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Mikhail Erofeev
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Cited by
Year
Perceptually Motivated Benchmark for Video Matting
M Erofeev, Y Gitman, D Vatolin, A Fedorov, J Wang
British Machine Vision Conference (BMVC), 2015
562015
Semiautomatic visual-attention modeling and its application to video compression
Y Gitman, M Erofeev, D Vatolin, B Andrey, F Alexey
2014 IEEE International Conference on Image Processing (ICIP), 1105-1109, 2014
442014
A semiautomatic saliency model and its application to video compression
V Lyudvichenko, M Erofeev, Y Gitman, D Vatolin
2017 13th IEEE International Conference on Intelligent Computer …, 2017
322017
Automatic detection of artifacts in converted S3D video
A Bokov, D Vatolin, A Zachesov, A Belous, M Erofeev
IS&T/SPIE Electronic Imaging, 901112-901112-14, 2014
222014
Improving video compression with deep visual-attention models
V Lyudvichenko, M Erofeev, A Ploshkin, D Vatolin
Proceedings of the 2019 International Conference on Intelligent Medicine and …, 2019
172019
Trends in S3D-Movie Quality Evaluated on 105 Films Using 10 Metrics
D Vatolin, A Bokov, M Erofeev, V Napadovsky
Electronic Imaging 2016 (5), 1-10, 2016
142016
Automatic logo removal for semitransparent and animated logos
E Mikhail, D Vatolin
Proceedings of GraphiCon 2011, 26-30, 2011
12*2011
Perceptually Motivated Method for Image Inpainting Comparison
I Molodetskikh, M Erofeev, D Vatolin
arXiv preprint arXiv:1907.06296, 2019
82019
Использование карт глубины при восстановлении фона в видеопоследовательностях
А Зачесов, М Ерофеев, Д Ватолин
Новые информационные технологии в автоматизированных системах, 31-41, 2015
82015
Многослойное решение проблемы полупрозрачных границ при построении стереоскопических изображений
МВ Ерофеев, ДС Ватолин
International Journal of Open Information Technologies 4 (8), 1-8, 2016
62016
Toward fully automatic channel-mismatch detection and discomfort prediction for S3D video
A Bokov, S Lavrushkin, M Erofeev, D Vatolin, A Fedorov
2016 International Conference on 3D Imaging (IC3D), 1-7, 2016
42016
Toward an objective stereo-video quality metric: Depth perception of textured areas
M Erofeev, D Vatolin, A Voronov, A Fedorov
2012 International Conference on 3D Imaging (IC3D), 1-6, 2012
42012
Testing methods for 3d content viewing devices
D Vatolin, M Erofeev, A Zachesov, D Sumin, D Akimov, A Fedorov
Sixth International Workshop on Video Processing and Quality Metrics for …, 2012
42012
Temporally coherent person matting trained on fake-motion dataset
I Molodetskikh, M Erofeev, A Moskalenko, D Vatolin
Digital Signal Processing 126, 103521, 2022
32022
Multilayer semitransparent-edge processing for depth-image-based rendering
M Erofeev, D Vatolin
2016 International Conference on 3D Imaging (IC3D), 1-7, 2016
32016
Deep Two-Stage High-Resolution Image Inpainting
A Moskalenko, M Erofeev, D Vatolin
arXiv preprint arXiv:2104.13464, 2021
22021
FAST OCCLUSION FILLING METHOD FOR MULTIVIEW VIDEO GENERATION
A Khatiullin, M Erofeev, D Vatolin
2018-3DTV-Conference: The True Vision-Capture, Transmission and Display of …, 2018
22018
Матирование видеопоследовательностей с использованием восстановленного фона
МВ Ерофеев, ДС Ватолин
Цифровая обработка сигналов, 19-25, 2016
22016
Fairness meets machine learning: searching for a better balance
E Semenova, E Perevoshchikova, A Ivanov, M Erofeev
HSE Working papers, 2019
12019
Toward an objective benchmark for video completion
A Bokov, D Vatolin, M Erofeev, Y Gitman
Signal, Image and Video Processing, 1-8, 2018
12018
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