Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Nafiz Arica"'
Autor:
Duygu Cakir, Nafiz Arica
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 47, Iss , Pp 101553- (2023)
The contractions of facial muscles are what shape the expressions produced by the human face. The Facial Action Coding System (FACS) stands as the predominant standard in describing all visual alterations in the face, defining them through Action Uni
Externí odkaz:
https://doaj.org/article/7782e00540dc4f3e852018e409ed0fa6
Publikováno v:
Intelligent Systems with Applications, Vol 13, Iss , Pp 200059- (2022)
Convolutional Neural Networks (CNNs) have achieved great success in learning computer vision tasks, particularly 3D CNNs, for extracting spatio-temporal features from the given videos. However, 3D CNNs have not been well-examined for the Stereoscopic
Externí odkaz:
https://doaj.org/article/5b233a5b8ab544558577c53a9c8c68dd
Publikováno v:
Multimedia Tools and Applications. 81:42849-42869
© 2022 Elsevier B.V.This paper presents a contrastive learning-based facial action unit detection system for children with hearing impairments to be used on a socially assistive humanoid robot platform. The spontaneous facial data of children with h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e973227f93d66523e4facfe7eb04808
https://avesis.gsu.edu.tr/publication/details/10152866-519b-490c-a600-943c94ac75b2/oai
https://avesis.gsu.edu.tr/publication/details/10152866-519b-490c-a600-943c94ac75b2/oai
Publikováno v:
2022 30th Signal Processing and Communications Applications Conference (SIU).
Publikováno v:
2022 30th Signal Processing and Communications Applications Conference (SIU).
Publikováno v:
2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON).
Publikováno v:
Learning Control ISBN: 9780128223147
Although face analysis algorithms have changed over the decades, almost in every face-related algorithm it is still usually the case that the order of the problem solving algorithm is the same. The analysis task is relatively easy on frontal and clea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59575c3155e51df64d595cc47b438464
https://doi.org/10.1016/b978-0-12-822314-7.00010-9
https://doi.org/10.1016/b978-0-12-822314-7.00010-9
Autor:
Nafiz Arica, Simge Akay
In this study, we develop a deep learning-based stacking scheme to detect facial action units (AU) in video data. Given a sequence of video frames, it combines multiple cues extracted from the AU detectors employing in frame, segment, and transition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d44d7362096be64addcbb0d48581c5f
https://aperta.ulakbim.gov.tr/record/237506
https://aperta.ulakbim.gov.tr/record/237506
Autor:
Simge Akay, Basim Alghabashi, Mohamed Al Mashrgy, Nafiz Arica, Zeinab Arjmandiasl, Muhammad Azam, B. Balasingam, Jamal Bentahar, F. Biondi, Aaron Boda, Nizar Bouguila, Duygu Cakir, Mark Green, Sorin Grigorescu, Baoxin Hu, Xishi Huang, M. Khalghollah, Howard Li, C.J.B. Macnab, Narges Manouchehri, Jun Meng, Afshin Rahimi, P. Ramakrishnan, Jing Ren, Jianguo Wang, Jin Wang
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79626e32df85d4b5d107eafae2610d8b
https://doi.org/10.1016/b978-0-12-822314-7.00005-5
https://doi.org/10.1016/b978-0-12-822314-7.00005-5