Publications

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2005
M. Heiler, Keuchel, J., and Schnörr, C., Semidefinite Clustering for Image Segmentation with A-priori Knowledge, Pattern Recognition, Proc. 27th DAGM Symposium, vol. 3663. Springer, pp. 309–317, 2005.
M. Bergtholdt and Schnörr, C., Shape Priors and Online Appearance Learning for Variational Segmentation and Object Recognition in Static Scenes, Pattern Recognition, Proc. 27th DAGM Symposium, vol. 3663. Springer, pp. 342–350, 2005.
J. Yuan, Schnörr, C., Steidl, G., and Becker, F., A Study of Non-Smooth Convex Flow Decomposition, in Proc. Variational, Geometric and Level Set Methods in Computer Vision, 2005, vol. 3752, pp. 1–12.
2007
L. Görlitz, Singh, M., and Schützbach, P., Schnelle 3D-Vermessung von Partikeln in Rasterelektronenmiskroskopen mit Hilfe eines Rücksteuerdetektors. 2007.
B. Andres, Hamprecht, F. A., and Garbe, C. S., Selection of Local Optical Flow Models by Means of Residual Analysis, in Pattern Recognition, 2007, vol. 4713, pp. 72-81.PDF icon Technical Report (229.64 KB)
B. Andres, Garbe, C. S., Schnörr, C., and Jähne, B., Selection of local optical flow models by means of residual analysis, in Proceedings of the 29th DAGM Symposium on Pattern Recognition, 2007, p. 72--81.
L. Görlitz, Menze, B. H., Weber, M. - A., and Kelm, B. Michael, Semi-Supervised Tumor Detection in MRSI With Discriminative Random Fields, in Pattern Recognition, 2007, vol. 4713, pp. 224-233.PDF icon Technical Report (872.46 KB)
C. Schnörr, Signal and Image Approximation with Level-Set Constraints, Computing, vol. 81, pp. 137-160, 2007.
C. Schnörr, Signal and Image Approximation with Level-Set Constraints, Computing, vol. 81, pp. 137-160, 2007.PDF icon Technical Report (506.8 KB)
J. Yuan, Schnörr, C., and Steidl, G., Simultaneous Optical Flow Estimation and Decomposition, SIAM J. Scientific Computing, vol. 29, pp. 2283-2304, 2007.
J. Yuan, Schnörr, C., and Steidl, G., Simultaneous Optical Flow Estimation and Decomposition, SIAM J.~Scientific Computing, vol. 29, pp. 2283-2304, 2007.PDF icon Technical Report (1.16 MB)
S. Schmidt, Kappes, J. H., Bergtholdt, M., Pekar, V., Dries, S., Bystrov, D., and Schnörr, C., Spine Detection and Labeling Using a Parts-Based Graphical Model, in Proc. 20th International Conference on Information Processing in Medical Imaging (IPMI 2007), 2007, vol. 4584, pp. 122-133.
S. Schmidt, Kappes, J. H., Bergtholdt, M., Pekar, V., Dries, S., Bystrov, D., and Schnörr, C., Spine Detection and Labeling Using a Parts-Based Graphical Model, in Proc. 20th International Conference on Information Processing in Medical Imaging (IPMI 2007), 2007, vol. 4584, pp. 122-133.PDF icon Technical Report (1.46 MB)
M. Hayn, Statistical analysis of spatio-temporal patterns in global NOX satellite data, University of Heidelberg, 2007.
2008
O. Friedrich, Weber, C., Both, M., von Wegner, F., Chamberlain, J. S., Garbe, C. S., and Fink, R. H. A., Sarcomere Structure and Motor-Protein Function in an Animal Model of Duchenne Muscular Dystrophy (mdx mouse), in 87th Annual Meeting of the German Physiological Society, 2008.
B. Ommer, Seeing the Objects Behind the Parts: Learning Compositional Models for Visual Recognition. VDM Verlag, 2008.
B. Andres, Köthe, U., Helmstaedter, M., Denk, W., and Hamprecht, F. A., Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification, in Pattern Recognition. 30th DAGM Symposium Munich, Germany, June 10-13, 2008. Proceedings, 2008, vol. 5096, pp. 142-152.PDF icon Technical Report (1.21 MB)
B. Jähne, Signifikanter Umbruch zeichnet sich ab - Aktuelle Entwicklungen in der Bildverarbeitung. 2008.
F. Huhn, A Simple Instrument for the Measurement of the Slope and Height Distributions of Small Scale Wind-Driven Water Waves, Institute for Environmental Physics, University of Heidelberg, 2008.
S. Petra, Schröder, A., Wieneke, B., and Schnörr, C., On Sparsity Maximization in Tomographic Particle Image Reconstruction, in Pattern Recognition – 30th DAGM Symposium, 2008, vol. 5096, pp. 294–303.
S. Petra, Schröder, A., Wieneke, B., and Schnörr, C., On Sparsity Maximization in Tomographic Particle Image Reconstruction, in Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, p. 294--303.PDF icon Technical Report (1014.71 KB)

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