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H. Schilling, Diebold, M., Gutsche, M., and Jähne, B., “On the design of a fractal calibration pattern for improved camera calibration”, tm - Technisches Messen, vol. 84, pp. 440–451, 2017.

M. Schiegg, Diego, F., and Hamprecht, F. A., “Learning Diverse Models: The Coulomb Structured Support Vector Machine”, ECCV. Proceedings, vol. LNCS 9907. Springer, pp. 585-599, 2016.

Technical Report (2.54 MB)

M. Schiegg, “Multi-Target Tracking with Probabilistic Graphical Models”. University of Heidelberg, 2015.

M. Schiegg, Hanslovsky, P., Haubold, C., Köthe, U., Hufnagel, L., and Hamprecht, F. A., “Graphical Model for Joint Segmentation and Tracking of Multiple Dividing Cell”, Bioinformatics, vol. 31, no. 6, pp. 948-956, 2015.

Technical Report (534.29 KB)

M. Schiegg, Hanslovsky, P., Kausler, B. X., Hufnagel, L., and Hamprecht, F. A., “Conservation Tracking”, in ICCV 2013. Proceedings, 2013, p. 2928--2935.

Technical Report (5.22 MB)

M. Schiegg, Heuer, B., Haubold, C., Wolf, S., Köthe, U., and Hamprecht, F. A., “Proof-reading Guidance in Cell Tracking by Sampling from Tracking-by-assignment Models”, in ISBI. Proceedings, 2015, pp. 394-398.

Technical Report (648.55 KB)

T. Scheuermann, Pfundt, G., Eyerer, P., and Jähne, B., “Oberflächenkonturvermessung mikroskopischer Objekte durch Projektion statistischer Rauschmuster”, in Proc. 17. DAGM-Symposium Mustererkennung, Bielefeld, 13.-15. September 1995, 1995, p. 319--326.

K. Schelten, Nowozin, S., Jancsary, J., Rother, C., and Roth, S., “Interleaved regression tree field cascades for blind image deconvolution”, in Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015, 2015, pp. 494–501.

C. Schellewald, Keuchel, J., and Schnörr, C., “Image labeling and grouping by minimizing linear functionals over cones”, in Proc. Third Int. Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'01), INRIA, Sophia Antipolis, France, 2001, vol. 2134, pp. 267–282.

C. Schellewald, Roth, S., and Schnörr, C., “Evaluation of Convex Optimization Techniques for the Weighted Graph–Matching Problem in Computer Vision”, in Mustererkennung 2001, Munich, Germany, 2001, vol. 2191, pp. 361–368.

C. Schellewald, Roth, S., and Schnörr, C., “Evaluation of a convex relaxation to a quadratic assignment matching approach for relational object views”, Image Vision Comp., vol. 25, pp. 1301–1314, 2007.

C. Schellewald, Roth, S., and Schnörr, C., “Performance Evaluation of a Convex Relaxation Approach to the Quadratic Assignment of Relational Object Views”, Dept. Math. and Comp. Science, University of Mannheim, Germany, 02/2002, 2002.

C. Schellewald, Roth, S., and Schnörr, C., “Application of convex optimization techniques to the relational matching of object views”, Dept. Math. and Comp. Science, University of Mannheim, Germany, 2001.

C. Schellewald and Schnörr, C., “Probabilistic Subgraph Matching Based on Convex Relaxation”, in Proc. Int. Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'05), 2005, vol. 3757, pp. 171-186.

C. Schellewald and Schnörr, C., “Subgraph Matching with Semidefinite Programming”, in Proc. Int. Workshop on Combinatorial Image Analysis (IWCIA'03), Palermo, Italy, 2003.

C. Schellewald, Roth, S., and Schnörr, C., “Evaluation of a convex relaxation to a quadratic assignment matching approach for relational object views”, Image Vision Comp., vol. 25, p. 1301--1314, 2007.

Technical Report (439.9 KB)

C. Scheelen, “Automated Quality Control in the Life Sciences”, University of Heidelberg, 2010.

M. Schaum, “Subpixelgenaue Positionsbestimmungen in digitalen Bildern”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1993.

H. Scharr, “Optimale Operatoren in der Digitalen Bildverarbeitung”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2000.

H. Scharr, “Optimal separable interpolation of color images with bayer array format”, DFG research unit Image Sequence Analysis to Investigate Dynamic Processes, Interdisciplinary Center for Scientific Computing, University of Heidelberg, Germany, 2000.

H. Scharr, “Digitale Bildverarbeitung und Papier Texturanalyse mittels Pyramiden und Grauwertstatistiken am Beispiel der Papierformation”, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1996.

H. Scharr, Jähne, B., Böckle, S., Kazenwadel, J., Kunzelmann, T., Schulz, C., and Krüger, N., “Flame front analysis in turbulent combustion”, in Mustererkennung 2000, 2000, p. 325--332.

H. Scharr, Körkel, S., and Jähne, B., “Numerische Isotropieoptimierung von FIR-Filtern mittels Querglättung”, in Proceedings of the 19th DAGM Symposium on Pattern Recognition, Braunschweig, 1997, p. 199--208.

H. Scharr and Küsters, R., “A linear model for simultaneous estimation of 3D motion and depth”, in Proceedins of IEEE Workshop on Motion and Video Computing 2002, Orlando, 2002.

H. Scharr and Weickert, J., “An anisotropic diffusion algorithm with optimized rotation invariance”, in Proceedings of the 22th DAGM Symposium on Pattern Recognition, 2000, p. 460--467.

A. Schapowalow, “Implementierung der "Focus-Sweep" Technik mit Hilfe von Scheimpflugoptik und TDI-Technik”, University of Heidelberg, 2011.

A. Schapowalow, “Implementierung der Focus-Sweep Technik mit Hilfe von Scheimpflugoptik und TDI-Technik”, Fakultät für Mathematik und Informatik, Ruprecht-Karls-Universität Heidelberg, Germany, 2011.

J. Schaper, “Wave Height Estimation with Stereo Images of the Reflective Stereo Slope Gauge (RSSG)”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2011.

H. Schäfer, Lenzen, F., and Garbe, C. S., “Depth and Intensity Based Edge Detection in Time-of-Flight Images”, in 3DV-Conference, 2013 International Conference on, 2013, pp. 111-118.

Technical Report (1.85 MB)

H. Schäfer, Lenzen, F., and Garbe, C. S., “Depth and Intensity Based Edge Detection in Time-of-Flight Images”, in 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), 2013 International Conference on, 2013, pp. 111-118.

H. Schäfer, Lenzen, F., Meister, S., and Garbe, C. S., “Edge Detection in Time-of-Flight Images”, in submitted to ECCV, 2nd Workshop on Consumer Depth Cameras for Computer Vision, 2012.

H. Schäfer, Lenzen, F., and Garbe, C. S., “Model based scattering correction in time-of-flight cameras”, Optics Express, vol. 22, pp. 29835-29846, 2014.

N. Sayed, Brattoli, B., and Ommer, B., “Cross and Learn: Cross-Modal Self-Supervision”, in German Conference on Pattern Recognition (GCPR) (Oral), Stuttgart, Germany, 2018.

Article (891.47 KB)

Oral slides (9.17 MB)

B. Savchynskyy, Kappes, J. H., Schmidt, S., and Schnörr, C., “A Study of Nesterov's Scheme for Lagrangian Decomposition and MAP Labeling”, in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2011.

Technical Report (408.99 KB)

B. Savchynskyy, Kappes, J. H., Swoboda, P., and Schnörr, C., “Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation”, in NIPS, 2013.

Technical Report (499.17 KB)

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