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C. Gosch, Fundana, K., Heyden, A., and Schnörr, C., “View Point Tracking of Rigid Object Based on Shape Sub-Manifolds”, in Computer Vision – ECCV 2008, 2008, vol. 5302, pp. 251–263.
C. Gosch, Fundana, K., Heyden, A., and Schnörr, C., “View Point Tracking of Rigid Object Based on Shape Sub-Manifolds”, in Computer Vision -- ECCV 2008, 2008, vol. 5302, p. 251--263.PDF icon Technical Report (523.17 KB)
D. van Halsema, de Loor, P., and Jähne, B., “VIERS-1: A Programme of Wind Scatterometry”, in Geoscience and Remote Sensing Symposium, Proc.\ IGARSS'88, 1988, vol. 1, p. 572.
J. A. M. Janssen, Calkoen, C. J., van Halsema, D., Jähne, B., Janssen, P. A. E. M., Oost, W. A., Snoeij, P., Vogelzang, J., and Wallbrink, H., “The VIERS scatterometer algorithm”, in Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993, 1996, p. 749--754.
J. A. M. Janssen, Calkoen, C. J., van Halsema, D., Jähne, B., Janssen, P. A. E. M., Oost, W. A., Snoeij, P., Vogelzang, J., and Wallbrink, H., “The VIERS scatterometer algorithm”, in Proc. The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993, 1993, p. 749--754.
B. Antic and Ommer, B., “Video Parsing for Abnormality Detection”, in Proceedings of the IEEE International Conference on Computer Vision, 2011, p. 2415--2422.PDF icon Technical Report (990.21 KB)
G. Balschbach, “Verschiedene Verfahren zur Visualisierung und Größenbestimmung von Gasblasen in Wasser”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1994.
R. Beranek, “Vermessung von Blickpunkten durch automatische Bildanalyse für ergonomische Fragestellungen bei der Fahrzeugkonstruktion”, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1996.
B. Jähne, “Vergeichende Analyse moderner Bildsensoren für die optische Messtechnik”, in Sensoren und Messsysteme 2004, 2004, vol. 1829, p. 317--324.
J. Strobel, Görlitz, L., and Staudacher, M., “Verfahren und Prüfkörper zur Bestimmung der Reinigungswirkung in einem Ultraschallbild”. 2005.
W. Mischler, Rocholz, R., and Weissbach, T., “Vereinfachung der Massenbilanz im Blasentank für luftseitige Messung”, Institut für Umweltphysik, 2011.
F. Weißer, “Verdunstungsmessungen in einem ringförmigen Wind-Wasser-Kanal mit Hilfe von Psychochrometern und einem WLD-System”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1980.
F. Raisch, Scharr, H., Kirchgeßner, N., Jähne, B., Fink, R. H. A., and Uttenweiler, D., “Velocity and feature estimation of actin filaments using active contours in noisy fluorescence image sequences”, in Proc. 2nd IASTED Int. Conf. Visualization, Imaging and Image Processing, 2002, p. 645--650.
M. Kandemir, Haußmann, M., Diego, F., Rajamani, K., van der Laak, J., and Hamprecht, F. A., “Variational weakly-supervised Gaussian processes”, BMVC. Proceedings. 2016.PDF icon Technical Report (3.28 MB)
P. Esser, Sutter, E., and Ommer, B., “A Variational U-Net for Conditional Appearance and Shape Generation”, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (short Oral), 2018.
B. Goldlücke and Wanner, S., “The Variational Structure of Disparity and Regularization of 4D Light Fields”, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
M. Bergtholdt, Cremers, D., and Schnörr, C., “Variational Segmentation with Shape Priors”, Handbook of Mathematical Models in Computer Vision. Springer, pp. 147-160, 2005.
F. Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., “Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences”, International Journal of Computer Vision, vol. 105, pp. 269–297, 2013.
F. Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., “Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences”, in 2011 IEEE International Conference on Computer Vision (ICCV), 2011, pp. 1692 – 1699.
F. Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., “Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences”, International Journal of Computer Vision, vol. 105, no. 3, p. 269--297, 2013.PDF icon Technical Report (15.4 MB)
F. Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., “Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences”, in 2011 IEEE International Conference on Computer Vision (ICCV), 2011, p. 1692 -- 1699.PDF icon Technical Report (4.9 MB)
F. Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., “Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences”, in 2011 IEEE International Conference on Computer Vision ICCV, 2011, pp. 1692-1699.
F. Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., “Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences”, International Journal of Computer Vision, vol. 105 (3), pp. 269-297, 2013.
C. Schnörr, Schüle, T., and Weber, S., “Variational Reconstruction with DC-Programming”, Advances in Discrete Tomography and Its Applications. Birkhäuser, Boston, 2007.
F. Savarino and Schnörr, C., “A Variational Perspective on the Assignment Flow”, in Proc. SSVM, 2019.
P. Ruhnau, Kohlberger, T., Nobach, H., and Schnörr, C., “Variational Optical Flow Estimation for Particle Image Velocimetry”, Experiments in Fluids, vol. 38, p. 21--32, 2005.PDF icon Technical Report (1.21 MB)
P. Ruhnau, Kohlberger, T., Nobach, H., and Schnörr, C., “Variational Optical Flow Estimation for Particle Image Velocimetry”, Proc. Lasermethoden in der Strömungsmeßtechnik. Deutsche Gesellschaft für Laser-Anemometrie GALA e.V., Karlsruhe, 2004.
P. Ruhnau, Kohlberger, T., Nobach, H., and Schnörr, C., “Variational Optical Flow Estimation for Particle Image Velocimetry”, Experiments in Fluids, vol. 38, pp. 21–32, 2005.
J. Weickert and Schnörr, C., “Variational Optic Flow Computation with a Spatio-Temporal Smoothness Constraint”, J. Math. Imaging and Vision, vol. 14, pp. 245–255, 2001.
A. Bruhn, Weickert, J., Feddern, C., Kohlberger, T., and Schnörr, C., “Variational optic flow computation in real-time”, IEEE Trans. Image Proc., vol. 14, pp. 608–615, 2005.
A. Bruhn, Weickert, J., Feddern, C., Kohlberger, T., and Schnörr, C., “Variational Optic Flow Computation in Real-Time”, Dept. Math. and Comp. Science, Saarland University, Germany, 89, 2003.
C. Schnörr, “Variational Methods for Adaptive Image Smoothing and Segmentation”, in Handbook on Computer Vision and Applications: Signal Processing and Pattern Recognition, San Diego, 1999, vol. 2, pp. 451–484.
S. Wanner and Goldlücke, B., “Variational light field analysis for disparity estimation and super-resolution”, IEEE Trans. Pattern Analysis Machine Intelligence, vol. 36, p. 606--619, 2014.
P. Swoboda and Schnörr, C., “Variational Image Segmentation and Cosegmentation with the Wasserstein Distance”, in Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013, vol. 8081, pp. 321–334.
P. Swoboda and Schnörr, C., “Variational Image Segmentation and Cosegmentation with the Wasserstein Distance”, in Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013, vol. 8081, p. 321--334.PDF icon Technical Report (8.06 MB)

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