Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Andrei Oleinik"'
Autor:
Pavel Karataev, Andrei Oleinik, Kirill Fedorov, Artemiy Klenin, Alexander Kubankin, Alexander Shchagin
Publikováno v:
Applied Physics Express. 15:066001
This paper describes indicators that can be used to monitor the operating mode of a pyroelectric accelerator. It is shown that the ratio of the characteristic X-ray emission lines from the target and the vacuum chamber walls is very sensitive to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23546435eb7f8c483dfe6d35ec9dcc74
https://doi.org/10.35848/1882-0786/ac6b82
https://doi.org/10.35848/1882-0786/ac6b82
Autor:
Aleksandr Lavrentev, Evgeny Smirnov, Elizaveta Shulga, Andrei Oleinik, Aleksandr Melnikov, Vasiliy Galyuk, Nikita Garaev, Margarita Zakuanova
Publikováno v:
ICCV Workshops
Mini-batch construction strategy is an important part of the deep representation learning. Different strategies have their advantages and limitations. Usually only one of them is selected to create mini-batches for training. However, in many cases th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16bcd69c8c41bd8a2dd5d81283f6d9c0
https://doi.org/10.1109/iccvw.2019.00068
https://doi.org/10.1109/iccvw.2019.00068
Autor:
Andrei Oleinik, Ilya Kalinovskiy, Aleksandr Melnikov, Evgeny Smirnov, Eugene Luckyanets, Elizaveta Ivanova
Publikováno v:
CVPR Workshops
Hard example mining is an important part of the deep embedding learning. Most methods perform it at the mini-batch level. However, in the large-scale settings there is only a small chance that proper examples will appear in the same mini-batch and wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8efc5b3627403cc92343a0ede35161f9
https://doi.org/10.1109/cvprw.2018.00013
https://doi.org/10.1109/cvprw.2018.00013
Autor:
Georgy Kukharev, Andrei Oleinik
Publikováno v:
Computer Vision and Graphics ISBN: 9783319464176
ICCVG
ICCVG
The problem of the automatic recognition and processing of face photos and sketches is of significant importance for law enforcement applications. A photo-sketch transformation is a convenient way to reduce dissimilarities between a face sketch and a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35071239db9888b0dbc20cf53dc60552
https://doi.org/10.1007/978-3-319-46418-3_29
https://doi.org/10.1007/978-3-319-46418-3_29
Autor:
Andrei Oleinik
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319415000
ICIAR
ICIAR
This paper deals with the problem of multiple face tracking for video surveillance systems. Although a considerable number of object tracking approaches have been developed, the video surveillance scenario allows additional assumptions on the tracker
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33044ab1bd5473d5b51e28b2e65114e1
https://doi.org/10.1007/978-3-319-41501-7_46
https://doi.org/10.1007/978-3-319-41501-7_46