Thomas Pock


Ontology type: schema:Person     


Person Info

NAME

Thomas

SURNAME

Pock

Publications in SciGraph latest 50 shown

  • 2022-10-28 Learned Variational Video Color Propagation in COMPUTER VISION – ECCV 2022
  • 2022-09-20 Blind Single Image Super-Resolution via Iterated Shared Prior Learning in PATTERN RECOGNITION
  • 2022-03-23 A joint alignment and reconstruction algorithm for electron tomography to visualize in-depth cell-to-cell interactions in HISTOCHEMISTRY AND CELL BIOLOGY
  • 2021-06-20 Learned Collaborative Stereo Refinement in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2021-06-18 Learning Atrial Fiber Orientations and Conductivity Tensors from Intracardiac Maps Using Physics-Informed Neural Networks in FUNCTIONAL IMAGING AND MODELING OF THE HEART
  • 2021-03-17 Inline Double Layer Depth Estimation with Transparent Materials in PATTERN RECOGNITION
  • 2021-01-29 PIEMAP: Personalized Inverse Eikonal Model from Cardiac Electro-Anatomical Maps in STATISTICAL ATLASES AND COMPUTATIONAL MODELS OF THE HEART. M&MS AND EMIDEC CHALLENGES
  • 2020-11-03 Improving Optical Flow on a Pyramid Level in COMPUTER VISION – ECCV 2020
  • 2020-07-19 Image Morphing in Deep Feature Spaces: Theory and Applications in JOURNAL OF MATHEMATICAL IMAGING AND VISION
  • 2020-03-25 Special Issue on the Mathematical Foundations of Deep Learning in Imaging Science in JOURNAL OF MATHEMATICAL IMAGING AND VISION
  • 2020-03-11 Variational Networks: An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration in JOURNAL OF MATHEMATICAL IMAGING AND VISION
  • 2020-02-03 Crouzeix–Raviart Approximation of the Total Variation on Simplicial Meshes in JOURNAL OF MATHEMATICAL IMAGING AND VISION
  • 2019-11-18 A Convex Variational Model for Learning Convolutional Image Atoms from Incomplete Data in JOURNAL OF MATHEMATICAL IMAGING AND VISION
  • 2019-11-13 3D Fluid Flow Estimation with Integrated Particle Reconstruction in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2019-10-25 Learned Collaborative Stereo Refinement in PATTERN RECOGNITION
  • 2019-10-25 On the Estimation of the Wasserstein Distance in Generative Models in PATTERN RECOGNITION
  • 2019-10-24 Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions in MACHINE LEARNING FOR MEDICAL IMAGE RECONSTRUCTION
  • 2019-06-05 Time Discrete Geodesics in Deep Feature Spaces for Image Morphing in SCALE SPACE AND VARIATIONAL METHODS IN COMPUTER VISION
  • 2019-05-26 Learning Energy Based Inpainting for Optical Flow in COMPUTER VISION – ACCV 2018
  • 2019-03-16 Total roto-translational variation in NUMERISCHE MATHEMATIK
  • 2019-02-16 Joint reconstruction and classification of tumor cells and cell interactions in melanoma tissue sections with synthesized training data in INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
  • 2019-02-14 3D Fluid Flow Estimation with Integrated Particle Reconstruction in PATTERN RECOGNITION
  • 2018-07-04 Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisation in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2018-03-22 Optimizing Wavelet Bases for Sparser Representations in ENERGY MINIMIZATION METHODS IN COMPUTER VISION AND PATTERN RECOGNITION
  • 2018-02-21 Variational Networks for Joint Image Reconstruction and Classification of Tumor Immune Cell Interactions in Melanoma Tissue Sections in BILDVERARBEITUNG FÜR DIE MEDIZIN 2018
  • 2017-08-15 A Primal Dual Network for Low-Level Vision Problems in PATTERN RECOGNITION
  • 2017-08-15 Trainable Regularization for Multi-frame Superresolution in PATTERN RECOGNITION
  • 2017-08-15 Scalable Full Flow with Learned Binary Descriptors in PATTERN RECOGNITION
  • 2017-08-15 Variational Networks: Connecting Variational Methods and Deep Learning in PATTERN RECOGNITION
  • 2017-04-08 A Novel Way to Measure and Predict Development: A Heuristic Approach to Facilitate the Early Detection of Neurodevelopmental Disorders in CURRENT NEUROLOGY AND NEUROSCIENCE REPORTS
  • 2017-03-01 A Deep Learning Architecture for Limited-Angle Computed Tomography Reconstruction in BILDVERARBEITUNG FÜR DIE MEDIZIN 2017
  • 2016-12-15 Acceleration of the PDHGM on Partially Strongly Convex Functions in JOURNAL OF MATHEMATICAL IMAGING AND VISION
  • 2016-05-17 Techniques for Gradient-Based Bilevel Optimization with Non-smooth Lower Level Problems in JOURNAL OF MATHEMATICAL IMAGING AND VISION
  • 2015-11-03 Learning Reaction-Diffusion Models for Image Inpainting in PATTERN RECOGNITION
  • 2015-10-30 On the ergodic convergence rates of a first-order primal–dual algorithm in MATHEMATICAL PROGRAMMING
  • 2015-04-28 Bilevel Optimization with Nonsmooth Lower Level Problems in SCALE SPACE AND VARIATIONAL METHODS IN COMPUTER VISION
  • 2015-02-19 iPiasco: Inertial Proximal Algorithm for Strongly Convex Optimization in JOURNAL OF MATHEMATICAL IMAGING AND VISION
  • 2015-02-10 Vertebrae Segmentation in 3D CT Images Based on a Variational Framework in RECENT ADVANCES IN COMPUTATIONAL METHODS AND CLINICAL APPLICATIONS FOR SPINE IMAGING
  • 2014-12-05 Real-time Flare Detection in Ground-Based Hα Imaging at Kanzelhöhe Observatory in SOLAR PHYSICS
  • 2014-10-15 Scene Flow Estimation from Light Fields via the Preconditioned Primal-Dual Algorithm in PATTERN RECOGNITION
  • 2014-10-15 A Deep Variational Model for Image Segmentation in PATTERN RECOGNITION
  • 2014-07-17 An Inertial Forward-Backward Algorithm for Monotone Inclusions in JOURNAL OF MATHEMATICAL IMAGING AND VISION
  • 2014 Shape from Light Field Meets Robust PCA in COMPUTER VISION – ECCV 2014
  • 2014 Non-local Total Generalized Variation for Optical Flow Estimation in COMPUTER VISION – ECCV 2014
  • 2013-08-10 Guest Editorial: Variational Models, Convex Analysis and Numerical Optimization in Mathematical Imaging in JOURNAL OF MATHEMATICAL IMAGING AND VISION
  • 2013 Revisiting Loss-Specific Training of Filter-Based MRFs for Image Restoration in PATTERN RECOGNITION
  • 2013 Variational Shape from Light Field in ENERGY MINIMIZATION METHODS IN COMPUTER VISION AND PATTERN RECOGNITION
  • 2013 Minimizing TGV-Based Variational Models with Non-convex Data Terms in SCALE SPACE AND VARIATIONAL METHODS IN COMPUTER VISION
  • 2012-06-14 Convex Relaxation of a Class of Vertex Penalizing Functionals in JOURNAL OF MATHEMATICAL IMAGING AND VISION
  • 2012 Approximate Envelope Minimization for Curvature Regularity in COMPUTER VISION – ECCV 2012. WORKSHOPS AND DEMONSTRATIONS
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