Thomas Pock

Orcid: 0000-0001-6120-1058

According to our database1, Thomas Pock authored at least 173 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging.
SIAM J. Imaging Sci., March, 2024

Utilization of deep learning tools to map and monitor biological soil crusts.
Ecol. Informatics, March, 2024

Selective, Interpretable, and Motion Consistent Privacy Attribute Obfuscation for Action Recognition.
CoRR, 2024

Diffusion-based generation of Histopathological Whole Slide Images at a Gigapixel scale.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Stable Deep MRI Reconstruction Using Generative Priors.
IEEE Trans. Medical Imaging, December, 2023

On the Relationship Between RNN Hidden State Vectors and Semantic Ground Truth.
CoRR, 2023

Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms.
CoRR, 2023

Learning Gradually Non-convex Image Priors Using Score Matching.
CoRR, 2023

Bilevel learning of regularization models and their discretization for image deblurring and super-resolution.
CoRR, 2023

Lightweight Video Denoising using Aggregated Shifted Window Attention.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Explicit Diffusion of Gaussian Mixture Model Based Image Priors.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

Learned Discretization Schemes for the Second-Order Total Generalized Variation.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

Score-Based Generative Models for Medical Image Segmentation Using Signed Distance Functions.
Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

2022
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction.
IEEE Trans. Medical Imaging, 2022

Convergence of a Piggyback-Style Method for the Differentiation of Solutions of Standard Saddle-Point Problems.
SIAM J. Math. Data Sci., 2022

Total Deep Variation: A Stable Regularization Method for Inverse Problems.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Computed Tomography Reconstruction using Generative Energy-Based Priors.
CoRR, 2022

Is Appearance Free Action Recognition Possible?
Proceedings of the Computer Vision - ECCV 2022, 2022

Learned Variational Video Color Propagation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Blind Single Image Super-Resolution via Iterated Shared Prior Learning.
Proceedings of the Pattern Recognition, 2022

2021
Shared Prior Learning of Energy-Based Models for Image Reconstruction.
SIAM J. Imaging Sci., 2021

Learning Consistent Discretizations of the Total Variation.
SIAM J. Imaging Sci., 2021

A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs.
Medical Image Anal., 2021

Image Morphing in Deep Feature Spaces: Theory and Applications.
J. Math. Imaging Vis., 2021

Learned Collaborative Stereo Refinement.
Int. J. Comput. Vis., 2021

GEASI: Geodesic-based Earliest Activation Sites Identification in cardiac models.
CoRR, 2021

One-sided Frank-Wolfe algorithms for saddle problems.
Proceedings of the 38th International Conference on Machine Learning, 2021

Learning Atrial Fiber Orientations and Conductivity Tensors from Intracardiac Maps Using Physics-Informed Neural Networks.
Proceedings of the Functional Imaging and Modeling of the Heart, 2021

2020
Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues.
IEEE Signal Process. Mag., 2020

Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Nonconvex Optimization.
SIAM J. Math. Data Sci., 2020

Variational Networks: An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration.
J. Math. Imaging Vis., 2020

Crouzeix-Raviart Approximation of the Total Variation on Simplicial Meshes.
J. Math. Imaging Vis., 2020

A Convex Variational Model for Learning Convolutional Image Atoms from Incomplete Data.
J. Math. Imaging Vis., 2020

Special Issue on the Mathematical Foundations of Deep Learning in Imaging Science.
J. Math. Imaging Vis., 2020

An inverse Eikonal method for identifying ventricular activation sequences from epicardial activation maps.
J. Comput. Phys., 2020

3D Fluid Flow Estimation with Integrated Particle Reconstruction.
Int. J. Comput. Vis., 2020

Total Deep Variation: A Stable Regularizer for Inverse Problems.
CoRR, 2020

PIEMAP: Personalized Inverse Eikonal Model from Cardiac Electro-Anatomical Maps.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Improving Optical Flow on a Pyramid Level.
Proceedings of the Computer Vision - ECCV 2020, 2020

Inline Double Layer Depth Estimation with Transparent Materials.
Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

Total Deep Variation for Linear Inverse Problems.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
Adaptive FISTA for Nonconvex Optimization.
SIAM J. Optim., 2019

Total roto-translational variation.
Numerische Mathematik, 2019

The Five Elements of Flow.
CoRR, 2019

An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration.
CoRR, 2019

Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Non-Convex Optimization.
CoRR, 2019

Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction.
CoRR, 2019

Joint reconstruction and classification of tumor cells and cell interactions in melanoma tissue sections with synthesized training data.
Int. J. Comput. Assist. Radiol. Surg., 2019

Time Discrete Geodesics in Deep Feature Spaces for Image Morphing.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019

Fast Decomposable Submodular Function Minimization using Constrained Total Variation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

On the Estimation of the Wasserstein Distance in Generative Models.
Proceedings of the Pattern Recognition, 2019

2018
A First-Order Primal-Dual Algorithm with Linesearch.
SIAM J. Optim., 2018

A Review of Depth and Normal Fusion Algorithms.
Sensors, 2018

Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisation.
Int. J. Comput. Vis., 2018

Variational 3D-PIV with Sparse Descriptors.
CoRR, 2018

Robust Deformation Estimation in Wood-Composite Materials using Variational Optical Flow.
CoRR, 2018

Self-Supervised Learning for Stereo Reconstruction on Aerial Images.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Variational Fusion of Light Field and Photometric Stereo for Precise 3D Sensing within a Multi-Line Scan Framework.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Variational Deep Learning for Low-Dose Computed Tomography.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Variational Networks for Joint Image Reconstruction and Classification of Tumor Immune Cell Interactions in Melanoma Tissue Sections.
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

Learning Energy Based Inpainting for Optical Flow.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Acceleration of the PDHGM on Partially Strongly Convex Functions.
J. Math. Imaging Vis., 2017

Learning a Variational Network for Reconstruction of Accelerated MRI Data.
CoRR, 2017

Neural EPI-Volume Networks for Shape from Light Field.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Real-time panoramic tracking for event cameras.
Proceedings of the 2017 IEEE International Conference on Computational Photography, 2017

Optimizing Wavelet Bases for Sparser Representations.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

High-Precision 3D Sensing with Hybrid Light Field & Photometric Stereo Approach in Multi-Line Scan Framework.
Proceedings of the Intelligent Robotics and Industrial Applications using Computer Vision 2017, Burlingame, CA, USA, January 29, 2017

A Primal Dual Network for Low-Level Vision Problems.
Proceedings of the Pattern Recognition - 39th German Conference, 2017

Scalable Full Flow with Learned Binary Descriptors.
Proceedings of the Pattern Recognition - 39th German Conference, 2017

Variational Networks: Connecting Variational Methods and Deep Learning.
Proceedings of the Pattern Recognition - 39th German Conference, 2017

Trainable Regularization for Multi-frame Superresolution.
Proceedings of the Pattern Recognition - 39th German Conference, 2017

End-to-End Training of Hybrid CNN-CRF Models for Stereo.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Semantic 3D Reconstruction with Finite Element Bases.
Proceedings of the British Machine Vision Conference 2017, 2017

A Deep Learning Architecture for Limited-Angle Computed Tomography Reconstruction.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

2016
Inertial Proximal Alternating Linearized Minimization (iPALM) for Nonconvex and Nonsmooth Problems.
SIAM J. Imaging Sci., 2016

Total Variation on a Tree.
SIAM J. Imaging Sci., 2016

On the ergodic convergence rates of a first-order primal-dual algorithm.
Math. Program., 2016

Techniques for Gradient-Based Bilevel Optimization with Non-smooth Lower Level Problems.
J. Math. Imaging Vis., 2016

Inpainting-Based Image Compression (Dagstuhl Seminar 16462).
Dagstuhl Reports, 2016

Solving Dense Image Matching in Real-Time using Discrete-Continuous Optimization.
CoRR, 2016

An introduction to continuous optimization for imaging.
Acta Numer., 2016

Learning joint demosaicing and denoising based on sequential energy minimization.
Proceedings of the 2016 IEEE International Conference on Computational Photography, 2016

Convolutional Networks for Shape from Light Field.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-resolution Model for Multi-class Volumetric Labeling.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

U-shaped Networks for Shape from Light Field.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
A Convex, Lower Semicontinuous Approximation of Euler's Elastica Energy.
SIAM J. Math. Anal., 2015

On Iteratively Reweighted Algorithms for Nonsmooth Nonconvex Optimization in Computer Vision.
SIAM J. Imaging Sci., 2015

iPiasco: Inertial Proximal Algorithm for Strongly Convex Optimization.
J. Math. Imaging Vis., 2015

An Inertial Forward-Backward Algorithm for Monotone Inclusions.
J. Math. Imaging Vis., 2015

Guest Editorial: Scale Space and Variational Methods.
J. Math. Imaging Vis., 2015

Acceleration of the PDHGM on strongly convex subspaces.
CoRR, 2015

Bilevel Optimization with Nonsmooth Lower Level Problems.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

Learning Reaction-Diffusion Models for Image Inpainting.
Proceedings of the Pattern Recognition - 37th German Conference, 2015

Efficient minimal-surface regularization of perspective depth maps in variational stereo.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

On learning optimized reaction diffusion processes for effective image restoration.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Depth Restoration via Joint Training of a Global Regression Model and CNNs.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
Insights Into Analysis Operator Learning: From Patch-Based Sparse Models to Higher Order MRFs.
IEEE Trans. Image Process., 2014

A Higher-Order MRF Based Variational Model for Multiplicative Noise Reduction.
IEEE Signal Process. Lett., 2014

iPiano: Inertial Proximal Algorithm for Nonconvex Optimization.
SIAM J. Imaging Sci., 2014

A Comparison of First-order Algorithms for Machine Learning.
CoRR, 2014

iPiano: Inertial Proximal Algorithm for Non-Convex Optimization.
CoRR, 2014

An accelerated forward-backward algorithm for monotone inclusions.
CoRR, 2014

A bi-level view of inpainting - based image compression.
CoRR, 2014

Learning ℓ<sub>1</sub>-based analysis and synthesis sparsity priors using bi-level optimization.
CoRR, 2014

Non-local Total Generalized Variation for Optical Flow Estimation.
Proceedings of the Computer Vision - ECCV 2014, 2014

Shape from Light Field Meets Robust PCA.
Proceedings of the Computer Vision - ECCV 2014, 2014

A Deep Variational Model for Image Segmentation.
Proceedings of the Pattern Recognition - 36th German Conference, 2014

Scene Flow Estimation from Light Fields via the Preconditioned Primal-Dual Algorithm.
Proceedings of the Pattern Recognition - 36th German Conference, 2014

2013
A Bilevel Optimization Approach for Parameter Learning in Variational Models.
SIAM J. Imaging Sci., 2013

Guest Editorial: Variational Models, Convex Analysis and Numerical Optimization in Mathematical Imaging.
J. Math. Imaging Vis., 2013

Convex Relaxation of a Class of Vertex Penalizing Functionals.
J. Math. Imaging Vis., 2013

A Convex Approach for Image Hallucination
CoRR, 2013

Filament and Flare Detection in Hα image sequences
CoRR, 2013

Minimizing TGV-Based Variational Models with Non-convex Data Terms.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

Variational Shape from Light Field.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013

Revisiting Loss-Specific Training of Filter-Based MRFs for Image Restoration.
Proceedings of the Pattern Recognition - 35th German Conference, 2013

An Iterated L1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
A Convex Approach to Minimal Partitions.
SIAM J. Imaging Sci., 2012

Pushing the limits of stereo using variational stereo estimation.
Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, 2012

Approximate Envelope Minimization for Curvature Regularity.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Dense reconstruction on-the-fly.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Joint motion estimation and segmentation of complex scenes with label costs and occlusion modeling.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging.
J. Math. Imaging Vis., 2011

Efficient Algorithms for Global Optimisation Methods in Computer Vision (Dagstuhl Seminar 11471).
Dagstuhl Reports, 2011

Efficient Minimization of the Non-local Potts Model.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Online 3D reconstruction using convex optimization.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Diagonal preconditioning for first order primal-dual algorithms in convex optimization.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Optical Flow Guided TV-L<sup>1</sup> Video Interpolation and Restoration.
Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011

Global Relabeling for Continuous Optimization in Binary Image Segmentation.
Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011

TGV-Fusion.
Proceedings of the Rainbow of Computer Science, 2011

2010
Global Solutions of Variational Models with Convex Regularization.
SIAM J. Imaging Sci., 2010

Total Generalized Variation.
SIAM J. Imaging Sci., 2010

Segmentation of interwoven 3d tubular tree structures utilizing shape priors and graph cuts.
Medical Image Anal., 2010

Aerial Computer Vision for a 3D Virtual Habitat.
Computer, 2010

Optical flow based deformable volume registration using a novel second-order regularization prior.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

Anisotropic Minimal Surfaces Integrating Photoconsistency and Normal Information for Multiview Stereo.
Proceedings of the Computer Vision, 2010

A Convex Approach for Variational Super-Resolution.
Proceedings of the Pattern Recognition, 2010

Exploiting Redundancy for Aerial Image Fusion Using Convex Optimization.
Proceedings of the Pattern Recognition, 2010

Motion estimation with non-local total variation regularization.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

PROST: Parallel robust online simple tracking.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Online multi-class LPBoost.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Variational segmentation of elongated volumetric structures.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Interactive Multi-label Segmentation.
Proceedings of the Computer Vision - ACCV 2010, 2010

2009
Advanced Data Terms for Variational Optic Flow Estimation.
Proceedings of the 14th International Workshop on Vision, Modeling, and Visualization, 2009

Variational Optical Flow from Alternate Exposure Images.
Proceedings of the 14th International Workshop on Vision, Modeling, and Visualization, 2009

A Variational Model for Interactive Shape Prior Segmentation and Real-Time Tracking.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

A Variational Approach to Semiautomatic Generation of Digital Terrain Models.
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009

Structure- and motion-adaptive regularization for high accuracy optic flow.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Large displacement optical flow computation withoutwarping.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

An algorithm for minimizing the Mumford-Shah functional.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Tracking as Segmentation of Spatial-Temporal Volumes by Anisotropic Weighted TV.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2009

Video Super Resolution Using Duality Based TV-L1 Optical Flow.
Proceedings of the Pattern Recognition, 2009

A convex relaxation approach for computing minimal partitions.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Anisotropic Huber-L1 Optical Flow.
Proceedings of the British Machine Vision Conference, 2009

Interactive Texture Segmentation using Random Forests and Total Variation.
Proceedings of the British Machine Vision Conference, 2009

2008
Continuous Energy Minimization Via Repeated Binary Fusion.
Proceedings of the Computer Vision, 2008

A Convex Formulation of Continuous Multi-label Problems.
Proceedings of the Computer Vision, 2008

An Improved Algorithm for TV-<i>L</i> <sup>1</sup> Optical Flow.
Proceedings of the Statistical and Geometrical Approaches to Visual Motion Analysis, 2008

An Unbiased Second-Order Prior for High-Accuracy Motion Estimation.
Proceedings of the Pattern Recognition, 2008

Fast and exact solution of Total Variation models on the GPU.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

TVSeg - Interactive Total Variation Based Image Segmentation.
Proceedings of the British Machine Vision Conference 2008, Leeds, UK, September 2008, 2008

2007
Algorithmic Differentiation: Application to Variational Problems in Computer Vision.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

A Duality Based Algorithm for TV- <i>L</i> <sup>1</sup>-Optical-Flow Image Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

A Globally Optimal Algorithm for Robust TV-L<sup>1</sup> Range Image Integration.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

A Duality Based Approach for Realtime TV-<i>L</i><sup>1</sup> Optical Flow.
Proceedings of the Pattern Recognition, 2007

Mumford-Shah Meets Stereo: Integration of Weak Depth Hypotheses.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
A Probabilistic Multi-phase Model for Variational Image Segmentation.
Proceedings of the Pattern Recognition, 2006

2005
A Novel Robust Tube Detection Filter for 3D Centerline Extraction.
Proceedings of the Image Analysis, 14th Scandinavian Conference, 2005

2004
Liver segment approximation in CT data for surgical resection planning.
Proceedings of the Medical Imaging 2004: Image Processing, 2004


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