Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Zhiquang Qin"'
Autor:
Ariyo Oluwasanmi, Muhammad Umar Aftab, Akeem Shokanbi, Jehoiada Jackson, Bulbula Kumeda, Zhiquang Qin
Publikováno v:
IEEE Access, Vol 8, Pp 31733-31741 (2020)
Generative Adversarial Network has proven to produce state-of-the-art results by framing a generative modeling task into a supervised learning problem. In this paper, we propose Attentively Conditioned Generative Adversarial Network (ACGAN) for seman
Externí odkaz:
https://doaj.org/article/f95edfafee8a456087dc90291a05443a
Autor:
Ariyo Oluwasanmi, Muhammad Umar Aftab, Eatedal Alabdulkreem, Bulbula Kumeda, Edward Y. Baagyere, Zhiquang Qin
Publikováno v:
IEEE Access, Vol 7, Pp 106773-106783 (2019)
Several deep learning techniques have been intensively reviewed for captioning tasks, enabling the possibility of textual understanding, and description of both simple and complex images. In advancing this knowledge, this paper proposes a multimodal
Externí odkaz:
https://doaj.org/article/fbd21ff7d4254b6ea31f86c2c94cb9e3
Autor:
Zhiquang Qin, Bulbula Kumeda, Ariyo Oluwasanmi, Edward Yellakuor Baagyere, Eatedal Alabdulkreem, Muhammad Umar Aftab
Publikováno v:
IEEE Access, Vol 7, Pp 106773-106783 (2019)
Several deep learning techniques have been intensively reviewed for captioning tasks, enabling the possibility of textual understanding, and description of both simple and complex images. In advancing this knowledge, this paper proposes a multimodal
Publikováno v:
IIH-MSP
In a designated verifier proxy scheme, a user delegates his signing capability to another user in such a way that the latter can sign messages on behalf of the former, but the validity of generated signatures can only be checked by the designated ver