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C. Rhemann, Rother, C., Wang, J., Gelautz, M., Kohli, P., and Rott, P., “A perceptually motivated online benchmark for image matting”, in 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, vol. 2009 IEEE, pp. 1826–1833.
S. Munder, Schnörr, C., and Gavrila, D. M., “Pedestrian Detection and Tracking Using a Mixture of View-Based Shape-Texture Models”, IEEE Trans. Intell. Transp. Systems, vol. 9, pp. 333-343, 2008.
S. Boppel, “Peak Identification for Liquid Chromatography and Mass Spectrometry”, University of Heidelberg, 2008.
J. Weickert and Schnörr, C., “PDE–Based Preprocessing of Medical Images”, Künstliche Intelligenz, vol. 3, pp. 5–10, 2000.
P. Sauer, “Pattern Recognition on Statistically Textured Surfaces”, University of Heidelberg, 2008.
B. H. Menze, “Pattern Recognition in the Quantitative Analysis of Vector-Valued Image Data: Diagnostic Systems and Applications”. University of Heidelberg, 2007.
F. A. Hamprecht, Jähne, B., and Schnörr, C., Eds., Pattern Recognition, 29th DAGM Symposium, Heidelberg, Germany, September 12-14, 2007, Proceedings, vol. 4713. Springer, 2007.
C. Schnörr and Jähne, B., “Pattern Recognition, 29th DAGM Symposium, Heidelberg, Germany, September 12-14”, vol. 4713. Springer, 2007.
F. A. Hamprecht, Schnörr, C., and Jähne, B., Eds., “Pattern Recognition – 29th DAGM Symposium”, LCNS, vol. 4713. Springer, 2007.
M. Bleyer, Rhemann, C., and Rother, C., “PatchMatch Stereo - Stereo Matching with Slanted Support Windows”, 2011, pp. 14.1–14.11.
C. Kräuter, Richter, K. E., Mesarchaki, E., Rocholz, R., Williams, J., and Jähne, B., “Partitioning of the Trasfer Resistance between Air and Water”, in SOLAS Open Science Conference, Washington State, USA, 2012.
S. Humbert, “Partikel-Verfolgung beim Laserschwei\DFen mit dem Kalman-Filter”, University of Heidelberg, 2005.
D. Engelmann, Stöhr, M., Garbe, C. S., Hering, F., Jähne, B., Haußecker, H., and Geißler, P., “Particle-tracking velocimetry”, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, pp. 663-697, 1999.
D. Engelmann, Stöhr, M., Garbe, C. S., Hering, F., and Jähne, B., “Particle-tracking velocimetry”, Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press, pp. 646-647, 2000.
F. Hering, Wierzimok, D., Leue, C., and Jähne, B., “Particle tracking velocimetry beneath water waves. part II : water waves”, Exp. Fluids, vol. 24, pp. 10-16, 1998.
F. Hering, Wierzimok, D., Leue, C., and Jähne, B., “Particle tracking velocimetry beneath water waves. Part I: visualization and tracking algorithms”, Exp. Fluids, vol. 23, p. 472--482, 1997.
F. Hering, Merle, M., Wierzimok, D., and Jähne, B., “Particle tracking in space time sequences”, in Computer Analysis of Images and Patterns, 1995, vol. 970, p. 294--301.
M. Marxen, “Particle Image Velocimetry in Strömungen mit starken Geschwindigkeitsgradienten”, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1998.
P. Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., “Partial Optimality via Iterative Pruning for the Potts Model”, in Scale Space and Variational Methods (SSVM 2013), 2013.PDF icon Technical Report (159.71 KB)
P. Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., “Partial Optimality via Iterative Pruning for the Potts Model”, in Scale Space and Variational Methods (SSVM 2013), 2013.
P. Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., “Partial Optimality via Iterative Pruning for the Potts Model”, in Proceedings of the 4th International Conference on Scale Space and Variational Methods in Computer Vision SSVM, 2013, pp. 477-488.
P. Kohli, Shekhovtsov, A., Rother, C., Kolmogorov, V., and Torr, P., “On partial optimality in multi-label MRFs”, in Proceedings of the 25th International Conference on Machine Learning, 2008, pp. 480–487.
P. Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., “Partial Optimality by Pruning for MAP-inference with General Graphical Models”, in IEEE Conference on Computer Vision and Pattern Recognition 2014, 2014.PDF icon Technical Report (703.34 KB)
P. Swoboda, Shekhovtsov, A., Kappes, J. Hendrik, Schnörr, C., and Savchynskyy, B., “Partial Optimality by Pruning for MAP-Inference with General Graphical Models”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 38, pp. 1370–1382, 2016.
P. Swoboda, Shekhovtsov, A., Kappes, J. H., Schnörr, C., and Savchynskyy, B., “Partial Optimality by Pruning for MAP-Inference with General Graphical Models”, IEEE Trans. Patt. Anal. Mach. Intell., vol. 38, pp. 1370–1382, 2016.
P. Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., “Partial Optimality by Pruning for MAP-inference with General GraphicalModels”, CVPR. Proceedings. pp. 1170-1177, 2014.
P. Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., “Partial Optimality by Pruning for MAP-inference with General Graphical Models”, in IEEE Conference on Computer Vision and Pattern Recognition 2014, 2014.
A. Monroy, Kröger, T., Arnold, M., and Ommer, B., “Parametric Object Detection for Iconographic Analysis”, in Scientific Computing & Cultural Heritage, 2011.
E. Bodnariuc, Petra, S., Poelma, C., and Schnörr, C., “Parametric Dictionary-Based Velocimetry for Echo PIV”, in Proc. CGPR, 2016.
B. Jähne, Münnich, K. O., Bösinger, R., Dutzi, A., Huber, W. A., and Libner, P., “On the parameters influencing air-water gas exchange”, J. Geophys. Res., vol. 92, p. 1937--1950, 1987.
B. Jähne, Fischer, K. H., Ilmberger, J., Libner, P., Weiss, W., Imboden, D., Lemnin, U., and Jaquet, J. M., “Parameterization of air/lake gas exchange”, in Gas transfer at water surfaces, 1984, p. 469--476.
W. Peckar, Schnörr, C., Rohr, K., and Stiehl, H. –S., “Parameter-Free Elastic Deformation Approach for 2D and 3D Registration Using Prescribed Displacements”, J. Math. Imaging and Vision, vol. 10, pp. 143–162, 1999.
C. S. Garbe and Ommer, B., “Parameter Estimation in Image Processing and Computer Vision”, in Model Based Parameter Estimation: Theory and Applications, Springer, 2013, p. 311--334.PDF icon Technical Report (928 KB)
J. Heers, Schnörr, C., and Stiehl, H. –S., “Parallele und global konvergente iterative Minimierung nichtlinearer Variationsansätze zur adaptiven Glättung und Segmentation von Bildern”, in Mustererkennung 1998, Heidelberg, 1998.
T. Kohlberger, Schnörr, C., Bruhn, A., and Weickert, J., “Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing”, in Computer Vision – ECCV 2004, 2004, vol. 3024, pp. 205-216.

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