Zobrazeno 1 - 10
of 726
pro vyhledávání: '"Ryumin, A."'
This paper presents the results of the SUN team for the Compound Expressions Recognition Challenge of the 6th ABAW Competition. We propose a novel audio-visual method for compound expression recognition. Our method relies on emotion recognition model
Externí odkaz:
http://arxiv.org/abs/2403.12687
Autor:
Denis V. Ivanko, Dmitry A. Ryumin
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 24, Iss 5, Pp 669-686 (2024)
A review of modern methods and technologies for automatic machine translation for the deaf and hard of hearing is presented, including recognition and synthesis of both spoken and sign languages. These methods aim to facilitate effective communicat
Externí odkaz:
https://doaj.org/article/4a5381e1f4dd42c7b68f30426d74f8d4
Autor:
Alexandra Alexandrovna Arkhipenko, Galina Evgenievna Marina, Mikhail Alexandrovich Ryumin, Marina Sergeevna Doronina, Natalia Alexandrovna Korotkova, Tatiana Dmitrievna Ksenofontova, Vasilisa Borisovna Baranovskaya
Publikováno v:
Analytica, Vol 5, Iss 3, Pp 343-357 (2024)
This work describes a two-stage technique of X-ray fluorescence (XRF) analysis of rare earth niobates. A comparison between the two approaches revealed that the Fundamental Parameters Method (FPM) can be employed for a rapid preliminary assessment of
Externí odkaz:
https://doaj.org/article/422c9926fdb14f16b6ed2c4521e16ea3
Autor:
Ryumin, Dmitry, Axyonov, Alexandr, Ryumina, Elena, Ivanko, Denis, Kashevnik, Alexey, Karpov, Alexey
Publikováno v:
In Expert Systems With Applications 15 October 2024 252 Part A
Publikováno v:
In Pattern Recognition Letters September 2024 185:45-51
Publikováno v:
In Expert Systems With Applications 1 April 2024 239
Publikováno v:
RUDN Journal of Public Administration, Vol 10, Iss 2, Pp 299-307 (2023)
The authors analyze the question of the origin of Russian statehood in ancient times. The main goal of the research is to study economic and social state of Russia at the beginning of the VIth century. The authors conduct a detailed analysis of the N
Externí odkaz:
https://doaj.org/article/38daa71f96be43a9a9c0f604f93a0e8c
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 23, Iss 4, Pp 767-775 (2023)
Visual speech recognition or automated lip-reading systems actively apply to speech-to-text translation. Video data proves to be useful in multimodal speech recognition systems, particularly when using acoustic data is difficult or not available at
Externí odkaz:
https://doaj.org/article/66375603e608485f93cbe94a01929e68
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-2-W3-2023, Pp 89-94 (2023)
Automatic audio-visual speech recognition systems (AVSRs) have recently achieved tremendous success, especially in limited vocabulary tasks by far surpassing human abilities to recognize speech, especially in acoustically noisy conditions. Automatic
Externí odkaz:
https://doaj.org/article/9d9280e829d94da5976a2ab80a82af4e
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-2-W3-2023, Pp 209-216 (2023)
Automatic sign gesture recognition (GR) plays a critical role in facilitating communication between hearing-impaired individuals and the rest of society. However, recognizing sign gestures accurately and efficiently remains a challenging task due to
Externí odkaz:
https://doaj.org/article/db1563d0d63a4952b23bd5a917a16c76