Thomas Pock Curriculum Vitae - Graz University of Technology

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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. 6
[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. 7
Page 1 and 2: Ass.-Prof. Dipl.-Ing. Dr. Thomas Po
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Thomas Pock Curriculum Vitae - Graz University of Technology

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