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T. Scholz, Jähne, B., Suhr, H., Wehnert, G., Geißler, P., and Schneider, K., “A new depth from focus technique for in situ determination of cell concentration in bioreactors”, in Proc. 16. DAGM-Symposium Mustererkennung, 1994, p. 145--150.
M. Scholze, “Analyse der visuellen Stratigraphie alpiner Eisbohrkerne mittels digitaler Bildverarbeitung”, Fakultät für Physik und Astronomie Universität Heidelberg, 1998.
L. Schott, “Learned Watershed Algorithm: End-to-End Learning of Seeded Segmentation”, Heidelberg University, 2017.
T. Schüle, Schnörr, C., Weber, S., and Hornegger, J., “Discrete Tomography By Convex-Concave Regularization and D.C. Programming”, Discr. Appl. Math., vol. 151, pp. 229-243, 2005.
T. Schüle, Schnörr, C., Weber, S., and Hornegger, J., “Discrete Tomography By Convex-Concave Regularization and D.C. Programming”, Dept. Math. and Comp. Science, University of Mannheim, Germany, 15, 2003.
T. Schüle, Weber, S., and Schnörr, C., “Adaptive Reconstruction of Discrete-Valued Objects from few Projections”, Electr. Notes in Discr. Math., vol. 20, pp. 365-384, 2005.
M. Schultz, “Geometrische Kalibrierung von CCD-Kameras”, University of Heidelberg, 1997.
E. Schulzke, “Numerische Simulation von elementaren Kalziumfreisetzungsereignissen und photolytische Ca^2+-Freisetzung aus Käfigmolekülen mittels Picosekundenlaser”, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2001.
U. Schurr, Schuberth, B., Aloni, R., Pradel, K. S., Schmund, D., Jähne, B., and Ullrich, C. I., “Structural and functional evidence for xylem-mediated water transport and high tranpiration in Agrobacterium tumefaciens-induced tumors of Ricinus communis”, Botanica Acta, vol. 109, p. 405--412, 1996.
L. M. Schütz, Louveaux, M., Vilches-Barro, A., Bouziri, S., Cerrone, L., Wolny, A., Kreshuk, A., Hamprecht, F. A., and Maizel, A., “Integration of Cell Growth and Asymmetric Division during Lateral Root Initiation in Arabidopsis thaliana”, Plant and Cell Physiology, vol. 62, no. 8, pp. 1269-1279, 2021.
T. S. Schwarz, “Development of a depth resolving boundary layer visualiziation für gas exchange at free water surfaces”, University of Heidelberg, 2005.
K. Schwarz, “Spatio-Temporal Measurements of Water-Wave Height and Slope using Laser-Induced Fluorescence and Splines”, Institut für Umweltphysik, Universität Heidelberg, Germany, 2016.
A. Sellen, Fogg, A., Aitken, M., Hodges, S., Rother, C., and Wood, K., “Do life-logging technologies support memory for the past? An experimental study using sensecam”, in Conference on Human Factors in Computing Systems - Proceedings, 2007, pp. 81–90.
A. Sellent, Rother, C., and Roth, S., “Stereo video deblurring”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2016, vol. 9906 LNCS, pp. 558–575.
A. Sellent, Rother, C., and Roth, S., “Stereo Video Deblurring-Supplemental Material”, 2016.
C. M. Senet, “Dynamics of dispersive boundaries: the determination of spatial hydrographic parameter maps from optical sea surface image sequences”. Universität Hamburg, FB Informatik, 2004.
A. Shekhovtsov, Swoboda, P., and Savchynskyy, B., “Maximum Persistency via Iterative Relaxed Inference in Graphical Models”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, pp. 1668–1682, 2018.
A. Shekhovtsov, Kohli, P., and Rother, C., “Curvature prior for MRF-based segmentation and shape inpainting”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, vol. 7476 LNCS, pp. 41–51.
A. Shekhovtsov, Kohli, P., and Rother, C., “Curvature prior for MRF-based segmentation and shape inpainting”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, vol. 7476 LNCS, pp. 41–51.
A. Shekhovtsov, Kohli, P., and Rother, C., “Curvature prior for MRF-based segmentation and shape inpainting”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, vol. 7476 LNCS, pp. 41–51.
A. Shesh, Criminisi, A., Rother, C., and Smyth, G., “3D-aware image editing for out of bounds photography”, in Proceedings - Graphics Interface, 2009, pp. 47–54.
J. Shotton, Winn, J., Rother, C., and Criminisi, A., “TextonBoost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context”, International Journal of Computer Vision, vol. 81, pp. 2–23, 2009.
J. Shotton, Winn, J., Rother, C., and Criminisi, A., “TextonBoost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2006, vol. 3951 LNCS, pp. 1–15.
S. Sieg, Stutz, B., Schmidt, T., Hamprecht, F. A., and Maier, W. F., “A QCAR-approach to materials modelling”, Journal of Molecular Modeling, vol. 12, pp. 611-619, 2006.PDF icon Technical Report (343.11 KB)
C. Sigg, Fischer, B., Ommer, B., Roth, V., and Buhmann, J. M., “Nonnegative CCA for Audiovisual Source Separation”, in International Workshop on Machine Learning for Signal Processing, 2007, p. 253--258.PDF icon Technical Report (1.27 MB)
F. Silvestri, Reinelt, G., and Schnörr, C., “Symmetry-free SDP Relaxations for Affine Subspace Clustering”. 2016.
F. Silvestri, Reinelt, G., and Schnörr, C., “A Convex Relaxation Approach to the Affine Subspace Clustering Problem”, in Proc.~GCPR, 2015.PDF icon Technical Report (878.63 KB)
M. Sindeev, Konushin, A., and Rother, C., “Alpha-flow for video matting”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2013, vol. 7726 LNCS, pp. 438–452.
D. Singaraju, Rother, C., and Rhemann, C., “Supplementary material for New Appearance Models for Image Matting”, 2009.
D. Singaraju, Rother, C., and Rhemann, C., “New appearance models for natural image matting”, 2010, pp. 659–666.
D. Singaraju, Rother, C., and Rhemann, C., “New appearance models for natural image matting”, in 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, vol. 2009 IEEE, pp. 659–666.
D. Sitenko, Boll, B., and Schnörr, C., “Assignment Flow For Order-Constrained OCT Segmentation”, Int J Computer Vision, vol. 129, 2021.
D. Sitenko, Boll, B., and Schnörr, C., “Assignment Flows and Nonlocal PDEs on Graphs”, GCPR, in press. 2021.
N. Smolyar, “Bildgebende Spektroskopie an Pflanzenblättern”. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2003.
R. Snajder, “Pipeline für die automatisierte Objektsegmentierung von 3D Lightshet Mikroskopiebildern”, Heidelberg University, 2019.

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