Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Komei Sugiura"'
Publikováno v:
IEEE Access, Vol 12, Pp 86553-86571 (2024)
Deep reinforcement learning (DRL) can learn an agent’s optimal behavior from the experience it gains through interacting with its environment. However, since the decision-making process of DRL agents is a black-box, it is difficult for users to und
Externí odkaz:
https://doaj.org/article/a0acec4c95a94ddc964cdfde2001b234
Publikováno v:
IEEE Access, Vol 11, Pp 55706-55715 (2023)
Visual understanding, such as image caption generation, has received extensive attention. Describing images with textual information is one way to help people achieve barrier-free visibility. This study focuses on the text-based image captioning (Tex
Externí odkaz:
https://doaj.org/article/3fc497154ec44cebb8894109694f1fa9
Autor:
Shintaro Ishikawa, Komei Sugiura
Publikováno v:
IEEE Access, Vol 11, Pp 24527-24534 (2023)
Within the museum community, the automatic generation of artwork description is expected to accelerate the improvement of accessibility for visually impaired visitors. Captions that describe artworks should be based on emotions because art is insepar
Externí odkaz:
https://doaj.org/article/ae34156a6d344293b38a6373d865a550
Publikováno v:
Earth, Planets and Space, Vol 73, Iss 1, Pp 1-12 (2021)
Abstract We developed an operational solar flare prediction model using deep neural networks, named Deep Flare Net (DeFN). DeFN can issue probabilistic forecasts of solar flares in two categories, such as ≥ M-class and
Externí odkaz:
https://doaj.org/article/23a58159863c497abae79d5e5901301f
Publikováno v:
IEEE Access, Vol 9, Pp 160521-160532 (2021)
Text-guided image manipulation tasks have recently gained attention in the vision-and-language community. While most of the prior studies focused on single-turn manipulation, our goal in this paper is to address the more challenging multi-turn image
Externí odkaz:
https://doaj.org/article/902b53a891e244218fca5ab31598299b
Autor:
Tsumugi Iida, Takumi Komatsu, Kanta Kaneda, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura
Publikováno v:
Computer Vision – ACCV 2022 ISBN: 9783031262838
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::466e73aa8c71690351b7c0dfc66c3532
https://doi.org/10.1007/978-3-031-26284-5_29
https://doi.org/10.1007/978-3-031-26284-5_29
Autor:
Motonari Kambara, Komei Sugiura
Publikováno v:
IEEE Robotics and Automation Letters. 6:8371-8378
There have been many studies in robotics to improve the communication skills of domestic service robots. Most studies, however, have not fully benefited from recent advances in deep neural networks because the training datasets are not large enough.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4264b96ab63344b0289ffbb7b68aca9
https://doi.org/10.1109/lra.2021.3107026
https://doi.org/10.1109/lra.2021.3107026
Publikováno v:
IEEE Access, Vol 9, Pp 160521-160532 (2021)
Text-guided image manipulation tasks have recently gained attention in the vision-and-language community. While most of the prior studies focused on single-turn manipulation, our goal in this paper is to address the more challenging multi-turn image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ddfa2cfbbdecbd88e771fddd476068f
https://doi.org/10.1109/access.2021.3129215
https://doi.org/10.1109/access.2021.3129215
Autor:
Tomoya Matsubara, Seitaro Otsuki, Yuiga Wada, Haruka Matsuo, Takumi Komatsu, Yui Iioka, Komei Sugiura, Hideo Saito
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d65c1eb63c8f8abb488299155651cd0
https://doi.org/10.1109/icassp43922.2022.9747110
https://doi.org/10.1109/icassp43922.2022.9747110
Autor:
Komei Sugiura, Aly Magassouba, Hironobu Fujiyoshi, Tadashi Ogura, Tsubasa Hirakawa, Takayoshi Yamashita, Hisashi Kawai
Publikováno v:
IEEE Robotics and Automation Letters. 5:5945-5952
Domestic service robots (DSRs) are a promising solution to the shortage of home care workers. However, one of the main limitations of DSRs is their inability to interact naturally through language. Recently, data-driven approaches have been shown to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::287a8861029ac346c800e4fe73056980
https://doi.org/10.1109/lra.2020.3010735
https://doi.org/10.1109/lra.2020.3010735