Research Output per year
Fingerprint Dive into the research topics where Thomas Pock is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 3 Similar Profiles
Optical flows
Engineering & Materials Science
Image reconstruction
Engineering & Materials Science
Cameras
Engineering & Materials Science
Neural networks
Engineering & Materials Science
Computer vision
Engineering & Materials Science
Image processing
Engineering & Materials Science
Magnetic resonance
Engineering & Materials Science
Image Restoration
Mathematics
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2004 2019
An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration
Effland, A., Kobler, E., Kunisch, K. & Pock, T., 2019, (Submitted) In : Journal of Mathematical Imaging and Vision. 32 p.Research output: Contribution to journal › Article › Research › peer-review
Early Stopping
Image denoising
Gradient Flow
Image Restoration
optimal control
Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Non-Convex Optimization
Mukkamala, M. C., Ochs, P., Pock, T. & Sabach, S., 2019, In : arXiv.org e-Print archive.Research output: Contribution to journal › Article › Research › peer-review
Extrapolation
Gradient methods
Learning systems
Image processing
Experiments
Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction
Knoll, F., Hammernik, K., Zhang, C., Moeller, S., Pock, T., Sodickson, D. K. & Akcakaya, M., 2019, In : arXiv.org e-Print archive.Research output: Contribution to journal › Article › Research
Magnetic resonance
Image reconstruction
Imaging techniques
Learning systems
Neural networks
Determination of the moisture change behavior of cross-laminated timber using an optical flow based computer vision technique
Hofinger, M., Pock, T. & Moosbrugger, T., 2019, In : Wood Material Science and Engineering. 14, 5, p. 332-341Research output: Contribution to journal › Article › Research › peer-review
Optical flows
Timber
Computer vision
Moisture
Swelling
Fast Decomposable Submodular Function Minimization using Constrained Total Variation
Kumar, KS., Bach, F. & Pock, T., 2019, In : arXiv.org e-Print archive.Research output: Contribution to journal › Article › Research › peer-review
Set theory
Activities 2009 2018
Learning better models for inverse problems in imaging
Thomas Pock (Speaker)15 Jun 2018
Activity: Talk or presentation › Talk at conference or symposium › Science to science
From variational models to variational networks
Thomas Pock (Speaker)6 Mar 2018
Activity: Talk or presentation › Talk at conference or symposium › Science to science
Learning better models for inverse problems in imaging
Thomas Pock (Speaker)29 Jun 2018
Activity: Talk or presentation › Talk at conference or symposium › Science to science
Deep Learning: Everything You Want to Know Nuts & Bolts: How Does DL Work?
Thomas Pock (Speaker)16 Jun 2018
Activity: Talk or presentation › Talk at conference or symposium › Science to science
Learning better models for inverse problems in imaging
Thomas Pock (Speaker)7 Jun 2018
Activity: Talk or presentation › Talk at conference or symposium › Science to science
Prizes
Best Paper Award
Rene Ranftl (Recipient), Thomas Pock (Recipient) & Yunjin Chen (Recipient), 2014
Prize: Prizes / Medals / Awards
GCPR 2017 Best Paper Award
Erich Kobler (Recipient), Kerstin Hammernik (Recipient), Thomas Pock (Recipient) & Teresa Klatzer (Recipient), 15 Sep 2017
Prize: Prizes / Medals / Awards
GCPR 2018 Honorable Mention
Katrin Lasinger (Recipient), Christoph Vogel (Recipient), Thomas Pock (Recipient) & Konrad Schindler (Recipient), 2018
Prize: Prizes / Medals / Awards
Honourable Mention Award
Martin Urschler (Recipient), Thomas Ebner (Recipient), Darko Stern (Recipient), Thomas Pock (Recipient) & Kerstin Hammernik (Recipient), 14 Sep 2014
Prize: Prizes / Medals / Awards
Magna cum Laude Merit Award
Kerstin Hammernik (Recipient), Florian Knoll (Recipient), Daniel Sodickson (Recipient) & Thomas Pock (Recipient), 22 Apr 2016
Prize: Prizes / Medals / Awards
Projects 2004 2020
EU - HOMOVIS - High Level Prior Models for Computer Vision
1/06/15 → 31/05/20
Project: Research project
NIH - LOVIR - Learning an Optimized Variational Network for Medical Image Reconstruction
1/10/18 → 30/06/19
Project: Research project
FWF - BIVISION - Bilevel Optimization for Computer Vision
1/10/13 → 30/09/18
Project: Research project
FWF - EANOI - Efficient Algorithms for Nonsmooth Optimization in Imaging
1/04/13 → 31/08/17
Project: Research project