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2009
M. Hoai Nguyen, Torresani, L., De La Torre, F., and Rother, C., “Weakly supervised discriminative localization and classification: A joint learning process”, in Proceedings of the IEEE International Conference on Computer Vision, 2009, pp. 1925–1932.
2008
P. Vincent Gehler, Rother, C., Blake, A., Minka, T., and Sharp, T., “Bayesian color constancy revisited”, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 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.
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.
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.
V. Lempitsky, Roth, S., and Rother, C., “FusionFlow: Discrete-continuous optimization for optical flow estimation”, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008.
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. Rhemann, Rother, C., Rav-Acha, A., and Sharp, T., “High resolution matting via interactive trimap segmentation”, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008.
C. Rhemann, Rother, C., Rav-Acha, A., and Sharp, T., “High resolution matting via interactive trimap segmentation”, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008.
C. Rhemann, Rother, C., Rav-Acha, A., and Sharp, T., “High resolution matting via interactive trimap segmentation”, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008.
V. Lempitsky, Blake, A., and Rother, C., “Image segmentation by branch-and-mincut”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2008, vol. 5305 LNCS, pp. 15–29.
V. Lempitsky, Blake, A., and Rother, C., “Image segmentation by branch-and-mincut”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2008, vol. 5305 LNCS, pp. 15–29.
C. Rhemann, Rother, C., and Gelautz, M., “Improving color modeling for alpha matting”, in BMVC 2008 - Proceedings of the British Machine Vision Conference 2008, 2008.
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.
2007
D. Hoiem, Rother, C., and Winn, J., “3D LayoutCRF for multi-view object class recognition and segmentation”, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 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.
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.
A. Kannan, Winn, J., and Rother, C., “Clustering appearance and shape by learning jigsaws”, in Advances in Neural Information Processing Systems, 2007, pp. 657–664.
A. Kannan, Winn, J., and Rother, C., “Clustering appearance and shape by learning jigsaws”, in Advances in Neural Information Processing Systems, 2007, pp. 657–664.
A. Sellen, Fogg, A., Aitken, M., Hodges, S., Rother, C., and Wood, K., “Do life-logging technologies support memory for the past? An experimental study using sensecam”, in Conference on Human Factors in Computing Systems - Proceedings, 2007, pp. 81–90.
A. Criminisi, Blake, A., Rother, C., Shotton, J., and Torr, P. H. S., “Efficient dense stereo with occlusions for new view-synthesis by four-state dynamic programming”, International Journal of Computer Vision, vol. 71, pp. 89–110, 2007.
A. Blake, Criminisi, A., Cross, G., Kolmogorov, V., and Rother, C., “Fusion of stereo, colour and contrast”, Springer Tracts in Advanced Robotics, vol. 28, 2007.
V. Lempitsky, Rother, C., and Blake, A., “LogCut - Efficient graph cut optimization for markov random fields”, in Proceedings of the IEEE International Conference on Computer Vision, 2007.
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.
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.
C. Rother, Kolmogorov, V., Lempitsky, V., and Szummer, M., “Optimizing Binary MRFs via Extended Roof Duality Technical Report MSR-TR-2007-46”, Computing, 2007.
J. François Lalonde, Hoiem, D., Efros, A. A., Rother, C., Winn, J., and Criminisi, A., “Photo clip art”, in Proceedings of the ACM SIGGRAPH Conference on Computer Graphics, 2007.
2006
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.
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, 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.
J. Shotton, Winn, J., Rother, C., and Criminisi, A., “TextonBoost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2006, vol. 3951 LNCS, pp. 1–15.
D. S. Kirk, Sellen, A. J., Rother, C., and Wood, K. R., “Understanding photowork”, in Conference on Human Factors in Computing Systems - Proceedings, 2006, vol. 2, pp. 761–770.
2005
V. Kolmogorov, Criminisi, A., Blake, A., Cross, G., and Rother, C., “Bi-layer segmentation of binocular stereo video”, in Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, 2005, vol. II, pp. 407–414.

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