Publications
C
Szeliski, R, Zabih, R, Scharstein, D, Veksler, O, Kolmogorov, V, Agarwala, A, Tappen, M and Rother, C (2008).
A comparative study of energy minimization methods for Markov random fields with smoothness-based priors.
IEEE Transactions on Pattern Analysis and Machine Intelligence. Springer-Verlag.
30 1068–1080.
http://vision.middlebury.edu/MRF. Szeliski, R, Zabih, R, Scharstein, D, Veksler, O, Kolmogorov, V, Agarwala, A, Tappen, M and Rother, C (2008).
A comparative study of energy minimization methods for Markov random fields with smoothness-based priors.
IEEE Transactions on Pattern Analysis and Machine Intelligence.
30 1068–1080
Kolmogorov, V and Rother, C (2006).
Comparison of energy minimization algorithms for highly connected graphs.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
3952 LNCS 1–15
Kolmogorov, V and Rother, C (2006).
Comparison of energy minimization algorithms for highly connected graphs.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
3952 LNCS 1–15
Vicente, S, Kolmogorov, V and Rother, C (2010).
Cosegmentation revisited: Models and optimization.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
6312 LNCS 465–479
O
Vicente, S, Rother, C and Kolmogorov, V (2011).
Object cosegmentation.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2217–2224
Rother, C, Kolmogorov, V, Lempitsky, V and Szummer, M (2007).
Optimizing binary MRFs via extended roof duality.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition