Book Chapters
- A Comparative Study of Energy Minimization Methods for MRFs
1. R. Szeliski, R. Zabih, D. Scharstein, O. Veksler, V. Kolmogorov, A. Agarwala, M. Tappen, C. Rother in
Advances in Markov Random Fields for Vision and Image Processing, edited by
A. Blake, P. Kohli and C. Rother, MIT Press, 2010.
- Optimizing Multi-Label MRFs by Move Making Algorithms
Yuri Boykov, Olga Veksler, Ramin Zabih in
Advances in Markov Random Fields for Vision and Image Processing, edited by
A. Blake, P. Kohli and C. Rother, MIT Press, 2010.
- Convex and Truncated Convex Priors for Multi-label MRFs
Hiroshi Ishikawa and Olga Veksler, in
Advances in Markov Random Fields for Vision and Image Processing, edited by
A. Blake, P. Kohli and C. Rother, MIT Press, 2010.
- Graph Cuts in Vision and Graphics: Theories and Applications
Yuri Boykov and Olga Veksler,
Handbook of Mathematical Models in Computer Vision, edited by
Nikos Paragios, Yunmei Chen and Olivier Faugeras. Springer, 2006.
Journals
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Order Preserving Moves for Graph Cut based Optimization
Xiaoqing Liu, Olga Veksler, Jagath Samarabandu,
IEEE transactions on PAMI, to appear.
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Semiautomatic segmentation with compact shape prior
Piali Das, Olga Veksler, Vyacheslav Zavadsky, Yuri Boykov Image and Vision Computing 27(1-2): 206-219 (2009)
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A comparative study of energy minimization methods for Markov random fields with smoothness-based priors.
R. Szeliski, R. Zabih, D. Scharstein, O. Veksler, V. Kolmogorov, A. Agarwala, M. Tappen, and C. Rother. IEEE
transactions on PAMI, vol. 30, no. 6, p. 1068-1080, June 2008.
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Stereo Correspondence with Compact Windows via Minimum Ratio Cycle
Olga Veksler, IEEE
transactions on PAMI, vol. 24, No. 12, December 2002, pp. 1654-1660.
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Dense Features for Semi-Dense Stereo Correspondence
Olga Veksler, International Journal of Computer Vision, vol. 47, No. 1-3, April-June 2002, pp. 247-260. .
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Efficient Approximate Energy Minimization via Graph Cuts
Yuri Boykov, Olga Veksler, Ramin Zabih, IEEE
transactions on PAMI, vol. 20, no. 12, p. 1222-1239, November 2001.
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A
Variable Window Approach to Early Vision
Yuri Boykov, Olga Veksler, Ramin Zabih,
IEEE transactions on PAMI, Vol.20, No.12, p.1283-1295, December 1998
Conferences
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Tiered Scene Labeling with Dynamic Programming
Pedro F. Felzenszwalb, Olga Veksler, IEEE Computer Vision and Pattern Recognition, June 2010 (CVPR'10).
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Animated Classic Mosaics from Video
Yu Liu, Olga Veksler 5th International Symposium on Advances in Visual Computing (ISVC'09), II: 1085-1096.
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Multi-label Moves for MRFs with Truncated Convex Priors
Olga Veksler The 7th International Conference on
Energy Minimization Methods in Computer Vision and Pattern Recognition, August 2009 (EMMCVPR'09): 1-8.
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Star Shape Prior for Graph-Cut Image Segmentation
O. Veksler European Conference on Computer Vision 2008, (ECCV'08)
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Parameter Selection for Graph Cut Based Image Segmentation
Bo Peng, Olga Veksler British Machine Vision conference 2008 (BMVC'08)
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Graph Cut with Ordering Constraints on Labels and its Applications
Xiaoqing Liu, Olga Veksler, Jagath Samarabandu IEEE Computer Vision and Pattern Recognition, June 2008 (CVPR'08).
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Simulating Classic Mosaics with Graph Cuts
Yu Liu, Olga Veksler, Olivier Juan The 6th International Conference on
Energy Minimization Methods in Computer Vision and Pattern Recognition, August 2007 (EMMCVPR'07), pp. 55-70
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Graph Cut Based Optimization for MRFs with Truncated Convex Priors
Olga Veksler, IEEE Computer Vision and Pattern Recognition, June 2007 (CVPR'07).
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Reducing Search Space for Stereo Correspondence with Graph Cuts
Olga Veksler, British Machine Vision conference September 2006 (BMVC'06),
vol. II, pp. 709-718
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Semiautomatic Segmentation with Compact Shape Prior
P. Das, O. Veksler, V. Zavadsky, Y. Boykov , Canadian Conference on Computer and Robot Vision, June 2006, pp. 26-38, (CRV'06)
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Semiautomatic Segmentation of Transistor Gates in Integrated Chips
P. Das, O. Veksler, V. Zavadsky, Y. Boykov , Workshop on Applications of Computer Vision, in Conjunction with 9th European Conference on Computer Vision, May 2006
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A Comparative Study of Energy Minimization Methods for Markov Random Fields
R. Szeliski, R.Zabih, D. Scharstein, O. Veksler, V. Kolmogorov, A. Agarwala, M. Tappen, C. Rother, European Conference on Computer Vision (ECCV'06),vol. II, pp. 16-29, May 2006
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Stereo Correspondence by Dynamic Programming on a Tree
Olga Veksler, IEEE Computer Vision and Pattern Recognition, June 2005 (CVPR'05)
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Fast Variable Window for Stereo
Correspondence using Integral Images
Olga Veksler, IEEE Computer Vision and Pattern Recognition, June 2003 (CVPR'03)
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Extracting Dense Features for
Visual Correspondence with Graph Cuts
Olga Veksler, IEEE Computer Vision and Pattern Recognition, June 2003 (CVPR'03)
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Semi-dense Stereo Correspondence with Dense Features
Olga Veksler, IEEE Computer Vision and Pattern Recognition, December 2001 (CVPR'01),
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Stereo Matching by Compact Windows via Minimum Ratio Cycle
Olga Veksler, IEEE International Conference on Computer Vision, July 2001 (ICCV'01), I:pp.540-547.
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Image Segmentation by Nested Cuts
Olga Veksler, IEEE Computer Vision and Pattern Recognition, June 2000 (CVPR'00),
p.339-344 .
Fast Approximate Energy Minimization via Graph Cuts
Yuri Boykov, Olga Veksler, Ramin Zabih, IEEE International Conference on Computer Vision, September 1999 (ICCV'99), p.377-384 .
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Approximate Energy Minimization with Discontinuities
Yuri Boykov, Olga Veksler, Ramin Zabih, IEEE International Workshop on Energy Minimization Methods in Computer Vision, July 1999 (EMMCVPR'99), p.205-220 .
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Markov Random Fields with Efficient Approximations
Yuri Boykov, Olga Veksler, Ramin Zabih. In IEEE
Computer Vision and Pattern Recognition, June 1998 (CVPR'98), p.648-655
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Disparity
Component Matching for Visual Correspondence
Yuri Boykov, Olga Veksler, Ramin Zabih, IEEE Computer Vision and Pattern Recognition, June 1997 (CVPR'97) p. 470-475.
PhD Thesis
Efficient Graph-Based Energy Minimization Methods in Computer Vision