Anton Osokin

According to our database, Anton Osokin authored at least 31 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Searching for Better Database Queries in the Outputs of Semantic Parsers.

Anton Osokin, Irina Saparina, Ramil Yarullin

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2021

SPARQLing Database Queries from Intermediate Question Decompositions.

Irina Saparina, Anton Osokin

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features.

Anton Osokin, Denis Sumin, Vasily Lomakin

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Cost-Sensitive Training for Autoregressive Models.

Irina Saparina, Anton Osokin

CoRR, 2019

Scaling Matters in Deep Structured-Prediction Models.

Aleksandr Shevchenko, Anton Osokin

CoRR, 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

Proceedings of the Supercomputing, 2019

Three Simple Approaches to Combining Neural Networks with Algorithms.

Anton Osokin

Proceedings of the Data Analytics and Management in Data Intensive Domains, 2019

How to Put Algorithms into Neural Networks.

Anton Osokin

Proceedings of the Selected Papers of the XXI International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2019), 2019

2018

Tube-CNN: Modeling temporal evolution of appearance for object detection in video.

Tuan-Hung Vu, Anton Osokin, Ivan Laptev

CoRR, 2018

Modeling Spatio-Temporal Human Track Structure for Action Localization.

Guilhem Chéron, Anton Osokin, Ivan Laptev, Cordelia Schmid

CoRR, 2018

Marginal Weighted Maximum Log-likelihood for Efficient Learning of Perturb-and-Map models.

Tatiana Shpakova, Francis R. Bach, Anton Osokin

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Quantifying Learning Guarantees for Convex but Inconsistent Surrogates.

Kirill Struminsky, Simon Lacoste-Julien, Anton Osokin

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

SEARNN: Training RNNs with global-local losses.

Rémi Leblond, Jean-Baptiste Alayrac, Anton Osokin, Simon Lacoste-Julien

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

On Structured Prediction Theory with Calibrated Convex Surrogate Losses.

Anton Osokin, Francis R. Bach, Simon Lacoste-Julien

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

GANs for Biological Image Synthesis.

Anton Osokin, Anatole Chessel, Rafael Edgardo Carazo-Salas, Federico Vaggi

Proceedings of the IEEE International Conference on Computer Vision, 2017

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

Proceedings of the 33nd International Conference on Machine Learning, 2016

Deep Part-Based Generative Shape Model with Latent Variables.

Alexander Kirillov, Mikhail Gavrikov, Ekaterina Lobacheva, Anton Osokin, Dmitry P. Vetrov

Proceedings of the British Machine Vision Conference 2016, 2016

Breaking Sticks and Ambiguities with Adaptive Skip-gram.

Sergey Bartunov, Dmitry Kondrashkin, Anton Osokin, Dmitry P. Vetrov

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Submodular Relaxation for Inference in Markov Random Fields.

Anton Osokin, Dmitry P. Vetrov

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Tensorizing Neural Networks.

Alexander Novikov, Dmitry Podoprikhin, Anton Osokin, Dmitry P. Vetrov

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Context-Aware CNNs for Person Head Detection.

Tuan-Hung Vu, Anton Osokin, Ivan Laptev

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Putting MRFs on a Tensor Train.

Alexander Novikov, Anton Rodomanov, Anton Osokin, Dmitry P. Vetrov

Proceedings of the 31th International Conference on Machine Learning, 2014

Multi-utility Learning: Structured-Output Learning with Multiple Annotation-Specific Loss Functions.

Roman Shapovalov, Dmitry P. Vetrov, Anton Osokin, Pushmeet Kohli

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2014

Perceptually Inspired Layout-Aware Losses for Image Segmentation.

Anton Osokin, Pushmeet Kohli

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

A Principled Deep Random Field Model for Image Segmentation.

Pushmeet Kohli, Anton Osokin, Stefanie Jegelka

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Fast Approximate Energy Minimization with Label Costs.

Andrew Delong, Anton Osokin, Hossam N. Isack, Yuri Boykov

Int. J. Comput. Vis., 2012

Minimizing Sparse High-Order Energies by Submodular Vertex-Cover.

Andrew Delong, Olga Veksler, Anton Osokin, Yuri Boykov

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Submodular Relaxation for MRFs with High-Order Potentials.

Anton Osokin, Dmitry P. Vetrov

Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

2011

Submodular decomposition framework for inference in associative Markov networks with global constraints.

Anton Osokin, Dmitry P. Vetrov, Vladimir Kolmogorov

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

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

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2010

2009

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

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2009