High-level Prior Models for Computer Vision

Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems

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

A Primal Dual Network for Low-Level Vision Problems

Autori: Christoph Vogel, Thomas Pock
Pubblicato in: German Conference on Pattern Recognition, 2017, Pagina/e 189-202
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-66709-6_16

Semantic 3D Reconstruction with Finite Element Bases

Autori: Audrey Richard, Christoph Vogel, Maros Blaha, Thomas Pock, Konrad Schindler
Pubblicato in: British Machine Vision Conference (BMVC), 2017
Editore: British Machine Vision Association

Real-time panoramic tracking for event cameras

Autori: Christian Reinbacher, Gottfried Munda, Thomas Pock
Pubblicato in: 2017 IEEE International Conference on Computational Photography (ICCP), 2017, Pagina/e 1-9, ISBN 978-1-5090-5745-0
Editore: IEEE
DOI: 10.1109/ICCPHOT.2017.7951488

Scalable Full Flow with Learned Binary Descriptors

Autori: Gottfried Munda, Alexander Shekhovtsov, Patrick Knöbelreiter, Thomas Pock
Pubblicato in: German Conference on Pattern Recognition, 2017, Pagina/e 321-332
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-66709-6_26

Variational Networks: Connecting Variational Methods and Deep Learning

Autori: Erich Kobler, Teresa Klatzer, Kerstin Hammernik, Thomas Pock
Pubblicato in: German Conference on Pattern Recognition, 2017, Pagina/e 281-293
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-66709-6_23

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

Autori: Patrick Knobelreiter, Christian Reinbacher, Alexander Shekhovtsov, Thomas Pock
Pubblicato in: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Pagina/e 1456-1465, ISBN 978-1-5386-0457-1
Editore: IEEE
DOI: 10.1109/CVPR.2017.159

Trainable Regularization for Multi-frame Superresolution

Autori: Teresa Klatzer, Daniel Soukup, Erich Kobler, Kerstin Hammernik, Thomas Pock
Pubblicato in: German Conference on Pattern Recognition, 2017, Pagina/e 90-100
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-66709-6_8

Neural EPI-Volume Networks for Shape from Light Field

Autori: Stefan Heber, Wei Yu, Thomas Pock
Pubblicato in: 2017 IEEE International Conference on Computer Vision (ICCV), 2017, Pagina/e 2271-2279, ISBN 978-1-5386-1032-9
Editore: IEEE
DOI: 10.1109/ICCV.2017.247

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

Autori: Alexander Shekhovtsov Christian Reinbacher Gottfried Graber Thomas Pock
Pubblicato in: 21st Computer Vision Winter Workshop, 2016, Pagina/e 1-13, ISBN 978-961-90901-7-6
Editore: Slovenian Pattern Recognition Society

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

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

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

Autori: Alexander Kirillov Alexander Shekhovtsov Carsten Rother Bogdan Savchynskyy
Pubblicato in: Advances in Neural Information Processing Systems, 2016, Pagina/e 1-9
Editore: NIPS

Total Deep Variation for Linear Inverse Problems

Autori: Erich Kobler, Alexander Effland, Karl Kunisch, Thomas Pock
Pubblicato in: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Pagina/e 7546-7555, ISBN 978-1-7281-7168-5
Editore: IEEE
DOI: 10.1109/cvpr42600.2020.00757

Fast decomposable submodular function minimization using constrained total variation

Autori: Kumar, K S Sesh; Bach, Francis; Pock, Thomas
Pubblicato in: Neural Information Processing Systems, 2019, Numero 1, 2019
Editore: NeurIPS

Variational Deep Learning for Low-Dose Computed Tomography

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

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

Autori: Alexander Effland, Erich Kobler, Karl Kunisch, Thomas Pock
Pubblicato in: Journal of Mathematical Imaging and Vision, Numero 62/3, 2020, Pagina/e 396-416, ISSN 0924-9907
Editore: 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

Autori: Alexander Effland, Erich Kobler, Anne Brandenburg, Teresa Klatzer, Leonie Neuhäuser, Michael Hölzel, Jennifer Landsberg, Thomas Pock, Martin Rumpf
Pubblicato in: International Journal of Computer Assisted Radiology and Surgery, Numero 14/4, 2019, Pagina/e 587-599, ISSN 1861-6410
Editore: Springer Verlag
DOI: 10.1007/s11548-019-01919-z

Convergence of the Time Discrete Metamorphosis Model on Hadamard Manifolds

Autori: Alexander Effland; Martin Rumpf; Sebastian Neumayer
Pubblicato in: SIAM Journal on Imaging Sciences, Numero 13(2), 2020, Pagina/e 557-588, ISSN 1936-4954
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/19m1247073

Adaptive FISTA for Nonconvex Optimization

Autori: Peter Ochs, Thomas Pock
Pubblicato in: SIAM Journal on Optimization, Numero 29/4, 2019, Pagina/e 2482-2503, ISSN 1052-6234
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/17m1156678

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

Autori: Thomas Grandits, Karli Gillette, Aurel Neic, Jason Bayer, Edward Vigmond, Thomas Pock, Gernot Plank
Pubblicato in: Journal of Computational Physics, Numero 419, 2020, Pagina/e 109700, ISSN 0021-9991
Editore: Academic Press
DOI: 10.1016/j.jcp.2020.109700

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

Autori: Mahesh Chandra Mukkamala, Peter Ochs, Thomas Pock, Shoham Sabach
Pubblicato in: SIAM Journal on Mathematics of Data Science, Numero 2/3, 2020, Pagina/e 658-682, ISSN 2577-0187
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/19m1298007

Crouzeix–Raviart Approximation of the Total Variation on Simplicial Meshes

Autori: Antonin Chambolle, Thomas Pock
Pubblicato in: Journal of Mathematical Imaging and Vision, Numero 62/6-7, 2020, Pagina/e 872-899, ISSN 0924-9907
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10851-019-00939-3

Image Morphing in Deep Feature Spaces: Theory and Applications

Autori: Alexander Effland, Erich Kobler, Thomas Pock, Marko Rajković, Martin Rumpf
Pubblicato in: Journal of Mathematical Imaging and Vision, Numero 63/2, 2021, Pagina/e 309-327, ISSN 0924-9907
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10851-020-00974-5

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

Autori: A. Chambolle, M. Holler, T. Pock
Pubblicato in: Journal of Mathematical Imaging and Vision, Numero 62/3, 2020, Pagina/e 417-444, ISSN 0924-9907
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10851-019-00919-7

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

Autori: Yunjin Chen, Thomas Pock
Pubblicato in: IEEE Transactions on Pattern Analysis and Machine Intelligence, Numero 39/6, 2017, Pagina/e 1256-1272, ISSN 0162-8828
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TPAMI.2016.2596743

Learning a variational network for reconstruction of accelerated MRI data

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

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

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

Variational 3D-PIV with sparse descriptors

Autori: Katrin Lasinger, Christoph Vogel, Thomas Pock, Konrad Schindler
Pubblicato in: Measurement Science and Technology, Numero 29/6, 2018, Pagina/e 064010, ISSN 0957-0233
Editore: Institute of Physics and the Physical Society
DOI: 10.1088/1361-6501/aab5a0

Total Variation on a Tree

Autori: Vladimir Kolmogorov, Thomas Pock, Michal Rolinek
Pubblicato in: SIAM Journal on Imaging Sciences, Numero 9/2, 2016, Pagina/e 605-636, ISSN 1936-4954
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/15M1010257

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

Autori: Thomas Pock, Shoham Sabach
Pubblicato in: SIAM Journal on Imaging Sciences, Numero 9/4, 2016, Pagina/e 1756-1787, ISSN 1936-4954
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/16M1064064

An introduction to continuous optimization for imaging

Autori: Antonin Chambolle, Thomas Pock
Pubblicato in: Acta Numerica, Numero 25, 2016, Pagina/e 161-319, ISSN 0962-4929
Editore: Cambridge University Press
DOI: 10.1017/S096249291600009X

Acceleration of the PDHGM on Partially Strongly Convex Functions

Autori: Tuomo Valkonen, Thomas Pock
Pubblicato in: Journal of Mathematical Imaging and Vision, 2017, ISSN 0924-9907
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10851-016-0692-2

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

Autori: Christian Payer, Michael Pienn, Zoltán Bálint, Alexander Shekhovtsov, Emina Talakic, Eszter Nagy, Andrea Olschewski, Horst Olschewski, Martin Urschler
Pubblicato in: Medical Image Analysis, Numero 34, 2016, Pagina/e 109-122, ISSN 1361-8415
Editore: Elsevier BV
DOI: 10.1016/j.media.2016.05.002

Total roto-translational variation

Autori: Antonin Chambolle, Thomas Pock
Pubblicato in: Numerische Mathematik, Numero 142/3, 2019, Pagina/e 611-666, ISSN 0029-599X
Editore: Springer Verlag
DOI: 10.1007/s00211-019-01026-w

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

Autori: Florian Knoll, Kerstin Hammernik, Erich Kobler, Thomas Pock, Michael P Recht, Daniel K Sodickson
Pubblicato in: Magnetic Resonance in Medicine, Numero 81/1, 2019, Pagina/e 116-128, ISSN 0740-3194
Editore: John Wiley & Sons Inc.
DOI: 10.1002/mrm.27355

Approximating the Total Variation with Finite Differences or Finite Elements

Autori: Chambolle, Antonin; Pock, Thomas
Pubblicato in: 2020, Numero 22, 2020, Pagina/e 383-417, ISSN 1570-8659
Editore: Elsevier
DOI: 10.1016/bs.hna.2020.10.005

Learning Energy Based Inpainting for Optical Flow

Autori: Christoph Vogel, Patrick Knöbelreiter, Thomas Pock
Pubblicato in: Computer Vision – ACCV 2018 - 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part VI, Numero 11366, 2019, Pagina/e 340-356, ISBN 978-3-030-20875-2
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-20876-9_22

3D Fluid Flow Estimation with Integrated Particle Reconstruction

Autori: Katrin Lasinger, Christoph Vogel, Thomas Pock, Konrad Schindler
Pubblicato in: Pattern Recognition - 40th German Conference, GCPR 2018, Stuttgart, Germany, October 9-12, 2018, Proceedings, Numero 11269, 2019, Pagina/e 315-332, ISBN 978-3-030-12938-5
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-12939-2_22

Complexity of Discrete Energy Minimization Problems

Autori: Mengtian Li, Alexander Shekhovtsov, Daniel Huber
Pubblicato in: Computer Vision – ECCV 2016, 2016, Pagina/e 834-852, ISBN 978-3-319-46475-6
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-46475-6_51

Improving Optical Flow on a Pyramid Level

Autori: Markus Hofinger, Samuel Rota Bulò, Lorenzo Porzi, Arno Knapitsch, Thomas Pock, Peter Kontschieder
Pubblicato in: Computer Vision – ECCV 2020 - 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXVIII, Numero 12373, 2020, Pagina/e 770-786, ISBN 978-3-030-58603-4
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-58604-1_46

Learned Collaborative Stereo Refinement

Autori: Patrick Knöbelreiter, Thomas Pock
Pubblicato in: Pattern Recognition - 41st DAGM German Conference, DAGM GCPR 2019, Dortmund, Germany, September 10–13, 2019, Proceedings, Numero 11824, 2019, Pagina/e 3-17, ISBN 978-3-030-33675-2
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-33676-9_1

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