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Journal of Mathematical Imaging and Vision
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February 4, 2020
Acceleration of the PDHGM on Partially Strongly Convex Functions
Tuomo Valkonen, Thomas Pock
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
August 17, 2016
Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration
Yunjin Chen, Thomas Pock
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
May 15, 2007
Algorithmic differentiation: application to variational problems in computer vision
Thomas Pock, Michael Pock, Horst Bischof
Sensors (Basel, Switzerland)
|
February 2, 2018
A Review of Depth and Normal Fusion Algorithms
Doris Antensteiner, Svorad Štolc, Thomas Pock
Journal of Mathematical Imaging and Vision
|
June 8, 2026
Product-of-Gaussian-mixture diffusion models for joint nonlinear MRI reconstruction
Laurenz Nagler, Martin Zach, Thomas Pock
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
January 30, 2014
Insights into analysis operator learning: from patch-based sparse models to higher order MRFs
Yunjin Chen, René Ranftl, Thomas Pock
IEEE Transactions on Medical Imaging
|
September 1, 2023
Stable Deep MRI Reconstruction Using Generative Priors
Martin Zach, Florian Knoll, Thomas Pock
Journal of Mathematical Imaging and Vision
|
April 18, 2020
Variational Networks: An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration
Alexander Effland, Erich Kobler, Karl Kunisch, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
November 2, 2021
Total Deep Variation: A Stable Regularization Method for Inverse Problems
Erich Kobler, Alexander Effland, Karl Kunisch, et al.
Magnetic Resonance in Medicine
|
January 26, 2011
Second order total generalized variation (TGV) for MRI
Florian Knoll, Kristian Bredies, Thomas Pock, et al.
Page
of 4
Search research articles
Search
Showing results (1-10 of 33) with videos related to
Sort By:
Page
of 4
Journal of Mathematical Imaging and Vision
|
February 4, 2020
Acceleration of the PDHGM on Partially Strongly Convex Functions
Tuomo Valkonen, Thomas Pock
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
August 17, 2016
Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration
Yunjin Chen, Thomas Pock
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
May 15, 2007
Algorithmic differentiation: application to variational problems in computer vision
Thomas Pock, Michael Pock, Horst Bischof
Sensors (Basel, Switzerland)
|
February 2, 2018
A Review of Depth and Normal Fusion Algorithms
Doris Antensteiner, Svorad Štolc, Thomas Pock
Journal of Mathematical Imaging and Vision
|
June 8, 2026
Product-of-Gaussian-mixture diffusion models for joint nonlinear MRI reconstruction
Laurenz Nagler, Martin Zach, Thomas Pock
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
January 30, 2014
Insights into analysis operator learning: from patch-based sparse models to higher order MRFs
Yunjin Chen, René Ranftl, Thomas Pock
IEEE Transactions on Medical Imaging
|
September 1, 2023
Stable Deep MRI Reconstruction Using Generative Priors
Martin Zach, Florian Knoll, Thomas Pock
Journal of Mathematical Imaging and Vision
|
April 18, 2020
Variational Networks: An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration
Alexander Effland, Erich Kobler, Karl Kunisch, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
November 2, 2021
Total Deep Variation: A Stable Regularization Method for Inverse Problems
Erich Kobler, Alexander Effland, Karl Kunisch, et al.
Magnetic Resonance in Medicine
|
January 26, 2011
Second order total generalized variation (TGV) for MRI
Florian Knoll, Kristian Bredies, Thomas Pock, et al.
Page
of 4