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.
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Optical flows
Engineering & Materials Science
Image reconstruction
Engineering & Materials Science
Cameras
Engineering & Materials Science
Neural networks
Engineering & Materials Science
Image processing
Engineering & Materials Science
Computer vision
Engineering & Materials Science
Magnetic resonance
Engineering & Materials Science
Gradient methods
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2004 2019
3D Fluid Flow Estimation with Integrated Particle Reconstruction
Lasinger, K., Vogel, C., Pock, T. & Schindler, K., 1 Jan 2019, Pattern Recognition - 40th German Conference, GCPR 2018, Proceedings. Fritz, M., Bruhn, A. & Brox, T. (eds.). Springer-Verlag Italia, p. 315-332 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11269 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Fluid Flow
Flow of fluids
Motion estimation
Fluids
Motion
Adaptive FISTA for nonconvex optimization
Ochs, P. & Pock, T., 1 Jan 2019, In : SIAM Journal on Optimization. 29, 4, p. 2482-2503 22 p.Research output: Contribution to journal › Article › Research › peer-review
Proximal Methods
Gradient methods
Nonconvex Optimization
Newton-Raphson method
Quasi-Newton Method
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
Combining Variational Optimization and Deep Learning for efficient ASL image quality enhancement
Schwarzbach, M., Spann, S. M., Hammernik, K., Aigner, C. S., Pock, T. & Stollberger, R., 2019, Magnetic Resonance Materials in Physics, Biology and Medicine.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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
Activities 2009 2019
Earliest Activation Site Identification through Geodesic Path Computation
Thomas Andreas Grandits (Speaker), Simone Pezzuto (Contributor), Thomas Pock (Contributor), Gernot Plank (Contributor), Rolf Krause (Contributor)9 Dec 2019 → 10 Dec 2019
Activity: Talk or presentation › Poster presentation › Science to science
Total Roto-translational Variation
Thomas Pock (Speaker)22 Mar 2018
Activity: Talk or presentation › Talk at conference or symposium › Science to science
Variational models for Computer Vi- sion Handcrafting vs. Learning
Thomas Pock (Speaker)1 Mar 2018
Activity: Talk or presentation › Talk at conference or symposium › Science to science
Learning using discrete labeling models
Thomas Pock (Speaker)6 Jun 2018
Activity: Talk or presentation › Talk at conference or symposium › Science to science
Learning with Structured Models
Thomas Pock (Speaker)5 Dec 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
GCPR Best Paper Award
Patrick Knöbelreiter (Recipient) & Thomas Pock (Recipient), 13 Sep 2019
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
Projects 2004 2022
ReColour - Efficient colouring of films in cinema quality based on novel methods of machine learning
1/01/20 → 31/12/22
Project: Research project
MIDAS-Inflammatory Mechanisms in Diabetoes Unvoverd by Tissue Imaging and Machine Learning
1/01/20 → 31/12/22
Project: Research project
MikroMet-AI - Kl-based microstructure assessment of metallic surfaces
1/01/20 → 31/12/21
Project: Research project
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