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pro vyhledávání: '"Alexey D. Egorov"'
Autor:
Alexey D. Egorov, Timofey A. Korzhebin
Publikováno v:
2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus).
Several studies have already made a comparison of either Data Augmentation methods or Transfer learning strategies in Convolution Deep Neural Networks for Image Classification; however, comparison of combinations of Data Augmentation methods and Tran
Autor:
Artem A. Pokroy, Alexey D. Egorov
Publikováno v:
2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus).
Rapid advances in media generation techniques have made the creation of AI-generated fake face videos more accessible than ever before. In order to accelerate the development of new ways to expose forged videos, Facebook created Deep Fake Detection C
Autor:
Mark Kornachuk, Alexey D. Egorov
Publikováno v:
2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus).
Object tracking in video stream can be used in many ways such as face recognition in photos, creating deepfake videos, augmented reality. A significant part of the object tracking algorithms implemented work less accurately and more slowly than they
Publikováno v:
2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).
The paper deals with the Viola-Jones method in relation to the problem of finding faces in an image. The main element of the algorithm is a cascade on which the accuracy, completeness and operation time depends. In the majority of solved problems, it
Publikováno v:
SITIS
This article deals with facial detection and tracking algorithm development. The most efficient method for facial monitoring, namely, template matching technique, was found by considering different tracking techniques. The authors enumerate main draw