Anton Osokin

PhD student in the department of Computational Mathematics and Cybernetics at the Moscow State University
Advisor: Dmitry Vetrov
E-mail: osokin -at- bayesgroup.ru

Research interests

  • Machine learning
  • Graphical models
  • Computer vision
  • Optimization

Selected publications

  • Pushmeet Kohli, Anton Osokin, and Stefanie Jegelka. A Principled Deep Random Field Model for Image Segmentation. In Computer Vision and Pattern Recognition (CVPR), 2013. pdf, supplementary, code
  • Andrew Delong, Olga Veksler, Anton Osokin, and Yuri Boykov. Minimizing Sparse High-Order Energies by Submodular Vertex-Cover. Advances in Neural Information Processing Systems (NIPS), 2012. pdf
  • Anton Osokin, Dmitry Vetrov. Submodular Relaxation for MRFs with High-Order Potentials. HiPot: ECCV 2012 Workshop on Higher-Order Models and Global Constraints in Computer Vision, 2012. pdf + supplementary
  • Andrew Delong, Anton Osokin, Hossam Isack, and Yuri Boykov. Fast Approximate Energy Minimization with Label Costs, International Journal of Computer Vision (IJCV), 96(1):1–27, January 2012. pdf, code
  • Dmitry Vetrov, Anton Osokin. Graph Preserving Label Decomposition in Discrete MRFs with Selfish Potentials. Proceedings of International Workshop on Discrete Optimization in Machine learning (DISCML NIPS), December 2011. pdf
  • Anton Osokin, Dmitry Vetrov, and Vladimir Kolmogorov. Submodular Decomposition Framework for Inference in Associative Markov Networks with Global Constraints,
    In Computer Vision and Pattern Recognition (CVPR), June 2011. pdf
  • Andrew Delong, Anton Osokin, Hossam Isack, and Yuri Boykov. Fast Approximate Energy Minimization with Label Costs,
    In Computer Vision and Pattern Recognition (CVPR), June 2010. pdf, code

Code

Teaching