Zobrazeno 1 - 10
of 181
pro vyhledávání: '"Takatsugu Hirayama"'
Autor:
Chihaya Matsuhira, Marc A. Kastner, Takahiro Komamizu, Takatsugu Hirayama, Keisuke Doman, Yasutomo Kawanishi, Ichiro Ide
Publikováno v:
IEEE Access, Vol 12, Pp 41299-41316 (2024)
Text-to-Image (T2I) generation is the task of synthesizing images corresponding to a given text input. The recent innovations in artificial intelligence have enhanced the capacity of conventional T2I generation, yielding more and more powerful models
Externí odkaz:
https://doaj.org/article/1ae819dd8f17465891e7e43da4164d71
Autor:
Hailong Liu1,2 liu.hailong@is.naist.jp, Takatsugu Hirayama2,3, Luis Yoichi Morales Saiki4, Hiroshi Murase2
Publikováno v:
International Journal of Human-Computer Interaction. Jun2023, Vol. 39 Issue 10, p2016-2032. 17p.
Autor:
Marc A. Kastner, Kazuki Umemura, Ichiro Ide, Yasutomo Kawanishi, Takatsugu Hirayama, Keisuke Doman, Daisuke Deguchi, Hiroshi Murase, Shin'Ichi Satoh
Publikováno v:
IEEE Access, Vol 9, Pp 162951-162961 (2021)
Image captioning can show great performance for generating captions for general purposes, but it remains difficult to adjust the generated captions for different applications. In this paper, we propose an image captioning method which can generate bo
Externí odkaz:
https://doaj.org/article/29a5e472820844d895710a1c0ea977e1
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:17130-17142
Publikováno v:
International Journal of Human–Computer Interaction. 39:2016-2032
Publikováno v:
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).
Autor:
Hirotaka Kato, Takatsugu Hirayama, Keisuke Doman, Ichiro Ide, Yasutomo Kawanishi, Takahiro Komamizu, Daisuke Deguchi, Hiroshi Murase
Publikováno v:
2022 IEEE 5th International Conference on Multimedia Information Processing and Retrieval (MIPR).
Autor:
Ichiro Ide, Daisuke Deguchi, Takatsugu Hirayama, Yasutomo Kawanishi, Hiroshi Murase, Mahmud Dwi Sulistiyo
Publikováno v:
IEEJ Transactions on Electrical and Electronic Engineering. 16:295-306
Publikováno v:
IEEE Robotics and Automation Letters. 5:4384-4391
Semantics can be leveraged in ego-vehicle localization to improve robustness and accuracy because objects with the same labels can be correctly matched with each other. Object recognition has significantly improved owing to advances in machine learni
Autor:
Daisuke Deguchi, Takatsugu Hirayama, Yasutomo Kawanishi, Hiroshi Murase, Marc A. Kastner, Frank Nack, Ichiro Ide
Publikováno v:
Multimedia Tools and Applications, 79(25-26). Springer Netherlands
Natural Language Processing and multi-modal analyses are key elements in many applications. However, the semantic gap is an everlasting problem, leading to unnatural results disconnected from the user’s perception. To understand semantics in multim