2020

Alexander Effland, Erich Kobler, Karl Kunisch and Thomas Pock Variational Networks: An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
Erich Kobler, Alexander Effland, Karl Kunisch and Thomas Pock Total Deep Variation for Linear Inverse Problems Publikation in PURE anzeigen
Antonin Chambolle and Thomas Pock Learning Consistent Discretizations of the Total Variation Publikation in PURE anzeigen
Antonin Chambolle, Thomas Pock and Martin Holler A convex variational model for learning convolutional image atoms from incomplete data Publikation in PURE anzeigen
Mahesh Chandra Mukkamala, Peter Ochs, Thomas Pock and Shoham Sabach Convex-Concave backtracking for inertial Bregman proximal gradient algorithms in nonconvex optimization Publikation in PURE anzeigen
Erich Kobler, Alexander Effland, Thomas Pock, Baiyu Chen and Daniel Sodickson Total Deep Variation for SparseCT Reconstruction Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
Thomas Pinetz, Erich Kobler, Thomas Pock and Alexander Effland Shared Prior Learning of Energy-Based Models for Image Reconstruction Publikation in PURE anzeigen
Erich Kobler, Thomas Pock, Alexander Effland and Karl Kunisch Total Deep Variation: A Stable Regularizer for Inverse Problems Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
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 Publikation in PURE anzeigen

2019

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 Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
Dominik Narnhofer, Kerstin Hammernik, Florian Knoll and Thomas Pock Inverse GANs for accelerated MRI reconstruction Wavelets and Sparsity XVIII Publikation in PURE anzeigen
Patrick Knöbelreiter and Thomas Pock Learned Collaborative Stereo Refinement German Conference on Pattern Recognition 3-17 Publikation in PURE anzeigen
Thomas Pinetz, Daniel Soukup and Thomas Pock On the estimation of the Wasserstein distance in generative models German Conference on Pattern Recognition 156-170 Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
Chambolle Antonin and Thomas Pock Total roto-translational variation Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
Peter Ochs and Thomas Pock Adaptive FISTA for nonconvex optimization Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
Mahesh Chandra Mukkamala, Peter Ochs, Thomas Pock and Shoham Sabach Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Non-Convex Optimization Publikation in PURE anzeigen
KS Kumar, Francis Bach and Thomas Pock Fast Decomposable Submodular Function Minimization using Constrained Total Variation Publikation in PURE anzeigen
Alexander Effland, Erich Kobler, Thomas Pock, Marko Rajkovic and Martin Rumpf Image Morphing in Deep Feature Spaces: Theory and Applications Publikation in PURE anzeigen

2018

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 Publikation in PURE anzeigen
Thomas Andreas Grandits and Thomas Pock Optimizing Wavelet Bases for Sparser Representations Energy Minimization Methods in Computer Vision and Pattern Recognition 249-262 Publikation in PURE anzeigen
Markus Hofinger, Thomas Pock and Thomas Moosbrugger Robust Deformation Estimation in Wood-Composite Materials using Variational Optical Flow Publikation in PURE anzeigen
Katrin Lasinger, Christoph Vogel, Konrad Schindler and Thomas Pock Variational 3D-PIV with sparse descriptors Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
Christoph Vogel, Patrick Knöbelreiter and Thomas Pock Learning Energy Based Inpainting for Optical Flow Publikation in PURE anzeigen
Patrick Knöbelreiter, Christoph Vogel and Thomas Pock Self-Supervised Learning for Stereo Reconstruction on Aerial Images Publikation in PURE anzeigen
Y. Malitsky and Thomas Pock A First-Order Primal-Dual Algorithm with Linesearch Publikation in PURE anzeigen
D. Antensteiner, S. Stolc and Thomas Pock A Review of Depth and Normal Fusion Algorithms Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
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) Publikation in PURE anzeigen
G. Munda, C. Reinbacher and T. Pock Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisation Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
Kerstin Hammernik, Erich Kobler, Thomas Pock, Michael P Recht, Daniel K Sodickson and Florian Knoll Variational Adversarial Networks for Accelerated MR Image Reconstruction Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
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 Publikation in PURE anzeigen

2017

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. Publikation in PURE anzeigen
Aleksander Colovic, Patrick Knöbelreiter, Alexander Shekhovtsov and Thomas Pock End-to-End Training of Hybrid CNN-CRF Models for Semantic Segmentation using Structured Learning Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
Kerstin Hammernik, Thomas Pock and Robert Nuster Variational Photoacoustic Image Reconstruction with Spatially Resolved Projection Data Proceedings Volume 10064, Photons Plus Ultrasound Publikation in PURE anzeigen
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) Publikation in PURE anzeigen
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) Publikation in PURE anzeigen
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) Publikation in PURE anzeigen
Christoph Vogel and Thomas Pock A Primal Dual Network for Low-Level Vision Problems German Conference on Pattern Recognition, 2017 Publikation in PURE anzeigen
Christoph Vogel, Audrey Richard, Thomas Pock and Konrad Schindler Semantic 3D Reconstruction with Finite Element Bases 28th British Machine Vision Conference Publikation in PURE anzeigen
Teresa Klatzer, Daniel Soukup, Erich Kobler, Kerstin Hammernik and Thomas Pock Trainable Regularization for Multi-frame Superresolution Pattern Recognition 90-100 Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
Gottfried Munda, Alexander Shekhovtsov, Patrick Knöbelreiter and Thomas Pock Scalable Full Flow with Learned Binary Descriptors Publikation in PURE anzeigen
Erich Kobler, Teresa Klatzer, Kerstin Hammernik and Thomas Pock Variational Networks: Connecting Variational Methods and Deep Learning Pattern Recognition 281-293 Publikation in PURE anzeigen
Yunjin Chen and Thomas Pock Trainable Nonlinear Reaction Diffusion Publikation in PURE anzeigen
Christian Reinbacher, Gottfried Munda and Thomas Pock Real-time panoramic tracking for event cameras 2017 IEEE International Conference on Computational Photography, ICCP 2017 - Proceedings Publikation in PURE anzeigen
Tuomo Valkonen and Thomas Pock Acceleration of the PDHGM on Partially Strongly Convex Functions Publikation in PURE anzeigen
Stefan Heber, Wei Yu and Thomas Pock Neural EPI-Volume Networks for Shape from Light Field IEEE International Conference on Computer Vision (ICCV) Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
, 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 Publikation in PURE anzeigen

2016

Thomas Pock and Chambolle Antonin On the ergodic convergence rates of a first-order primaldual algorithm Publikation in PURE anzeigen
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) Publikation in PURE anzeigen
Oleksandr Shekhovtsov, Christian Reinbacher, Gottfried Graber and Thomas Pock Solving Dense Image Matching in Real-Time using Discrete-Continuous Optimization Publikation in PURE anzeigen
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) Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
Stefan Heber and Thomas Pock Convolutional Networks for Shape from Light Field IEEE Conference on Computer Vision and Pattern Recognition (2016) Publikation in PURE anzeigen
Christian Reinbacher, Gottfried Graber and Thomas Pock Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisation Publikation in PURE anzeigen
Stefan Heber, Wei Yu and Thomas Pock U-shaped Networks for Shape from Light Field British Machine Vision Conference, BMVC 2016 Publikation in PURE anzeigen
Vladimir Kolmogorov, Thomas Pock and Michal Rolinek Total variation on a tree Publikation in PURE anzeigen
Thomas Pock and Shoham Sabach Inertial proximal alternating linearized minimization (iPALM) for nonconvex and nonsmooth problems Publikation in PURE anzeigen
Patrick Knöbelreiter, Christian Reinbacher, Alexander Shekhovtsov and Thomas Pock End-to-End Training of Hybrid CNN-CRF Models for Stereo Publikation in PURE anzeigen

older

2015
Thomas Pock, B. Wirth and K. Bredies A convex, lower semi-continuous approximation of euler’s elastica energy Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
Gernot Riegler and Thomas Pock Real-time flare detection in ground-based hα imaging at kanzelhhe observatory Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
Wei Yu, Stefan Heber and Thomas Pock Learning Reaction-Diffusion Models for Image Inpainting Pattern Recognition 356-367 Publikation in PURE anzeigen
Yunjin Chen, Wei Yu and Thomas Pock On learning optimized reaction diffusion processes for effective image restoration International Conference on Computer Vision Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
Peter Ochs, Rene Ranftl, Thomas Brox and Thomas Pock Bilevel optimization with nonsmooth lower level problems Proceedings of SSVM 2015 Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
Teresa Klatzer and Thomas Pock Continuous Hyper-parameter Learning for Support Vector Machines Computer Vision Winter Workshop Publikation in PURE anzeigen
2014
Yunjin Chen, Wensen Feng, Rene Ranftl, Hong Qiao and Thomas Pock A higher-order MRF based variational model for multiplicative noise reduction Publikation in PURE anzeigen
Peter Ochs, Thomas Brox, Alexey Dosovitskiy and Thomas Pock An iteratively reweighted Algorithm for Non-smooth Non-convex Optimization in Computer Vision Publikation in PURE anzeigen
Yunjin Chen, Rene Ranftl and Thomas Pock Insights into analysis operator learning: From patch-based sparse models to higher-order MRFs Publikation in PURE anzeigen
Peter Ochs, Thomas Brox and Thomas Pock iPiasco: Inertial Proximal Algorithm for strongly convex Optimization Publikation in PURE anzeigen
Peter Ochs, Yunjin Chen, Thomas Brox and Thomas Pock iPiano: Inertial Proximal Algorithm for Non-Convex Optimization Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
Rene Ranftl, Kristian Bredie and Thomas Pock Non-Local Total Generalized Variation for Optical Flow Estimation European Conference on Computer Vision Publikation in PURE anzeigen
Rene Ranftl and Thomas Pock A Deep Variational Model for Image Segmentation DAGM Symposium Mustererkennung Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
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) Publikation in PURE anzeigen
Wei Yu and Thomas Pock A Comparison of First-order Algorithms for Machine Learning ÖAGM-Meeting Publikation in PURE anzeigen
Yunjin Chen, Rene Ranftl and Thomas Pock A bi-level view of inpainting - based image compression Computer Vision Winter Workshop Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
2013
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 Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
Stefan Heber, Rene Ranftl and Thomas Pock Variational Shape from Light Field Energy Minimization Methods in Computer Vision and Pattern Recognition 66-79 Publikation in PURE anzeigen
2012
Yunjin Chen, Thomas Pock and Horst Bischof Learning l1-based analysis and synthesis sparsity priors using bi-level optimization Publikation in PURE anzeigen
Thomas Pock On paramter learning in variational models International Symposium on Mathematical Programming Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
Stefan Heber, Rene Ranftl and Thomas Pock Approximate Envelope Minimization Computer Vision Winter Workshop 1-8 Publikation in PURE anzeigen
Stefan Heber, Rene Ranftl and Thomas Pock Approximate Envelope Minimization for Curvature Regularity Computer Vision -- ECCV 2012. Workshops and Demonstrations 283-292 Publikation in PURE anzeigen
Rene Ranftl, Stefan Gehring, Thomas Pock and Horst Bischof Pushing the Limits of Stereo Using Variational Stereo Estimation Proceedings of IV 2012 401-407 Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
Axel Pinz, Thomas Pock, Horst Bischof and Franz Leberl Pattern Recognition978-3-642-32717-9 Publikation in PURE anzeigen
Axel Pinz, Thomas Pock, Horst Bischof and Franz Leberl Joint 34th DAGM and 36th OAGM Symposium Publikation in PURE anzeigen
2011
Florian Knoll, Kristian Bredies, Thomas Pock and Rudolf Stollberger Second Order Total Generalized Variation (TGV) for MRI Publikation in PURE anzeigen
Gottfried Graber, Thomas Pock and Horst Bischof Online 3D reconstruciton using Convex Optimization Proceedings of ICCV 2011 Publikation in PURE anzeigen
Manuel Werlberger, Thomas Pock, Markus Unger and Horst Bischof Optical Flow Guided TV-L1 Video Interpolation and Restoration Proceedings of EMMCVPR 2011 273-286 Publikation in PURE anzeigen
Markus Unger, Thomas Pock and Horst Bischof Global Relabeling for Continuous Optimization in Binary Image Segmentation Proceedings of EMMCVPR 2011 Publikation in PURE anzeigen
Manuel Werlberger, Markus Unger, Thomas Pock and Horst Bischof Efficient Minimization of the Non-Local Potts Model Proceedings of SSVM 2011 314-325 Publikation in PURE anzeigen
Thomas Pock and Antonin Chambolle Diagonal preconditioning for first order primal-dual algorithms in convex optimization Proceedings of ICCV 2011 Publikation in PURE anzeigen
2010
Franz Leberl, Horst Bischof, Thomas Pock, Arnold Irschara and Stefan Kluckner Aerial Computer Vision for a 3D Virtual Habitat Publikation in PURE anzeigen
Florian Knoll, Kristian Bredies, Thomas Pock and Rudolf Stollberger Second Order Total Generalized Variation (TGV) for MRI Publikation in PURE anzeigen
Franz Leberl, Arnold Irschara, Thomas Pock, Philipp Meixner, Michael Gruber, S. Scholz and A. Wiechert Point Clouds: Lidar versus 3D Vision Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
Stefan Kluckner, Thomas Pock and Horst Bischof Exploiting Redundancy for Aerial Image Fusion using Convex Optimization Proceedings for DAGM 2010 303-312 Publikation in PURE anzeigen
Amir Saffari, Martin Godec, Thomas Pock, Christian Leistner and Horst Bischof Online Multi-Class LPBoost Proceedings for CVPR 2010 3570-3577 Publikation in PURE anzeigen
Jakob Santner, Thomas Pock and Horst Bischof Interactive Multi-Label Segmentation Asian Conference on Computer Vision 392-405 Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
Markus Unger, Thomas Pock, Manuel Werlberger and Horst Bischof A Convex Approach for Variational Super-Resolution Proceedings of DAGM 2010 313-322 Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
Florian Knoll, Kristian Bredies, Thomas Pock and Rudolf Stollberger Total Generalized Variation (TGV) for MRI 2010 Proc. Intl. Soc. Mag. Reson. Med. 4855-4855 Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
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