Publications

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Gosch, C, Fundana, K, Heyden, A and Schnörr, C (2008). View Point Tracking of Rigid Object Based on Shape Sub-Manifolds. Computer Vision – ECCV 2008. Springer. 5302 251–263
van Halsema, D, de Loor, P and Jähne, B (1988). VIERS-1: A Programme of Wind Scatterometry. Geoscience and Remote Sensing Symposium, Proc.\ IGARSS'88. 1 572
Janssen, J A M, Calkoen, C J, van Halsema, D, Jähne, B, Janssen, P A E M, Oost, W A, Snoeij, P, Vogelzang, J and Wallbrink, H (1993). The VIERS scatterometer algorithm. Proc. The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993. University of Miami. 749--754
Janssen, J A M, Calkoen, C J, van Halsema, D, Jähne, B, Janssen, P A E M, Oost, W A, Snoeij, P, Vogelzang, J and Wallbrink, H (1996). The VIERS scatterometer algorithm. Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993. RSMAS, University of Miami. 749--754
Antic, B and Ommer, B (2011). Video Parsing for Abnormality Detection. Proceedings of the IEEE International Conference on Computer Vision. IEEE. 2415--2422PDF icon Technical Report (990.21 KB)
Balschbach, G (1994). Verschiedene Verfahren Zur Visualisierung Und Größenbestimmung Von Gasblasen In Wasser. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
Beranek, R (1996). Vermessung Von Blickpunkten Durch Automatische Bildanalyse Für Ergonomische Fragestellungen Bei Der Fahrzeugkonstruktion. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
Jähne, (2004). Vergeichende Analyse moderner Bildsensoren für die optische Messtechnik. Sensoren und Messsysteme 2004. 1829 317--324
Strobel, J, Görlitz, L and Staudacher, M (2005). Verfahren und Prüfkörper zur Bestimmung der Reinigungswirkung in einem Ultraschallbild
Mischler, W, Rocholz, R and Weissbach, T (2011). Vereinfachung Der Massenbilanz Im Blasentank Für Luftseitige Messung. Institut für Umweltphysik
Weißer, (1980). 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
Raisch, F, Scharr, H, Kirchgeßner, N, Jähne, B, Fink, R H A and Uttenweiler, D (2002). Velocity and feature estimation of actin filaments using active contours in noisy fluorescence image sequences. Proc. 2nd IASTED Int. Conf. Visualization, Imaging and Image Processing. 645--650
Kandemir, M, Haußmann, M, Diego, F, Rajamani, K, van der Laak, J and Hamprecht, F A (2016). Variational weakly-supervised Gaussian processes. BMVC. ProceedingsPDF icon Technical Report (3.28 MB)
Esser, P, Sutter, E and Ommer, B (2018). A Variational U-Net for Conditional Appearance and Shape Generation. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (short Oral). https://compvis.github.io/vunet/
Goldlücke, B and Wanner, S (2013). The Variational Structure of Disparity and Regularization of 4D Light Fields. IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Bergtholdt, M, Cremers, D and Schnörr, C (2005). Variational Segmentation with Shape Priors. Handbook of Mathematical Models in Computer Vision. Springer. 147-160
Becker, F, Lenzen, F, Kappes, J H and Schnörr, C (2013). Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences. International Journal of Computer Vision. Springer US. 105 269--297. http://dx.doi.org/10.1007/s11263-013-0639-7PDF icon Technical Report (15.4 MB)
Becker, F, Lenzen, F, Kappes, J H and Schnörr, C (2011). Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences. 2011 IEEE International Conference on Computer Vision (ICCV). 1692 -- 1699PDF icon Technical Report (4.9 MB)
Becker, F, Lenzen, F, Kappes, J H and Schnörr, C (2011). Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences. 2011 IEEE International Conference on Computer Vision (ICCV). 1692 – 1699
Becker, F, Lenzen, F, Kappes, J H and Schnörr, C (2013). Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences. International Journal of Computer Vision. Springer US. 105 269–297. http://dx.doi.org/10.1007/s11263-013-0639-7
Becker, F, Lenzen, F, Kappes, J H and Schnörr, C (2013). Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences. International Journal of Computer Vision. 105 (3) 269-297
Becker, F, Lenzen, F, Kappes, J H and Schnörr, C (2011). Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences. 2011 IEEE International Conference on Computer Vision ICCV. 1692-1699
Schnörr, C, Schüle, T and Weber, S (2007). Variational Reconstruction with DC-Programming. Advances in Discrete Tomography and Its Applications. Birkhäuser, Boston
Savarino, F and Schnörr, C (2019). A Variational Perspective on the Assignment Flow. Proc. SSVM. Springer
Ruhnau, P, Kohlberger, T, Nobach, H and Schnörr, C (2004). Variational Optical Flow Estimation for Particle Image Velocimetry. Proc. Lasermethoden in der Strömungsmeßtechnik. Deutsche Gesellschaft für Laser-Anemometrie GALA e.V., Karlsruhe
Ruhnau, P, Kohlberger, T, Nobach, H and Schnörr, C (2005). Variational Optical Flow Estimation for Particle Image Velocimetry. Experiments in Fluids. 38 21--32PDF icon Technical Report (1.21 MB)
Ruhnau, P, Kohlberger, T, Nobach, H and Schnörr, C (2005). Variational Optical Flow Estimation for Particle Image Velocimetry. Experiments in Fluids. 38 21–32
Weickert, J and Schnörr, C (2001). Variational Optic Flow Computation with a Spatio-Temporal Smoothness Constraint. J. Math. Imaging and Vision. 14 245–255
Bruhn, A, Weickert, J, Feddern, C, Kohlberger, T and Schnörr, C (2003). Variational Optic Flow Computation In Real-Time. Dept. Math. and Comp. Science, Saarland University, Germany
Bruhn, A, Weickert, J, Feddern, C, Kohlberger, T and Schnörr, C (2005). Variational optic flow computation in real-time. IEEE Trans. Image Proc. 14 608–615
Schnörr, (1999). Variational Methods for Adaptive Image Smoothing and Segmentation. Handbook on Computer Vision and Applications: Signal Processing and Pattern Recognition. Academic Press, San Diego. 2 451–484
Wanner, S and Goldlücke, B (2014). Variational light field analysis for disparity estimation and super-resolution. IEEE Trans. Pattern Analysis Machine Intelligence. 36 606--619
Swoboda, P and Schnörr, C (2013). Variational Image Segmentation and Cosegmentation with the Wasserstein Distance. Energy Minimization Methods in Computer Vision and Pattern Recognition. Springer. 8081 321–334
Swoboda, P and Schnörr, C (2013). Variational Image Segmentation and Cosegmentation with the Wasserstein Distance. Energy Minimization Methods in Computer Vision and Pattern Recognition. Springer. 8081 321--334PDF icon Technical Report (8.06 MB)
Schnörr, C and Weickert, J (2000). Variational Image Motion Computation: Theoretical Framework, Problems and Perspectives. Mustererkennung 2000. Springer, Kiel, Germany

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