomas Moosbrugger Robust Deformation Estimation in Wood-Composite Materials using Variational Optical Flow Show publication in PURE
Katrin Lasinger, Christoph Vogel, Konrad Schindler and Thomas Pock Variational 3D-PIV with sparse descriptors Show publication in PURE
Florian Knoll, Kerstin Hammernik, Erich Kobler, Thomas Pock, Michael P Recht and Daniel K Sodickson Assessment of the generalization of learned image reconstruction and the potential for transfer learning Show publication in PURE
Christoph Vogel, Patrick Knöbelreiter and Thomas Pock Learning Energy Based Inpainting for Optical Flow Show publication in PURE
Patrick Knöbelreiter, Christoph Vogel and Thomas Pock Self-Supervised Learning for Stereo Reconstruction on Aerial Images Show publication in PURE
Y. Malitsky and Thomas Pock A First-Order Primal-Dual Algorithm with Linesearch Show publication in PURE
D. Antensteiner, S. Stolc and Thomas Pock A Review of Depth and Normal Fusion Algorithms Show publication in PURE
Alexander Effland, M. Hölzel, T. Klatzer, Erich Kobler, J. Landsberg, L. Neuhäuser, Thomas Pock and M. Rumpf Variational Networks for Joint Image Reconstruction and Classification of Tumor Immune Cell Interactions in Melanoma Tissue Sections Bildverarbeitung für die Medizin 2018 Show publication in PURE
D. Antensteiner, S. Stolc and Thomas Pock Variational Fusion of Light Field and Photometric Stereo for Precise 3D Sensing within a Multi-Line Scan Framework Proceedings of the International Conference on Pattern Recognition (ICPR) Show publication in PURE
G. Munda, C. Reinbacher and T. Pock Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisation Show publication in PURE
Florian Knoll, Kerstin Hammernik, Thomas Pock, Daniel K Sodickson and Michael P Recht Assessment of the generalization of learned image reconstruction and the potential for transfer learning Show publication in PURE
Kerstin Hammernik, Erich Kobler, Thomas Pock, Michael P Recht, Daniel K Sodickson and Florian Knoll Variational Adversarial Networks for Accelerated MR Image Reconstruction Show publication in PURE
Florian Knoll, Kerstin Hammernik, Erich Kobler, Thomas Pock, Daniel K Sodickson and Michael P Recht Analysis of the influence of deviations between training and test data in learned image reconstruction Show publication in PURE
Erich Kobler, Matthew Muckley, Baiyu Chen, Florian Knoll, Kerstin Hammernik, Thomas Pock, Daniel Sodickson and Ricardo Otazo Variational Deep Learning for Low-Dose Computed Tomography 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings 6687-6691 Show publication in PURE
Oliver Maier, Matthias Schlögl, Andreas Johann Lesch, Andreas Petrovic, Martin Holler, Thomas Pock and Rudolf Stollberger Improved Accelerated Model-based Parameter Quantification with Total-Generalized- Variation Regularization. Show publication in PURE
Aleksander Colovic, Patrick Knöbelreiter, Alexander Shekhovtsov and Thomas Pock End-to-End Training of Hybrid CNN-CRF Models for Semantic Segmentation using Structured Learning Show publication in PURE
Kerstin Hammernik, Tobias Würfl, Thomas Pock and Andreas Maier A Deep Learning Architecture for Limited-Angle Computed Tomography Reconstruction Bildverarbeitung für die Medizin 2017 92-97 Show publication in PURE
Kerstin Hammernik, Thomas Pock and Robert Nuster Variational Photoacoustic Image Reconstruction with Spatially Resolved Projection Data Proceedings Volume 10064, Photons Plus Ultrasound Show publication in PURE
Kerstin Hammernik, Florian Knoll, Daniel K Sodickson and Thomas Pock On the Influence of Sampling Pattern Design on Deep Learning-Based MRI Reconstruction Proceedings of the International Society of Magnetic Resonance in Medicine (ISMRM) Show publication in PURE
Kerstin Hammernik, Florian Knoll, Daniel K Sodickson and Thomas Pock L2 or not L2: Impact of Loss Function Design for Deep Learning MRI Reconstruction Proceedings of the International Society of Magnetic Resonance in Medicine (ISMRM) Show publication in PURE
Florian Knoll, Kerstin Hammernik, Elisabeth Garwood, Anna Hirschmann, Leon Rybak, Mary Bruno, Kai Tobias Block, James Babb, Thomas Pock, Daniel K Sodickson and Michael P Recht Accelerated Knee Imaging Using a Deep Learning Based Reconstruction Proceedings of the International Society of Magnetic Resonance in Medicine (ISMRM) Show publication in PURE
Christoph Vogel and Thomas Pock A Primal Dual Network for Low-Level Vision Problems German Conference on Pattern Recognition, 2017 Show publication in PURE
Christoph Vogel, Audrey Richard, Thomas Pock and Konrad Schindler Semantic 3D Reconstruction with Finite Element Bases 28th British Machine Vision Conference Show publication in PURE
Teresa Klatzer, Daniel Soukup, Erich Kobler, Kerstin Hammernik and Thomas Pock Trainable Regularization for Multi-frame Superresolution Pattern Recognition 90-100 Show publication in PURE
Claus Gerstenberger, Michael Karbiener, Nikolaus Jaufer, Thomas Pock, Martin Urschler and Markus Gugatschka Automated segmentation and morphometry of muscle fibers from haematoxylin-eosin-stained histological sections Show publication in PURE
Gottfried Munda, Alexander Shekhovtsov, Patrick Knöbelreiter and Thomas Pock Scalable Full Flow with Learned Binary Descriptors Show publication in PURE
Erich Kobler, Teresa Klatzer, Kerstin Hammernik and Thomas Pock Variational Networks: Connecting Variational Methods and Deep Learning Pattern Recognition 281-293 Show publication in PURE
Yunjin Chen and Thomas Pock Trainable Nonlinear Reaction Diffusion Show publication in PURE
Christian Reinbacher, Gottfried Munda and Thomas Pock Real-time panoramic tracking for event cameras 2017 IEEE International Conference on Computational Photography, ICCP 2017 - Proceedings Show publication in PURE
Tuomo Valkonen and Thomas Pock Acceleration of the PDHGM on Partially Strongly Convex Functions Show publication in PURE
Stefan Heber, Wei Yu and Thomas Pock Neural EPI-Volume Networks for Shape from Light Field IEEE International Conference on Computer Vision (ICCV) Show publication in PURE
Magdalena Krieber, Katrin D. Bartl-Pokorny, Florian B. Pokorny, Dajie Zhang, Karin Landerl, Christof Körner, Franz Pernkopf, Thomas Pock, Christa Einspieler and Peter B. Marschik Eye Movements during silent and oral reading in a regular orthography Show publication in PURE
, Peter B Marschik, Florian B Pokorny, Robert Peharz, Dajie Zhang, Jonathan O'Muircheartaigh, Herbert Roeyers, Sven Bölte, Alicia J Spittle, Berndt Urlesberger, Björn Schuller, Luise Poustka, Sally Ozonoff, Franz Pernkopf, Thomas Pock, Kristiina Tammimies, Christian Enzinger, Magdalena Krieber, Iris Tomantschger, Katrin D Bartl-Pokorny, Jeff Sigafoos, Laura Roche, Gianluca Esposito, Markus Gugatschka, Karin Nielsen-Saines, Christa Einspieler and Walter E Kaufmann A Novel Way to Measure and Predict Development Show publication in PURE
Thomas Pock and Chambolle Antonin On the ergodic convergence rates of a first-order primaldual algorithm Show publication in PURE
Kerstin Hammernik, Florian Knoll, Daniel Sodickson and Thomas Pock Learning a Variational Model for Compressed Sensing MRI Reconstruction Proceedings of the International Society of Magnetic Resonance in Medicine (ISMRM) Show publication in PURE
Oleksandr Shekhovtsov, Christian Reinbacher, Gottfried Graber and Thomas Pock Solving Dense Image Matching in Real-Time using Discrete-Continuous Optimization Show publication in PURE
Teresa Klatzer, Kerstin Hammernik, Patrick Knöbelreiter and Thomas Pock Learning Joint Demosaicing and Denoising Based on Sequential Energy Minimization IEEE International Conference on Computational Photography (ICCP) Show publication in PURE
Maros Blaha, Christoph Vogel, Audrey Richard, Jan Wegner, Konrad Schindler and Thomas Pock Large-Scale Semantic 3D Reconstruction: an Adaptive Multi-Resolution Model for Multi-Class Volumetric Labeling Computer Vision and Pattern Recognition 3176-3184 Show publication in PURE
Stefan Heber and Thomas Pock Convolutional Networks for Shape from Light Field IEEE Conference on Computer Vision and Pattern Recognition (2016) Show publication in PURE
Christian Reinbacher, Gottfried Graber and Thomas Pock Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisation Show publication in PURE
Stefan Heber, Wei Yu and Thomas Pock U-shaped Networks for Shape from Light Field British Machine Vision Conference, BMVC 2016 Show publication in PURE
Vladimir Kolmogorov, Thomas Pock and Michal Rolinek Total variation on a tree Show publication in PURE
Thomas Pock and Shoham Sabach Inertial proximal alternating linearized minimization (iPALM) for nonconvex and nonsmooth problems Show publication in PURE
Patrick Knöbelreiter, Christian Reinbacher, Alexander Shekhovtsov and Thomas Pock End-to-End Training of Hybrid CNN-CRF Models for Stereo Show publication in PURE
Thomas Pock, B. Wirth and K. Bredies A convex, lower semi-continuous approximation of euler’s elastica energy Show publication in PURE
W. Pötzi, A. M. Veronig, Gernot Riegler, U. Amerstorfer, Thomas Pock, M. Temmer, W. Polanee and D. J. Baumgartner Real-time flare detection in ground-based Ha imaging at Kanzelhöhe Observatory Show publication in PURE
Gernot Riegler and Thomas Pock Real-time flare detection in ground-based hα imaging at kanzelhhe observatory Show publication in PURE
Kerstin Hammernik, Thomas Ebner, Darko Stern, Martin Urschler and Thomas Pock Vertebrae Segmentation in 3D CT Images based on a Variational FrameworkRecent Advances in Computational Methods and Clinical Applications for Spine Imaging and Clinical Applications for Spine Imaging227-233 Show publication in PURE
Wei Yu, Stefan Heber and Thomas Pock Learning Reaction-Diffusion Models for Image Inpainting Pattern Recognition 356-367 Show publication in PURE
Yunjin Chen, Wei Yu and Thomas Pock On learning optimized reaction diffusion processes for effective image restoration International Conference on Computer Vision Show publication in PURE
Gernot Riegler, Rene Ranftl, Matthias Rüther, Thomas Pock and Horst Bischof Depth Restoration via Joint Training of a Global Regression Model and CNNs British Machine Vision Conference Show publication in PURE
Peter Ochs, Rene Ranftl, Thomas Brox and Thomas Pock Bilevel optimization with nonsmooth lower level problems Proceedings of SSVM 2015 Show publication in PURE
Gottfried Graber, Thomas Pock, Stefano Soatto and Jonathan Balzer Efficient Minimal-Surface Regularization of Perspective Depth Maps in Variational Stereo The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 511-520 Show publication in PURE
Teresa Klatzer and Thomas Pock Continuous Hyper-parameter Learning for Support Vector Machines Computer Vision Winter Workshop Show publication in PURE
Yunjin Chen, Wensen Feng, Rene Ranftl, Hong Qiao and Thomas Pock A higher-order MRF based variational model for multiplicative noise reduction Show publication in PURE
Peter Ochs, Thomas Brox, Alexey Dosovitskiy and Thomas Pock An iteratively reweighted Algorithm for Non-smooth Non-convex Optimization in Computer Vision Show publication in PURE
Yunjin Chen, Rene Ranftl and Thomas Pock Insights into analysis operator learning: From patch-based sparse models to higher-order MRFs Show publication in PURE
Peter Ochs, Thomas Brox and Thomas Pock iPiasco: Inertial Proximal Algorithm for strongly convex Optimization Show publication in PURE
Peter Ochs, Yunjin Chen, Thomas Brox and Thomas Pock iPiano: Inertial Proximal Algorithm for Non-Convex Optimization Show publication in PURE
Stefan Heber and Thomas Pock Scene Flow Estimation from Light Fields via the Preconditioned Primal-Dual Algorithm Pattern Recognition: 36th German Conference, GCPR 2014, M{\"u}nster, Germany, September 2-5, 2014, Proceedings 3-14 Show publication in PURE
Rene Ranftl, Kristian Bredie and Thomas Pock Non-Local Total Generalized Variation for Optical Flow Estimation European Conference on Computer Vision Show publication in PURE
Rene Ranftl and Thomas Pock A Deep Variational Model for Image Segmentation DAGM Symposium Mustererkennung Show publication in PURE
Stefan Heber and Thomas Pock Shape from Light Field meets Robust PCA Computer Vision -- ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part VI 751-767 Show publication in PURE
Martin Urschler, Gerd Leitinger and Thomas Pock Interactive 2D/3D Image Denoising and Segmentation Tool for Medical Applications Proceedings MICCAI Workshop Interactive Medical Image Computation (IMIC) Show publication in PURE
Wei Yu and Thomas Pock A Comparison of First-order Algorithms for Machine Learning ÖAGM-Meeting Show publication in PURE
Yunjin Chen, Rene Ranftl and Thomas Pock A bi-level view of inpainting - based image compression Computer Vision Winter Workshop Show publication in PURE
Kerstin Hammernik, Thomas Ebner, Darko Stern, Martin Urschler and Thomas Pock Vertebrae Segmentation in 3D CT Images based on a Variational Framework Proceedings 2nd MICCAI Workshop & Challenge Computational Methods and Clinical Applications in Spine Imaging (CSI) 200-207 Show publication in PURE
Rene Ranftl, Thomas Pock and Horst Bischof Minimizing TGV-Based Variational Models with Non-convex Data Terms 4th International Conference, SSVM 2013, Schloss Seggau, Leibnitz, Austria, June 2-6, 2013. 282-293 Show publication in PURE
Yunjin Chen, Thomas Pock, Rene Ranftl and Horst Bischof Revisiting loss-specific training of filter-based MRFs for image restoration 35th German Conference, GCPR 2013, Proceedings 271-281 Show publication in PURE
Arjan Kuijper, Thomas Pock, Kristian Bredies and Horst Bischof Scale Space and Variational Methods in Computer Vision: 4th International Conference, SSVM 2013, Schloss Seggau, Leibnitz, Austria, June 2-6, 2013. Proceedings Show publication in PURE
Stefan Heber, Rene Ranftl and Thomas Pock Variational Shape from Light Field Energy Minimization Methods in Computer Vision and Pattern Recognition 66-79 Show publication in PURE
Yunjin Chen, Thomas Pock and Horst Bischof Learning l1-based analysis and synthesis sparsity priors using bi-level optimization Show publication in PURE
Thomas Pock On paramter learning in variational models International Symposium on Mathematical Programming Show publication in PURE
Markus Unger, Manuel Werlberger, Thomas Pock and Horst Bischof Joint motion estimation and segmentation of complex scenes with label costs and occlusion modeling Conference on Computer Vision and Pattern Recognition 1878-1885 Show publication in PURE
Stefan Heber, Rene Ranftl and Thomas Pock Approximate Envelope Minimization Computer Vision Winter Workshop 1-8 Show publication in PURE
Stefan Heber, Rene Ranftl and Thomas Pock Approximate Envelope Minimization for Curvature Regularity Computer Vision -- ECCV 2012. Workshops and Demonstrations 283-292 Show publication in PURE
Rene Ranftl, Stefan Gehring, Thomas Pock and Horst Bischof Pushing the Limits of Stereo Using Variational Stereo Estimation Proceedings of IV 2012 401-407 Show publication in PURE
Arnold Irschara, Markus Rumpler, Philipp Meixner, Thomas Pock and Horst Bischof Efficient and Globally Optimal Multi View Dense Matching for Aerial Images Congress / International Society for Photogrammetry and Remote Sensing 227-232 Show publication in PURE
Andreas Wendel, Michael Maurer, Gottfried Graber, Thomas Pock and Horst Bischof Dense Reconstruction On-the-Fly Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 1450-1457 Show publication in PURE
Axel Pinz, Thomas Pock, Horst Bischof and Franz Leberl Pattern Recognition978-3-642-32717-9 Show publication in PURE
Axel Pinz, Thomas Pock, Horst Bischof and Franz Leberl Joint 34th DAGM and 36th OAGM Symposium Show publication in PURE
Florian Knoll, Kristian Bredies, Thomas Pock and Rudolf Stollberger Second Order Total Generalized Variation (TGV) for MRI Show publication in PURE
Gottfried Graber, Thomas Pock and Horst Bischof Online 3D reconstruciton using Convex Optimization Proceedings of ICCV 2011 Show publication in PURE
Manuel Werlberger, Thomas Pock, Markus Unger and Horst Bischof Optical Flow Guided TV-L1 Video Interpolation and Restoration Proceedings of EMMCVPR 2011 273-286 Show publication in PURE
Markus Unger, Thomas Pock and Horst Bischof Global Relabeling for Continuous Optimization in Binary Image Segmentation Proceedings of EMMCVPR 2011 Show publication in PURE
Manuel Werlberger, Markus Unger, Thomas Pock and Horst Bischof Efficient Minimization of the Non-Local Potts Model Proceedings of SSVM 2011 314-325 Show publication in PURE
Thomas Pock and Antonin Chambolle Diagonal preconditioning for first order primal-dual algorithms in convex optimization Proceedings of ICCV 2011 Show publication in PURE
Franz Leberl, Horst Bischof, Thomas Pock, Arnold Irschara and Stefan Kluckner Aerial Computer Vision for a 3D Virtual Habitat Show publication in PURE
Florian Knoll, Kristian Bredies, Thomas Pock and Rudolf Stollberger Second Order Total Generalized Variation (TGV) for MRI Show publication in PURE
Franz Leberl, Arnold Irschara, Thomas Pock, Philipp Meixner, Michael Gruber, S. Scholz and A. Wiechert Point Clouds: Lidar versus 3D Vision Show publication in PURE
Florian Knoll, Markus Unger, Clemens Diwoky, Christian Clason, Thomas Pock and Rudolf Stollberger Fast reduction of undersampling artifacts in radial MR angiography with 3D total variation on graphics hardware Show publication in PURE
Manuel Werlberger, Thomas Pock and Horst Bischof Motion Estimation with Non-Local Total Variation Regularization Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR) 2010 2464-2471 Show publication in PURE
Stefan Kluckner, Thomas Pock and Horst Bischof Exploiting Redundancy for Aerial Image Fusion using Convex Optimization Proceedings for DAGM 2010 303-312 Show publication in PURE
Amir Saffari, Martin Godec, Thomas Pock, Christian Leistner and Horst Bischof Online Multi-Class LPBoost Proceedings for CVPR 2010 3570-3577 Show publication in PURE
Jakob Santner, Thomas Pock and Horst Bischof Interactive Multi-Label Segmentation Asian Conference on Computer Vision 392-405 Show publication in PURE
Sasa Grbic, Martin Urschler, Thomas Pock and Horst Bischof Optical flow based deformable volume registration using a novel second-order regularization prior Proc. SPIE 7623, Medical Imaging 2010: Image Processing Show publication in PURE
Markus Unger, Thomas Pock, Manuel Werlberger and Horst Bischof A Convex Approach for Variational Super-Resolution Proceedings of DAGM 2010 313-322 Show publication in PURE
Christian Reinbacher, Thomas Pock, Christian Bauer and Horst Bischof Variational Segmentation of Elongated Volumetric Structures IEEE Proceedings of Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2010) 3177-3184 Show publication in PURE
Florian Knoll, Kristian Bredies, Thomas Pock and Rudolf Stollberger Total Generalized Variation (TGV) for MRI 2010 Proc. Intl. Soc. Mag. Reson. Med. 4855-4855 Show publication in PURE
Stefan Kluckner, Markus Unger, Thomas Pock and Horst Bischof Large-Scale Semantic Classification and Ortho-Image Fusion Proceedings of BMVA Meeting Aerial Image Recognition and Classification 2010 110-114 Show publication in PURE
Jakob Santner, Christian Leistner, Amir Saffari, Thomas Pock and Horst Bischof PROST: Parallel Robust Online Simple Tracking Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR) 2010 723-730 Show publication in PURE
Contact
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     Thomas Pock     
Inffeldgasse 16/II
8010 Graz, Austria
mail:  pocknoSpam@icg.tugraz.at
phone:  +43 316 873-5056