Anton Osokin

发表

Cost-Sensitive Training for Autoregressive Models pdf

Irina Saparina, Anton Osokin, A. Osokin, 2019, ArXiv.

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

Pushmeet Kohli, Anton Osokin, Dmitry P. Vetrov, 2014, EMMCVPR.

Fast approximate energy minimization with label costs

Anton Osokin, Yuri Boykov, Hossam Isack, 2010, CVPR.

Submodular Relaxation for MRFs with High-Order Potentials

Anton Osokin, Dmitry P. Vetrov, 2012, ECCV Workshops.

Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs pdf

Anton Osokin, Puneet Kumar Dokania, Jean-Baptiste Alayrac, 2016, ICML.

Deep Part-Based Generative Shape Model with Latent Variables

Anton Osokin, Alexander Kirillov, Dmitry P. Vetrov, 2016, BMVC.

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

Ivan Laptev, Anton Osokin, Tuan-Hung Vu, 2018, ArXiv.

Minimizing Sparse High-Order Energies by Submodular Vertex-Cover

Olga Veksler, Anton Osokin, Yuri Boykov, 2012, NIPS.

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

Anton Osokin, Denis Sumin, Vasily Lomakin, 2020, ECCV.

Supplementary material to the ICML 2014 paper Putting MRFs on a Tensor Train

Anton Rodomanov, Alexander Novikov, Anton Osokin, 2014 .

Context-Aware CNNs for Person Head Detection

Ivan Laptev, Anton Osokin, Tuan-Hung Vu, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

On Structured Prediction Theory with Calibrated Convex Surrogate Losses

Francis R. Bach, Anton Osokin, Simon Lacoste-Julien, 2017, NIPS.

Tensorizing Neural Networks

Alexander Novikov, Anton Osokin, Dmitry P. Vetrov, 2015, NIPS.

Submodular Relaxation for Inference in Markov Random Fields

Anton Osokin, Dmitry P. Vetrov, A. Osokin, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

An Interactive Method of Anatomical Segmentation and Gene Expression Estimation for an Experimental Mouse Brain Slice

Dmitry Kropotov, Konstantin V. Anokhin, Anton Osokin, 2010, CIBB.

Fast Approximate Energy Minimization with Label Costs

Anton Osokin, Yuri Boykov, Andrew Delong, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

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

Vladimir Kolmogorov, Anton Osokin, Dmitry P. Vetrov, 2011, CVPR 2011.

Performance and Scalability of Materials Science and Machine Learning Codes on the State-of-Art Hybrid Supercomputer Architecture

Anton Osokin, Vladimir V. Stegailov, Alexander Semenov, 2019, RuSCDays.

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

Anton Osokin, Francis Bach, Tatiana Shpakova, 2018, UAI.

How to Put Algorithms into Neural Networks

Anton Osokin, 2019, DAMDID/RCDL.

Three Simple Approaches to Combining Neural Networks with Algorithms

Anton Osokin, A. Osokin, 2019, DAMDID/RCDL.

3-D Mouse Brain Model Reconstruction from a Sequence of 2-D Slices in Application to Allen Brain Atlas

Dmitry Kropotov, Anton Osokin, Dmitry P. Vetrov, 2009, CIBB.

Modeling Spatio-Temporal Human Track Structure for Action Localization pdf

Cordelia Schmid, Ivan Laptev, Anton Osokin, 2018, ArXiv.

SEARNN: Training RNNs with Global-Local Losses pdf

Anton Osokin, Jean-Baptiste Alayrac, Rémi Leblond, 2017, ICLR.

Scaling Matters in Deep Structured-Prediction Models pdf

Anton Osokin, Aleksandr Shevchenko, A. Osokin, 2019, ArXiv.

Breaking Sticks and Ambiguities with Adaptive Skip-gram pdf

Anton Osokin, Dmitry P. Vetrov, Sergey Bartunov, 2015, AISTATS.

Putting MRFs on a Tensor Train

Anton Rodomanov, Alexander Novikov, Anton Osokin, 2014, ICML.

Perceptually Inspired Layout-Aware Losses for Image Segmentation

Pushmeet Kohli, Anton Osokin, 2014, ECCV.

GANs for Biological Image Synthesis

Federico Vaggi, Anton Osokin, Anatole Chessel, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Quantifying Learning Guarantees for Convex but Inconsistent Surrogates

Anton Osokin, Kirill Struminsky, Simon Lacoste-Julien, 2018, NeurIPS.

A Principled Deep Random Field Model for Image Segmentation

Pushmeet Kohli, Stefanie Jegelka, Anton Osokin, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

SPARQLing Database Queries from Intermediate Question Decompositions pdf

Irina Saparina, Anton Osokin, 2021, EMNLP.