Liver segment approximation in CT data for surgical resection planning. - Reinhard Beichel; Thomas Pock; Christian Janko; Roman B. Zotter; Bernhard Reitinger; Alexander Bornik; Kálmán Palágyi; Erich Sorantin; Georg Werkgartner; Horst Bischof; Milan Sonka (Image Processing, 2004)

A Novel Robust Tube Detection Filter for 3D Centerline Extraction. - Thomas Pock; Reinhard Beichel; Horst Bischof (SCIA, 2005)

A Probabilistic Multi-phase Model for Variational Image Segmentation. - Thomas Pock; Horst Bischof (DAGM-Symposium, 2006)

Mumford-Shah Meets Stereo: Integration of Weak Depth Hypotheses. - Thomas Pock; Christopher Zach; Horst Bischof (CVPR, 2007)

A Duality Based Approach for Realtime TV-L1 Optical Flow. - Christopher Zach; Thomas Pock; Horst Bischof (DAGM-Symposium, 2007)

A Globally Optimal Algorithm for Robust TV-L1 Range Image Integration. - Christopher Zach; Thomas Pock; Horst Bischof (ICCV, 2007)

A Duality Based Algorithm for TV- L 1-Optical-Flow Image Registration. - Thomas Pock; Martin Urschler; Christopher Zach; Reinhard Beichel; Horst Bischof (MICCAI (2), 2007)

Algorithmic Differentiation: Application to Variational Problems in Computer Vision. - Thomas Pock; Michael Pock; Horst Bischof (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

TVSeg - Interactive Total Variation Based Image Segmentation. - Markus Unger; Thomas Pock; Werner Trobin; Daniel Cremers; Horst Bischof (BMVC, 2008)

Fast and exact solution of Total Variation models on the GPU. - Thomas Pock; Markus Unger; Daniel Cremers; Horst Bischof (CVPR Workshops, 2008)

An Unbiased Second-Order Prior for High-Accuracy Motion Estimation. - Werner Trobin; Thomas Pock; Daniel Cremers; Horst Bischof (DAGM-Symposium, 2008)

An Improved Algorithm for TV-L 1 Optical Flow. - Andreas Wedel; Thomas Pock; Christopher Zach; Horst Bischof; Daniel Cremers (Statistical and Geometrical Approaches to Visual Motion Analysis, 2008)

A Convex Formulation of Continuous Multi-label Problems. - Thomas Pock; Thomas Schoenemann; Gottfried Graber; Horst Bischof; Daniel Cremers (ECCV (3), 2008)

Continuous Energy Minimization Via Repeated Binary Fusion. - Werner Trobin; Thomas Pock; Daniel Cremers; Horst Bischof (ECCV (4), 2008)

Interactive Texture Segmentation using Random Forests and Total Variation. - Jakob Santner; Markus Unger; Thomas Pock; Christian Leistner; Amir Saffari; Horst Bischof (BMVC, 2009)

Anisotropic Huber-L1 Optical Flow. - Manuel Werlberger; Werner Trobin; Thomas Pock; Andreas Wedel; Daniel Cremers; Horst Bischof (BMVC, 2009)

A convex relaxation approach for computing minimal partitions. - Thomas Pock; Antonin Chambolle; Daniel Cremers; Horst Bischof (CVPR, 2009)

Video Super Resolution Using Duality Based TV-L1 Optical Flow. - Dennis Mitzel; Thomas Pock; Thomas Schoenemann; Daniel Cremers (DAGM-Symposium, 2009)

Tracking as Segmentation of Spatial-Temporal Volumes by Anisotropic Weighted TV. - Markus Unger; Thomas Mauthner; Thomas Pock; Horst Bischof (EMMCVPR, 2009)

An algorithm for minimizing the Mumford-Shah functional. - Thomas Pock; Daniel Cremers; Horst Bischof; Antonin Chambolle (ICCV, 2009)

Large displacement optical flow computation withoutwarping. - Frank Steinbrücker; Thomas Pock; Daniel Cremers (ICCV, 2009)

Structure- and motion-adaptive regularization for high accuracy optic flow. - Andreas Wedel; Daniel Cremers; Thomas Pock; Horst Bischof (ICCV, 2009)

A Variational Approach to Semiautomatic Generation of Digital Terrain Models. - Markus Unger; Thomas Pock; Markus Grabner; Andreas Klaus; Horst Bischof (ISVC (2), 2009)

A Variational Model for Interactive Shape Prior Segmentation and Real-Time Tracking. - Manuel Werlberger; Thomas Pock; Markus Unger; Horst Bischof (SSVM, 2009)

Variational Optical Flow from Alternate Exposure Images. - Anita Sellent; Martin Eisemann; Bastian Goldlücke; Thomas Pock; Daniel Cremers; Marcus A. Magnor (VMV, 2009)

Advanced Data Terms for Variational Optic Flow Estimation. - Frank Steinbrücker; Thomas Pock; Daniel Cremers (VMV, 2009)

Interactive Multi-label Segmentation. - Jakob Santner; Thomas Pock; Horst Bischof (ACCV (1), 2010)

Variational segmentation of elongated volumetric structures. - Christian Reinbacher; Thomas Pock; Christian Bauer 001; Horst Bischof (CVPR, 2010)

Online multi-class LPBoost. - Amir Saffari; Martin Godec; Thomas Pock; Christian Leistner; Horst Bischof (CVPR, 2010)

PROST: Parallel robust online simple tracking. - Jakob Santner; Christian Leistner; Amir Saffari; Thomas Pock; Horst Bischof (CVPR, 2010)

Motion estimation with non-local total variation regularization. - Manuel Werlberger; Thomas Pock; Horst Bischof (CVPR, 2010)

Exploiting Redundancy for Aerial Image Fusion Using Convex Optimization. - Stefan Kluckner; Thomas Pock; Horst Bischof (DAGM-Symposium, 2010)

A Convex Approach for Variational Super-Resolution. - Markus Unger; Thomas Pock; Manuel Werlberger; Horst Bischof (DAGM-Symposium, 2010)

Anisotropic Minimal Surfaces Integrating Photoconsistency and Normal Information for Multiview Stereo. - Kalin Kolev; Thomas Pock; Daniel Cremers (ECCV (3), 2010)

Optical flow based deformable volume registration using a novel second-order regularization prior. - Sasa Grbic; Martin Urschler; Thomas Pock; Horst Bischof (Image Processing, 2010)

Aerial Computer Vision for a 3D Virtual Habitat. - Franz Leberl; Horst Bischof; Thomas Pock; Arnold Irschara; Stefan Kluckner (Computer, 2010)

Segmentation of interwoven 3d tubular tree structures utilizing shape priors and graph cuts. - Christian Bauer 001; Thomas Pock; Erich Sorantin; Horst Bischof; Reinhard Beichel (Medical Image Anal., 2010)

Total Generalized Variation. - Kristian Bredies; Karl Kunisch; Thomas Pock (SIAM J. Imaging Sci., 2010)

Global Solutions of Variational Models with Convex Regularization. - Thomas Pock; Daniel Cremers; Horst Bischof; Antonin Chambolle (SIAM J. Imaging Sci., 2010)

TGV-Fusion. - Thomas Pock; Lukas Zebedin; Horst Bischof (Rainbow of Computer Science, 2011)

Global Relabeling for Continuous Optimization in Binary Image Segmentation. - Markus Unger; Thomas Pock; Horst Bischof (EMMCVPR, 2011)

Optical Flow Guided TV-L1 Video Interpolation and Restoration. - Manuel Werlberger; Thomas Pock; Markus Unger; Horst Bischof (EMMCVPR, 2011)

Diagonal preconditioning for first order primal-dual algorithms in convex optimization. - Thomas Pock; Antonin Chambolle (ICCV, 2011)

Online 3D reconstruction using convex optimization. - Gottfried Graber; Thomas Pock; Horst Bischof (ICCV Workshops, 2011)

Efficient Minimization of the Non-local Potts Model. - Manuel Werlberger; Markus Unger; Thomas Pock; Horst Bischof (SSVM, 2011)

Efficient Algorithms for Global Optimisation Methods in Computer Vision (Dagstuhl Seminar 11471). - Andrés Bruhn; Thomas Pock; Xue-Cheng Tai (Dagstuhl Reports, 2011)

A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging. - Antonin Chambolle; Thomas Pock (J. Math. Imaging Vis., 2011)

Joint motion estimation and segmentation of complex scenes with label costs and occlusion modeling. - Markus Unger; Manuel Werlberger; Thomas Pock; Horst Bischof (CVPR, 2012)

Dense reconstruction on-the-fly. - Andreas Wendel; Michael Maurer; Gottfried Graber; Thomas Pock; Horst Bischof (CVPR, 2012)

Approximate Envelope Minimization for Curvature Regularity. - Stefan Heber; René Ranftl; Thomas Pock (ECCV Workshops (3), 2012)

Pushing the limits of stereo using variational stereo estimation. - René Ranftl; Stefan Gehrig; Thomas Pock; Horst Bischof (Intelligent Vehicles Symposium, 2012)

A Convex Approach to Minimal Partitions. - Antonin Chambolle; Daniel Cremers; Thomas Pock (SIAM J. Imaging Sci., 2012)

An Iterated L1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision. - Peter Ochs; Alexey Dosovitskiy; Thomas Brox; Thomas Pock (CVPR, 2013)

Revisiting Loss-Specific Training of Filter-Based MRFs for Image Restoration. - Yunjin Chen; Thomas Pock; René Ranftl; Horst Bischof (GCPR, 2013)

Variational Shape from Light Field. - Stefan Heber; René Ranftl; Thomas Pock (EMMCVPR, 2013)

Minimizing TGV-Based Variational Models with Non-convex Data Terms. - René Ranftl; Thomas Pock; Horst Bischof (SSVM, 2013)

Filament and Flare Detection in Hα image sequences - Gernot Riegler; Thomas Pock; Werner Pötzi; Astrid Veronig (CoRR, 2013)

A Convex Approach for Image Hallucination - Peter Innerhofer; Thomas Pock (CoRR, 2013)

Convex Relaxation of a Class of Vertex Penalizing Functionals. - Kristian Bredies; Thomas Pock; Benedikt Wirth (J. Math. Imaging Vis., 2013)

Guest Editorial: Variational Models, Convex Analysis and Numerical Optimization in Mathematical Imaging. - Antonin Chambolle; Michael Hintermüller; Thomas Pock; Christoph Schnörr; Gabriele Steidl (J. Math. Imaging Vis., 2013)

A Bilevel Optimization Approach for Parameter Learning in Variational Models. - Karl Kunisch; Thomas Pock (SIAM J. Imaging Sci., 2013)

Scene Flow Estimation from Light Fields via the Preconditioned Primal-Dual Algorithm. - Stefan Heber; Thomas Pock (GCPR, 2014)

A Deep Variational Model for Image Segmentation. - René Ranftl; Thomas Pock (GCPR, 2014)

Shape from Light Field Meets Robust PCA. - Stefan Heber; Thomas Pock (ECCV (6), 2014)

Non-local Total Generalized Variation for Optical Flow Estimation. - René Ranftl; Kristian Bredies; Thomas Pock (ECCV (1), 2014)

Learning ℓ1-based analysis and synthesis sparsity priors using bi-level optimization. - Yunjin Chen; Thomas Pock; Horst Bischof (CoRR, 2014)

A bi-level view of inpainting - based image compression. - Yunjin Chen; René Ranftl; Thomas Pock (CoRR, 2014)

An accelerated forward-backward algorithm for monotone inclusions. - Dirk A. Lorenz; Thomas Pock (CoRR, 2014)

iPiano: Inertial Proximal Algorithm for Non-Convex Optimization. - Peter Ochs; Yunjin Chen; Thomas Brox; Thomas Pock (CoRR, 2014)

A Comparison of First-order Algorithms for Machine Learning. - Wei Yu 014; Thomas Pock (CoRR, 2014)

iPiano: Inertial Proximal Algorithm for Nonconvex Optimization. - Peter Ochs; Yunjin Chen; Thomas Brox; Thomas Pock (SIAM J. Imaging Sci., 2014)

A Higher-Order MRF Based Variational Model for Multiplicative Noise Reduction. - Yunjin Chen; WenSen Feng; René Ranftl; Hong Qiao; Thomas Pock (IEEE Signal Process. Lett., 2014)

Insights Into Analysis Operator Learning: From Patch-Based Sparse Models to Higher Order MRFs. - Yunjin Chen; René Ranftl; Thomas Pock (IEEE Trans. Image Process., 2014)

Depth Restoration via Joint Training of a Global Regression Model and CNNs. - Gernot Riegler; René Ranftl; Matthias Rüther; Thomas Pock; Horst Bischof (BMVC, 2015)

On learning optimized reaction diffusion processes for effective image restoration. - Yunjin Chen; Wei Yu 014; Thomas Pock (CVPR, 2015)

Efficient minimal-surface regularization of perspective depth maps in variational stereo. - Gottfried Graber; Jonathan Balzer; Stefano Soatto; Thomas Pock (CVPR, 2015)

Learning Reaction-Diffusion Models for Image Inpainting. - Wei Yu 014; Stefan Heber; Thomas Pock (GCPR, 2015)

Bilevel Optimization with Nonsmooth Lower Level Problems. - Peter Ochs; René Ranftl; Thomas Brox; Thomas Pock (SSVM, 2015)

Acceleration of the PDHGM on strongly convex subspaces. - Tuomo Valkonen; Thomas Pock (CoRR, 2015)

Guest Editorial: Scale Space and Variational Methods. - Arjan Kuijper; Thomas Pock; Kristian Bredies; Horst Bischof (J. Math. Imaging Vis., 2015)

An Inertial Forward-Backward Algorithm for Monotone Inclusions. - Dirk A. Lorenz; Thomas Pock (J. Math. Imaging Vis., 2015)

iPiasco: Inertial Proximal Algorithm for Strongly Convex Optimization. - Peter Ochs; Thomas Brox; Thomas Pock (J. Math. Imaging Vis., 2015)

On Iteratively Reweighted Algorithms for Nonsmooth Nonconvex Optimization in Computer Vision. - Peter Ochs; Alexey Dosovitskiy; Thomas Brox; Thomas Pock (SIAM J. Imaging Sci., 2015)

A Convex, Lower Semicontinuous Approximation of Euler's Elastica Energy. - Kristian Bredies; Thomas Pock; Benedikt Wirth (SIAM J. Math. Anal., 2015)

U-shaped Networks for Shape from Light Field. - Stefan Heber; Wei Yu 014; Thomas Pock (BMVC, 2016)

Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-resolution Model for Multi-class Volumetric Labeling. - Maros Blaha; Christoph Vogel; Audrey Richard; Jan Dirk Wegner; Thomas Pock; Konrad Schindler (CVPR, 2016)

Convolutional Networks for Shape from Light Field. - Stefan Heber; Thomas Pock (CVPR, 2016)

Learning joint demosaicing and denoising based on sequential energy minimization. - Teresa Klatzer; Kerstin Hammernik; Patrick Knöbelreiter; Thomas Pock (ICCP, 2016)

An introduction to continuous optimization for imaging. - Antonin Chambolle; Thomas Pock (Acta Numer., 2016)

Solving Dense Image Matching in Real-Time using Discrete-Continuous Optimization. - Alexander Shekhovtsov; Christian Reinbacher; Gottfried Graber; Thomas Pock (CoRR, 2016)

Inpainting-Based Image Compression (Dagstuhl Seminar 16462). - Christine Guillemot; Gerlind Plonka-Hoch; Thomas Pock; Joachim Weickert (Dagstuhl Reports, 2016)

Techniques for Gradient-Based Bilevel Optimization with Non-smooth Lower Level Problems. - Peter Ochs; René Ranftl; Thomas Brox; Thomas Pock (J. Math. Imaging Vis., 2016)

On the ergodic convergence rates of a first-order primal-dual algorithm. - Antonin Chambolle; Thomas Pock (Math. Program., 2016)

Total Variation on a Tree. - Vladimir Kolmogorov; Thomas Pock; Michal Rolínek (SIAM J. Imaging Sci., 2016)

Inertial Proximal Alternating Linearized Minimization (iPALM) for Nonconvex and Nonsmooth Problems. - Thomas Pock; Shoham Sabach (SIAM J. Imaging Sci., 2016)

A Deep Learning Architecture for Limited-Angle Computed Tomography Reconstruction. - Kerstin Hammernik; Tobias Würfl; Thomas Pock; Andreas K. Maier (Bildverarbeitung für die Medizin, 2017)

Semantic 3D Reconstruction with Finite Element Bases. - Audrey Richard; Christoph Vogel; Maros Blaha; Thomas Pock; Konrad Schindler (BMVC, 2017)

End-to-End Training of Hybrid CNN-CRF Models for Stereo. - Patrick Knöbelreiter; Christian Reinbacher; Alexander Shekhovtsov; Thomas Pock (CVPR, 2017)

Trainable Regularization for Multi-frame Superresolution. - Teresa Klatzer; Daniel Soukup; Erich Kobler; Kerstin Hammernik; Thomas Pock (GCPR, 2017)

Variational Networks: Connecting Variational Methods and Deep Learning. - Erich Kobler; Teresa Klatzer; Kerstin Hammernik; Thomas Pock (GCPR, 2017)

Scalable Full Flow with Learned Binary Descriptors. - Gottfried Munda; Alexander Shekhovtsov; Patrick Knöbelreiter; Thomas Pock (GCPR, 2017)

A Primal Dual Network for Low-Level Vision Problems. - Christoph Vogel; Thomas Pock (GCPR, 2017)

High-Precision 3D Sensing with Hybrid Light Field & Photometric Stereo Approach in Multi-Line Scan Framework. - Doris Antensteiner; Svorad Stolc; Kristián Valentín; Bernhard Blaschitz; Reinhold Huber-Mörk; Thomas Pock (IRIACV, 2017)

Optimizing Wavelet Bases for Sparser Representations. - Thomas Grandits; Thomas Pock (EMMCVPR, 2017)

Real-time panoramic tracking for event cameras. - Christian Reinbacher; Gottfried Munda; Thomas Pock (ICCP, 2017)

Neural EPI-Volume Networks for Shape from Light Field. - Stefan Heber; Wei Yu 014; Thomas Pock (ICCV, 2017)

Learning a Variational Network for Reconstruction of Accelerated MRI Data. - Kerstin Hammernik; Teresa Klatzer; Erich Kobler; Michael P. Recht; Daniel K. Sodickson; Thomas Pock; Florian Knoll (CoRR, 2017)

Acceleration of the PDHGM on Partially Strongly Convex Functions. - Tuomo Valkonen; Thomas Pock (J. Math. Imaging Vis., 2017)

Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration. - Yunjin Chen; Thomas Pock (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Learning Energy Based Inpainting for Optical Flow. - Christoph Vogel; Patrick Knöbelreiter; Thomas Pock (ACCV (6), 2018)

Variational Networks for Joint Image Reconstruction and Classification of Tumor Immune Cell Interactions in Melanoma Tissue Sections. - Alexander Effland; Michael Hölzel; Teresa Klatzer; Erich Kobler; Jennifer Landsberg; Leonie Neuhäuser; Thomas Pock; Martin Rumpf (Bildverarbeitung für die Medizin, 2018)

Variational Deep Learning for Low-Dose Computed Tomography. - Erich Kobler; Matthew J. Muckley; Baiyu Chen; Florian Knoll; Kerstin Hammernik; Thomas Pock; Daniel K. Sodickson; Ricardo Otazo (ICASSP, 2018)

Variational Fusion of Light Field and Photometric Stereo for Precise 3D Sensing within a Multi-Line Scan Framework. - Doris Antensteiner; Svorad Stolc; Thomas Pock (ICPR, 2018)

Self-Supervised Learning for Stereo Reconstruction on Aerial Images. - Patrick Knöbelreiter; Christoph Vogel; Thomas Pock (IGARSS, 2018)

Robust Deformation Estimation in Wood-Composite Materials using Variational Optical Flow. - Markus Hofinger; Thomas Pock; Thomas Moosbrugger (CoRR, 2018)

Variational 3D-PIV with Sparse Descriptors. - Katrin Lasinger; Christoph Vogel; Thomas Pock; Konrad Schindler (CoRR, 2018)

Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisation. - Gottfried Munda; Christian Reinbacher; Thomas Pock (Int. J. Comput. Vis., 2018)

A Review of Depth and Normal Fusion Algorithms. - Doris Antensteiner; Svorad Stolc; Thomas Pock (Sensors, 2018)

A First-Order Primal-Dual Algorithm with Linesearch. - Yura Malitsky; Thomas Pock (SIAM J. Optim., 2018)

On the Estimation of the Wasserstein Distance in Generative Models. - Thomas Pinetz; Daniel Soukup; Thomas Pock (GCPR, 2019)

Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions. - Patricia M. Johnson; Matthew J. Muckley; Mary Bruno; Erich Kobler; Kerstin Hammernik; Thomas Pock; Florian Knoll (MLMIR@MICCAI, 2019)

Fast Decomposable Submodular Function Minimization using Constrained Total Variation. - Senanayak Sesh Kumar Karri; Francis R. Bach; Thomas Pock (NeurIPS, 2019)

Time Discrete Geodesics in Deep Feature Spaces for Image Morphing. - Alexander Effland; Erich Kobler; Thomas Pock; Martin Rumpf (SSVM, 2019)

Joint reconstruction and classification of tumor cells and cell interactions in melanoma tissue sections with synthesized training data. - Alexander Effland; Erich Kobler; Anne Brandenburg; Teresa Klatzer; Leonie Neuhäuser; Michael Hölzel; Jennifer Landsberg; Thomas Pock; Martin Rumpf (Int. J. Comput. Assist. Radiol. Surg., 2019)

Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction. - Florian Knoll; Kerstin Hammernik; Chi Zhang 057; Steen Moeller; Thomas Pock; Daniel K. Sodickson; Mehmet Akçakaya (CoRR, 2019)

Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Non-Convex Optimization. - Mahesh Chandra Mukkamala; Peter Ochs; Thomas Pock; Shoham Sabach (CoRR, 2019)

An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration. - Alexander Effland; Erich Kobler; Karl Kunisch; Thomas Pock (CoRR, 2019)

The Five Elements of Flow. - Markus Hofinger; Samuel Rota Bulò; Lorenzo Porzi; Arno Knapitsch; Thomas Pock; Peter Kontschieder (CoRR, 2019)

Total roto-translational variation. - Antonin Chambolle; Thomas Pock (Numerische Mathematik, 2019)

Adaptive FISTA for Nonconvex Optimization. - Peter Ochs; Thomas Pock (SIAM J. Optim., 2019)

BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo. - Christian Sormann; Patrick Knöbelreiter; Andreas Kuhn 005; Mattia Rossi; Thomas Pock; Friedrich Fraundorfer (3DV, 2020)

Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems. - Patrick Knöbelreiter; Christian Sormann; Alexander Shekhovtsov; Friedrich Fraundorfer; Thomas Pock (CVPR, 2020)

Total Deep Variation for Linear Inverse Problems. - Erich Kobler; Alexander Effland; Karl Kunisch; Thomas Pock (CVPR, 2020)

Inline Double Layer Depth Estimation with Transparent Materials. - Christian Kopf; Thomas Pock; Bernhard Blaschitz; Svorad Stolc (GCPR, 2020)

Improving Optical Flow on a Pyramid Level. - Markus Hofinger; Samuel Rota Bulò; Lorenzo Porzi; Arno Knapitsch; Thomas Pock; Peter Kontschieder (ECCV (28), 2020)

PIEMAP: Personalized Inverse Eikonal Model from Cardiac Electro-Anatomical Maps. - Thomas Grandits; Simone Pezzuto; Jolijn M. Lubrecht; Thomas Pock; Gernot Plank; Rolf Krause (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Total Deep Variation: A Stable Regularizer for Inverse Problems. - Erich Kobler; Alexander Effland; Karl Kunisch; Thomas Pock (CoRR, 2020)

3D Fluid Flow Estimation with Integrated Particle Reconstruction. - Katrin Lasinger; Christoph Vogel; Thomas Pock; Konrad Schindler (Int. J. Comput. Vis., 2020)

An inverse Eikonal method for identifying ventricular activation sequences from epicardial activation maps. - Thomas Grandits; Karli Gillette; Aurel Neic; Jason D. Bayer; Edward J. Vigmond; Thomas Pock; Gernot Plank (J. Comput. Phys., 2020)

Special Issue on the Mathematical Foundations of Deep Learning in Imaging Science. - Joan Bruna; Eldad Haber; Gitta Kutyniok; Thomas Pock; René Vidal (J. Math. Imaging Vis., 2020)

A Convex Variational Model for Learning Convolutional Image Atoms from Incomplete Data. - Antonin Chambolle; Martin Holler; Thomas Pock (J. Math. Imaging Vis., 2020)

Crouzeix-Raviart Approximation of the Total Variation on Simplicial Meshes. - Antonin Chambolle; Thomas Pock (J. Math. Imaging Vis., 2020)

Variational Networks: An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration. - Alexander Effland; Erich Kobler; Karl Kunisch; Thomas Pock (J. Math. Imaging Vis., 2020)

Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Nonconvex Optimization. - Mahesh Chandra Mukkamala; Peter Ochs; Thomas Pock; Shoham Sabach (SIAM J. Math. Data Sci., 2020)

Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues. - Florian Knoll; Kerstin Hammernik; Chi Zhang 057; Steen Moeller; Thomas Pock; Daniel K. Sodickson; Mehmet Akçakaya (IEEE Signal Process. Mag., 2020)

Learning Atrial Fiber Orientations and Conductivity Tensors from Intracardiac Maps Using Physics-Informed Neural Networks. - Thomas Grandits; Simone Pezzuto; Francisco Sahli Costabal; Paris Perdikaris; Thomas Pock; Gernot Plank; Rolf Krause (FIMH, 2021)

One-sided Frank-Wolfe algorithms for saddle problems. - Vladimir Kolmogorov; Thomas Pock (ICML, 2021)

GEASI: Geodesic-based Earliest Activation Sites Identification in cardiac models. - Thomas Grandits; Alexander Effland; Thomas Pock; Rolf Krause; Gernot Plank; Simone Pezzuto (CoRR, 2021)

Learned Collaborative Stereo Refinement. - Patrick Knöbelreiter; Thomas Pock (Int. J. Comput. Vis., 2021)

Image Morphing in Deep Feature Spaces: Theory and Applications. - Alexander Effland; Erich Kobler; Thomas Pock; Marko Rajkovic; Martin Rumpf (J. Math. Imaging Vis., 2021)

A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs. - Karli Gillette; Matthias A. F. Gsell; Anton J. Prassl; Elias Karabelas; Ursula Reiter; Gert Reiter; Thomas Grandits; Christian Payer; Darko Stern; Martin Urschler; Jason D. Bayer; Christoph M. Augustin; et al. (Medical Image Anal., 2021)

Learning Consistent Discretizations of the Total Variation. - Antonin Chambolle; Thomas Pock (SIAM J. Imaging Sci., 2021)

Shared Prior Learning of Energy-Based Models for Image Reconstruction. - Thomas Pinetz; Erich Kobler; Thomas Pock; Alexander Effland (SIAM J. Imaging Sci., 2021)

Blind Single Image Super-Resolution via Iterated Shared Prior Learning. - Thomas Pinetz; Erich Kobler; Thomas Pock; Alexander Effland (GCPR, 2022)

Learned Variational Video Color Propagation. - Markus Hofinger; Erich Kobler; Alexander Effland; Thomas Pock (ECCV (23), 2022)

Is Appearance Free Action Recognition Possible? - Filip Ilic; Thomas Pock; Richard P. Wildes (ECCV (4), 2022)

Computed Tomography Reconstruction using Generative Energy-Based Priors. - Martin Zach; Erich Kobler; Thomas Pock (CoRR, 2022)

Total Deep Variation: A Stable Regularization Method for Inverse Problems. - Erich Kobler; Alexander Effland; Karl Kunisch; Thomas Pock (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Convergence of a Piggyback-Style Method for the Differentiation of Solutions of Standard Saddle-Point Problems. - Lea Bogensperger; Antonin Chambolle; Thomas Pock (SIAM J. Math. Data Sci., 2022)

Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction. - Dominik Narnhofer; Alexander Effland; Erich Kobler; Kerstin Hammernik; Florian Knoll; Thomas Pock (IEEE Trans. Medical Imaging, 2022)

Score-Based Generative Models for Medical Image Segmentation Using Signed Distance Functions. - Lea Bogensperger; Dominik Narnhofer; Filip Ilic; Thomas Pock (DAGM, 2023)

Learned Discretization Schemes for the Second-Order Total Generalized Variation. - Lea Bogensperger; Antonin Chambolle; Alexander Effland; Thomas Pock (SSVM, 2023)

Explicit Diffusion of Gaussian Mixture Model Based Image Priors. - Martin Zach; Thomas Pock; Erich Kobler; Antonin Chambolle (SSVM, 2023)

Lightweight Video Denoising using Aggregated Shifted Window Attention. - Lydia Lindner; Alexander Effland; Filip Ilic; Thomas Pock; Erich Kobler (WACV, 2023)

Bilevel learning of regularization models and their discretization for image deblurring and super-resolution. - Tatiana A. Bubba; Luca Calatroni; Ambra Catozzi; Serena Crisci; Thomas Pock; Monica Pragliola; Siiri Rautio; Danilo Riccio; Andrea Sebastiani (CoRR, 2023)

Learning Gradually Non-convex Image Priors Using Score Matching. - Erich Kobler; Thomas Pock (CoRR, 2023)

Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms. - Tim Tsz-Kit Lau; Han Liu 001; Thomas Pock (CoRR, 2023)

On the Relationship Between RNN Hidden State Vectors and Semantic Ground Truth. - Edi Muskardin; Martin Tappler; Ingo Pill; Bernhard K. Aichernig; Thomas Pock (CoRR, 2023)

Stable Deep MRI Reconstruction Using Generative Priors. - Martin Zach; Florian Knoll; Thomas Pock (IEEE Trans. Medical Imaging, 2023)

On the Relationship Between RNN Hidden-State Vectors and Semantic Structures. - Edi Muskardin; Martin Tappler; Ingo Pill; Bernhard K. Aichernig; Thomas Pock (ACL (Findings), 2024)

Selective, Interpretable and Motion Consistent Privacy Attribute Obfuscation for Action Recognition. - Filip Ilic; He Zhao 004; Thomas Pock; Richard P. Wildes (CVPR, 2024)

Diffusion-based generation of Histopathological Whole Slide Images at a Gigapixel scale. - Robert Harb; Thomas Pock; Heimo Müller (WACV, 2024)

Total Generalized Variation on a Tree. - Muhamed Kuric; Jan Ahmetspahic; Thomas Pock (SIAM J. Imaging Sci., 2024)

Subgradient Langevin Methods for Sampling from Nonsmooth Potentials. - Andreas Habring; Martin Holler; Thomas Pock (SIAM J. Math. Data Sci., 2024)

Utilization of deep learning tools to map and monitor biological soil crusts. - Stefan Herdy; Emilio Rodríguez-Caballero; Thomas Pock; Bettina Weber (Ecol. Informatics, 2024)

Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging. - Dominik Narnhofer; Andreas Habring; Martin Holler; Thomas Pock (SIAM J. Imaging Sci., 2024)

Product of Gaussian Mixture Diffusion Models. - Martin Zach; Erich Kobler; Antonin Chambolle; Thomas Pock (J. Math. Imaging Vis., 2024)

Product of Gaussian Mixture Diffusion Model for Non-linear MRI Inversion. - Laurenz Nagler; Martin Zach; Thomas Pock (SSVM (1), 2025)

Diffusion at Absolute Zero: Langevin Sampling Using Successive Moreau Envelopes. - Andreas Habring; Alexander Falk; Thomas Pock (SSP, 2025)

Machine-learning guided differentiation between photoplethysmography waveforms of supraventricular and ventricular origin. - Martin Manninger; Ingmar Lercher; Astrid N. L. Hermans; Jonas Isaksen; Anton J. Prassl; Andreas Zirlik; Kevin Vernooy; Sevasti-Maria Chaldoupi; Justin Luermans; Rachel M. A. ter Bekke; Jørgen K. Kanters; Gernot Plank; et al. (Comput. Methods Programs Biomed., 2025)

Total Variation-Based Image Decomposition and Denoising for Microscopy Images. - Marco Corrias; Giada Franceschi; Michele Riva; Alberto Tampieri; Karin Föttinger; Ulrike Diebold; Thomas Pock; Cesare Franchini (CoRR, 2025)

The Gaussian Latent Machine: Efficient Prior and Posterior Sampling for Inverse Problems. - Muhamed Kuric; Martin Zach; Andreas Habring; Michael Unser; Thomas Pock (CoRR, 2025)

FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms. - Lea Bogensperger; Dominik Narnhofer; Alexander Falk; Konrad Schindler; Thomas Pock (Int. J. Comput. Vis., 2025)

An Adaptively Inexact Method for Bilevel Learning Using Primal-Dual-Style Differentiation. - Lea Bogensperger; Matthias J. Ehrhardt; Thomas Pock; Mohammad Sadegh Salehi; Hok Shing Wong (J. Math. Imaging Vis., 2025)