Publications

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Conference Paper
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)
J. H. Kappes, Speth, M., Andres, B., Reinelt, G., and Schnörr, C., Globally Optimal Image Partitioning by Multicuts, in EMMCVPR, 2011, pp. 31-44.PDF icon Technical Report (7.3 MB)
J. H. Kappes, Speth, M., Andres, B., Reinelt, G., and Schnörr, C., Globally Optimal Image Partitioning by Multicuts, in EMMCVPR, 2011.PDF icon Technical Report (7.47 MB)
B. Savchynskyy, Kappes, J. H., Swoboda, P., and Schnörr, C., Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation, in NIPS. Proceedings, 2013, pp. 1950-1958.
B. Savchynskyy, Kappes, J. H., Swoboda, P., and Schnörr, C., Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation, in NIPS, 2013.PDF icon Technical Report (499.17 KB)
T. Beier, Hamprecht, F. A., and Kappes, J. H., Fusion Moves for Correlation Clustering, in CVPR. Proceedings, 2015, pp. 3507-3516.PDF icon Technical Report (1.19 MB)
S. Schmidt, Savchynskyy, B., Kappes, J. H., and Schnörr, C., Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy Minimization, in EMMCVPR 2011, 2011, vol. 6819, pp. 89-103.
S. Schmidt, Savchynskyy, B., Kappes, J. H., and Schnörr, C., Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy Minimization, in EMMCVPR, 2011, vol. 6819, pp. 89-103.PDF icon Technical Report (684.13 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.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. Savchynskyy, Schmidt, S., Kappes, J. H., and Schnörr, C., Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing, in UAI 2012, 2012.PDF icon Technical Report (529 KB)
T. Beier, Kröger, T., Kappes, J. H., Köthe, U., and Hamprecht, F. A., Cut, Glue and Cut: A Fast, Approximate Solver for Multicut Partitioning, in 2014 {IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR} 2014, Columbus, OH, USA, June 23-28, 2014, 2014.PDF icon Technical Report (10.06 MB)
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, 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. H. Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Sungwoong, K., Kausler, B. X., Lellmann, J., Komodakis, N., and Rother, C., A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems, in CVPR 2013. Proceedings, 2013.PDF icon Technical Report (1.35 MB)
J. H. Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Lellmann, J., Komodakis, N., and Rother, C., A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problem, in CVPR, 2013.PDF icon Technical Report (1.35 MB)
J. H. Kappes, Savchynskyy, B., and Schnörr, C., A Bundle Approach To Efficient MAP-Inference by Lagrangian Relaxation, in CVPR. Proceedings, 2012, pp. 1688-1695.
J. H. Kappes, Savchynskyy, B., and Schnörr, C., A Bundle Approach To Efficient MAP-Inference by Lagrangian Relaxation, in CVPR, 2012.PDF icon Technical Report (430.63 KB)
T. Kröger, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., Asymmetric Cuts: Joint Image Labeling and Partitioning, in Pattern Recognition - 36th German Conference, {GCPR} 2014, Münster, Germany, September 2-5, 2014, Proceedings, 2014.PDF icon Technical Report (3.46 MB)

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