High-level Prior Models for Computer Vision

Project Information

HOMOVIS

Grant agreement ID: 640156

DOI

10.3030/640156

Project closed

EC signature date 20 May 2015

Start date 1 June 2015

End date 31 December 2020

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost

€ 1 473 525,00

EU contribution

€ 1 473 525,00

Coordinated by

TECHNISCHE UNIVERSITAET GRAZ
Austria

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Conference proceedings (15)

Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems

Author(s): Patrick Knobelreiter, Christian Sormann, Alexander Shekhovtsov, Friedrich Fraundorfer, Thomas Pock
Published in: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Page(s) 7897-7906, ISBN 978-1-7281-7168-5
Publisher: IEEE
DOI: 10.1109/cvpr42600.2020.00792

A Primal Dual Network for Low-Level Vision Problems

Author(s): Christoph Vogel, Thomas Pock
Published in: German Conference on Pattern Recognition, 2017, Page(s) 189-202
Publisher: Springer International Publishing
DOI: 10.1007/978-3-319-66709-6_16

Semantic 3D Reconstruction with Finite Element Bases

Author(s): Audrey Richard, Christoph Vogel, Maros Blaha, Thomas Pock, Konrad Schindler
Published in: British Machine Vision Conference (BMVC), 2017
Publisher: British Machine Vision Association

Real-time panoramic tracking for event cameras

Author(s): Christian Reinbacher, Gottfried Munda, Thomas Pock
Published in: 2017 IEEE International Conference on Computational Photography (ICCP), 2017, Page(s) 1-9, ISBN 978-1-5090-5745-0
Publisher: IEEE
DOI: 10.1109/ICCPHOT.2017.7951488

Scalable Full Flow with Learned Binary Descriptors

Author(s): Gottfried Munda, Alexander Shekhovtsov, Patrick Knöbelreiter, Thomas Pock
Published in: German Conference on Pattern Recognition, 2017, Page(s) 321-332
Publisher: Springer International Publishing
DOI: 10.1007/978-3-319-66709-6_26

Variational Networks: Connecting Variational Methods and Deep Learning

Author(s): Erich Kobler, Teresa Klatzer, Kerstin Hammernik, Thomas Pock
Published in: German Conference on Pattern Recognition, 2017, Page(s) 281-293
Publisher: Springer International Publishing
DOI: 10.1007/978-3-319-66709-6_23

End-to-End Training of Hybrid CNN-CRF Models for Stereo

Author(s): Patrick Knobelreiter, Christian Reinbacher, Alexander Shekhovtsov, Thomas Pock
Published in: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Page(s) 1456-1465, ISBN 978-1-5386-0457-1
Publisher: IEEE
DOI: 10.1109/CVPR.2017.159

Trainable Regularization for Multi-frame Superresolution

Author(s): Teresa Klatzer, Daniel Soukup, Erich Kobler, Kerstin Hammernik, Thomas Pock
Published in: German Conference on Pattern Recognition, 2017, Page(s) 90-100
Publisher: Springer International Publishing
DOI: 10.1007/978-3-319-66709-6_8

Neural EPI-Volume Networks for Shape from Light Field

Author(s): Stefan Heber, Wei Yu, Thomas Pock
Published in: 2017 IEEE International Conference on Computer Vision (ICCV), 2017, Page(s) 2271-2279, ISBN 978-1-5386-1032-9
Publisher: IEEE
DOI: 10.1109/ICCV.2017.247

Solving Dense Image Matching in Real-Time using Discrete-Continuous Optimization

Author(s): Alexander Shekhovtsov Christian Reinbacher Gottfried Graber Thomas Pock
Published in: 21st Computer Vision Winter Workshop, 2016, Page(s) 1-13, ISBN 978-961-90901-7-6
Publisher: Slovenian Pattern Recognition Society

Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-resolution Model for Multi-class Volumetric Labeling

Author(s): Maros Blaha, Christoph Vogel, Audrey Richard, Jan D. Wegner, Thomas Pock, Konrad Schindler
Published in: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, Page(s) 3176-3184, ISBN 978-1-4673-8851-1
Publisher: IEEE
DOI: 10.1109/CVPR.2016.346

Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization

Author(s): Alexander Kirillov Alexander Shekhovtsov Carsten Rother Bogdan Savchynskyy
Published in: Advances in Neural Information Processing Systems, 2016, Page(s) 1-9
Publisher: NIPS

Total Deep Variation for Linear Inverse Problems

Author(s): Erich Kobler, Alexander Effland, Karl Kunisch, Thomas Pock
Published in: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Page(s) 7546-7555, ISBN 978-1-7281-7168-5
Publisher: IEEE
DOI: 10.1109/cvpr42600.2020.00757

Fast decomposable submodular function minimization using constrained total variation

Author(s): Kumar, K S Sesh; Bach, Francis; Pock, Thomas
Published in: Neural Information Processing Systems, 2019, Issue 1, 2019
Publisher: NeurIPS

Variational Deep Learning for Low-Dose Computed Tomography

Author(s): Erich Kobler, Matthew Muckley, Baiyu Chen, Florian Knoll, Kerstin Hammernik, Thomas Pock, Daniel Sodickson, Ricardo Otazo
Published in: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, Page(s) 6687-6691, ISBN 978-1-5386-4658-8
Publisher: IEEE
DOI: 10.1109/icassp.2018.8462312

Peer reviewed articles (20)

Variational Networks: An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration

Author(s): Alexander Effland, Erich Kobler, Karl Kunisch, Thomas Pock
Published in: Journal of Mathematical Imaging and Vision, Issue 62/3, 2020, Page(s) 396-416, ISSN 0924-9907
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10851-019-00926-8

Joint reconstruction and classification of tumor cells and cell interactions in melanoma tissue sections with synthesized training data

Author(s): Alexander Effland, Erich Kobler, Anne Brandenburg, Teresa Klatzer, Leonie Neuhäuser, Michael Hölzel, Jennifer Landsberg, Thomas Pock, Martin Rumpf
Published in: International Journal of Computer Assisted Radiology and Surgery, Issue 14/4, 2019, Page(s) 587-599, ISSN 1861-6410
Publisher: Springer Verlag
DOI: 10.1007/s11548-019-01919-z

Convergence of the Time Discrete Metamorphosis Model on Hadamard Manifolds

Author(s): Alexander Effland; Martin Rumpf; Sebastian Neumayer
Published in: SIAM Journal on Imaging Sciences, Issue 13(2), 2020, Page(s) 557-588, ISSN 1936-4954
Publisher: Society for Industrial and Applied Mathematics
DOI: 10.1137/19m1247073

Adaptive FISTA for Nonconvex Optimization

Author(s): Peter Ochs, Thomas Pock
Published in: SIAM Journal on Optimization, Issue 29/4, 2019, Page(s) 2482-2503, ISSN 1052-6234
Publisher: Society for Industrial and Applied Mathematics
DOI: 10.1137/17m1156678

An inverse Eikonal method for identifying ventricular activation sequences from epicardial activation maps

Author(s): Thomas Grandits, Karli Gillette, Aurel Neic, Jason Bayer, Edward Vigmond, Thomas Pock, Gernot Plank
Published in: Journal of Computational Physics, Issue 419, 2020, Page(s) 109700, ISSN 0021-9991
Publisher: Academic Press
DOI: 10.1016/j.jcp.2020.109700

Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Nonconvex Optimization

Author(s): Mahesh Chandra Mukkamala, Peter Ochs, Thomas Pock, Shoham Sabach
Published in: SIAM Journal on Mathematics of Data Science, Issue 2/3, 2020, Page(s) 658-682, ISSN 2577-0187
Publisher: Society for Industrial and Applied Mathematics
DOI: 10.1137/19m1298007

Crouzeix–Raviart Approximation of the Total Variation on Simplicial Meshes

Author(s): Antonin Chambolle, Thomas Pock
Published in: Journal of Mathematical Imaging and Vision, Issue 62/6-7, 2020, Page(s) 872-899, ISSN 0924-9907
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10851-019-00939-3

Image Morphing in Deep Feature Spaces: Theory and Applications

Author(s): Alexander Effland, Erich Kobler, Thomas Pock, Marko Rajković, Martin Rumpf
Published in: Journal of Mathematical Imaging and Vision, Issue 63/2, 2021, Page(s) 309-327, ISSN 0924-9907
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10851-020-00974-5

A Convex Variational Model for Learning Convolutional Image Atoms from Incomplete Data

Author(s): A. Chambolle, M. Holler, T. Pock
Published in: Journal of Mathematical Imaging and Vision, Issue 62/3, 2020, Page(s) 417-444, ISSN 0924-9907
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10851-019-00919-7

Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration

Author(s): Yunjin Chen, Thomas Pock
Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence, Issue 39/6, 2017, Page(s) 1256-1272, ISSN 0162-8828
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TPAMI.2016.2596743

Learning a variational network for reconstruction of accelerated MRI data

Author(s): Kerstin Hammernik, Teresa Klatzer, Erich Kobler, Michael P. Recht, Daniel K. Sodickson, Thomas Pock, Florian Knoll
Published in: Magnetic Resonance in Medicine, 2017, ISSN 0740-3194
Publisher: John Wiley & Sons Inc.
DOI: 10.1002/mrm.26977

Assessment of the generalization of learned image reconstruction and the potential for transfer learning

Author(s): Florian Knoll, Kerstin Hammernik, Erich Kobler, Thomas Pock, Michael P Recht, Daniel K Sodickson
Published in: Magnetic Resonance in Medicine, 2018, ISSN 0740-3194
Publisher: John Wiley & Sons Inc.
DOI: 10.1002/mrm.27355

Variational 3D-PIV with sparse descriptors

Author(s): Katrin Lasinger, Christoph Vogel, Thomas Pock, Konrad Schindler
Published in: Measurement Science and Technology, Issue 29/6, 2018, Page(s) 064010, ISSN 0957-0233
Publisher: Institute of Physics and the Physical Society
DOI: 10.1088/1361-6501/aab5a0

Total Variation on a Tree

Author(s): Vladimir Kolmogorov, Thomas Pock, Michal Rolinek
Published in: SIAM Journal on Imaging Sciences, Issue 9/2, 2016, Page(s) 605-636, ISSN 1936-4954
Publisher: Society for Industrial and Applied Mathematics
DOI: 10.1137/15M1010257

Inertial Proximal Alternating Linearized Minimization (iPALM) for Nonconvex and Nonsmooth Problems

Author(s): Thomas Pock, Shoham Sabach
Published in: SIAM Journal on Imaging Sciences, Issue 9/4, 2016, Page(s) 1756-1787, ISSN 1936-4954
Publisher: Society for Industrial and Applied Mathematics
DOI: 10.1137/16M1064064

An introduction to continuous optimization for imaging

Author(s): Antonin Chambolle, Thomas Pock
Published in: Acta Numerica, Issue 25, 2016, Page(s) 161-319, ISSN 0962-4929
Publisher: Cambridge University Press
DOI: 10.1017/S096249291600009X

Acceleration of the PDHGM on Partially Strongly Convex Functions

Author(s): Tuomo Valkonen, Thomas Pock
Published in: Journal of Mathematical Imaging and Vision, 2017, ISSN 0924-9907
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10851-016-0692-2

Automated integer programming based separation of arteries and veins from thoracic CT images

Author(s): Christian Payer, Michael Pienn, Zoltán Bálint, Alexander Shekhovtsov, Emina Talakic, Eszter Nagy, Andrea Olschewski, Horst Olschewski, Martin Urschler
Published in: Medical Image Analysis, Issue 34, 2016, Page(s) 109-122, ISSN 1361-8415
Publisher: Elsevier BV
DOI: 10.1016/j.media.2016.05.002

Total roto-translational variation

Author(s): Antonin Chambolle, Thomas Pock
Published in: Numerische Mathematik, Issue 142/3, 2019, Page(s) 611-666, ISSN 0029-599X
Publisher: Springer Verlag
DOI: 10.1007/s00211-019-01026-w

Assessment of the generalization of learned image reconstruction and the potential for transfer learning

Author(s): Florian Knoll, Kerstin Hammernik, Erich Kobler, Thomas Pock, Michael P Recht, Daniel K Sodickson
Published in: Magnetic Resonance in Medicine, Issue 81/1, 2019, Page(s) 116-128, ISSN 0740-3194
Publisher: John Wiley & Sons Inc.
DOI: 10.1002/mrm.27355

Book chapters (6)

Approximating the Total Variation with Finite Differences or Finite Elements

Author(s): Chambolle, Antonin; Pock, Thomas
Published in: 2020, Issue 22, 2020, Page(s) 383-417, ISSN 1570-8659
Publisher: Elsevier
DOI: 10.1016/bs.hna.2020.10.005

Learning Energy Based Inpainting for Optical Flow

Author(s): Christoph Vogel, Patrick Knöbelreiter, Thomas Pock
Published in: Computer Vision – ACCV 2018 - 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part VI, Issue 11366, 2019, Page(s) 340-356, ISBN 978-3-030-20875-2
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-20876-9_22

3D Fluid Flow Estimation with Integrated Particle Reconstruction

Author(s): Katrin Lasinger, Christoph Vogel, Thomas Pock, Konrad Schindler
Published in: Pattern Recognition - 40th German Conference, GCPR 2018, Stuttgart, Germany, October 9-12, 2018, Proceedings, Issue 11269, 2019, Page(s) 315-332, ISBN 978-3-030-12938-5
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-12939-2_22

Complexity of Discrete Energy Minimization Problems

Author(s): Mengtian Li, Alexander Shekhovtsov, Daniel Huber
Published in: Computer Vision – ECCV 2016, 2016, Page(s) 834-852, ISBN 978-3-319-46475-6
Publisher: Springer International Publishing
DOI: 10.1007/978-3-319-46475-6_51

Improving Optical Flow on a Pyramid Level

Author(s): Markus Hofinger, Samuel Rota Bulò, Lorenzo Porzi, Arno Knapitsch, Thomas Pock, Peter Kontschieder
Published in: Computer Vision – ECCV 2020 - 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXVIII, Issue 12373, 2020, Page(s) 770-786, ISBN 978-3-030-58603-4
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-58604-1_46

Learned Collaborative Stereo Refinement

Author(s): Patrick Knöbelreiter, Thomas Pock
Published in: Pattern Recognition - 41st DAGM German Conference, DAGM GCPR 2019, Dortmund, Germany, September 10–13, 2019, Proceedings, Issue 11824, 2019, Page(s) 3-17, ISBN 978-3-030-33675-2
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-33676-9_1

Intellectual Property Rights

Patent (1)

SYSTEM, METHOD AND COMPUTER-ACCESSIBLE MEDIUM FOR LEARNING AN OPTIMIZED VARIATIONAL NETWORK FOR MEDICAL IMAGE RECONSTRUCTION

Application/Publication number: 20 1715495511
Date: 2017-04-24
Applicant(s): TECHNISCHE UNIVERSITAET GRAZ