Yuri Boykov yura@cs.cornell.edu

I am a post-doctoral research associate at the department of Computer Science at Cornell University. My research is concentrated in the area of computer vision. I mostly work on early vision and feature-based object recognition. My colleagues are Dan Huttenlocher, Olga Veksler, Ramin Zabih, and other members of Computer Vision Group at Cornell. You can find more details about my interests in computer vision and my background from the following links: Research Statement Resume (.ps or plain text file) Image Gallery

Papers	- click on the title for abstracts

• Fast Approximate Energy Minimization via Graph Cuts.
  Yuri Boykov, Olga Veksler, Ramin Zabih.
  In International Conference on Computer Vision (ICCV), 1999, to appear.
• A Bayesian Framework for Model Based Tracking.
  Yuri Boykov and Dan Huttenlocher. Technical Report ncstrl.cornell/TR99-1762, 1999.
• Energy Minimization with Discontinuities.
  Yuri Boykov, Olga Veksler, Ramin Zabih.
  Submitted to International Journal on Computer Vision, (1999).
• A New Bayesian Framework for Object Recognition.
  Yuri Boykov and Dan Huttenlocher.
  In IEEE conference on Computer Vision and Pattern Recognition, (CVPR), 1999.
• Efficient Restoration of Multicolor Images with Independent Noise.
  Yuri Boykov, Olga Veksler, Ramin Zabih. Technical Report ncstrl.cornell/TR98-1712, 1998.
• Markov Random Fields with Efficient Approximations.
  Yuri Boykov, Olga Veksler, Ramin Zabih.
  In IEEE conference on Computer Vision and Pattern Recognition (CVPR), 1998.

  Head Image Our Result Normalized Correlation

  The main idea of this paper is to reduce stereo vision to a multiway cut problem on a certain graph. You can compare the output of our algorithm with a correlation based method. The "Head Image" is obtained from the Computer Vision Lab at the University of Tsukuba (Japan). You can find more data in the stereo vision section of the image gallery. You may also access my power point presentation (.ppt file) for CVPR'98.

• A Variable Window Approach to Early Vision.
  Yuri Boykov, Olga Veksler, Ramin Zabih.
  In IEEE transactions on Pattern Analysis and Machine Intelligence ( PAMI), vol 20, no 12, pp. 1283-1294, 1998.
• Disparity Component Matching for Visual Correspondence.
  Yuri Boykov, Olga Veksler, Ramin Zabih.
  In IEEE conference on Computer Vision and Pattern Recognition (CVPR), 1997.
• Coherence of an Inference is Equivalent to Existence of a Countably Additive Prior.
  Yuri Boykov. Submitted to Annals of Statistics, (1997)
• Analytic Approximation of Some Exotic Options.
  Yuri Boykov, Peter Carr. Research paper, 1996.
• Stochastic Dynamic Programming in the Optimal Pursuit Problem.
  Yuri Boykov. In Discrete and Numerical Methods of Signal Processing (Journal of MIPT), 1992.
• See also CS Technical Reports.