Thomas Pock

Univ.-Prof. Dipl.-Ing. Dr.techn.

20042020
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Research Output 2004 2019

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Conference contribution
2019

Time Discrete Geodesics in Deep Feature Spaces for Image Morphing

Effland, A., Kobler, E., Pock, T. & Rumpf, M., 2019, Scale Space and Variational Methods in Computer Vision: SSVM 2019. Lellmann, J., Burger, M. & Modersitzki, J. (eds.). Cham: Springer, p. 171-182 (Lecture Notes in Computer Science; vol. 11603).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Splines
Computer vision
Interpolation
Textures
Semantics
2018

Optimizing Wavelet Bases for Sparser Representations

Grandits, T. A. & Pock, T., 2018, Energy Minimization Methods in Computer Vision and Pattern Recognition: EMMCVPR 2017. Pelillo, M. & Hancock, E. (eds.). Cham: Springer, p. 249-262 (Lecture Notes in Computer Science; vol. 10746).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Variational Deep Learning for Low-Dose Computed Tomography

Kobler, E., Muckley, M., Chen, B., Knoll, F., Hammernik, K., Pock, T., Sodickson, D. & Otazo, R., 10 Sep 2018, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Institute of Electrical and Electronics Engineers, Vol. 2018-April. p. 6687-6691 5 p. 8462312

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Tomography
Dosimetry
X rays
Image quality
Signal to noise ratio

Variational Fusion of Light Field and Photometric Stereo for Precise 3D Sensing within a Multi-Line Scan Framework

Antensteiner, D., Stolc, S. & Pock, T., 2018, Proceedings of the International Conference on Pattern Recognition (ICPR).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Variational Networks for Joint Image Reconstruction and Classification of Tumor Immune Cell Interactions in Melanoma Tissue Sections

Effland, A., Hölzel, M., Klatzer, T., Kobler, E., Landsberg, J., Neuhäuser, L., Pock, T. & Rumpf, M., 2018, Bildverarbeitung für die Medizin 2018.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

2017

Accelerated Knee Imaging Using a Deep Learning Based Reconstruction

Knoll, F., Hammernik, K., Garwood, E., Hirschmann, A., Rybak, L., Bruno, M., Block, K. T., Babb, J., Pock, T., Sodickson, D. K. & Recht, M. P., 2017, Proceedings of the International Society of Magnetic Resonance in Medicine (ISMRM). 0645

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

A Deep Learning Architecture for Limited-Angle Computed Tomography Reconstruction

Hammernik, K., Würfl, T., Pock, T. & Maier, A., 2017, Bildverarbeitung für die Medizin 2017: Informatik aktuell. Springer Verlag Heidelberg

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

A Primal Dual Network for Low-Level Vision Problems

Vogel, C. & Pock, T., 1 Sep 2017, German Conference on Pattern Recognition, 2017. Springer Berlin - Heidelberg

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

File

L2 or not L2: Impact of Loss Function Design for Deep Learning MRI Reconstruction

Hammernik, K., Knoll, F., Sodickson, D. K. & Pock, T., 2017, Proceedings of the International Society of Magnetic Resonance in Medicine (ISMRM). 0687

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Neural EPI-Volume Networks for Shape from Light Field

Heber, S., Yu, W. & Pock, T., 2017, IEEE International Conference on Computer Vision (ICCV).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

On the Influence of Sampling Pattern Design on Deep Learning-Based MRI Reconstruction

Hammernik, K., Knoll, F., Sodickson, D. K. & Pock, T., 2017, Proceedings of the International Society of Magnetic Resonance in Medicine (ISMRM). 0644

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Real-time panoramic tracking for event cameras

Reinbacher, C., Munda, G. & Pock, T., 16 Jun 2017, 2017 IEEE International Conference on Computational Photography, ICCP 2017 - Proceedings. Institute of Electrical and Electronics Engineers, 7951488

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Cameras
cameras
degrees of freedom
formulations
shift

Semantic 3D Reconstruction with Finite Element Bases

Vogel, C., Richard, A., Pock, T. & Schindler, K., 3 Sep 2017, 28th British Machine Vision Conference: BMVC 2017. Vol. 28. 28 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

File

Trainable Regularization for Multi-frame Superresolution

Klatzer, T., Soukup, D., Kobler, E., Hammernik, K. & Pock, T., 2017, Pattern Recognition: German Conference, GCPR 2017, Proceedings. Roth, V. & Vetter, T. (eds.). Springer, p. 90-100 (Lecture Notes in Computer Science; vol. 10496).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

File
Cameras
Supervised learning
Inspection
Imaging techniques

Variational Networks: Connecting Variational Methods and Deep Learning

Kobler, E., Klatzer, T., Hammernik, K. & Pock, T., 2017, Pattern Recognition: German Conference, GCPR 2017, Proceedings. Springer, p. 281-293 (Lecture Notes in Computer Science; vol. 10496).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Image reconstruction
Gradient methods
Neural networks
Deep learning
Experiments

Variational Photoacoustic Image Reconstruction with Spatially Resolved Projection Data

Hammernik, K., Pock, T. & Nuster, R., 2017, Proc. SPIE. Vol. 10064.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

image reconstruction
projection
noise measurement
visibility
vessels
2016

Convolutional Networks for Shape from Light Field

Heber, S. & Pock, T., 2016, IEEE Conference on Computer Vision and Pattern Recognition (2016).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Neural networks
Computer vision
Processing

Large-Scale Semantic 3D Reconstruction: an Adaptive Multi-Resolution Model for Multi-Class Volumetric Labeling

Blaha, M., Vogel, C., Richard, A., Wegner, J., Schindler, K. & Pock, T., 2016, Computer Vision and Pattern Recognition. IEEE Computer Society, p. 3176-3184 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access
File

Learning a Variational Model for Compressed Sensing MRI Reconstruction

Hammernik, K., Knoll, F., Sodickson, D. & Pock, T., 2016, Proceedings of the International Society of Magnetic Resonance in Medicine (ISMRM). 1088

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Learning Joint Demosaicing and Denoising Based on Sequential Energy Minimization

Klatzer, T., Hammernik, K., Knöbelreiter, P. & Pock, T., 13 May 2016, IEEE International Conference on Computational Photography (ICCP).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access
File
Color
Image acquisition
Sensors
Image reconstruction
Image quality

U-shaped Networks for Shape from Light Field

Heber, S., Yu, W. & Pock, T., Sep 2016, British Machine Vision Conference, BMVC 2016.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Network architecture
Decoding
Deep learning
2015

Bilevel optimization with nonsmooth lower level problems

Ochs, P., Ranftl, R., Brox, T. & Pock, T., 2015, (Accepted/In press) Proceedings of SSVM 2015. .

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Continuous Hyper-parameter Learning for Support Vector Machines

Klatzer, T. & Pock, T., 2015, (Accepted/In press) Computer Vision Winter Workshop.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access
File

Depth Restoration via Joint Training of a Global Regression Model and CNNs

Riegler, G., Ranftl, R., Rüther, M., Pock, T. & Bischof, H., 2015, (Accepted/In press) British Machine Vision Conference. .

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Efficient Minimal-Surface Regularization of Perspective Depth Maps in Variational Stereo

Graber, G., Pock, T., Soatto, S. & Balzer, J., 2015, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). ., p. 511-520

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access
File
Surface reconstruction
Gages
Topology
Geometry

Learning Reaction-Diffusion Models for Image Inpainting

Yu, W., Heber, S. & Pock, T., 2015, (Accepted/In press) Pattern Recognition: 37th German Conference, GCPR 2015, Aachen, Germany, October 7-10, 2015, Proceedings. Springer International Publishing AG , Vol. 9358. p. 356-367

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Textures

On learning optimized reaction diffusion processes for effective image restoration

Chen, Y., Yu, W. & Pock, T., 2015, (Accepted/In press) International Conference on Computer Vision. .

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

2014

A bi-level view of inpainting - based image compression

Chen, Y., Ranftl, R. & Pock, T., 2014, (Accepted/In press) Computer Vision Winter Workshop. .

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

A Comparison of First-order Algorithms for Machine Learning

Yu, W. & Pock, T., 2014, (Accepted/In press) ÖAGM-Meeting. .

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

A Deep Variational Model for Image Segmentation

Ranftl, R. & Pock, T., 2014, (Accepted/In press) DAGM Symposium Mustererkennung. .

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Interactive 2D/3D Image Denoising and Segmentation Tool for Medical Applications

Urschler, M., Leitinger, G. & Pock, T., 2014, Proceedings MICCAI Workshop Interactive Medical Image Computation (IMIC).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Non-Local Total Generalized Variation for Optical Flow Estimation

Ranftl, R., Bredie, K. & Pock, T., 2014, (Accepted/In press) European Conference on Computer Vision. .

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Scene Flow Estimation from Light Fields via the Preconditioned Primal-Dual Algorithm

Heber, S. & Pock, T., 2014, (Accepted/In press) Pattern Recognition: 36th German Conference, GCPR 2014, M{\"u}nster, Germany, September 2-5, 2014, Proceedings. Springer International Publishing AG , Vol. 8753. p. 3-14

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Geometry
Cameras
Experiments

Shape from Light Field meets Robust PCA

Heber, S. & Pock, T., 2014, (Accepted/In press) Computer Vision -- ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part VI. Springer International Publishing AG , Vol. 8694. p. 751-767

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Convex optimization
Experiments

Vertebrae Segmentation in 3D CT Images based on a Variational Framework

Hammernik, K., Ebner, T., Stern, D., Urschler, M. & Pock, T., 2014, Proceedings 2nd MICCAI Workshop & Challenge Computational Methods and Clinical Applications in Spine Imaging (CSI). p. 200-207

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

2013

Minimizing TGV-Based Variational Models with Non-convex Data Terms

Ranftl, R., Pock, T. & Bischof, H., 2013, 4th International Conference, SSVM 2013, Schloss Seggau, Leibnitz, Austria, June 2-6, 2013.. ., p. 282-293

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Revisiting loss-specific training of filter-based MRFs for image restoration

Chen, Y., Pock, T., Ranftl, R. & Bischof, H., 2013, 35th German Conference, GCPR 2013, Proceedings. ., p. 271-281

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Variational Shape from Light Field

Heber, S., Ranftl, R. & Pock, T., 2013, (Accepted/In press) Energy Minimization Methods in Computer Vision and Pattern Recognition: 9th International Conference, EMMCVPR 2013, Lund, Sweden, August 19-21, 2013. Proceedings. Springer Berlin - Heidelberg, Vol. 8081. p. 66-79

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Cameras
Wavefronts
Sampling
2012

Approximate Envelope Minimization

Heber, S., Ranftl, R. & Pock, T., 2012, Computer Vision Winter Workshop. ., p. 1-8

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Approximate Envelope Minimization for Curvature Regularity

Heber, S., Ranftl, R. & Pock, T., 2012, Computer Vision -- ECCV 2012. Workshops and Demonstrations: Florence, Italy, October 7-13, 2012, Proceedings, Part III. Springer Berlin - Heidelberg, Vol. 7585. p. 283-292

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Dense Reconstruction On-the-Fly

Wendel, A., Maurer, M., Graber, G., Pock, T. & Bischof, H., 2012, Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). ., p. 1450-1457

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Efficient and Globally Optimal Multi View Dense Matching for Aerial Images

Irschara, A., Rumpler, M., Meixner, P., Pock, T. & Bischof, H., 2012, Congress / International Society for Photogrammetry and Remote Sensing. ., p. 227-232

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Joint motion estimation and segmentation of complex scenes with label costs and occlusion modeling

Unger, M., Werlberger, M., Pock, T. & Bischof, H., 2012, Conference on Computer Vision and Pattern Recognition. ., p. 1878-1885

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

On paramter learning in variational models

Pock, T., 2012, (Accepted/In press) International Symposium on Mathematical Programming. .

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Pushing the Limits of Stereo Using Variational Stereo Estimation

Ranftl, R., Gehring, S., Pock, T. & Bischof, H., 2012, Proceedings of IV 2012. ., p. 401-407

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

2011

Diagonal preconditioning for first order primal-dual algorithms in convex optimization

Pock, T. & Chambolle, A., 2011, (Accepted/In press) Proceedings of ICCV 2011. .

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Efficient Minimization of the Non-Local Potts Model

Werlberger, M., Unger, M., Pock, T. & Bischof, H., 2011, Proceedings of SSVM 2011. ., p. 314-325

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Global Relabeling for Continuous Optimization in Binary Image Segmentation

Unger, M., Pock, T. & Bischof, H., 2011, (Accepted/In press) Proceedings of EMMCVPR 2011. .

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Online 3D reconstruciton using Convex Optimization

Graber, G., Pock, T. & Bischof, H., 2011, (Accepted/In press) Proceedings of ICCV 2011. .

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Optical Flow Guided TV-L1 Video Interpolation and Restoration

Werlberger, M., Pock, T., Unger, M. & Bischof, H., 2011, Proceedings of EMMCVPR 2011. ., p. 273-286

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review