Computer Vision and Graph Algorithms

Vladimir Kolmogorov mainly focuses on developing efficient algorithms for inference in graphical models. Such algorithms have applications in many areas, e.g. computer vision, computer graphics, machine learning, and bioinformatics. Some of the inference techniques developed by Kolmogorov are widely used in the computer vision community, e.g. a maximum flow algorithm and the sequential tree-reweighted message passing algorithm (TRW-S). His other research interests include combinatorial optimization problems such as the min cost perfect matching problem, and some theoretical aspects of discrete optimization.

Contact
Vladimir Kolmogorov
Institute of Science and Technology Austria (IST Austria)
Am Campus 1
A – 3400 Klosterneuburg

Tel.: +43 (0)2243 9000-4801
E-mail: vladimir.kolmogorov@remove-this.ist.ac.at

CV

Vladimir Kolmogorov's website

Assistant
Christine Krebs

Tel.: +43 (0)2243 9000-1071
E-mail: christine.krebs@ist.ac.at

Team

  • Rustem Takhanov, Postdoc

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