High-level Prior Models for Computer Vision

Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems

Autorzy: Patrick Knobelreiter, Christian Sormann, Alexander Shekhovtsov, Friedrich Fraundorfer, Thomas Pock
Opublikowane w: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Strona(/y) 7897-7906, ISBN 978-1-7281-7168-5
Wydawca: IEEE
DOI: 10.1109/cvpr42600.2020.00792

A Primal Dual Network for Low-Level Vision Problems

Autorzy: Christoph Vogel, Thomas Pock
Opublikowane w: German Conference on Pattern Recognition, 2017, Strona(/y) 189-202
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-319-66709-6_16

Semantic 3D Reconstruction with Finite Element Bases

Autorzy: Audrey Richard, Christoph Vogel, Maros Blaha, Thomas Pock, Konrad Schindler
Opublikowane w: British Machine Vision Conference (BMVC), 2017
Wydawca: British Machine Vision Association

Real-time panoramic tracking for event cameras

Autorzy: Christian Reinbacher, Gottfried Munda, Thomas Pock
Opublikowane w: 2017 IEEE International Conference on Computational Photography (ICCP), 2017, Strona(/y) 1-9, ISBN 978-1-5090-5745-0
Wydawca: IEEE
DOI: 10.1109/ICCPHOT.2017.7951488

Scalable Full Flow with Learned Binary Descriptors

Autorzy: Gottfried Munda, Alexander Shekhovtsov, Patrick Knöbelreiter, Thomas Pock
Opublikowane w: German Conference on Pattern Recognition, 2017, Strona(/y) 321-332
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-319-66709-6_26

Variational Networks: Connecting Variational Methods and Deep Learning

Autorzy: Erich Kobler, Teresa Klatzer, Kerstin Hammernik, Thomas Pock
Opublikowane w: German Conference on Pattern Recognition, 2017, Strona(/y) 281-293
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-319-66709-6_23

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

Autorzy: Patrick Knobelreiter, Christian Reinbacher, Alexander Shekhovtsov, Thomas Pock
Opublikowane w: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Strona(/y) 1456-1465, ISBN 978-1-5386-0457-1
Wydawca: IEEE
DOI: 10.1109/CVPR.2017.159

Trainable Regularization for Multi-frame Superresolution

Autorzy: Teresa Klatzer, Daniel Soukup, Erich Kobler, Kerstin Hammernik, Thomas Pock
Opublikowane w: German Conference on Pattern Recognition, 2017, Strona(/y) 90-100
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-319-66709-6_8

Neural EPI-Volume Networks for Shape from Light Field

Autorzy: Stefan Heber, Wei Yu, Thomas Pock
Opublikowane w: 2017 IEEE International Conference on Computer Vision (ICCV), 2017, Strona(/y) 2271-2279, ISBN 978-1-5386-1032-9
Wydawca: IEEE
DOI: 10.1109/ICCV.2017.247

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

Autorzy: Alexander Shekhovtsov Christian Reinbacher Gottfried Graber Thomas Pock
Opublikowane w: 21st Computer Vision Winter Workshop, 2016, Strona(/y) 1-13, ISBN 978-961-90901-7-6
Wydawca: Slovenian Pattern Recognition Society

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

Autorzy: Maros Blaha, Christoph Vogel, Audrey Richard, Jan D. Wegner, Thomas Pock, Konrad Schindler
Opublikowane w: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, Strona(/y) 3176-3184, ISBN 978-1-4673-8851-1
Wydawca: IEEE
DOI: 10.1109/CVPR.2016.346

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

Autorzy: Alexander Kirillov Alexander Shekhovtsov Carsten Rother Bogdan Savchynskyy
Opublikowane w: Advances in Neural Information Processing Systems, 2016, Strona(/y) 1-9
Wydawca: NIPS

Total Deep Variation for Linear Inverse Problems

Autorzy: Erich Kobler, Alexander Effland, Karl Kunisch, Thomas Pock
Opublikowane w: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Strona(/y) 7546-7555, ISBN 978-1-7281-7168-5
Wydawca: IEEE
DOI: 10.1109/cvpr42600.2020.00757

Fast decomposable submodular function minimization using constrained total variation

Autorzy: Kumar, K S Sesh; Bach, Francis; Pock, Thomas
Opublikowane w: Neural Information Processing Systems, 2019, Numer 1, 2019
Wydawca: NeurIPS

Variational Deep Learning for Low-Dose Computed Tomography

Autorzy: Erich Kobler, Matthew Muckley, Baiyu Chen, Florian Knoll, Kerstin Hammernik, Thomas Pock, Daniel Sodickson, Ricardo Otazo
Opublikowane w: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, Strona(/y) 6687-6691, ISBN 978-1-5386-4658-8
Wydawca: IEEE
DOI: 10.1109/icassp.2018.8462312

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

Autorzy: Alexander Effland, Erich Kobler, Karl Kunisch, Thomas Pock
Opublikowane w: Journal of Mathematical Imaging and Vision, Numer 62/3, 2020, Strona(/y) 396-416, ISSN 0924-9907
Wydawca: 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

Autorzy: Alexander Effland, Erich Kobler, Anne Brandenburg, Teresa Klatzer, Leonie Neuhäuser, Michael Hölzel, Jennifer Landsberg, Thomas Pock, Martin Rumpf
Opublikowane w: International Journal of Computer Assisted Radiology and Surgery, Numer 14/4, 2019, Strona(/y) 587-599, ISSN 1861-6410
Wydawca: Springer Verlag
DOI: 10.1007/s11548-019-01919-z

Convergence of the Time Discrete Metamorphosis Model on Hadamard Manifolds

Autorzy: Alexander Effland; Martin Rumpf; Sebastian Neumayer
Opublikowane w: SIAM Journal on Imaging Sciences, Numer 13(2), 2020, Strona(/y) 557-588, ISSN 1936-4954
Wydawca: Society for Industrial and Applied Mathematics
DOI: 10.1137/19m1247073

Adaptive FISTA for Nonconvex Optimization

Autorzy: Peter Ochs, Thomas Pock
Opublikowane w: SIAM Journal on Optimization, Numer 29/4, 2019, Strona(/y) 2482-2503, ISSN 1052-6234
Wydawca: Society for Industrial and Applied Mathematics
DOI: 10.1137/17m1156678

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

Autorzy: Thomas Grandits, Karli Gillette, Aurel Neic, Jason Bayer, Edward Vigmond, Thomas Pock, Gernot Plank
Opublikowane w: Journal of Computational Physics, Numer 419, 2020, Strona(/y) 109700, ISSN 0021-9991
Wydawca: Academic Press
DOI: 10.1016/j.jcp.2020.109700

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

Autorzy: Mahesh Chandra Mukkamala, Peter Ochs, Thomas Pock, Shoham Sabach
Opublikowane w: SIAM Journal on Mathematics of Data Science, Numer 2/3, 2020, Strona(/y) 658-682, ISSN 2577-0187
Wydawca: Society for Industrial and Applied Mathematics
DOI: 10.1137/19m1298007

Crouzeix–Raviart Approximation of the Total Variation on Simplicial Meshes

Autorzy: Antonin Chambolle, Thomas Pock
Opublikowane w: Journal of Mathematical Imaging and Vision, Numer 62/6-7, 2020, Strona(/y) 872-899, ISSN 0924-9907
Wydawca: Kluwer Academic Publishers
DOI: 10.1007/s10851-019-00939-3

Image Morphing in Deep Feature Spaces: Theory and Applications

Autorzy: Alexander Effland, Erich Kobler, Thomas Pock, Marko Rajković, Martin Rumpf
Opublikowane w: Journal of Mathematical Imaging and Vision, Numer 63/2, 2021, Strona(/y) 309-327, ISSN 0924-9907
Wydawca: Kluwer Academic Publishers
DOI: 10.1007/s10851-020-00974-5

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

Autorzy: A. Chambolle, M. Holler, T. Pock
Opublikowane w: Journal of Mathematical Imaging and Vision, Numer 62/3, 2020, Strona(/y) 417-444, ISSN 0924-9907
Wydawca: Kluwer Academic Publishers
DOI: 10.1007/s10851-019-00919-7

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

Autorzy: Yunjin Chen, Thomas Pock
Opublikowane w: IEEE Transactions on Pattern Analysis and Machine Intelligence, Numer 39/6, 2017, Strona(/y) 1256-1272, ISSN 0162-8828
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TPAMI.2016.2596743

Learning a variational network for reconstruction of accelerated MRI data

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

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

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

Variational 3D-PIV with sparse descriptors

Autorzy: Katrin Lasinger, Christoph Vogel, Thomas Pock, Konrad Schindler
Opublikowane w: Measurement Science and Technology, Numer 29/6, 2018, Strona(/y) 064010, ISSN 0957-0233
Wydawca: Institute of Physics and the Physical Society
DOI: 10.1088/1361-6501/aab5a0

Total Variation on a Tree

Autorzy: Vladimir Kolmogorov, Thomas Pock, Michal Rolinek
Opublikowane w: SIAM Journal on Imaging Sciences, Numer 9/2, 2016, Strona(/y) 605-636, ISSN 1936-4954
Wydawca: Society for Industrial and Applied Mathematics
DOI: 10.1137/15M1010257

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

Autorzy: Thomas Pock, Shoham Sabach
Opublikowane w: SIAM Journal on Imaging Sciences, Numer 9/4, 2016, Strona(/y) 1756-1787, ISSN 1936-4954
Wydawca: Society for Industrial and Applied Mathematics
DOI: 10.1137/16M1064064

An introduction to continuous optimization for imaging

Autorzy: Antonin Chambolle, Thomas Pock
Opublikowane w: Acta Numerica, Numer 25, 2016, Strona(/y) 161-319, ISSN 0962-4929
Wydawca: Cambridge University Press
DOI: 10.1017/S096249291600009X

Acceleration of the PDHGM on Partially Strongly Convex Functions

Autorzy: Tuomo Valkonen, Thomas Pock
Opublikowane w: Journal of Mathematical Imaging and Vision, 2017, ISSN 0924-9907
Wydawca: Kluwer Academic Publishers
DOI: 10.1007/s10851-016-0692-2

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

Autorzy: Christian Payer, Michael Pienn, Zoltán Bálint, Alexander Shekhovtsov, Emina Talakic, Eszter Nagy, Andrea Olschewski, Horst Olschewski, Martin Urschler
Opublikowane w: Medical Image Analysis, Numer 34, 2016, Strona(/y) 109-122, ISSN 1361-8415
Wydawca: Elsevier BV
DOI: 10.1016/j.media.2016.05.002

Total roto-translational variation

Autorzy: Antonin Chambolle, Thomas Pock
Opublikowane w: Numerische Mathematik, Numer 142/3, 2019, Strona(/y) 611-666, ISSN 0029-599X
Wydawca: Springer Verlag
DOI: 10.1007/s00211-019-01026-w

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

Autorzy: Florian Knoll, Kerstin Hammernik, Erich Kobler, Thomas Pock, Michael P Recht, Daniel K Sodickson
Opublikowane w: Magnetic Resonance in Medicine, Numer 81/1, 2019, Strona(/y) 116-128, ISSN 0740-3194
Wydawca: John Wiley & Sons Inc.
DOI: 10.1002/mrm.27355

Approximating the Total Variation with Finite Differences or Finite Elements

Autorzy: Chambolle, Antonin; Pock, Thomas
Opublikowane w: 2020, Numer 22, 2020, Strona(/y) 383-417, ISSN 1570-8659
Wydawca: Elsevier
DOI: 10.1016/bs.hna.2020.10.005

Learning Energy Based Inpainting for Optical Flow

Autorzy: Christoph Vogel, Patrick Knöbelreiter, Thomas Pock
Opublikowane w: Computer Vision – ACCV 2018 - 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part VI, Numer 11366, 2019, Strona(/y) 340-356, ISBN 978-3-030-20875-2
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-20876-9_22

3D Fluid Flow Estimation with Integrated Particle Reconstruction

Autorzy: Katrin Lasinger, Christoph Vogel, Thomas Pock, Konrad Schindler
Opublikowane w: Pattern Recognition - 40th German Conference, GCPR 2018, Stuttgart, Germany, October 9-12, 2018, Proceedings, Numer 11269, 2019, Strona(/y) 315-332, ISBN 978-3-030-12938-5
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-12939-2_22

Complexity of Discrete Energy Minimization Problems

Autorzy: Mengtian Li, Alexander Shekhovtsov, Daniel Huber
Opublikowane w: Computer Vision – ECCV 2016, 2016, Strona(/y) 834-852, ISBN 978-3-319-46475-6
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-319-46475-6_51

Improving Optical Flow on a Pyramid Level

Autorzy: Markus Hofinger, Samuel Rota Bulò, Lorenzo Porzi, Arno Knapitsch, Thomas Pock, Peter Kontschieder
Opublikowane w: Computer Vision – ECCV 2020 - 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXVIII, Numer 12373, 2020, Strona(/y) 770-786, ISBN 978-3-030-58603-4
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-58604-1_46

Learned Collaborative Stereo Refinement

Autorzy: Patrick Knöbelreiter, Thomas Pock
Opublikowane w: Pattern Recognition - 41st DAGM German Conference, DAGM GCPR 2019, Dortmund, Germany, September 10–13, 2019, Proceedings, Numer 11824, 2019, Strona(/y) 3-17, ISBN 978-3-030-33675-2
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-33676-9_1

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