Thomas Pock - RankMe

229 papers A* 25A 9B 6C 1Misc 1Journal 122Unranked 62

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Diffusion at Absolute Zero: Langevin Sampling Using Successive Moreau Envelopes. SIAM J. Imaging Sci. Andreas Habring, Alexander Falk, Martin Zach, Thomas Pock
2026	J	`jnl`	Image-based analysis of long-term biocrust degradation utilizing joint energy-based deep learning. Ecol. Informatics Stefan Herdy, Philipp Faulhammer, Emilio Rodríguez-Caballero, Erika Geiger, Jayne Belnap, Thomas Pock, Bettina Weber
2025	J	`jnl`	An Adaptively Inexact Method for Bilevel Learning Using Primal-Dual-Style Differentiation. J. Math. Imaging Vis. Lea Bogensperger, Matthias J. Ehrhardt, Thomas Pock, Mohammad Sadegh Salehi, Hok Shing Wong
2025	J	`jnl`	An Inertial Langevin Algorithm. CoRR Alexander Falk, Andreas Habring, Christoph Griesbacher, Thomas Pock
2025	—	`conf`	Diffusion at Absolute Zero: Langevin Sampling Using Successive Moreau Envelopes. SSP Andreas Habring, Alexander Falk, Thomas Pock
2025	J	`jnl`	Diffusion at Absolute Zero: Langevin Sampling Using Successive Moreau Envelopes. CoRR Andreas Habring, Alexander Falk, Thomas Pock
2025	J	`jnl`	FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms. Int. J. Comput. Vis. Lea Bogensperger, Dominik Narnhofer, Alexander Falk, Konrad Schindler, Thomas Pock
2025	J	`jnl`	Machine-learning guided differentiation between photoplethysmography waveforms of supraventricular and ventricular origin. Comput. Methods Programs Biomed. 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, Daniel Scherr, Thomas Pock, Dominik Linz
2025	—	`conf`	Product of Gaussian Mixture Diffusion Model for Non-linear MRI Inversion. SSVM (1) Laurenz Nagler, Martin Zach, Thomas Pock
2025	J	`jnl`	Product of Gaussian Mixture Diffusion Model for non-linear MRI Inversion. CoRR Laurenz Nagler, Martin Zach, Thomas Pock
2025	J	`jnl`	The Gaussian Latent Machine: Efficient Prior and Posterior Sampling for Inverse Problems. CoRR Muhamed Kuric, Martin Zach, Andreas Habring, Michael Unser, Thomas Pock
2025	J	`jnl`	Total Variation-Based Image Decomposition and Denoising for Microscopy Images. CoRR Marco Corrias, Giada Franceschi, Michele Riva, Alberto Tampieri, Karin Föttinger, Ulrike Diebold, Thomas Pock, Cesare Franchini
2024	J	`jnl`	An Adaptively Inexact Method for Bilevel Learning Using Primal-Dual Style Differentiation. CoRR Lea Bogensperger, Matthias J. Ehrhardt, Thomas Pock, Mohammad Sadegh Salehi, Hok Shing Wong
2024	A	`conf`	Diffusion-based generation of Histopathological Whole Slide Images at a Gigapixel scale. WACV Robert Harb, Thomas Pock, Heimo Müller
2024	J	`jnl`	FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms. CoRR Lea Bogensperger, Dominik Narnhofer, Alexander Falk, Konrad Schindler, Thomas Pock
2024	—	`conf`	On the Relationship Between RNN Hidden-State Vectors and Semantic Structures. ACL (Findings) Edi Muskardin, Martin Tappler, Ingo Pill, Bernhard K. Aichernig, Thomas Pock
2024	J	`jnl`	Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging. SIAM J. Imaging Sci. Dominik Narnhofer, Andreas Habring, Martin Holler, Thomas Pock
2024	J	`jnl`	Product of Gaussian Mixture Diffusion Models. J. Math. Imaging Vis. Martin Zach, Erich Kobler, Antonin Chambolle, Thomas Pock
2024	A*	`conf`	Selective, Interpretable and Motion Consistent Privacy Attribute Obfuscation for Action Recognition. CVPR Filip Ilic, He Zhao, Thomas Pock, Richard P. Wildes
2024	J	`jnl`	Selective, Interpretable, and Motion Consistent Privacy Attribute Obfuscation for Action Recognition. CoRR Filip Ilic, He Zhao, Thomas Pock, Richard P. Wildes
2024	J	`jnl`	Subgradient Langevin Methods for Sampling from Nonsmooth Potentials. SIAM J. Math. Data Sci. Andreas Habring, Martin Holler, Thomas Pock
2024	J	`jnl`	Total Generalized Variation on a Tree. SIAM J. Imaging Sci. Muhamed Kuric, Jan Ahmetspahic, Thomas Pock
2024	J	`jnl`	Utilization of deep learning tools to map and monitor biological soil crusts. Ecol. Informatics Stefan Herdy, Emilio Rodríguez-Caballero, Thomas Pock, Bettina Weber
2023	J	`jnl`	Bilevel learning of regularization models and their discretization for image deblurring and super-resolution. CoRR Tatiana A. Bubba, Luca Calatroni, Ambra Catozzi, Serena Crisci, Thomas Pock, Monica Pragliola, Siiri Rautio, Danilo Riccio, Andrea Sebastiani
2023	J	`jnl`	Diffusion-based generation of Histopathological Whole Slide Images at a Gigapixel scale. CoRR Robert Harb, Thomas Pock, Heimo Müller
2023	—	`conf`	Explicit Diffusion of Gaussian Mixture Model Based Image Priors. SSVM Martin Zach, Thomas Pock, Erich Kobler, Antonin Chambolle
2023	J	`jnl`	Explicit Diffusion of Gaussian Mixture Model Based Image Priors. CoRR Martin Zach, Thomas Pock, Erich Kobler, Antonin Chambolle
2023	—	`conf`	Learned Discretization Schemes for the Second-Order Total Generalized Variation. SSVM Lea Bogensperger, Antonin Chambolle, Alexander Effland, Thomas Pock
2023	J	`jnl`	Learned Discretization Schemes for the Second-Order Total Generalized Variation. CoRR Lea Bogensperger, Antonin Chambolle, Alexander Effland, Thomas Pock
2023	J	`jnl`	Learning Gradually Non-convex Image Priors Using Score Matching. CoRR Erich Kobler, Thomas Pock
2023	A	`conf`	Lightweight Video Denoising using Aggregated Shifted Window Attention. WACV Lydia Lindner, Alexander Effland, Filip Ilic, Thomas Pock, Erich Kobler
2023	J	`jnl`	Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms. CoRR Tim Tsz-Kit Lau, Han Liu, Thomas Pock
2023	J	`jnl`	On the Relationship Between RNN Hidden State Vectors and Semantic Ground Truth. CoRR Edi Muskardin, Martin Tappler, Ingo Pill, Bernhard K. Aichernig, Thomas Pock
2023	—	`conf`	Score-Based Generative Models for Medical Image Segmentation Using Signed Distance Functions. DAGM Lea Bogensperger, Dominik Narnhofer, Filip Ilic, Thomas Pock
2023	J	`jnl`	Score-Based Generative Models for Medical Image Segmentation using Signed Distance Functions. CoRR Lea Bogensperger, Dominik Narnhofer, Filip Ilic, Thomas Pock
2023	J	`jnl`	Stable Deep MRI Reconstruction Using Generative Priors. IEEE Trans. Medical Imaging Martin Zach, Florian Knoll, Thomas Pock
2022	J	`jnl`	Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction. IEEE Trans. Medical Imaging Dominik Narnhofer, Alexander Effland, Erich Kobler, Kerstin Hammernik, Florian Knoll, Thomas Pock
2022	—	`conf`	Blind Single Image Super-Resolution via Iterated Shared Prior Learning. GCPR Thomas Pinetz, Erich Kobler, Thomas Pock, Alexander Effland
2022	J	`jnl`	Computed Tomography Reconstruction using Generative Energy-Based Priors. CoRR Martin Zach, Erich Kobler, Thomas Pock
2022	J	`jnl`	Convergence of a Piggyback-Style Method for the Differentiation of Solutions of Standard Saddle-Point Problems. SIAM J. Math. Data Sci. Lea Bogensperger, Antonin Chambolle, Thomas Pock
2022	—	`conf`	Is Appearance Free Action Recognition Possible? ECCV (4) Filip Ilic, Thomas Pock, Richard P. Wildes
2022	J	`jnl`	Is Appearance Free Action Recognition Possible? CoRR Filip Ilic, Thomas Pock, Richard P. Wildes
2022	—	`conf`	Learned Variational Video Color Propagation. ECCV (23) Markus Hofinger, Erich Kobler, Alexander Effland, Thomas Pock
2022	J	`jnl`	Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging. CoRR Dominik Narnhofer, Andreas Habring, Martin Holler, Thomas Pock
2022	J	`jnl`	Stable deep MRI reconstruction using Generative Priors. CoRR Martin Zach, Florian Knoll, Thomas Pock
2022	J	`jnl`	Total Deep Variation: A Stable Regularization Method for Inverse Problems. IEEE Trans. Pattern Anal. Mach. Intell. Erich Kobler, Alexander Effland, Karl Kunisch, Thomas Pock
2021	J	`jnl`	A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs. Medical Image Anal. 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, Aurel Neic, Thomas Pock, Edward J. Vigmond, Gernot Plank
2021	J	`jnl`	Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction. CoRR Dominik Narnhofer, Alexander Effland, Erich Kobler, Kerstin Hammernik, Florian Knoll, Thomas Pock
2021	J	`jnl`	GEASI: Geodesic-based Earliest Activation Sites Identification in cardiac models. CoRR Thomas Grandits, Alexander Effland, Thomas Pock, Rolf Krause, Gernot Plank, Simone Pezzuto
2021	J	`jnl`	Image Morphing in Deep Feature Spaces: Theory and Applications. J. Math. Imaging Vis. Alexander Effland, Erich Kobler, Thomas Pock, Marko Rajkovic, Martin Rumpf
2021	J	`jnl`	Learned Collaborative Stereo Refinement. Int. J. Comput. Vis. Patrick Knöbelreiter, Thomas Pock
2021	—	`conf`	Learning Atrial Fiber Orientations and Conductivity Tensors from Intracardiac Maps Using Physics-Informed Neural Networks. FIMH Thomas Grandits, Simone Pezzuto, Francisco Sahli Costabal, Paris Perdikaris, Thomas Pock, Gernot Plank, Rolf Krause
2021	J	`jnl`	Learning Consistent Discretizations of the Total Variation. SIAM J. Imaging Sci. Antonin Chambolle, Thomas Pock
2021	J	`jnl`	Learning atrial fiber orientations and conductivity tensors from intracardiac maps using physics-informed neural networks. CoRR Thomas Grandits, Simone Pezzuto, Francisco Sahli Costabal, Paris Perdikaris, Thomas Pock, Gernot Plank, Rolf Krause
2021	A*	`conf`	One-sided Frank-Wolfe algorithms for saddle problems. ICML Vladimir Kolmogorov, Thomas Pock
2021	J	`jnl`	Shared Prior Learning of Energy-Based Models for Image Reconstruction. SIAM J. Imaging Sci. Thomas Pinetz, Erich Kobler, Thomas Pock, Alexander Effland
2020	J	`jnl`	3D Fluid Flow Estimation with Integrated Particle Reconstruction. Int. J. Comput. Vis. Katrin Lasinger, Christoph Vogel, Thomas Pock, Konrad Schindler
2020	J	`jnl`	A Convex Variational Model for Learning Convolutional Image Atoms from Incomplete Data. J. Math. Imaging Vis. Antonin Chambolle, Martin Holler, Thomas Pock
2020	J	`jnl`	An inverse Eikonal method for identifying ventricular activation sequences from epicardial activation maps. J. Comput. Phys. Thomas Grandits, Karli Gillette, Aurel Neic, Jason D. Bayer, Edward J. Vigmond, Thomas Pock, Gernot Plank
2020	—	`conf`	BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo. 3DV Christian Sormann, Patrick Knöbelreiter, Andreas Kuhn, Mattia Rossi, Thomas Pock, Friedrich Fraundorfer
2020	J	`jnl`	BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo. CoRR Christian Sormann, Patrick Knöbelreiter, Andreas Kuhn, Mattia Rossi, Thomas Pock, Friedrich Fraundorfer
2020	A*	`conf`	Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems. CVPR Patrick Knöbelreiter, Christian Sormann, Alexander Shekhovtsov, Friedrich Fraundorfer, Thomas Pock
2020	J	`jnl`	Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems. CoRR Patrick Knöbelreiter, Christian Sormann, Alexander Shekhovtsov, Friedrich Fraundorfer, Thomas Pock
2020	J	`jnl`	Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Nonconvex Optimization. SIAM J. Math. Data Sci. Mahesh Chandra Mukkamala, Peter Ochs, Thomas Pock, Shoham Sabach
2020	J	`jnl`	Crouzeix-Raviart Approximation of the Total Variation on Simplicial Meshes. J. Math. Imaging Vis. Antonin Chambolle, Thomas Pock
2020	J	`jnl`	Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues. IEEE Signal Process. Mag. Florian Knoll, Kerstin Hammernik, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K. Sodickson, Mehmet Akçakaya
2020	—	`conf`	Improving Optical Flow on a Pyramid Level. ECCV (28) Markus Hofinger, Samuel Rota Bulò, Lorenzo Porzi, Arno Knapitsch, Thomas Pock, Peter Kontschieder
2020	—	`conf`	Inline Double Layer Depth Estimation with Transparent Materials. GCPR Christian Kopf, Thomas Pock, Bernhard Blaschitz, Svorad Stolc
2020	—	`conf`	PIEMAP: Personalized Inverse Eikonal Model from Cardiac Electro-Anatomical Maps. M&Ms and EMIDEC/STACOM@MICCAI Thomas Grandits, Simone Pezzuto, Jolijn M. Lubrecht, Thomas Pock, Gernot Plank, Rolf Krause
2020	J	`jnl`	Shared Prior Learning of Energy-Based Models for Image Reconstruction. CoRR Thomas Pinetz, Erich Kobler, Thomas Pock, Alexander Effland
2020	J	`jnl`	Special Issue on the Mathematical Foundations of Deep Learning in Imaging Science. J. Math. Imaging Vis. Joan Bruna, Eldad Haber, Gitta Kutyniok, Thomas Pock, René Vidal
2020	A*	`conf`	Total Deep Variation for Linear Inverse Problems. CVPR Erich Kobler, Alexander Effland, Karl Kunisch, Thomas Pock
2020	J	`jnl`	Total Deep Variation for Linear Inverse Problems. CoRR Erich Kobler, Alexander Effland, Karl Kunisch, Thomas Pock
2020	J	`jnl`	Total Deep Variation: A Stable Regularizer for Inverse Problems. CoRR Erich Kobler, Alexander Effland, Karl Kunisch, Thomas Pock
2020	J	`jnl`	Variational Networks: An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration. J. Math. Imaging Vis. Alexander Effland, Erich Kobler, Karl Kunisch, Thomas Pock
2019	J	`jnl`	Adaptive FISTA for Nonconvex Optimization. SIAM J. Optim. Peter Ochs, Thomas Pock
2019	J	`jnl`	An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration. CoRR Alexander Effland, Erich Kobler, Karl Kunisch, Thomas Pock
2019	J	`jnl`	Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Non-Convex Optimization. CoRR Mahesh Chandra Mukkamala, Peter Ochs, Thomas Pock, Shoham Sabach
2019	J	`jnl`	Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction. CoRR Florian Knoll, Kerstin Hammernik, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K. Sodickson, Mehmet Akçakaya
2019	A*	`conf`	Fast Decomposable Submodular Function Minimization using Constrained Total Variation. NeurIPS Senanayak Sesh Kumar Karri, Francis R. Bach, Thomas Pock
2019	J	`jnl`	Fast Decomposable Submodular Function Minimization using Constrained Total Variation. CoRR Senanayak Sesh Kumar Karri, Francis R. Bach, Thomas Pock
2019	J	`jnl`	Image Morphing in Deep Feature Spaces: Theory and Applications. CoRR Alexander Effland, Erich Kobler, Thomas Pock, Marko Rajkovic, Martin Rumpf
2019	—	`conf`	Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions. MLMIR@MICCAI Patricia M. Johnson, Matthew J. Muckley, Mary Bruno, Erich Kobler, Kerstin Hammernik, Thomas Pock, Florian Knoll
2019	J	`jnl`	Joint reconstruction and classification of tumor cells and cell interactions in melanoma tissue sections with synthesized training data. Int. J. Comput. Assist. Radiol. Surg. Alexander Effland, Erich Kobler, Anne Brandenburg, Teresa Klatzer, Leonie Neuhäuser, Michael Hölzel, Jennifer Landsberg, Thomas Pock, Martin Rumpf
2019	—	`conf`	Learned Collaborative Stereo Refinement. GCPR Patrick Knöbelreiter, Thomas Pock
2019	J	`jnl`	Learned Collaborative Stereo Refinement. CoRR Patrick Knöbelreiter, Thomas Pock
2019	—	`conf`	On the Estimation of the Wasserstein Distance in Generative Models. GCPR Thomas Pinetz, Daniel Soukup, Thomas Pock
2019	J	`jnl`	On the estimation of the Wasserstein distance in generative models. CoRR Thomas Pinetz, Daniel Soukup, Thomas Pock
2019	J	`jnl`	Self-Supervised Learning for Stereo Reconstruction on Aerial Images. CoRR Patrick Knöbelreiter, Christoph Vogel, Thomas Pock
2019	J	`jnl`	The Five Elements of Flow. CoRR Markus Hofinger, Samuel Rota Bulò, Lorenzo Porzi, Arno Knapitsch, Thomas Pock, Peter Kontschieder
2019	—	`conf`	Time Discrete Geodesics in Deep Feature Spaces for Image Morphing. SSVM Alexander Effland, Erich Kobler, Thomas Pock, Martin Rumpf
2019	J	`jnl`	Total roto-translational variation. Numerische Mathematik Antonin Chambolle, Thomas Pock
2018	—	`conf`	3D Fluid Flow Estimation with Integrated Particle Reconstruction. GCPR Katrin Lasinger, Christoph Vogel, Thomas Pock, Konrad Schindler
2018	J	`jnl`	3D Fluid Flow Estimation with Integrated Particle Reconstruction. CoRR Katrin Lasinger, Christoph Vogel, Thomas Pock, Konrad Schindler
2018	J	`jnl`	A First-Order Primal-Dual Algorithm with Linesearch. SIAM J. Optim. Yura Malitsky, Thomas Pock
2018	J	`jnl`	A Review of Depth and Normal Fusion Algorithms. Sensors Doris Antensteiner, Svorad Stolc, Thomas Pock
2018	—	`conf`	Learning Energy Based Inpainting for Optical Flow. ACCV (6) Christoph Vogel, Patrick Knöbelreiter, Thomas Pock
2018	J	`jnl`	Learning Energy Based Inpainting for Optical Flow. CoRR Christoph Vogel, Patrick Knöbelreiter, Thomas Pock
2018	J	`jnl`	Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisation. Int. J. Comput. Vis. Gottfried Munda, Christian Reinbacher, Thomas Pock
2018	J	`jnl`	Robust Deformation Estimation in Wood-Composite Materials using Variational Optical Flow. CoRR Markus Hofinger, Thomas Pock, Thomas Moosbrugger
2018	C	`conf`	Self-Supervised Learning for Stereo Reconstruction on Aerial Images. IGARSS Patrick Knöbelreiter, Christoph Vogel, Thomas Pock
2018	J	`jnl`	Variational 3D-PIV with Sparse Descriptors. CoRR Katrin Lasinger, Christoph Vogel, Thomas Pock, Konrad Schindler
2018	Misc	`conf`	Variational Deep Learning for Low-Dose Computed Tomography. ICASSP Erich Kobler, Matthew J. Muckley, Baiyu Chen, Florian Knoll, Kerstin Hammernik, Thomas Pock, Daniel K. Sodickson, Ricardo Otazo
2018	B	`conf`	Variational Fusion of Light Field and Photometric Stereo for Precise 3D Sensing within a Multi-Line Scan Framework. ICPR Doris Antensteiner, Svorad Stolc, Thomas Pock
2018	—	`conf`	Variational Networks for Joint Image Reconstruction and Classification of Tumor Immune Cell Interactions in Melanoma Tissue Sections. Bildverarbeitung für die Medizin Alexander Effland, Michael Hölzel, Teresa Klatzer, Erich Kobler, Jennifer Landsberg, Leonie Neuhäuser, Thomas Pock, Martin Rumpf
2017	—	`conf`	A Deep Learning Architecture for Limited-Angle Computed Tomography Reconstruction. Bildverarbeitung für die Medizin Kerstin Hammernik, Tobias Würfl, Thomas Pock, Andreas K. Maier
2017	—	`conf`	A Primal Dual Network for Low-Level Vision Problems. GCPR Christoph Vogel, Thomas Pock
2017	J	`jnl`	Acceleration of the PDHGM on Partially Strongly Convex Functions. J. Math. Imaging Vis. Tuomo Valkonen, Thomas Pock
2017	A*	`conf`	End-to-End Training of Hybrid CNN-CRF Models for Stereo. CVPR Patrick Knöbelreiter, Christian Reinbacher, Alexander Shekhovtsov, Thomas Pock
2017	—	`conf`	High-Precision 3D Sensing with Hybrid Light Field & Photometric Stereo Approach in Multi-Line Scan Framework. IRIACV Doris Antensteiner, Svorad Stolc, Kristián Valentín, Bernhard Blaschitz, Reinhold Huber-Mörk, Thomas Pock
2017	J	`jnl`	Learning a Variational Network for Reconstruction of Accelerated MRI Data. CoRR Kerstin Hammernik, Teresa Klatzer, Erich Kobler, Michael P. Recht, Daniel K. Sodickson, Thomas Pock, Florian Knoll
2017	A*	`conf`	Neural EPI-Volume Networks for Shape from Light Field. ICCV Stefan Heber, Wei Yu, Thomas Pock
2017	—	`conf`	Optimizing Wavelet Bases for Sparser Representations. EMMCVPR Thomas Grandits, Thomas Pock
2017	J	`jnl`	Real-Time Panoramic Tracking for Event Cameras. CoRR Christian Reinbacher, Gottfried Munda, Thomas Pock
2017	B	`conf`	Real-time panoramic tracking for event cameras. ICCP Christian Reinbacher, Gottfried Munda, Thomas Pock
2017	—	`conf`	Scalable Full Flow with Learned Binary Descriptors. GCPR Gottfried Munda, Alexander Shekhovtsov, Patrick Knöbelreiter, Thomas Pock
2017	J	`jnl`	Scalable Full Flow with Learned Binary Descriptors. CoRR Gottfried Munda, Alexander Shekhovtsov, Patrick Knöbelreiter, Thomas Pock
2017	A	`conf`	Semantic 3D Reconstruction with Finite Element Bases. BMVC Audrey Richard, Christoph Vogel, Maros Blaha, Thomas Pock, Konrad Schindler
2017	J	`jnl`	Semantic 3D Reconstruction with Finite Element Bases. CoRR Audrey Richard, Christoph Vogel, Maros Blaha, Thomas Pock, Konrad Schindler
2017	J	`jnl`	Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. Yunjin Chen, Thomas Pock
2017	—	`conf`	Trainable Regularization for Multi-frame Superresolution. GCPR Teresa Klatzer, Daniel Soukup, Erich Kobler, Kerstin Hammernik, Thomas Pock
2017	—	`conf`	Variational Networks: Connecting Variational Methods and Deep Learning. GCPR Erich Kobler, Teresa Klatzer, Kerstin Hammernik, Thomas Pock
2016	J	`jnl`	An introduction to continuous optimization for imaging. Acta Numer. Antonin Chambolle, Thomas Pock
2016	A*	`conf`	Convolutional Networks for Shape from Light Field. CVPR Stefan Heber, Thomas Pock
2016	J	`jnl`	End-to-End Training of Hybrid CNN-CRF Models for Stereo. CoRR Patrick Knöbelreiter, Christian Reinbacher, Alexander Shekhovtsov, Thomas Pock
2016	J	`jnl`	Inertial Proximal Alternating Linearized Minimization (iPALM) for Nonconvex and Nonsmooth Problems. SIAM J. Imaging Sci. Thomas Pock, Shoham Sabach
2016	J	`jnl`	Inpainting-Based Image Compression (Dagstuhl Seminar 16462). Dagstuhl Reports Christine Guillemot, Gerlind Plonka-Hoch, Thomas Pock, Joachim Weickert
2016	A*	`conf`	Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-resolution Model for Multi-class Volumetric Labeling. CVPR Maros Blaha, Christoph Vogel, Audrey Richard, Jan Dirk Wegner, Thomas Pock, Konrad Schindler
2016	B	`conf`	Learning joint demosaicing and denoising based on sequential energy minimization. ICCP Teresa Klatzer, Kerstin Hammernik, Patrick Knöbelreiter, Thomas Pock
2016	J	`jnl`	On the ergodic convergence rates of a first-order primal-dual algorithm. Math. Program. Antonin Chambolle, Thomas Pock
2016	A	`conf`	Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisation. BMVC Christian Reinbacher, Gottfried Graber, Thomas Pock
2016	J	`jnl`	Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisation. CoRR Christian Reinbacher, Gottfried Graber, Thomas Pock
2016	J	`jnl`	Solving Dense Image Matching in Real-Time using Discrete-Continuous Optimization. CoRR Alexander Shekhovtsov, Christian Reinbacher, Gottfried Graber, Thomas Pock
2016	J	`jnl`	Techniques for Gradient-Based Bilevel Optimization with Non-smooth Lower Level Problems. J. Math. Imaging Vis. Peter Ochs, René Ranftl, Thomas Brox, Thomas Pock
2016	J	`jnl`	Total Variation on a Tree. SIAM J. Imaging Sci. Vladimir Kolmogorov, Thomas Pock, Michal Rolínek
2016	A	`conf`	U-shaped Networks for Shape from Light Field. BMVC Stefan Heber, Wei Yu, Thomas Pock
2015	J	`jnl`	A Convex, Lower Semicontinuous Approximation of Euler's Elastica Energy. SIAM J. Math. Anal. Kristian Bredies, Thomas Pock, Benedikt Wirth
2015	J	`jnl`	Acceleration of the PDHGM on strongly convex subspaces. CoRR Tuomo Valkonen, Thomas Pock
2015	J	`jnl`	An Inertial Forward-Backward Algorithm for Monotone Inclusions. J. Math. Imaging Vis. Dirk A. Lorenz, Thomas Pock
2015	—	`conf`	Bilevel Optimization with Nonsmooth Lower Level Problems. SSVM Peter Ochs, René Ranftl, Thomas Brox, Thomas Pock
2015	A	`conf`	Depth Restoration via Joint Training of a Global Regression Model and CNNs. BMVC Gernot Riegler, René Ranftl, Matthias Rüther, Thomas Pock, Horst Bischof
2015	A*	`conf`	Efficient minimal-surface regularization of perspective depth maps in variational stereo. CVPR Gottfried Graber, Jonathan Balzer, Stefano Soatto, Thomas Pock
2015	J	`jnl`	Guest Editorial: Scale Space and Variational Methods. J. Math. Imaging Vis. Arjan Kuijper, Thomas Pock, Kristian Bredies, Horst Bischof
2015	—	`conf`	Learning Reaction-Diffusion Models for Image Inpainting. GCPR Wei Yu, Stefan Heber, Thomas Pock
2015	J	`jnl`	On Iteratively Reweighted Algorithms for Nonsmooth Nonconvex Optimization in Computer Vision. SIAM J. Imaging Sci. Peter Ochs, Alexey Dosovitskiy, Thomas Brox, Thomas Pock
2015	A*	`conf`	On learning optimized reaction diffusion processes for effective image restoration. CVPR Yunjin Chen, Wei Yu, Thomas Pock
2015	J	`jnl`	On learning optimized reaction diffusion processes for effective image restoration. CoRR Yunjin Chen, Wei Yu, Thomas Pock
2015	J	`jnl`	Total variation on a tree. CoRR Vladimir Kolmogorov, Thomas Pock, Michal Rolínek
2015	J	`jnl`	Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration. CoRR Yunjin Chen, Thomas Pock
2015	J	`jnl`	iPiasco: Inertial Proximal Algorithm for Strongly Convex Optimization. J. Math. Imaging Vis. Peter Ochs, Thomas Brox, Thomas Pock
2014	J	`jnl`	A Comparison of First-order Algorithms for Machine Learning. CoRR Wei Yu, Thomas Pock
2014	—	`conf`	A Deep Variational Model for Image Segmentation. GCPR René Ranftl, Thomas Pock
2014	J	`jnl`	A Higher-Order MRF Based Variational Model for Multiplicative Noise Reduction. IEEE Signal Process. Lett. Yunjin Chen, Wensen Feng, René Ranftl, Hong Qiao, Thomas Pock
2014	J	`jnl`	A bi-level view of inpainting - based image compression. CoRR Yunjin Chen, René Ranftl, Thomas Pock
2014	J	`jnl`	A higher-order MRF based variational model for multiplicative noise reduction. CoRR Yunjin Chen, Wensen Feng, René Ranftl, Hong Qiao, Thomas Pock
2014	J	`jnl`	An accelerated forward-backward algorithm for monotone inclusions. CoRR Dirk A. Lorenz, Thomas Pock
2014	—	`ed.`	Efficient Algorithms for Global Optimization Methods in Computer Vision - International Dagstuhl Seminar, Dagstuhl Castle, Germany, November 20-25, 2011, Revised Selected Papers Efficient Algorithms for Global Optimization Methods in Computer Vision Andrés Bruhn, Thomas Pock, Xue-Cheng Tai
2014	J	`jnl`	Insights Into Analysis Operator Learning: From Patch-Based Sparse Models to Higher Order MRFs. IEEE Trans. Image Process. Yunjin Chen, René Ranftl, Thomas Pock
2014	J	`jnl`	Insights into analysis operator learning: From patch-based sparse models to higher-order MRFs. CoRR Yunjin Chen, René Ranftl, Thomas Pock
2014	J	`jnl`	Learning ℓ CoRR Yunjin Chen, Thomas Pock, Horst Bischof
2014	—	`conf`	Non-local Total Generalized Variation for Optical Flow Estimation. ECCV (1) René Ranftl, Kristian Bredies, Thomas Pock
2014	J	`jnl`	Revisiting loss-specific training of filter-based MRFs for image restoration. CoRR Yunjin Chen, Thomas Pock, René Ranftl, Horst Bischof
2014	—	`conf`	Scene Flow Estimation from Light Fields via the Preconditioned Primal-Dual Algorithm. GCPR Stefan Heber, Thomas Pock
2014	—	`conf`	Shape from Light Field Meets Robust PCA. ECCV (6) Stefan Heber, Thomas Pock
2014	J	`jnl`	iPiano: Inertial Proximal Algorithm for Non-Convex Optimization. CoRR Peter Ochs, Yunjin Chen, Thomas Brox, Thomas Pock
2014	J	`jnl`	iPiano: Inertial Proximal Algorithm for Nonconvex Optimization. SIAM J. Imaging Sci. Peter Ochs, Yunjin Chen, Thomas Brox, Thomas Pock
2013	J	`jnl`	A Bilevel Optimization Approach for Parameter Learning in Variational Models. SIAM J. Imaging Sci. Karl Kunisch, Thomas Pock
2013	J	`jnl`	A Convex Approach for Image Hallucination CoRR Peter Innerhofer, Thomas Pock
2013	A*	`conf`	An Iterated L1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision. CVPR Peter Ochs, Alexey Dosovitskiy, Thomas Brox, Thomas Pock
2013	J	`jnl`	Convex Relaxation of a Class of Vertex Penalizing Functionals. J. Math. Imaging Vis. Kristian Bredies, Thomas Pock, Benedikt Wirth
2013	J	`jnl`	Filament and Flare Detection in Hα image sequences CoRR Gernot Riegler, Thomas Pock, Werner Pötzi, Astrid Veronig
2013	J	`jnl`	Guest Editorial: Variational Models, Convex Analysis and Numerical Optimization in Mathematical Imaging. J. Math. Imaging Vis. Antonin Chambolle, Michael Hintermüller, Thomas Pock, Christoph Schnörr, Gabriele Steidl
2013	—	`conf`	Minimizing TGV-Based Variational Models with Non-convex Data Terms. SSVM René Ranftl, Thomas Pock, Horst Bischof
2013	—	`conf`	Revisiting Loss-Specific Training of Filter-Based MRFs for Image Restoration. GCPR Yunjin Chen, Thomas Pock, René Ranftl, Horst Bischof
2013	—	`ed.`	Scale Space and Variational Methods in Computer Vision - 4th International Conference, SSVM 2013, Schloss Seggau, Leibnitz, Austria, June 2-6, 2013. Proceedings SSVM Arjan Kuijper, Kristian Bredies, Thomas Pock, Horst Bischof
2013	—	`conf`	Variational Shape from Light Field. EMMCVPR Stefan Heber, René Ranftl, Thomas Pock
2012	J	`jnl`	A Convex Approach to Minimal Partitions. SIAM J. Imaging Sci. Antonin Chambolle, Daniel Cremers, Thomas Pock
2012	—	`conf`	Approximate Envelope Minimization for Curvature Regularity. ECCV Workshops (3) Stefan Heber, René Ranftl, Thomas Pock
2012	A*	`conf`	Dense reconstruction on-the-fly. CVPR Andreas Wendel, Michael Maurer, Gottfried Graber, Thomas Pock, Horst Bischof
2012	A*	`conf`	Joint motion estimation and segmentation of complex scenes with label costs and occlusion modeling. CVPR Markus Unger, Manuel Werlberger, Thomas Pock, Horst Bischof
2012	—	`ed.`	Pattern Recognition - Joint 34th DAGM and 36th OAGM Symposium, Graz, Austria, August 28-31, 2012. Proceedings DAGM/OAGM-Symposium Axel Pinz, Thomas Pock, Horst Bischof, Franz Leberl
2012	B	`conf`	Pushing the limits of stereo using variational stereo estimation. Intelligent Vehicles Symposium René Ranftl, Stefan Gehrig, Thomas Pock, Horst Bischof
2011	J	`jnl`	A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging. J. Math. Imaging Vis. Antonin Chambolle, Thomas Pock
2011	A*	`conf`	Diagonal preconditioning for first order primal-dual algorithms in convex optimization. ICCV Thomas Pock, Antonin Chambolle
2011	J	`jnl`	Efficient Algorithms for Global Optimisation Methods in Computer Vision (Dagstuhl Seminar 11471). Dagstuhl Reports Andrés Bruhn, Thomas Pock, Xue-Cheng Tai
2011	—	`conf`	Efficient Minimization of the Non-local Potts Model. SSVM Manuel Werlberger, Markus Unger, Thomas Pock, Horst Bischof
2011	—	`conf`	Global Relabeling for Continuous Optimization in Binary Image Segmentation. EMMCVPR Markus Unger, Thomas Pock, Horst Bischof
2011	—	`conf`	Online 3D reconstruction using convex optimization. ICCV Workshops Gottfried Graber, Thomas Pock, Horst Bischof
2011	—	`conf`	Optical Flow Guided TV-L EMMCVPR Manuel Werlberger, Thomas Pock, Markus Unger, Horst Bischof
2011	—	`conf`	TGV-Fusion. Rainbow of Computer Science Thomas Pock, Lukas Zebedin, Horst Bischof
2010	—	`conf`	A Convex Approach for Variational Super-Resolution. DAGM-Symposium Markus Unger, Thomas Pock, Manuel Werlberger, Horst Bischof
2010	J	`jnl`	Aerial Computer Vision for a 3D Virtual Habitat. Computer Franz Leberl, Horst Bischof, Thomas Pock, Arnold Irschara, Stefan Kluckner
2010	—	`conf`	Anisotropic Minimal Surfaces Integrating Photoconsistency and Normal Information for Multiview Stereo. ECCV (3) Kalin Kolev, Thomas Pock, Daniel Cremers
2010	—	`conf`	Exploiting Redundancy for Aerial Image Fusion Using Convex Optimization. DAGM-Symposium Stefan Kluckner, Thomas Pock, Horst Bischof
2010	J	`jnl`	Global Solutions of Variational Models with Convex Regularization. SIAM J. Imaging Sci. Thomas Pock, Daniel Cremers, Horst Bischof, Antonin Chambolle
2010	—	`conf`	Interactive Multi-label Segmentation. ACCV (1) Jakob Santner, Thomas Pock, Horst Bischof
2010	A*	`conf`	Motion estimation with non-local total variation regularization. CVPR Manuel Werlberger, Thomas Pock, Horst Bischof
2010	A*	`conf`	Online multi-class LPBoost. CVPR Amir Saffari, Martin Godec, Thomas Pock, Christian Leistner, Horst Bischof
2010	B	`conf`	Optical flow based deformable volume registration using a novel second-order regularization prior. Image Processing Sasa Grbic, Martin Urschler, Thomas Pock, Horst Bischof
2010	A*	`conf`	PROST: Parallel robust online simple tracking. CVPR Jakob Santner, Christian Leistner, Amir Saffari, Thomas Pock, Horst Bischof
2010	J	`jnl`	Segmentation of interwoven 3d tubular tree structures utilizing shape priors and graph cuts. Medical Image Anal. Christian Bauer, Thomas Pock, Erich Sorantin, Horst Bischof, Reinhard Beichel
2010	J	`jnl`	Total Generalized Variation. SIAM J. Imaging Sci. Kristian Bredies, Karl Kunisch, Thomas Pock
2010	A*	`conf`	Variational segmentation of elongated volumetric structures. CVPR Christian Reinbacher, Thomas Pock, Christian Bauer, Horst Bischof
2009	—	`conf`	A Variational Approach to Semiautomatic Generation of Digital Terrain Models. ISVC (2) Markus Unger, Thomas Pock, Markus Grabner, Andreas Klaus, Horst Bischof
2009	—	`conf`	A Variational Model for Interactive Shape Prior Segmentation and Real-Time Tracking. SSVM Manuel Werlberger, Thomas Pock, Markus Unger, Horst Bischof
2009	A*	`conf`	A convex relaxation approach for computing minimal partitions. CVPR Thomas Pock, Antonin Chambolle, Daniel Cremers, Horst Bischof
2009	—	`conf`	Advanced Data Terms for Variational Optic Flow Estimation. VMV Frank Steinbrücker, Thomas Pock, Daniel Cremers
2009	A*	`conf`	An algorithm for minimizing the Mumford-Shah functional. ICCV Thomas Pock, Daniel Cremers, Horst Bischof, Antonin Chambolle
2009	A	`conf`	Anisotropic Huber-L1 Optical Flow. BMVC Manuel Werlberger, Werner Trobin, Thomas Pock, Andreas Wedel, Daniel Cremers, Horst Bischof
2009	A	`conf`	Interactive Texture Segmentation using Random Forests and Total Variation. BMVC Jakob Santner, Markus Unger, Thomas Pock, Christian Leistner, Amir Saffari, Horst Bischof
2009	A*	`conf`	Large displacement optical flow computation withoutwarping. ICCV Frank Steinbrücker, Thomas Pock, Daniel Cremers
2009	A*	`conf`	Structure- and motion-adaptive regularization for high accuracy optic flow. ICCV Andreas Wedel, Daniel Cremers, Thomas Pock, Horst Bischof
2009	—	`conf`	Tracking as Segmentation of Spatial-Temporal Volumes by Anisotropic Weighted TV. EMMCVPR Markus Unger, Thomas Mauthner, Thomas Pock, Horst Bischof
2009	—	`conf`	Variational Optical Flow from Alternate Exposure Images. VMV Anita Sellent, Martin Eisemann, Bastian Goldlücke, Thomas Pock, Daniel Cremers, Marcus A. Magnor
2009	—	`conf`	Video Super Resolution Using Duality Based TV-L1 Optical Flow. DAGM-Symposium Dennis Mitzel, Thomas Pock, Thomas Schoenemann, Daniel Cremers
2008	—	`conf`	A Convex Formulation of Continuous Multi-label Problems. ECCV (3) Thomas Pock, Thomas Schoenemann, Gottfried Graber, Horst Bischof, Daniel Cremers
2008	—	`conf`	An Improved Algorithm for TV- Statistical and Geometrical Approaches to Visual Motion Analysis Andreas Wedel, Thomas Pock, Christopher Zach, Horst Bischof, Daniel Cremers
2008	—	`conf`	An Unbiased Second-Order Prior for High-Accuracy Motion Estimation. DAGM-Symposium Werner Trobin, Thomas Pock, Daniel Cremers, Horst Bischof
2008	—	`conf`	Continuous Energy Minimization Via Repeated Binary Fusion. ECCV (4) Werner Trobin, Thomas Pock, Daniel Cremers, Horst Bischof
2008	—	`conf`	Fast and exact solution of Total Variation models on the GPU. CVPR Workshops Thomas Pock, Markus Unger, Daniel Cremers, Horst Bischof
2008	A	`conf`	TVSeg - Interactive Total Variation Based Image Segmentation. BMVC Markus Unger, Thomas Pock, Werner Trobin, Daniel Cremers, Horst Bischof
2007	—	`conf`	A Duality Based Algorithm for TV- MICCAI (2) Thomas Pock, Martin Urschler, Christopher Zach, Reinhard Beichel, Horst Bischof
2007	—	`conf`	A Duality Based Approach for Realtime TV- DAGM-Symposium Christopher Zach, Thomas Pock, Horst Bischof
2007	A*	`conf`	A Globally Optimal Algorithm for Robust TV-L ICCV Christopher Zach, Thomas Pock, Horst Bischof
2007	J	`jnl`	Algorithmic Differentiation: Application to Variational Problems in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. Thomas Pock, Michael Pock, Horst Bischof
2007	A*	`conf`	Mumford-Shah Meets Stereo: Integration of Weak Depth Hypotheses. CVPR Thomas Pock, Christopher Zach, Horst Bischof
2006	—	`conf`	A Probabilistic Multi-phase Model for Variational Image Segmentation. DAGM-Symposium Thomas Pock, Horst Bischof
2005	—	`conf`	A Novel Robust Tube Detection Filter for 3D Centerline Extraction. SCIA Thomas Pock, Reinhard Beichel, Horst Bischof
2004	B	`conf`	Liver segment approximation in CT data for surgical resection planning. Image Processing Reinhard Beichel, Thomas Pock, Christian Janko, Roman B. Zotter, Bernhard Reitinger, Alexander Bornik, Kálmán Palágyi, Erich Sorantin, Georg Werkgartner, Horst Bischof, Milan Sonka