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Roman Suvorov
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2020 – today
- 2022
- [c12]Roman Suvorov, Elizaveta Logacheva, Anton Mashikhin, Anastasia Remizova, Arsenii Ashukha, Aleksei Silvestrov, Naejin Kong, Harshith Goka, Kiwoong Park, Victor Lempitsky:
Resolution-robust Large Mask Inpainting with Fourier Convolutions. WACV 2022: 3172-3182 - 2021
- [i7]Dmitry Nikulin, Roman Suvorov, Aleksei Ivakhnenko, Victor Lempitsky:
Perceptual Gradient Networks. CoRR abs/2105.01957 (2021) - [i6]Roman Suvorov, Elizaveta Logacheva, Anton Mashikhin, Anastasia Remizova, Arsenii Ashukha, Aleksei Silvestrov, Naejin Kong, Harshith Goka, Kiwoong Park, Victor Lempitsky:
Resolution-robust Large Mask Inpainting with Fourier Convolutions. CoRR abs/2109.07161 (2021) - 2020
- [c11]Elizaveta Logacheva, Roman Suvorov, Oleg Khomenko, Anton Mashikhin, Victor Lempitsky:
DeepLandscape: Adversarial Modeling of Landscape Videos. ECCV (23) 2020: 256-272 - [i5]Elizaveta Logacheva, Roman Suvorov, Oleg Khomenko, Anton Mashikhin, Victor Lempitsky:
DeepLandscape: Adversarial Modeling of Landscape Video. CoRR abs/2008.09655 (2020)
2010 – 2019
- 2018
- [c10]Pavel Ostyakov, Elizaveta Logacheva, Roman Suvorov, Vladimir Aliev, Gleb Sterkin, Oleg Khomenko, Sergey I. Nikolenko
:
Label Denoising with Large Ensembles of Heterogeneous Neural Networks. ECCV Workshops (4) 2018: 250-261 - [c9]Dmitry Devyatkin, Roman Suvorov, Ilya Tikhomirov, Yulia Otmakhova
:
Neural Networks for Food Export Gain Forecasting. IEEE Conf. on Intelligent Systems 2018: 312-317 - [c8]Amir Bakarov, Roman Suvorov, Ilya Sochenkov
:
The Limitations of Cross-language Word Embeddings Evaluation. *SEM@NAACL-HLT 2018: 94-100 - [i4]Amir Bakarov, Roman Suvorov, Ilya Sochenkov:
The Limitations of Cross-language Word Embeddings Evaluation. CoRR abs/1806.02253 (2018) - [i3]Pavel Ostyakov, Elizaveta Logacheva, Roman Suvorov, Vladimir Aliev, Gleb Sterkin, Oleg Khomenko, Sergey I. Nikolenko:
Label Denoising with Large Ensembles of Heterogeneous Neural Networks. CoRR abs/1809.04403 (2018) - [i2]Pavel Ostyakov, Roman Suvorov, Elizaveta Logacheva, Oleg Khomenko, Sergey I. Nikolenko:
SEIGAN: Towards Compositional Image Generation by Simultaneously Learning to Segment, Enhance, and Inpaint. CoRR abs/1811.07630 (2018) - [i1]Pavel Solovev, Vladimir Aliev, Pavel Ostyakov, Gleb Sterkin, Elizaveta Logacheva, Stepan Troeshestov, Roman Suvorov, Anton Mashikhin, Oleg Khomenko, Sergey I. Nikolenko:
Learning State Representations in Complex Systems with Multimodal Data. CoRR abs/1811.11067 (2018) - 2017
- [c7]Dmitry Devyatkin, Roman Suvorov, Ilya Tikhomirov, Yulia Otmakhova:
Towards Framework for Discovery of Export Growth Points. DAMDID/RCDL 2017: 142-147 - 2016
- [c6]Ilya Sochenkov
, Denis Zubarev, Ilya Tikhomirov
, Ivan V. Smirnov
, Artem Shelmanov
, Roman Suvorov, Gennady S. Osipov
:
Exactus Like: Plagiarism Detection in Scientific Texts. ECIR 2016: 837-840 - [c5]Dmitry Devyatkin
, Roman Suvorov, Ilya Tikhomirov
, Oleg G. Grigoriev
:
Feature selection techniques for scientific projects funding criteria analysis. IEEE Conf. on Intelligent Systems 2016: 167-172 - 2015
- [c4]Roman Suvorov, Ivan V. Smirnov, Konstantin Popov, Nikolay Yarygin, Konstantin Yarygin:
Assessment of the Extent of the Necessary Clinical Testing of New Biotechnological Products Based on the Analysis of Scientific Publications and Clinical Trials Reports. ICPRAM (2) 2015: 343-348 - 2014
- [c3]Roman Suvorov, Ilya Sochenkov
, Ilya Tikhomirov:
Training Datasets Collection and Evaluation of Feature Selection Methods for Web Content Filtering. AIMSA 2014: 129-138 - 2013
- [c2]Roman Suvorov, Ilya Sochenkov
, Ilya Tikhomirov
:
Method for Pornography Filtering in the WEB Based on Automatic Classification and Natural Language Processing. SPECOM 2013: 233-240 - 2012
- [c1]Roman Suvorov, Meiyappan Nagappan, Ahmed E. Hassan, Ying Zou, Bram Adams
:
An empirical study of build system migrations in practice: Case studies on KDE and the Linux kernel. ICSM 2012: 160-169
Coauthor Index
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