3-D Mouse Brain Model Reconstruction from a Sequence of 2-D Slices in Application to Allen Brain Atlas. - Anton Osokin; Dmitry P. Vetrov; Dmitry Kropotov (CIBB, 2009)

An Interactive Method of Anatomical Segmentation and Gene Expression Estimation for an Experimental Mouse Brain Slice. - Anton Osokin; Dmitry P. Vetrov; Alexey Lebedev; Vladimir Galatenko; Dmitry Kropotov; Konstantin V. Anokhin (CIBB, 2010)

Submodular decomposition framework for inference in associative Markov networks with global constraints. - Anton Osokin; Dmitry P. Vetrov; Vladimir Kolmogorov (CVPR, 2011)

Submodular Relaxation for MRFs with High-Order Potentials. - Anton Osokin; Dmitry P. Vetrov (ECCV Workshops (3), 2012)

Minimizing Sparse High-Order Energies by Submodular Vertex-Cover. - Andrew Delong; Olga Veksler; Anton Osokin; Yuri Boykov (NIPS, 2012)

Fast Approximate Energy Minimization with Label Costs. - Andrew Delong; Anton Osokin; Hossam N. Isack; Yuri Boykov (Int. J. Comput. Vis., 2012)

A Principled Deep Random Field Model for Image Segmentation. - Pushmeet Kohli; Anton Osokin; Stefanie Jegelka (CVPR, 2013)

Perceptually Inspired Layout-Aware Losses for Image Segmentation. - Anton Osokin; Pushmeet Kohli (ECCV (2), 2014)

Multi-utility Learning: Structured-Output Learning with Multiple Annotation-Specific Loss Functions. - Roman Shapovalov; Dmitry P. Vetrov; Anton Osokin; Pushmeet Kohli (EMMCVPR, 2014)

Putting MRFs on a Tensor Train. - Alexander Novikov 001; Anton Rodomanov; Anton Osokin; Dmitry P. Vetrov (ICML, 2014)

Context-Aware CNNs for Person Head Detection. - Tuan-Hung Vu; Anton Osokin; Ivan Laptev (ICCV, 2015)

Tensorizing Neural Networks. - Alexander Novikov 001; Dmitry Podoprikhin; Anton Osokin; Dmitry P. Vetrov (NIPS, 2015)

Submodular Relaxation for Inference in Markov Random Fields. - Anton Osokin; Dmitry P. Vetrov (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Breaking Sticks and Ambiguities with Adaptive Skip-gram. - Sergey Bartunov; Dmitry Kondrashkin; Anton Osokin; Dmitry P. Vetrov (AISTATS, 2016)

Deep Part-Based Generative Shape Model with Latent Variables. - Alexander Kirillov; Mikhail Gavrikov; Ekaterina Lobacheva; Anton Osokin; Dmitry P. Vetrov (BMVC, 2016)

Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs. - Anton Osokin; Jean-Baptiste Alayrac; Isabella Lukasewitz; Puneet Kumar Dokania; Simon Lacoste-Julien (ICML, 2016)

GANs for Biological Image Synthesis. - Anton Osokin; Anatole Chessel; Rafael Edgardo Carazo-Salas; Federico Vaggi (ICCV, 2017)

On Structured Prediction Theory with Calibrated Convex Surrogate Losses. - Anton Osokin; Francis R. Bach; Simon Lacoste-Julien (NIPS, 2017)

SEARNN: Training RNNs with global-local losses. - Rémi Leblond; Jean-Baptiste Alayrac; Anton Osokin; Simon Lacoste-Julien (ICLR (Poster), 2018)

Quantifying Learning Guarantees for Convex but Inconsistent Surrogates. - Kirill Struminsky; Simon Lacoste-Julien; Anton Osokin (NeurIPS, 2018)

Marginal Weighted Maximum Log-likelihood for Efficient Learning of Perturb-and-Map models. - Tatiana Shpakova; Francis R. Bach; Anton Osokin (UAI, 2018)

Modeling Spatio-Temporal Human Track Structure for Action Localization. - Guilhem Chéron; Anton Osokin; Ivan Laptev; Cordelia Schmid (CoRR, 2018)

Tube-CNN: Modeling temporal evolution of appearance for object detection in video. - Tuan-Hung Vu; Anton Osokin; Ivan Laptev (CoRR, 2018)

How to Put Algorithms into Neural Networks. - Anton Osokin (DAMDID/RCDL, 2019)

Three Simple Approaches to Combining Neural Networks with Algorithms. - Anton Osokin (DAMDID/RCDL (Selected Papers), 2019)

Performance and Scalability of Materials Science and Machine Learning Codes on the State-of-Art Hybrid Supercomputer Architecture. - Nikolay Kondratyuk; Grigory S. Smirnov; Alexander Agarkov; Anton Osokin; Vsevolod P. Nikolskiy; Alexander Semenov; Vladimir V. Stegailov (RuSCDays, 2019)

Scaling Matters in Deep Structured-Prediction Models. - Aleksandr Shevchenko; Anton Osokin (CoRR, 2019)

Cost-Sensitive Training for Autoregressive Models. - Irina Saparina; Anton Osokin (CoRR, 2019)

OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features. - Anton Osokin; Denis Sumin; Vasily Lomakin (ECCV (15), 2020)

SPARQLing Database Queries from Intermediate Question Decompositions. - Irina Saparina; Anton Osokin (EMNLP (1), 2021)

Searching for Better Database Queries in the Outputs of Semantic Parsers. - Anton Osokin; Irina Saparina; Ramil Yarullin (EACL (Findings), 2023)