I am a postdoc at INRIA working with the WILLOW project-team which is part of the Computer Science Department of École Normale Supérieure in Paris.

I did both my undergrad and PhD studies in Moscow, Russia at the Lomonosov Moscow State University (MSU), department of Computational Mathematics and Cybernetics (CMC). At MSU, I worked with Bayesian Methods research group under supervision of Dmitry Vetrov. Between 2012 and 2014, I was an assistant at the department of mathematical methods of prediction and taught several courses to undergrad students. I also gave seminars at Yandex School of Data Analysis. In 2014, I successfully defended my PhD thesis and departed to France to work with Simon Lacoste-Julien and Francis Bach as a member of the SIERRA project-team (machine learning). In 2016, I moved next door to the WILLOW project-team (computer vision) to work with Ivan Laptev.

Selected publications

Journal papers

Submodular relaxation for inference in Markov random fields
Anton Osokin and Dmitry Vetrov
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 37(7): 1347-1359, 2015
Fast Approximate Energy Minimization with Label Costs
Andrew Delong*, Anton Osokin*, Hossam Isack, Yuri Boykov
*equal contribution
International Journal of Computer Vision (IJCV), 96(1):1-27, 2012

Conference papers

GANs for Biological Image Synthesis
Anton Osokin, Anatole Chessel, Rafael E. Carazo Salas and Federico Vaggi
In proceedings of the International Conference on Computer Vision (ICCV), 2017
Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs
Anton Osokin*, Jean-Baptiste Alayrac*, Isabella Lukasewitz, Puneet K. Dokania, and Simon Lacoste-Julien
*equal contribution
In proceedings of the International Conference on Machine Learning (ICML), 2016
Breaking Sticks and Ambiguities with Adaptive Skip-gram
Sergey Bartunov, Dmitry Kondrashkin, Anton Osokin, and Dmitry Vetrov
In proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS), 2016
Context-aware CNNs for person head detection
Tuan-Hung Vu, Anton Osokin, and Ivan Laptev
In proceedings of the International Conference on Computer Vision (ICCV), 2015
Tensorizing Neural Networks
Alexander Novikov, Dmitry Podoprikhin, Anton Osokin, and Dmitry Vetrov
Advances in Neural Information Processing Systems (NIPS), 2015
Perceptually Inspired Layout-aware Losses for Image Segmentation
Anton Osokin and Pushmeet Kohli
In proceedings of the European Conference on Computer Vision (ECCV), 2014
Putting MRFs on a Tensor Train
Alexander Novikov, Anton Rodomanov, Anton Osokin, and Dmitry Vetrov
In proceedings of the International Conference on Machine Learning (ICML), 2014
A Principled Deep Random Field Model for Image Segmentation
Pushmeet Kohli, Anton Osokin, and Stefanie Jegelka
In proceedings of the Computer Vision and Pattern Recognition (CVPR), 2013
Minimizing Sparse High-Order Energies by Submodular Vertex-Cover
Andrew Delong, Olga Veksler, Anton Osokin, and Yuri Boykov
Advances in Neural Information Processing Systems (NIPS), 2012
Submodular Decomposition Framework for Inference in Associative Markov Networks with Global Constraints
Anton Osokin, Dmitry Vetrov, and Vladimir Kolmogorov
In proceedings of the Computer Vision and Pattern Recognition (CVPR), 2011
Fast Approximate Energy Minimization with Label Costs
Andrew Delong*, Anton Osokin*, Hossam Isack, and Yuri Boykov
*equal contribution
In proceedings of the Computer Vision and Pattern Recognition (CVPR), 2010

PhD thesis

Submodular relaxation for energy minimization in Markov random fields
Anton Osokin
Lomonosov Moscow State University. 2014. In Russian