Anton Osokin

2017²

• Chapter Osokin A., Chessel A., Carazo Salas R. E., Vaggi F. GANs for Biological Image Synthesis, in: Proceedings of the IEEE International Conference on Computer Vision (ICCV 2017). Venice : IEEE, 2017. P. 2252-2261.
• Chapter Osokin A., Bach F., Lacoste-Julien S. On Structured Prediction Theory with Calibrated Convex Surrogate Losses, in: Advances in Neural Information Processing Systems 30 (NIPS 2017). Montreal : Curran Associates, 2017. P. 1-12.

2016²

• Chapter Bartunov S., Kondrashkin D., Osokin A., Vetrov D. Breaking Sticks and Ambiguities with Adaptive Skip-gram, in: Proceedings of Machine Learning Research. Proceedings of The International Conference on Artificial Intelligence and Statistics (AISTATS 2016) Vol. 51. Cadiz : , 2016. P. 130-138.
• Chapter Osokin A., Lukasewitz I., Dokania P., Alayrac J., Lacoste-Julien S. Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs, in: Proceedings of Machine Learning Research. Proceedings of the International Conference on Machine Learning (ICML 2016) Vol. 48. NY : , 2016. P. 593-602.

2015³

• Chapter Vu T., Osokin A., Laptev I. Context-Aware CNNs for Person Head Detection, in: Proceedings of the IEEE International Conference on Computer Vision (ICCV 2015). Santiago de Chile : IEEE, 2015. P. 2893-2901. doi
• Article Osokin A., Vetrov D. Submodular Relaxation for Inference in Markov Random Fields // IEEE Transactions on Pattern Analysis and Machine Intelligence. 2015. Vol. 37. No. 7. P. 1347-1359.
• Chapter Novikov A., Podoprikhin D., Osokin A., Vetrov D. Tensorizing Neural Networks, in: Advances in Neural Information Processing Systems 28 (NIPS 2015). NY : Curran Associates, 2015.

2014²

• Chapter Osokin A., Kohli P. Perceptually Inspired Layout-Aware Losses for Image Segmentation, in: Lecture Notes in Computer Science. Proceedings of the 13th European Conference on Computer Vision (ECCV 2014) Vol. 8690. Part 2. Zürich : Springer, 2014. P. 663-678. doi
• Chapter Vetrov D., Osokin A., Novikov A., Rodomanov A. Putting MRFs on a Tensor Train, in: JMLR Workshop and Conference Proceedings Issue 32: Proceedings of The 31st International Conference on Machine Learning. Beijing : Microtome Publishing, 2014. P. 811-819.

2013¹

2012²

• Article Delong A., Osokin A., Isack H. N., Boykov Y. Fast Approximate Energy Minimization with Label Costs // International Journal of Computer Vision. 2012. Vol. 96. No. 1. P. 1-27. doi
• Chapter Delong A., Veksler O., Osokin A., Boykov Y. Minimizing sparse high-order energies by submodular vertex-cover, in: Advances in Neural Information Processing Systems 26 (NIPS 2012). Lake Tahoe : Curran Associates, Inc., 2012.

2011¹

2010¹