Thomas Pock Curriculum Vitae - Graz University of Technology

Ass.-Prof. Dipl.-Ing. Dr. Thomas Pock
Diepoltsbergerstraße 49
A-8061 St. Radegund
E-Mail: pock@icg.tugraz.at
Web: www.icg.tugraz.at/Members/pock
Tel.: +43 (0)650 2305978
Personal Information
Name Thomas Georg Pock
Born May 23, 1978, Graz
Cititzenship Austria
Education
Thomas Pock
Curriculum Vitae
2005 - 2008 PhD in “Telematik” from Graz University of Technology, with distinction. Thesis title:
Fast Total Variation for Computer Vision. (Supervisors: Prof. Dr. Horst Bischof and
Prof. Dr. Daniel Cremers)
1998 - 2004 MSc in “Telematik” from Graz University of Technology, with distinction. Thesis title:
Robust Segmentation of Tubular Structures in 3D Volume Data. (Supervisor: Prof. Dr.
Horst Bischof)
1997 - 1998 Military service at Klagenfurt, Villach and Graz.
1992 - 1997 HTL für Maschinenbau, Klagenfurt, with distinction.
1988 - 1992 Hauptschule II Althofen, with distinction.
1984 - 1988 Volkschule I, Althofen.
Professional
01/2012 - present Assistenzprofessor (Assistant professor with tenure track) at the Institute for Computer
Graphics and Vision, Graz University of Technology, leader of the Variational Methods
research group
03/2011 Visiting Scientist at Institute of Scienece and Technology Austria (Prof. Dr. Christoph
Lampert)
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10/2008 - 12/2011 Universitätsassistent at the Institute for Computer Graphics and Vision, Graz University
of Technology.
03/2008 - 09/2008 Post doctoral researcher at the Hausdorff Center for Mathematics, University of Bonn,
Germany (Prof. Dr. Daniel Cremers)
09/2006 - 02/2008 Research and teaching assistant at the Institute for Computer Graphics and Vision, Graz
University of Technology.
04/2006 Visiting scientist at University of Zagreb (Prof. Dr. Sven Loncaric)
01/2005 - 08/2006 Researcher at the Institute for Computer Graphics and Vision, Graz University of Technology.
Project title: Virtual Liver Surgery Planning
Scientific Activities
• 08/2012, Program Co-Chair of the DAGM-OAGM 2012 in Graz
• 11/2011, co-organizer of the Dagstuhl seminar on efficient algorithm in computer vision,
Dagstuhl, Germany
• 11/2011, tutorial on variational methods in computer vision, with B. Goldlücke and D.
Cremers, ICCV 2011, Barcelona, Spain.
• 09/2011, tutorial on convex relaxation methods in computer vision, with X. Bresson, ICIP
2011, Brussels, Belgium.
• 09/2011, tutorial on variational methods in computer vision, with D. Cremers, DAGM
2011, Frankfurt, Germany.
• 07/2011 co-organizer of the symposium on variational image analysis, Heidelberg, Germany
• 09/2010, tutorial on variational methods in computer vision, with B. Goldlücke and D.
Cremers, ECCV 2010, Crete, Greece.
• Since 05/2009, chairman of the Austrian Association for Pattern Recognition.
• Since 10/2009, leader of the Visual Computing working group of the Austrian Computer
Society.
• Co-organizer of the conference of the Austrian Association for Pattern Recognition, 2009.
• Program committee member of international conferences: CVPR, ICCV, ECCV, MIC-
CAI.
• Reviewing activities for a number of scientific journals: PAMI, IJCV, JMIV, SIIMS.
Additional Qualifications
• Management Development Program of Graz University of Technology
Scientific Awards
• DAGM 2007 Main Prize for the paper: A Duality Based Approach for Realtime TV-L 1
Optical Flow [22].
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Teaching
WS2006 - WS2012 Image processing and pattern recognition (2VO+1KU)
WS2006 - WS2012 Advanced Computer Graphics (2SE)
SS2007 - SS2012 Advanced Computer Vision (2SE)
SS2008 - SS2012 Mathematical Foundations in Vision and Graphics (3VU)
Projects
2008 - 2010 Variational methods on the GPU for industrial problems, FFG project (project leader)
2008 - 2010 Video quality analysis, FFG project, (technical leader)
2010 - 2013 Higher order variational methods for computer vision, FWF project, (project leader)
2010 - 2013 High Definition Video Processing, FFG project (project leader)
2010 - 2011 High accuracy far field stereo in cars, Daimler AG (project leader)
2011 - 2012 High accuracy road surface reconstruction in driving cars, Audi AG (project leader)
Master Students
Roman Zeleznik Blind deconvolution, 2011
Gottfried Graber Realtime dense 3D reconstruction from a single camera, 2011
René Ranftl A Bayesian Approach to Variational Methods, 2010
Mohamed Souiai Newton Methods for Total Variation Minimization, 2010
Markus Unger An Interactive Framework for Globally Optimal Image Segmentation with Local Constraints,
2008
Manuel Werlberger Globally Optimal TV-L1 Shape Prior Segmentation, 2008
PhD Students
Chen Yunjin Dictionary learning using Bilevel optimization, (ongoing)
Stefan Heber Efficient Optimization of Higher Order Variational Methods, (ongoing)
René Ranftl Higher Order Variational Methods for Motion and Stereo, (ongoing)
Markus Unger Interactive Variational Methods on the GPU, (ongoing)
Manuel Werlberger Video Quality Analysis using Motion Estimation, 2012
Jakob Santner Interactive Multi-Label Segmentation, 2010
Werner Trobin Local, Semi-Global and Global Optimization for Motion Estimation, 2009
Research Interests
• Variational Methods
• Convex Optimization
• Motion, Stereo, Segmentation, 3D Reconstruction, Image Processing
• Efficient Hardware Implementation
• See also www.gpu4vision.org
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Other Interests
• Music: Violine, guitar, singing.
• Sports: Triathlon, marathon, race biking, mountain climbing.
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Scientific Publications
All papers can be downloaded from www.gpu4vision.org
Journal Papers
[1] T. Pock, M. Pock, and H. Bischof. Algorithmic differentiation: Application to variational
problems in computer vision. IEEE Transactions on Pattern Analysis and Machine Intelligence,
29(7):1180–1193, 2007.
[2] C. Bauer, T. Pock, R. Beichel, E. Sorantin, and H. Bischof. Segmentation of interwoven
3D tubular tree structures utilizing shape priors and graph cuts. Medical Image Analysis,
2009.
[3] K. Bredies, K. Kunisch, and T. Pock. Total generalized variation. SIAM Journal on
Imaging Sciences, 3(3):492–526, 2010.
[4] A. Chambolle and T. Pock. A first-order primal-dual algorithm for convex problems with
applications to imaging. Journal of Mathematical Imaging and Vision, 40(1):120–145,
2010.
[5] F. Knoll, M. Unger, C. Diwoky, C. Clason, T. Pock, and R. Stollberger. Fast reduction
of undersampling artifacts in radial MR angiography with 3D total variation on graphics
hardware. Magnetic Resonance Materials in Physics, Biology and Medicine, 23(2):103–114,
2010.
[6] F. Leberl, H. Bischof, T. Pock, A. Irschara, and S. Kluckner. Aerial computer vision for a
3D virtual habitat. Computer, 43:24–31, 2010.
[7] F. Leberl, A. Irschara, T. Pock, P. Meixner, M. Gruber, S. Scholz, and A. Wiechert. LIDAR
versus 3D vision. Photogrammetric Engineering and Remote Sensing, 2010.
[8] T. Pock, D. Cremers, H. Bischof, and A. Chambolle. Global solutions of variational models
with convex regularization. SIAM Journal on Imaging Sciences, 3(4):1122–1145, 2010.
[9] F. Knoll, K. Bredies, T. Pock, and R. Stollberger. Second order total generalized variation
(TGV) for MRI. Magnetic Resonance in Medicine, 2011.
[10] K. Bredies, T. Pock, and B. Wirth. Convex relaxation of a class of vertex penalizing
functionals. Journal of Mathematical Imaging and Vision, 2012. accepted for publication.
[11] A. Chambolle, D. Cremers, and T. Pock. A convex approach to minimal partitions. SIAM
Journal on Imaging Sciences, 2012. accepted for publication.
Book Chapters
[12] A. Chambolle, V. Caselles, D. Cremers, M. Novaga, and T. Pock. An introduction to total
variation for image analysis. In Theoretical Foundations and Numerical Methods for Sparse
Recovery. De Gruyter, 2010.
[13] D. Cremers, T. Pock, K. Kolev, and A. Chambolle. Convex relaxation techniques for
segmentation, stereo and multiview reconstruction. In Advances in Markov Random Fields
for Vision and Image Processing. MIT Press, 2011.
[14] T. Pock, L. Zebedin, and H. Bischof. TGV-fusion. In Rainbow of Computer Science.
Springer-Verlag, 2011. to appear.
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Conference Papers
[15] R. Beichel, T. Pock, Ch. Janko, B. Zotter, B. Reitinger, A. Bornik, H. Bischof, K. Palágyi,
E. Sorantin, G. Werkgartner, and M. Sonka. Liver segment approximation in CT data for
surgical resection planning. In SPIE Medical Imaging, pages 1435–1446, 2004.
[16] T. Pock, R. Beichel, and H. Bischof. A novel robust tube detection filter for 3D centerline
extraction. In 14th Scandinavian Conference on Image Analysis (SCIA), pages 481–490,
2005.
[17] T. Pock, Ch. Janko, R. Beichel, and H. Bischof. Multiscale medialness for robust segmentation
of 3D tubular structures. In 10th Computer Vision Winter Workshop (CVWW),
pages 93–102, 2005.
[18] T. Pock and H. Bischof. A probabilistic multiphase model for variational image segmentation.
In 28th DAGM Symposium on Pattern Recognition, pages 71–80, 2006.
[19] T. Pock, M. Grabner, and H. Bischof. Real-time computation of variational methods on
graphics hardware. In 12th Computer Vision Winter Workshop (CVWW), 2007.
[20] T. Pock, M. Urschler, C. Zach, R. Beichel, and H. Bischof. A duality based algorithm for
TV-L 1 -optical-flow image registration. In 10th International Conference on Medical Image
Computing and Computer Assisted Intervention (MICCAI), pages 511–518, 2007.
[21] T. Pock, C. Zach, and H. Bischof. Mumford-shah meets stereo: Integration of weak depth
hypotheses. In IEEE Computer Society Conference on Computer Vision and Pattern
Recognition (CVPR), pages 1–8, 2007.
[22] C. Zach, T. Pock, and H. Bischof. A duality based approach for realtime TV-L 1 optical
flow. In 29th DAGM Symposium on Pattern Recognition, pages 214–223, 2007.
[23] C. Zach, T. Pock, and H. Bischof. A globally optimal algorithm for robust TV-L 1 range
image integration. In 11th IEEE International Conference on Computer Vision (ICCV),
2007.
[24] M. Grabner, T. Pock, and T. Gross. Automatic differentiation for gpu-accelerated 2d/3d
registration. In 5th International Conference on Automatic Differentiation, 2008.
[25] T. Pock, T. Schoenemann, G. Graber, H. Bischof, and D. Cremers. A convex formulation
of continuous multi-label problems. In European Conference on Computer Vision (ECCV),
2008.
[26] T. Pock, M. Unger, D. Cremers, and H. Bischof. Fast and exact solution of total variation
models on the gpu. In CVPR Workshop on Visual Computer Vision on GPU’s, 2008.
[27] W. Trobin, T. Pock, D. Cremers, and H. Bischof. An unbiased second-order prior for highaccuracy
motion estimation. In 30th DAGM Symposium on Pattern Recognition, pages
396–405, 2008.
[28] M. Unger, T. Pock, and H. Bischof. Continuous globally optimal image segmentation with
local constraints. In Computer Vision Winter Workshop (CVWW), 2008.
[29] M. Unger, T. Pock, W. Trobin, D. Cremers, and H. Bischof. Tvseg - interactive total
variation based image segmentation. In British Machine Vision Conference (BMVC),
2008.
[30] A. Wedel, T. Pock, J. Braun, U. Franke, and D. Cremers. Duality tv-l1 flow with fundamental
matrix prior. In Image Vision and Computing, 2008.
[31] D. Mitzel, T. Pock, T. Schoenemann, and D. Cremers. Video super resolution using duality
based tv-l1 optical flow. In Pattern Recognition (Proc. DAGM), 2009.
[32] T. Pock, D. Cremers, H. Bischof, and A. Chambolle. An algorithm for minimizing the
mumford-shah functional. In International Conference on Computer Vision (ICCV), 2009.
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[33] T. Pock, D. Cremers, A. Chambolle, and H. Bischof. A convex relaxation approach for
computing minimal partitions. In IEEE Computer Society Conference on Computer Vision
and Pattern Recognition (CVPR), 2009.
[34] J. Santner, M. Unger, T. Pock, C. Leistner, A. Saffari, and H. Bischof. Interactive texture
segmentation using random forests and total variation. In Proceedings of the British
Machine Vision Conference (BMVC), 2009. to appear.
[35] F. Steinbruecker, T. Pock, and D. Cremers. Advanced data terms for variational optic flow
estimation. In Vision, Modeling, and Visualization Workshop, 2009.
[36] F. Steinbruecker, T. Pock, and D. Cremers. Large displacement optical flow computation
without warping. In IEEE International Conference on Computer Vision (ICCV), 2009.
[37] M. Unger, T. Mauthner, T. Pock, and H. Bischof. Tracking as segmentation of spatialtemporal
volumes by anisotropic weighted tv. In 7th International Conference on Energy
Minimization Methods in Computer Vision and Pattern Recognition, volume 5681, pages
193–206, 2009.
[38] M. Unger, T. Pock, M. Grabner, A. Klaus, and H. Bischof. A variational approach to
semiautomatic generation of digital terrain models. In 5th International Symposium on
Visual Computing, 2009.
[39] A. Wedel, D. Cremers, T. Pock, and H. Bischof. Structure- and motion-adaptive regularization
for high accuracy optic flow. In IEEE International Conference on Computer
Vision (ICCV), 2009.
[40] M. Werlberger, T. Pock, M. Unger, and H. Bischof. A variational model for interactive
shape prior segmentation and real-time tracking. In International Conference on Scale
Space and Variational Methods in Computer Vision (SSVM), 2009. to appear.
[41] M. Werlberger, W. Trobin, T. Pock, A. Wedel, D. Cremers, and H. Bischof. Anisotropic
Huber-L1 optical flow. In British Machine Vision Conference (BMVC), 2009. to appear.
[42] S. Kluckner, T. Pock, and H. Bischof. Exploiting Redundancy for Aerial Image Fusion
using Convex Optimization. In Proceedings German Association for Pattern Recognition,
volume 6376 of LNCS, pages 303–312. Springer, 2010.
[43] K. Kolev, T. Pock, and D. Cremers. Anisotropic minimal surfaces integrating photoconsistency
and normal information for multiview stereo. In European Conference on Computer
Vision (ECCV), Heraklion, Greece, September 2010.
[44] C. Reinbacher, T. Pock, C. Bauer, and H. Bischof. Variational segmentation of elongated
volumetric structures. In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition (CVPR), 2010.
[45] A. Saffari, M. Godec, T. Pock, C. Leistner, and H. Bischof. Online multi-class lpboost.
In IEEE Computer Society Conference on Computer Vision and Pattern Recognition
(CVPR), 2010.
[46] J. Santner, C. Leistner, A. Saffari, T. Pock, and H. Bischof. Prost: Parallel robust online
simple tracking. In IEEE Computer Society Conference on Computer Vision and Pattern
Recognition (CVPR), 2010.
[47] J. Santner, T. Pock, and H. Bischof. Interactive multi-label segmentation. In Proceedings
10th Asian Conference on Computer Vision (ACCV), Queenstown, New Zealand, November
2010.
[48] M. Unger, T. Pock, M. W., and H. Bischof. A convex approach for variational superresolution.
In Proceedings German Association for Pattern Recognition (DAGM), volume
6376 of LNCS, pages 313–322. Springer, 2010.
[49] M. Werlberger, T. Pock, and H. Bischof. Motion estimation with non-local total variation
regularization. In IEEE Computer Society Conference on Computer Vision and Pattern
Recognition (CVPR), 2010.
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[50] G. Graber, T. Pock, and H. Bischof. Online 3d reconstruction using convex optimization.
In 1st Workshop on Live Dense Reconstruction From Moving Cameras, ICCV 2011, 2011.
[51] T. Pock and A. Chambolle. Diagonal preconditioning for first order primal-dual algorithms.
In International Conference of Computer Vision (ICCV 2011), 2011.
[52] M. Werlberger, M. Unger, T. Pock, and H. Bischof. Efficient Minimization of the Non-
Local Potts Model. In International Conference on Scale Space and Variational Methods
in Computer Vision, 2011.
[53] R. Ranftl, S. Gehrig, T. Pock, and H. Bischof. Pushing the Limits of Stereo Using Variational
Stereo Estimation. In IEEE Intelligent Vehicles Symposium, 2012.
[54] M. Unger, M. Werlberger, T. Pock, and H. Bischof. Joint motion estimation and segmentation
of complex scenes with label costs and occlusion modeling. In IEEE Computer
Society Conference on Computer Vision and Pattern Recognition (CVPR), 2012.
[55] A. Wendel, M. Maurer, G. Graber, T. Pock, and H. Bischof. Dense reconstruction on-thefly.
In IEEE Computer Society Conference on Computer Vision and Pattern Recognition
(CVPR), 2012.
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