Thomas Pock Curriculum Vitae - Graz University of Technology
Thomas Pock Curriculum Vitae - Graz University of Technology
Thomas Pock Curriculum Vitae - Graz University of Technology
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Scientific Publications<br />
All papers can be downloaded from www.gpu4vision.org<br />
Journal Papers<br />
[1] T. <strong>Pock</strong>, M. <strong>Pock</strong>, and H. Bisch<strong>of</strong>. Algorithmic differentiation: Application to variational<br />
problems in computer vision. IEEE Transactions on Pattern Analysis and Machine Intelligence,<br />
29(7):1180–1193, 2007.<br />
[2] C. Bauer, T. <strong>Pock</strong>, R. Beichel, E. Sorantin, and H. Bisch<strong>of</strong>. Segmentation <strong>of</strong> interwoven<br />
3D tubular tree structures utilizing shape priors and graph cuts. Medical Image Analysis,<br />
2009.<br />
[3] K. Bredies, K. Kunisch, and T. <strong>Pock</strong>. Total generalized variation. SIAM Journal on<br />
Imaging Sciences, 3(3):492–526, 2010.<br />
[4] A. Chambolle and T. <strong>Pock</strong>. A first-order primal-dual algorithm for convex problems with<br />
applications to imaging. Journal <strong>of</strong> Mathematical Imaging and Vision, 40(1):120–145,<br />
2010.<br />
[5] F. Knoll, M. Unger, C. Diwoky, C. Clason, T. <strong>Pock</strong>, and R. Stollberger. Fast reduction<br />
<strong>of</strong> undersampling artifacts in radial MR angiography with 3D total variation on graphics<br />
hardware. Magnetic Resonance Materials in Physics, Biology and Medicine, 23(2):103–114,<br />
2010.<br />
[6] F. Leberl, H. Bisch<strong>of</strong>, T. <strong>Pock</strong>, A. Irschara, and S. Kluckner. Aerial computer vision for a<br />
3D virtual habitat. Computer, 43:24–31, 2010.<br />
[7] F. Leberl, A. Irschara, T. <strong>Pock</strong>, P. Meixner, M. Gruber, S. Scholz, and A. Wiechert. LIDAR<br />
versus 3D vision. Photogrammetric Engineering and Remote Sensing, 2010.<br />
[8] T. <strong>Pock</strong>, D. Cremers, H. Bisch<strong>of</strong>, and A. Chambolle. Global solutions <strong>of</strong> variational models<br />
with convex regularization. SIAM Journal on Imaging Sciences, 3(4):1122–1145, 2010.<br />
[9] F. Knoll, K. Bredies, T. <strong>Pock</strong>, and R. Stollberger. Second order total generalized variation<br />
(TGV) for MRI. Magnetic Resonance in Medicine, 2011.<br />
[10] K. Bredies, T. <strong>Pock</strong>, and B. Wirth. Convex relaxation <strong>of</strong> a class <strong>of</strong> vertex penalizing<br />
functionals. Journal <strong>of</strong> Mathematical Imaging and Vision, 2012. accepted for publication.<br />
[11] A. Chambolle, D. Cremers, and T. <strong>Pock</strong>. A convex approach to minimal partitions. SIAM<br />
Journal on Imaging Sciences, 2012. accepted for publication.<br />
Book Chapters<br />
[12] A. Chambolle, V. Caselles, D. Cremers, M. Novaga, and T. <strong>Pock</strong>. An introduction to total<br />
variation for image analysis. In Theoretical Foundations and Numerical Methods for Sparse<br />
Recovery. De Gruyter, 2010.<br />
[13] D. Cremers, T. <strong>Pock</strong>, K. Kolev, and A. Chambolle. Convex relaxation techniques for<br />
segmentation, stereo and multiview reconstruction. In Advances in Markov Random Fields<br />
for Vision and Image Processing. MIT Press, 2011.<br />
[14] T. <strong>Pock</strong>, L. Zebedin, and H. Bisch<strong>of</strong>. TGV-fusion. In Rainbow <strong>of</strong> Computer Science.<br />
Springer-Verlag, 2011. to appear.<br />
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