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G. Balschbach, Klinke, J., and Jähne, B., Multichannel shape from shading techniques for moving specular surfaces, in ECCV 1998, 1998, vol. 1407, p. 170--184.
P. Geißler and Jähne, B., A multi-camera system for in-shore measurements of bubble size distributions beneath breaking waves, in Optical 3-D Measurement Techniques IV, Zurich, Sept. 29 - Oct. 2, 1997, 1997, p. 251--258.
J. H. Kappes, Schmidt, S., and Schnörr, C., MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation, in European Conference on Computer Vision (ECCV), 2010, vol. 6313, p. 735--747.
J. H. Kappes, Schmidt, S., and Schnörr, C., MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation, in European Conference on Computer Vision (ECCV), 2010, vol. 6313, p. 735--747.PDF icon Technical Report (1.49 MB)
J. H. Kappes, Schmidt, S., and Schnörr, C., MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation, in European Conference on Computer Vision (ECCV), 2010, vol. 6313, pp. 735–747.
S. Tourani, Shekhovtsov, A., Rother, C., and Savchynskyy, B., MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, vol. 11208 LNCS, pp. 264–281.
M. Becker, Baron, M., Kondermann, D., Bussler, M., and Helzle, V., Movie Dimensionalization Via Sparse User Annotations, in submitted to 3DTV-Con, 2013.
D. Kondermann and Becker, M., Movie Dimensionalization Via Sparse User Annotations, in submitted to ICCV, 2013.
C. Schnörr and Peckar, W., Motion-Based Identification of Deformable Templates, in Proc. 6th Int. Conf. on Computer Analysis of Images and Patterns (CAIP '95), Prague, Czech Republic, 1995, vol. 970, pp. 122-129.
D. Kondermann, Kondermann, C., Berthe, A., Kertzscher, U., and Garbe, C. S., Motion Estimation Based on a Temporal Model of Fluid Flows, in 13th International Symposium on Flow Visualization, 2008, pp. 1-10.
B. Jähne, Motion determination in space-time images, in Proc. Computer Vision -- ECCV 90, Lecture Notes in Computer Science 427, 1990, p. 161--173.
B. Jähne, Motion determination in space-time images, in Image Processing III, SPIE Proceeding 1135, international congress on optical science and engineering, Paris, 24-28 April 1989, 1989, p. 147--152.
D. Uttenweiler, Veigel, C., Steubing, R., Götz, C., Mann, S., Haußecker, H., Jähne, B., and Fink, R. H. A., Motion determination in actin filament fluorescence images with a spatio-temporal orientation analysis method., Biophys J, vol. 78, p. 2709--2715, 2000.
D. Cremers and Schnörr, C., Motion Competition: Variational Integration of Motion Segmentation and Shape Regularization, in Pattern Recognition, Proc. 24th DAGM Symposium, Zürich, Switzerland, 2002, vol. 2449, pp. 472–480.
H. Haußecker, Spies, H., Jähne, B., Geißler, P., and Haußecker, H., Motion, Handbook of Computer Vision and Applications, vol. 2: Signal Processing and Pattern Recognition. Academic Press, p. 309--396, 1999.
H. Haußecker, Spies, H., and Jähne, B., Motion, Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press, p. 347--395, 2000.
A. Monroy, Bell, P., and Ommer, B., A Morphometric Approach to Reception Analysis of Premodern Art, in Scientific Computing & Cultural Heritage, 2013.PDF icon Technical Report (17.75 MB)
A. Monroy, Bell, P., and Ommer, B., Morphological Analysis for Investigating Artistic Images, Image and Vision Computing, vol. 32, p. 414--423, 2014.PDF icon Technical Report (2.86 MB)
M. Enzweiler, Kanter, P., and Gavrila, D. M., Monocular Pedestrian Recognition Using Motion Parallax, in Proc. IEEE Symposium on Intelligent Vehicles, 2008, pp. 792-797.
M. Enzweiler and Gavrila, D. M., Monocular Pedestrian Detection: Survey and Experiments, IEEE Transactions on Pattern Analysis and Machine Intelligence, available online: IEEE Computer Society Digital Library, http://doi.ieeecomputersociety.org/10.1109/TPAMI.2008.260, 2008.
T. Wagner, Leue, C., Pfeilsticker, K., and Platt, U., Monitoring of the stratospheric chlorine activation by Global Ozone Monitoring Experiment (GOME) OClO measurements in the austral and boreal winters 1995 through 1999, J. Geophys. Res., vol. 106, pp. 4971-4986, 2001.
P. Geißler, Scholz, T., Jähne, B., and Haußecker, H., Monitoring living biomass with in situ microscopy, Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press, p. 632--633, 2000.
B. Jähne and Münnich, K. O., Momentum induced gas exchange through a smooth water surface, models and experimental results from linear and circular wind-water tunnels, Berichte aus dem Sonderforschungsbereich 94 Meeresforschung - Symposium on Capillary Waves and Gas Exchange, Trier July 2--6, 1979. Univ. Hamburg, p. 55--62, 1980.
P. J. Gee, Hamprecht, F. A., Schuler, L. D., van Gunsteren, W. F., Duchardt, E., Schwalbe, H., Albert, M., and Seebach, D., A molecular dynamics simulation study of the conformational preferences of oligo-(3- hydroxyalcanoic acids) in chloroform solution, Helv. Chim. Acta, vol. 85, pp. 618-632, 2002.
H. Weiss, Modulation von Windwellen, Universität Heidelberg, 1997.
D. van Halsema, Snoeij, P., Calkoen, C. J., Oost, W. A., Vogelzang, J., and Jähne, B., Modulation of the microwave backscatter by long gravity waves as measured in a very large wind/wave flume, in Proc. IGARSS '91, 1991, vol. 3, p. 1293--1296.
H. Herrmann and Jähne, B., Modulare Software für die höherdimensionale Bildverarbeitung, in 5. ABW-Workshop, TA Esslingen 20.--21.01.1998, 1998.
D. Kondermann, Modular Optical Flow Estimation with Applications to Fluid Dynamics. IWR, Fakultät für Mathematik und Informatik, Univ.\ Heidelberg, 2009.
D. Kondermann, Modular Optical Flow Estimation with Applications to Fluid Dynamics. IWR, Fakultät für Mathematik und Informatik, Univ. Heidelberg, 2009.
L. Görlitz, Modern Concepts for Semi-Supervised Learning and Multidimensional Image Processing. University of Heidelberg, 2007.
M. Maiß, Modelluntersuchung zum Einfluss von Blasen auf den Gasaustausch zwischen Atmosphäre und Meer, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1986.
B. Schmitzer and Schnörr, C., Modelling convex shape priors and matching based on the Gromov-Wasserstein distance, Journal of Mathematical Imaging and Vision, vol. 46, pp. 143-159, 2013.PDF icon Technical Report (957.78 KB)
B. Schmitzer and Schnörr, C., Modelling convex shape priors and matching based on the Gromov-Wasserstein distance, Journal of Mathematical Imaging and Vision, vol. 46, pp. 143-159, 2013.
M. Wulf, Stiehl, H. S., and Schnörr, C., Modeling spatiotemporal receptive fields in the primate retina, in Proc. Cognitive Neurosci. Conf., Bremen, Germany, 1999.
B. X. Kausler, Modeling of Spectral Peaks for Mass-Spectrometry-based Proteomics, Universities of Karlsruhe and Heidelberg, 2010.

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