Anton Osokin

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 27

Top Topics

Database Queries

Markov Random Field

Latent Variables

Image Segmentation

Top Venues

Publications

Anton Osokin, Irina Saparina, Ramil Yarullin
Searching for Better Database Queries in the Outputs of Semantic Parsers. EACL (Findings) (2023)
Anton Osokin, Irina Saparina, Ramil Yarullin
Searching for Better Database Queries in the Outputs of Semantic Parsers. CoRR (2022)
Irina Saparina, Anton Osokin
SPARQLing Database Queries from Intermediate Question Decompositions. EMNLP (1) (2021)
Irina Saparina, Anton Osokin
SPARQLing Database Queries from Intermediate Question Decompositions. CoRR (2021)
Anton Osokin, Denis Sumin, Vasily Lomakin
OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features. ECCV (15) (2020)
Anton Osokin, Denis Sumin, Vasily Lomakin
OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features. CoRR (2020)
Nikolay Kondratyuk, Grigory S. Smirnov, Alexander Agarkov, Anton Osokin, Vsevolod P. Nikolskiy, Alexander Semenov, Vladimir V. Stegailov
Performance and Scalability of Materials Science and Machine Learning Codes on the State-of-Art Hybrid Supercomputer Architecture. RuSCDays (2019)
Irina Saparina, Anton Osokin
Cost-Sensitive Training for Autoregressive Models. CoRR (2019)
Aleksandr Shevchenko, Anton Osokin
Scaling Matters in Deep Structured-Prediction Models. CoRR (2019)
Anton Osokin
How to Put Algorithms into Neural Networks. DAMDID/RCDL (2019)
Anton Osokin
Three Simple Approaches to Combining Neural Networks with Algorithms. DAMDID/RCDL (Selected Papers) (2019)
Kirill Struminsky, Simon Lacoste-Julien, Anton Osokin
Quantifying Learning Guarantees for Convex but Inconsistent Surrogates. CoRR (2018)
Tuan-Hung Vu, Anton Osokin, Ivan Laptev
Tube-CNN: Modeling temporal evolution of appearance for object detection in video. CoRR (2018)
Guilhem Chéron, Anton Osokin, Ivan Laptev, Cordelia Schmid
Modeling Spatio-Temporal Human Track Structure for Action Localization. CoRR (2018)
Kirill Struminsky, Simon Lacoste-Julien, Anton Osokin
Quantifying Learning Guarantees for Convex but Inconsistent Surrogates. NeurIPS (2018)
Rémi Leblond, Jean-Baptiste Alayrac, Anton Osokin, Simon Lacoste-Julien
SEARNN: Training RNNs with global-local losses. ICLR (Poster) (2018)
Tatiana Shpakova, Francis R. Bach, Anton Osokin
Marginal Weighted Maximum Log-likelihood for Efficient Learning of Perturb-and-Map models. CoRR (2018)
Tatiana Shpakova, Francis R. Bach, Anton Osokin
Marginal Weighted Maximum Log-likelihood for Efficient Learning of Perturb-and-Map models. UAI (2018)
Anton Osokin, Francis R. Bach, Simon Lacoste-Julien
On Structured Prediction Theory with Calibrated Convex Surrogate Losses. NIPS (2017)
Anton Osokin, Anatole Chessel, Rafael Edgardo Carazo-Salas, Federico Vaggi
GANs for Biological Image Synthesis. CoRR (2017)
Anton Osokin, Francis R. Bach, Simon Lacoste-Julien
On Structured Prediction Theory with Calibrated Convex Surrogate Losses. CoRR (2017)
Anton Osokin, Anatole Chessel, Rafael Edgardo Carazo-Salas, Federico Vaggi
GANs for Biological Image Synthesis. ICCV (2017)
Rémi Leblond, Jean-Baptiste Alayrac, Anton Osokin, Simon Lacoste-Julien
SEARNN: Training RNNs with Global-Local Losses. CoRR (2017)
Sergey Bartunov, Dmitry Kondrashkin, Anton Osokin, Dmitry P. Vetrov
Breaking Sticks and Ambiguities with Adaptive Skip-gram. AISTATS (2016)
Anton Osokin, Jean-Baptiste Alayrac, Isabella Lukasewitz, Puneet Kumar Dokania, Simon Lacoste-Julien
Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs. CoRR (2016)
Anton Osokin, Jean-Baptiste Alayrac, Isabella Lukasewitz, Puneet Kumar Dokania, Simon Lacoste-Julien
Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs. ICML (2016)
Alexander Kirillov, Mikhail Gavrikov, Ekaterina Lobacheva, Anton Osokin, Dmitry P. Vetrov
Deep Part-Based Generative Shape Model with Latent Variables. BMVC (2016)
Tuan-Hung Vu, Anton Osokin, Ivan Laptev
Context-aware CNNs for person head detection. CoRR (2015)
Alexander Novikov, Dmitry Podoprikhin, Anton Osokin, Dmitry P. Vetrov
Tensorizing Neural Networks. NIPS (2015)
Tuan-Hung Vu, Anton Osokin, Ivan Laptev
Context-Aware CNNs for Person Head Detection. ICCV (2015)
Anton Osokin, Dmitry P. Vetrov
Submodular relaxation for inference in Markov random fields. CoRR (2015)
Anton Osokin, Dmitry P. Vetrov
Submodular Relaxation for Inference in Markov Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. 37 (7) (2015)
Alexander Novikov, Dmitry Podoprikhin, Anton Osokin, Dmitry P. Vetrov
Tensorizing Neural Networks. CoRR (2015)
Sergey Bartunov, Dmitry Kondrashkin, Anton Osokin, Dmitry P. Vetrov
Breaking Sticks and Ambiguities with Adaptive Skip-gram. CoRR (2015)
Alexander Novikov, Anton Rodomanov, Anton Osokin, Dmitry P. Vetrov
Putting MRFs on a Tensor Train. ICML (2014)
Roman Shapovalov, Dmitry P. Vetrov, Anton Osokin, Pushmeet Kohli
Multi-utility Learning: Structured-output Learning with Multiple Annotation-specific Loss Functions. CoRR (2014)
Roman Shapovalov, Dmitry P. Vetrov, Anton Osokin, Pushmeet Kohli
Multi-utility Learning: Structured-Output Learning with Multiple Annotation-Specific Loss Functions. EMMCVPR (2014)
Anton Osokin, Pushmeet Kohli
Perceptually Inspired Layout-Aware Losses for Image Segmentation. ECCV (2) (2014)
Pushmeet Kohli, Anton Osokin, Stefanie Jegelka
A Principled Deep Random Field Model for Image Segmentation. CVPR (2013)
Andrew Delong, Olga Veksler, Anton Osokin, Yuri Boykov
Minimizing Sparse High-Order Energies by Submodular Vertex-Cover. NIPS (2012)
Andrew Delong, Anton Osokin, Hossam N. Isack, Yuri Boykov
Fast Approximate Energy Minimization with Label Costs. Int. J. Comput. Vis. 96 (1) (2012)
Anton Osokin, Dmitry P. Vetrov
Submodular Relaxation for MRFs with High-Order Potentials. ECCV Workshops (3) (2012)
Anton Osokin, Dmitry P. Vetrov, Vladimir Kolmogorov
Submodular decomposition framework for inference in associative Markov networks with global constraints. CVPR (2011)
Anton Osokin, Dmitry P. Vetrov, Vladimir Kolmogorov
Submodular Decomposition Framework for Inference in Associative Markov Networks with Global Constraints CoRR (2011)
Anton Osokin, Dmitry P. Vetrov, Alexey Lebedev, Vladimir Galatenko, Dmitry Kropotov, Konstantin V. Anokhin
An Interactive Method of Anatomical Segmentation and Gene Expression Estimation for an Experimental Mouse Brain Slice. CIBB (2010)
Andrew Delong, Anton Osokin, Hossam N. Isack, Yuri Boykov
Fast approximate energy minimization with label costs. CVPR (2010)
Anton Osokin, Dmitry P. Vetrov, Dmitry Kropotov
3-D Mouse Brain Model Reconstruction from a Sequence of 2-D Slices in Application to Allen Brain Atlas. CIBB (2009)