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V. Kolmogorov, Criminisi, A., Blake, A., Cross, G., and Rother, C., “Probabilistic fusion of stereo with color and contrast for bilayer segmentation”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, pp. 1480–1492, 2006.
P. Kohli, Shekhovtsov, A., Rother, C., Kolmogorov, V., and Torr, P., “On partial optimality in multi-label MRFs”, in Proceedings of the 25th International Conference on Machine Learning, 2008, pp. 480–487.
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C. Rother, Kolmogorov, V., Lempitsky, V., and Szummer, M., “Optimizing Binary MRFs via Extended Roof Duality Technical Report MSR-TR-2007-46”, Computing, 2007.
C. Rother, Kolmogorov, V., Lempitsky, V., and Szummer, M., “Optimizing binary MRFs via extended roof duality”, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2007.
S. Vicente, Rother, C., and Kolmogorov, V., “Object cosegmentation”, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2011, pp. 2217–2224.
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V. Kolmogorov and Rother, C., “Minimizing nonsubmodular functions with graph cuts - A review”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29. pp. 1274–1279, 2007.
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S. Vicente, Kolmogorov, V., and Rother, C., “Joint optimization of segmentation and appearance models”, in Proceedings of the IEEE International Conference on Computer Vision, 2009, pp. 755–762.
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C. Rother and Kolmogorov, V., “Interactive foreground extraction using graph cut”, Advances in Markov \ldots, pp. 1–20, 2011.
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S. Vicente, Kolmogorov, V., and Rother, C., “Graph cut based image segmentation with connectivity priors”, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008.
C. Rother, Kolmogorov, V., and Blake, A., “"GrabCut" - Interactive foreground extraction using iterated graph cuts”, in ACM Transactions on Graphics, 2004, vol. 23, pp. 309–314.
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L. Torresani, Kolmogorov, V., and Rother, C., “Feature correspondence via graph matching: Models and global optimization”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2008, vol. 5303 LNCS, pp. 596–609.
L. Torresani, Kolmogorov, V., and Rother, C., “Feature correspondence via graph matching: Models and global optimization”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2008, vol. 5303 LNCS, pp. 596–609.
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C. Rother, Kumar, S., Kolmogorov, V., and Blake, A., “Digital tapestry [automatic image synthesis]”, in Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, 2005, vol. 1, pp. 589–596.
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S. Vicente, Kolmogorov, V., and Rother, C., “Cosegmentation revisited: Models and optimization”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2010, vol. 6312 LNCS, pp. 465–479.
C. Rother, Kolmogorov, V., Minka, T., and Blake, A., “Cosegmentation of image pairs by histogram matching - Incorporating a global constraint into MRFs”, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2006, vol. 1, pp. 994–1000.
V. Kolmogorov and Rother, C., “Comparison of energy minimization algorithms for highly connected graphs”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2006, vol. 3952 LNCS, pp. 1–15.
V. Kolmogorov and Rother, C., “Comparison of energy minimization algorithms for highly connected graphs”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2006, vol. 3952 LNCS, pp. 1–15.
R. Szeliski, Zabih, R., Scharstein, D., Veksler, O., Kolmogorov, V., Agarwala, A., Tappen, M., and Rother, C., “A comparative study of energy minimization methods for Markov random fields with smoothness-based priors”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, pp. 1068–1080, 2008.
R. Szeliski, Zabih, R., Scharstein, D., Veksler, O., Kolmogorov, V., Agarwala, A., Tappen, M., and Rother, C., “A comparative study of energy minimization methods for Markov random fields with smoothness-based priors”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, pp. 1068–1080, 2008.
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V. Kolmogorov, Boykov, Y., and Rother, C., “Applications of parametric maxflow in computer vision”, in Proceedings of the IEEE International Conference on Computer Vision, 2007.
V. Kolmogorov, Boykov, Y., and Rother, C., “Applications of parametric maxflow in computer vision”, in Proceedings of the IEEE International Conference on Computer Vision, 2007.