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2010
V. Lempitsky, Rother, C., Roth, S., and Blake, A., “Fusion moves for markov random field optimization”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, pp. 1392–1405, 2010.
V. Gulshan, Rother, C., Criminisi, A., Blake, A., and Zisserman, A., “Geodesic star convexity for interactive image segmentation”, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010, pp. 3129–3136.
B. Ommer and Buhmann, J. M., “Learning the Compositional Nature of Visual Object Categories for Recognition”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, p. 501--516, 2010.PDF icon Technical Report (2.78 MB)
D. Breitenreicher and Schnörr, C., “Robust 3D object registration without explicit correspondence using geometric integration”, Machine Vision and Applications, vol. 21, pp. 601-611, 2010.PDF icon Technical Report (1.65 MB)
D. Breitenreicher and Schnörr, C., “Robust 3D object registration without explicit correspondence using geometric integration”, Machine Vision and Applications, vol. 21, pp. 601-611, 2010.
F. Rathke, Hansen, K., Brefeld, U., and Müller, K. - R., “StructRank: A new approach for ligand-based virtual screening”, J. Chem. Inf. Model., vol. 51, pp. 83–92, 2010.
M. Bergtholdt, Kappes, J. H., Schmidt, S., and Schnörr, C., “A Study of Parts-Based Object Class Detection Using Complete Graphs”, Int.~J.~Comp.~Vision, vol. 87, pp. 93-117, 2010.PDF icon Technical Report (2.18 MB)
M. Bergtholdt, Kappes, J. H., Schmidt, S., and Schnörr, C., “A Study of Parts-Based Object Class Detection Using Complete Graphs”, Int. J. Comp. Vision, vol. 87, pp. 93-117, 2010.
M. Bleyer, Rother, C., and Kohli, P., “Surface stereo with soft segmentation”, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010, pp. 1570–1577.
A. Berthe, Kondermann, D., Christensen, C., Goubergrits, L., Garbe, C. S., Affeld, K., and Kertzscher, U., “Three-dimensional, three-component wall-PIV”, Exp. Fluids, vol. 48, p. online, 2010.
2009
V. Beushausen, Roetmann, K., Schmunk, W., Wellhausen, M., Garbe, C. S., and Jähne, B., “2D-measurement technique for simultaneous quantitative determination of mixing ratio and velocity field in microfluidic applications”, Imaging Measurement Methods for Flow Analysis, Results of the DFG Priority Programme 1147 Imaging Measurement Methods for Flow Analysis 2003-2009, vol. 106. Springer, p. 155--164, 2009.
M. Hayn, Beirle, S., Hamprecht, F. A., Platt, U., Menze, B. H., and Wagner, T., “Analysing spatio-temporal patterns of the global NO2-distribution retrieved frome GOME satellite observations using a generalized additive model”, Atmospheric Chemistry and Physics, vol. 9, pp. 9367-9398, 2009.PDF icon Technical Report (2.52 MB)
J. Fehr and Burkhardt, H., “A Bag of Features Approach for 3D Shape Retrieval”, in Proceedings of the ISVC 2009, Part I, 2009, vol. 5875, pp. 34-43.
J. Fehr and Burkhardt, H., “A Bag of Features Approach for 3D Shape Retrieval”, in Proceedings of the ISVC 2009, Part I, 2009, vol. 5875, pp. 34-43.
B. H. Menze, Kelm, B. Michael, Masuch, R., Himmelreich, U., Bachert, P., Petrich, W., and Hamprecht, F. A., “A Comparison of Random Forest and its Gini Importance with Standard Chemometric Methods for the Feature Selection and Classification of Spectral Data”, BMC Bioinformatics, vol. 10:213, 2009.PDF icon Technical Report (675 KB)
S. V. E. Keränen, DePace, A., Hendriks, C. L. Luengo, Fowlkes, C., Arbelaez, P., Ommer, B., Brox, T., Henriquez, C., Wunderlich, Z., Eckenrode, K., Fischer, B., Hammonds, A., and Celniker, S. E., “Computational Analysis of Quantitative Changes in Gene Expression and Embryo Morphology between Species”, in Evolution-The Molecular Landscape, 2009.
F. Lauer, Bloch, G., and Vidal, R., “A Continuous Optimization Framework for Hybrid System Identification”, in submitted to Automatica, 2009.
J. Lellmann, Kappes, J. H., Yuan, J., Becker, F., Schnörr, C., Mórken, K., and Lysaker, M., “Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation”, in Scale Space and Variational Methods in Computer Vision (SSVM 2009), 2009, vol. 5567, pp. 150-162.
J. Lellmann, Kappes, J. H., Yuan, J., Becker, F., and Schnörr, C., “Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation”, in Scale Space and Variational Methods in Computer Vision (SSVM 2009), 2009, vol. 5567, pp. 150-162.PDF icon Technical Report (1.75 MB)
J. Lellmann, Becker, F., and Schnörr, C., “Convex Optimization for Multi-Class Image Labeling with a Novel Family of Total Variation Based Regularizers”, in Proceedings of the IEEE Conference on Computer Vision (ICCV 09) Kyoto, Japan, 2009, pp. 646-653.
J. Lellmann, Becker, F., and Schnörr, C., “Convex Optimization for Multi-Class Image Labeling with a Novel Family of Total Variation Based Regularizers”, in IEEE International Conference on Computer Vision (ICCV), 2009, p. 646 -- 653.PDF icon Technical Report (930.18 KB)
J. Fehr, Reisert, M., and Burkhardt, H., “Cross-Correlation and Rotation Estimation of Local 3D Vector FieldPatches”, in Proceedings of the ISVC 2009, Part I, 2009, vol. 5875, pp. 287-296.
J. Fehr, Reisert, M., and Burkhardt, H., “Cross-Correlation and Rotation Estimation of Local 3D Vector FieldPatches”, in Proceedings of the ISVC 2009, Part I, 2009, vol. 5875, pp. 287-296.
C. Bähnisch, Stelldinger, P., and Köthe, U., “Fast and Accurate 3D Edge Detection for Surface Reconstruction”, in Pattern Recognition, 2009, vol. 5748, pp. 111-120.
D. Breitenreicher and Schnörr, C., “Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration Without Correspondence”, in Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2009), 2009, vol. 5681, pp. 274-287.PDF icon Technical Report (752.29 KB)
D. Breitenreicher and Schnörr, C., “Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration Without Correspondence”, in Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2009), 2009, vol. 5681, pp. 274-287.PDF icon Technical Report (752.29 KB)
D. Breitenreicher and Schnörr, C., “Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration Without Correspondence”, in Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2009), 2009, vol. 5681, pp. 274-287.PDF icon Technical Report (752.29 KB)
D. Breitenreicher and Schnörr, C., “Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration Without Correspondence”, in Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2009), 2009, vol. 5681, pp. 274-287.
D. Breitenreicher and Schnörr, C., “Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration Without Correspondence”, in Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2009), 2009, vol. 5681, pp. 274-287.
D. Breitenreicher and Schnörr, C., “Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration Without Correspondence”, in Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2009), 2009, vol. 5681, pp. 274-287.
J. Fehr and Burkhardt, H., “Local Rotation Invariant Patch Descriptors for 3D Vector Fields”, in to be submitted, 2009.
B. Andres, Köthe, U., Bonea, A., Nadler, B., and Hamprecht, F. A., “Quantitative Assessment of Image Segmentation Quality by Random Walk Relaxation Times”, in Pattern Recognition. 31st DAGM Symposium, Jena, Germany, September 9-11, 2009. Proceedings, 2009, vol. 5748, pp. 502-511.PDF icon Technical Report (3.08 MB)
B. Ommer, Mader, T., and Buhmann, J. M., “Seeing the Objects Behind the Dots: Recognition in Videos from a Moving Camera”, International Journal of Computer Vision, vol. 83, p. 57--71, 2009.PDF icon Technical Report (9.61 MB)
M. Bleyer, Gelautz, M., Rother, C., and Rhemann, C., “A stereo approach that handles the matting problem via imagewarping”, in 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, vol. 2009 IEEE, pp. 501–508.
F. Becker, “Variational Correlation and Decomposition Methods for Particle Image Velocimetry”. Heidelberg University, Faculty of Mathematics and Computer Sciences, Heidelberg, Germany, 2009.

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