Publications

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2011
B. Andres, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., Probabilistic Image Segmentation with Closedness Constraints, in Proceedings of ICCV, 2011.PDF icon Technical Report (2.95 MB)
B. Andres, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., Probabilistic Image Segmentation with Closedness Constraints, in Proceedings of ICCV, 2011.
B. Andres, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., Probabilistic Image Segmentation with Closedness Constraints, in ICCV, Proceedings, 2011, pp. 2611 - 2618.PDF icon Technical Report (8.18 MB)
B. Savchynskyy, Kappes, J. H., Schmidt, S., and Schnörr, C., A Study of Nesterov's Scheme for Lagrangian Decomposition and MAP Labeling, in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2011.PDF icon Technical Report (408.99 KB)
B. Savchynskyy, Kappes, J. H., Schmidt, S., and Schnörr, C., A Study of Nesterov's Scheme for Lagrangian Decomposition and MAP Labeling, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), accepted as oral presentation, pp. 1817 - 1823, 2011.
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.
2010
B. Andres, Kappes, J. H., Köthe, U., Schnörr, C., and Hamprecht, F. A., An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM, in Pattern Recognition, Proc.~32th DAGM Symposium, 2010.PDF icon Technical Report (218.43 KB)
B. Andres, Kappes, J. H., Köthe, U., Schnörr, C., and Hamprecht, F. A., An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM, in Pattern Recognition, Proc.~32th DAGM Symposium, 2010, pp. 353-362.
B. Andres, Kappes, J. H., Köthe, U., and Hamprecht, F. A., The Lazy Flipper: MAP Inference in Higher-Order Graphical Models by Depth-limited Exhaustive Search, ArXiv e-prints, 2010.PDF icon Technical Report (625.06 KB)
J. H. Kappes, Schmidt, S., and Schnörr, C., MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation, in European Conference on Computer Vision (ECCV), 2010, vol. 6313, p. 735--747.PDF icon Technical Report (1.49 MB)
J. H. Kappes, Schmidt, S., and Schnörr, C., MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation, in European Conference on Computer Vision (ECCV), 2010, vol. 6313, p. 735--747.
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)
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)
2007
R. Karim, Bergtholdt, M., Kappes, J. H., and Schnörr, C., Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification, in Pattern Recognition -- 29th DAGM Symposium, 2007, vol. 4713, pp. 395-404.PDF icon Technical Report (491.56 KB)
S. Schmidt, Kappes, J. H., Bergtholdt, M., Pekar, V., Dries, S., Bystrov, D., and Schnörr, C., Spine Detection and Labeling Using a Parts-Based Graphical Model, in Proc. 20th International Conference on Information Processing in Medical Imaging (IPMI 2007), 2007, vol. 4584, pp. 122-133.PDF icon Technical Report (1.46 MB)

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