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2004
D. Cremers, Sochen, N., and Schnörr, C., “Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation”, in Computer Vision – ECCV 2004, 2004, vol. 3024, pp. 74-86.
T. Kohlberger, Schnörr, C., Bruhn, A., and Weickert, J., “Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing”, in Computer Vision – ECCV 2004, 2004, vol. 3024, pp. 205-216.
R. Strzodka and Garbe, C. S., “Real-time motion estimation and visualization on graphics cards”, in Proceedings IEEE Visualization 2004, 2004, p. 545--552.
C. S. Garbe, Schimpf, U., and Jähne, B., “A surface renewal model to analyze infrared image sequences of the ocean surface for the study of air-sea heat and gas exchange”, J. Geophys. Res., vol. 109, pp. 1-18, 2004.
J. Neumann, Schnörr, C., and Steidl, G., “SVM-based Feature Selection by Direct Objective Minimisation”, in Pattern Recognition, Proc. 26th DAGM Symposium, 2004, vol. 3175, pp. 212-219.
J. Neumann, Schnörr, C., and Steidl, G., “SVM-based Feature Selection by Direct Objective Minimisation”, in Pattern Recognition, Proc. 26th DAGM Symposium, 2004, vol. 3175, pp. 212-219.
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.
2005
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.
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.
B. Jähne, Nielsen, R., Popp, C., Schimpf, U., and Garbe, C. S., “Air-Sea Gas Transfer; Schmidt Number dependency and intermittency”, in Presented at: International Liege Colloquium on Ocean Dynamics, Gas Transfer at Water Surfaces, 2005.
S. Weber, Schnörr, C., Schüle, T., and Hornegger, J., “Binary Tomography by Iterating Linear Programs”, Geometric Properties from Incomplete Data. Springer, 2005.
S. Weber, Schnörr, C., Schüle, T., and Hornegger, J., “Binary Tomography by Iterating Linear Programs”, Geometric Properties from Incomplete Data. Springer, 2005.
B. Jähne, Schmidt, M., and Rocholz, R., “Combined optical slope/height measurements of short wind waves: principles and calibration”, Meas. Sci. Technol., vol. 16, p. 1937--1944, 2005.
J. Neumann, Schnörr, C., and Steidl, G., “Combined SVM-based Feature Selection and Classification”, Machine Learning, vol. 61, pp. 129-150, 2005.
J. Neumann, Schnörr, C., and Steidl, G., “Combined SVM-based Feature Selection and Classification”, Machine Learning, vol. 61, pp. 129-150, 2005.
L. Görlitz, Hamprecht, F. A., and Staudacher, M., “Detektion von Partikeln in Intensitätsbildern mit Hilfe eines morphologischen Skalenraumes”. Robert-Bosch GmbH, University of Heidelberg, 2005.
T. S. Schwarz, “Development of a depth resolving boundary layer visualiziation für gas exchange at free water surfaces”, University of Heidelberg, 2005.
A. Bruhn, Weickert, J., Kohlberger, T., and Schnörr, C., “Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time”, in Scale-Space 2005, 2005, vol. 3459, pp. 279–290.
J. Yuan, Ruhnau, P., Mémin, E., and Schnörr, C., “Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation”, in Scale-Space 2005, 2005, vol. 3459, pp. 267–278.
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”, Discr. Appl. Math., vol. 151, pp. 229-243, 2005.
T. Kohlberger, Schnörr, C., Bruhn, A., and Weickert, J., “Domain decomposition for variational optical flow computation”, IEEE Trans. Image Proc., vol. 14, pp. 1125-1137, 2005.
J. Neumann, Schnörr, C., and Steidl, G., “Efficient Wavelet Adaption for Hybrid Wavelet-Large Margin Classifiers”, Pattern Recognition, vol. 38, pp. 1815-1830, 2005.
J. Neumann, Schnörr, C., and Steidl, G., “Efficient Wavelet Adaption for Hybrid Wavelet-Large Margin Classifiers”, Pattern Recognition, vol. 38, pp. 1815-1830, 2005.
T. Hara, Wendelbo, J., Garbe, C. S., Schimpf, U., and Frew, N. M., “Estimation of air-sea gas and heat fluxes from infrared imagery and surface wave measurements”, in Presented at: International Liège Colloquium on Ocean Dynamics, Gas Transfer at Water Surfaces, 2005.
B. Jähne, Schimpf, U., Garbe, C. S., and Degreif, K., “The Heidelberg Aeolotron: new perspectives for laboratory investigations of small-scale air-sea interaction”, in Poster presented at: International Liege Colloquium on Ocean Dynamics, Gas Transfer at Water Surfaces, 2005.
D. Banerjee, Schabel, S., Garbe, C. S., Schimpf, U., Jähne, B., and von Spiegel, W., “High resolution optical measurement techniques in paper drying”, Inpaper International - 9-10, vol. 4. p. 16--22, 2005.
D. Banerjee, Schabel, S., Garbe, C. S., Schimpf, U., Jähne, B., and von Spiegel, W., “High resolution optical measurement techniques in paper drying”, Inpaper International - 9-10, vol. 4. p. 16--22, 2005.
U. Schimpf, Frew, N. M., Jähne, B., and Hühnerfuss, H., “Infrared imaging: a novel tool to investigate the influence of surface slicks on air-sea gas transfer”, M. Gade and Korenowski, G. M., Eds. Springer, 2005, pp. 239-252.
M. Heiler and Schnörr, C., “Learning Sparse Image Codes by Convex Programming”, in Proc. Tenth IEEE Int. Conf. Computer Vision (ICCV'05), Beijing, China, 2005, pp. 1667-1674.
A. Bruhn, Weickert, J., and Schnörr, C., “Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods”, vol. 61, pp. 211-231, 2005.
M. Welk, Becker, F., Schnörr, C., and Weickert, J., “Matrix-Valued Filters as Convex Programs”, in Scale-Space 2005, 2005, vol. 3459, pp. 204–216.
M. Heiler and Schnörr, C., “Natural Image Statistics for Natural Image Segmentation”, Int. J. Comp. Vision, vol. 63, pp. 5–19, 2005.
S. Weber, Schüle, T., and Schnörr, C., “Prior Learning and Convex-Concave Regularization of Binary Tomography”, Electr. Notes in Discr. Math., vol. 20, pp. 313-327, 2005.
S. Weber, Schüle, T., and Schnörr, C., “Prior Learning and Convex-Concave Regularization of Binary Tomography”, Electr. Notes in Discr. Math., vol. 20, pp. 313-327, 2005.

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