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2005
C. Schellewald and Schnörr, C., “Probabilistic Subgraph Matching Based on Convex Relaxation”, in Proc. Int. Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'05), 2005, vol. 3757, pp. 171-186.
C. Schellewald and Schnörr, C., “Probabilistic Subgraph Matching Based on Convex Relaxation”, in Proc. Int. Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'05), 2005, vol. 3757, pp. 171-186.
M. Heiler and Schnörr, C., “Reverse-Convex Programming for Sparse Image Codes”, in Proc. Int. Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'05), 2005, vol. 3757, pp. 600-616.
M. Heiler, Keuchel, J., and Schnörr, C., “Semidefinite Clustering for Image Segmentation with A-priori Knowledge”, Pattern Recognition, Proc. 27th DAGM Symposium, vol. 3663. Springer, pp. 309–317, 2005.
M. Bergtholdt and Schnörr, C., “Shape Priors and Online Appearance Learning for Variational Segmentation and Object Recognition in Static Scenes”, Pattern Recognition, Proc. 27th DAGM Symposium, vol. 3663. Springer, pp. 342–350, 2005.
J. Yuan, Schnörr, C., Steidl, G., and Becker, F., “A Study of Non-Smooth Convex Flow Decomposition”, in Proc. Variational, Geometric and Level Set Methods in Computer Vision, 2005, vol. 3752, pp. 1–12.
J. Yuan, Schnörr, C., Steidl, G., and Becker, F., “A Study of Non-Smooth Convex Flow Decomposition”, in Proc. Variational, Geometric and Level Set Methods in Computer Vision, 2005, vol. 3752, pp. 1–12.
B. H. Menze, Ur, J. A., and Sherratt, A. G., “Tell Spotting - Surveying Near Eastern Settlement Mounds from Space”, in Proceedings of the XXth CIPA International Symposium 2005, Torino, Italy, 2005, pp. 217-223.PDF icon Technical Report (2.53 MB)
P. Ruhnau, Gütter, C., Putze, T., and Schnörr, C., “A variational approach for particle tracking velocimetry”, Meas. Science and Techn., vol. 16, pp. 1449-1458, 2005.
N. Paragios, Faugeras, O., Chan, T., and Schnörr, C., Eds., “Variational, Geometric and Level Sets in Computer Vision (VLSM'05)”, lncs, vol. 3752. Springer, Beijing, China, 2005.
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.
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”, Experiments in Fluids, vol. 38, pp. 21–32, 2005.
M. Bergtholdt, Cremers, D., and Schnörr, C., “Variational Segmentation with Shape Priors”, Handbook of Mathematical Models in Computer Vision. Springer, pp. 147-160, 2005.
J. Strobel, Görlitz, L., and Staudacher, M., “Verfahren und Prüfkörper zur Bestimmung der Reinigungswirkung in einem Ultraschallbild”. 2005.
J. Strobel, Görlitz, L., and Staudacher, M., “Verfahren und Prüfkörper zur Bestimmung der Reinigungswirkung in einem Ultraschallbild”. 2005.
2006
U. Schimpf, Popp, C., and Jähne, B., “Active thermography: a local and fast method to investigate heat and gas exchange between ocean and atmosphere”, in Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Heidelberg, 15.-17.03.2006, 2006.
K. Roetmann, Schmunk, W., Garbe, C. S., and Beushausen, V., “Analyse Mikrofluidischer Strömungen mit Molecular Tagging Velocimetry und Planarer Ramanstreuung”, in Tagungsband Lasermethoden in der Strömungsmesstechnik, 2006.
B. Michael Kelm, Müller, N., Menze, B. H., and Hamprecht, F. A., “Bayesian Estimation of Smooth Parameter Maps for Dynamic Contrast-Enhanced MR Images with Block-ICM”, in Proc Computer Vision and Pattern Recognition Workshop (Mathematical Methods in Biomedical Image Analysis), 2006, pp. 96-103.PDF icon Technical Report (232.69 KB)
B. Michael Kelm, Müller, N., Menze, B. H., and Hamprecht, F. A., “Bayesian Estimation of Smooth Parameter Maps for Dynamic Contrast-Enhanced MR Images with Block-ICM”, in Proc Computer Vision and Pattern Recognition Workshop (Mathematical Methods in Biomedical Image Analysis), 2006, pp. 96-103.PDF icon Technical Report (232.69 KB)
S. Weber, Nagy, A., Schüle, T., Schnörr, C., and Kuba, A., “A Benchmark Evaluation of Large-Scale Optimization Approaches to Binary Tomography”, in Discrete Geometry for Computer Imagery (DGCI 2006), 2006, vol. 4245, pp. 146-156.PDF icon Technical Report (301.1 KB)
S. Weber, Nagy, A., Schüle, T., Schnörr, C., and Kuba, A., “A Benchmark Evaluation of Large-Scale Optimization Approaches to Binary Tomography”, in Discrete Geometry for Computer Imagery (DGCI 2006), 2006, vol. 4245, pp. 146-156.PDF icon Technical Report (301.1 KB)
S. Weber, Schüle, T., Schnörr, C., and Kuba, A., “Binary Tomography with Deblurring”, in Combinatorial Image Analysis, 2006, vol. 4040, pp. 375-388.PDF icon Technical Report (803.63 KB)
S. Weber, Schüle, T., Schnörr, C., and Kuba, A., “Binary Tomography with Deblurring”, in Combinatorial Image Analysis, 2006, vol. 4040, pp. 375-388.PDF icon Technical Report (803.63 KB)
M. Heiler and Schnörr, C., “Controlling Sparseness in Non-negative Tensor Factorization”, in Computer Vision -- ECCV 2006, 2006, vol. 3951, pp. 56-67.PDF icon Technical Report (568.86 KB)
B. H. Menze, Ur, J. A., and Sherratt, A. G., “Detection of ancient settlement mounds - Archaeological survey based on the SRTM terrain model”, Photgrammetric Engineering & Remote Sensing, vol. 3, pp. 321-327, 2006.PDF icon Technical Report (643.89 KB)
A. Stahl, Ruhnau, P., and Schnörr, C., “A Distributed Parameter Approach to Dynamic Image Motion”, in ECCV 2006, International Workshop on The Representation and Use of Prior Knowledge in Vision, 2006.PDF icon Technical Report (1.24 MB)
A. Stahl, Ruhnau, P., and Schnörr, C., “A Distributed Parameter Approach to Dynamic Image Motion”, in ECCV 2006, International Workshop on The Representation and Use of Prior Knowledge in Vision, 2006.PDF icon Technical Report (1.24 MB)
M. P. Lichy, Bachert, P., Hamprecht, F. A., Weber, M. - A., Debus, J., Schulz-Ertner, D., Kauczor, H. - U., and Schlemmer, H. - P., “Einsatz der 1H-MR-spektroskopischen Bildgebung in der Strahlentherapie: Cholin als Marker für die Bestimmung der relativen Wahrscheinlichkeit eines Tumorprogresses nach Bestrahlung glialer Hirntumoren”, Zeitung für Röntgenforschung, vol. 178, pp. 627-633, 2006.
M. P. Lichy, Bachert, P., Hamprecht, F. A., Weber, M. - A., Debus, J., Schulz-Ertner, D., Kauczor, H. - U., and Schlemmer, H. - P., “Einsatz der 1H-MR-spektroskopischen Bildgebung in der Strahlentherapie: Cholin als Marker für die Bestimmung der relativen Wahrscheinlichkeit eines Tumorprogresses nach Bestrahlung glialer Hirntumoren”, Zeitung für Röntgenforschung, vol. 178, pp. 627-633, 2006.
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”, Marine Surface Films: Chemical Characteristics, Influence on Air-Sea Interactions, and Remote Sensing. Springer, p. 239--252, 2006.
M. Bergtholdt, Kappes, J. H., and Schnörr, C., “Learning of Graphical Models and Efficient Inference for Object Class Recognition”, in Proc. DAGM 2006, 2006, vol. 375-388, pp. 375-388.
M. Heiler and Schnörr, C., “Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming”, J. Mach. Learning Res., vol. 7, pp. 1385–1407, 2006.
B. Ommer, Sauter, M., and M., B. J., “Learning Top-Down Grouping of Compositional Hierarchies for Recognition”, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Workshop on Perceptual Organization in Computer Vision, 2006, p. 194--194.PDF icon Technical Report (358.98 KB)
K. Roetmann, Garbe, C. S., Schmunk, W., and Beushausen, V., “Micro-flow analysis by molecular tagging velocimetry and planar Raman-scattering”, in Proc.\ of 12th International Symposium on Flow Visualization, 2006.

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