Publications

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Schurr, U, Schuberth, B, Aloni, R, Pradel, K S, Schmund, D, Jähne, B and Ullrich, C I (1996). Structural and functional evidence for xylem-mediated water transport and high tranpiration in Agrobacterium tumefaciens-induced tumors of Ricinus communis. Botanica Acta. 109 405--412
Schwarz, T S (2005). Development Of A Depth Resolving Boundary Layer Visualiziation Für Gas Exchange At Free Water Surfaces. University of Heidelberg
Schwarz, K (2016). Spatio-Temporal Measurements Of Water-Wave Height And Slope Using Laser-Induced Fluorescence And Splines. Institut für Umweltphysik, Universität Heidelberg, Germany
Sellen, A, Fogg, A, Aitken, M, Hodges, S, Rother, C and Wood, K (2007). Do life-logging technologies support memory for the past? An experimental study using sensecam. Conference on Human Factors in Computing Systems - Proceedings. 81–90
Sellent, A, Rother, C and Roth, S (2016). Stereo video deblurring. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9906 LNCS 558–575
Sellent, A, Rother, C and Roth, S (2016). Stereo Video Deblurring-Supplemental Material
Senet, C M (2004). Dynamics of dispersive boundaries: the determination of spatial hydrographic parameter maps from optical sea surface image sequences. Universität Hamburg, FB Informatik
Shekhovtsov, A, Swoboda, P and Savchynskyy, B (2018). Maximum Persistency via Iterative Relaxed Inference in Graphical Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40 1668–1682. http://www.icg.tugraz.at/
Shekhovtsov, A, Kohli, P and Rother, C (2012). Curvature prior for MRF-based segmentation and shape inpainting. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7476 LNCS 41–51
Shekhovtsov, A, Kohli, P and Rother, C (2012). Curvature prior for MRF-based segmentation and shape inpainting. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7476 LNCS 41–51. www.research.microsoft.com/vision/cambridge http://www.cs.ucl.ac.uk/staff/V.Kolmogorov/papers/StereoSegmentation_PAMI06.pdf%5Cnpapers3://publication/uuid/F008E9F4-510D-4478-A3C0-1BFB22F6AEA0
Shekhovtsov, A, Kohli, P and Rother, C (2012). Curvature prior for MRF-based segmentation and shape inpainting. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7476 LNCS 41–51. http://arxiv.org/abs/1109.1480
Shesh, A, Criminisi, A, Rother, C and Smyth, G (2009). 3D-aware image editing for out of bounds photography. Proceedings - Graphics Interface. 47–54. http://www.flickr.com/groups/oob/
Shotton, J, Winn, J, Rother, C and Criminisi, A (2009). TextonBoost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context. International Journal of Computer Vision. 81 2–23. http://jamie.shotton.org/work/code.html
Shotton, J, Winn, J, Rother, C and Criminisi, A (2006). TextonBoost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3951 LNCS 1–15. http://research.microsoft.com/vision/cambridge/recognition/.
Sieg, S, Stutz, B, Schmidt, T, Hamprecht, F A and Maier, W F (2006). A QCAR-approach to materials modelling. Journal of Molecular Modeling. 12 611-619PDF icon Technical Report (343.11 KB)
Sigg, C, Fischer, B, Ommer, B, Roth, V and Buhmann, J M (2007). Nonnegative CCA for Audiovisual Source Separation. International Workshop on Machine Learning for Signal Processing. IEEE. 253--258PDF icon Technical Report (1.27 MB)
Silvestri, F, Reinelt, G and Schnörr, C (2016). Symmetry-free SDP Relaxations for Affine Subspace Clustering. http://arxiv.org/abs/1607.07387
Silvestri, F, Reinelt, G and Schnörr, C (2015). A Convex Relaxation Approach to the Affine Subspace Clustering Problem. Proc.~GCPRPDF icon Technical Report (878.63 KB)
Sindeev, M, Konushin, A and Rother, C (2013). Alpha-flow for video matting. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7726 LNCS 438–452
Singaraju, D, Rother, C and Rhemann, C (2009). Supplementary Material For New Appearance Models For Image Matting
Singaraju, D, Rother, C and Rhemann, C (2010). New appearance models for natural image matting. 659–666
Singaraju, D, Rother, C and Rhemann, C (2009). New appearance models for natural image matting. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009. 2009 IEEE 659–666
Smolyar, N (2003). Bildgebende Spektroskopie an Pflanzenblättern. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/4268/
Snajder, R (2019). Pipeline Für Die Automatisierte Objektsegmentierung Von 3D Lightshet Mikroskopiebildern. Heidelberg University
Snoeij, P, Calkoen, C J, Oost, W A, van Halsema, D, Vogelzang, J and Jähne, B (1990). Dual-polarized scatterometer measurements of generated Wind and Gravity Wave in a Very Large Wind/Wave Tank. Proc. IGARSS'90. 2157--2160
Snoeij, P, van Halsema, D, Oost, W A, Calkoen, C J, Vogelzang, J and Jähne, B (1991). Comparison of microwave backscatter measurements and small-scale surface wave measurements made from the Dutch ocean research tower 'Noordwijk'. Proceedings IGARSS '91. 3 1289--1292
Snoeij, P, van Halsema, D, Oost, W A, Calkoen, C J, Jähne, B and Vogelzang, J (1992). Microwave backscatter measurements made from the Dutch Ocean Research Tower 'Noordwijk' compared with model predictions. Proc. IGARSS'92
Snoeij, P, Vogelzang, J, Calkoen, C J, Oost, W A, van Halsema, D and Jähne, B (1990). A high resolution scatterometer for radar backscatter measurements of wind generated waves in wind/wave tanks. European Micro Wave Conference 1990
Sommer, C (2010). Interactive Learning for the Analysis of Biomedical and Industrial Imagery. University of Heidelberg
Sommer, C, Fiaschi, L, Hamprecht, F A and Gerlich, D (2012). Learning-based Mitotic Cell Detection in Histopathological Images. ICPR 2012. Proceedings. 2306-2309PDF icon Technical Report (1.96 MB)
Sommer, C, Straehle, C N, Köthe, U and Hamprecht, F A (2011). ilastik: Interactive Learning and Segmentation Toolkit. Eighth IEEE International Symposium on Biomedical Imaging (ISBI 2011).Proceedings. 230-233
Sorrenson, P, Rother, C and Köthe, U (2020). Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN). Intl. Conf. Learning Representations (ICLR). http://arxiv.org/abs/2001.04872PDF icon PDF (2.43 MB)
Spedding, G R, Klinke, J and Long, S R (1996). Estimating $\omega(k)$ in an unsteady, wind-generated surface wave field from the 2D complex wavelet transform of the surface slope. Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993. RSMAS, University of Miami. 373--382
Spies, H (2001). Analysing Dynamic Processes in Range Data Sequences. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/1665
Spies, H (1998). Bewegungsdetektion Und Geschwindigkeitsanalyse In Bildfolgen Zur Untersuchung Von Sedimentverlagerungen Und Porenströmungen. University of Heidelberg

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