Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Yoshitaka Ushiku"'
Publikováno v:
IEEE Access, Vol 12, Pp 113372-113383 (2024)
Telecommunications technology has evolved rapidly, creating opportunities to diversify the communication culture through AI mediation. We anticipate that people will interchangeably use both user-controlled (controlled by transferring user movements)
Externí odkaz:
https://doaj.org/article/38be9a642491498b9b93183e07d64aa8
Autor:
Naoya Chiba, Yuta Suzuki, Tatsunori Taniai, Ryo Igarashi, Yoshitaka Ushiku, Kotaro Saito, Kanta Ono
Publikováno v:
Communications Materials, Vol 4, Iss 1, Pp 1-12 (2023)
Abstract Representing crystal structures of materials to facilitate determining them via neural networks is crucial for enabling machine-learning applications involving crystal structure estimation. Among these applications, the inverse design of mat
Externí odkaz:
https://doaj.org/article/1fe5f14d5dbc4e04a92595c0f707c13b
Publikováno v:
Frontiers in Psychology, Vol 14 (2023)
In this paper, we present the findings of a study investigating the impact of shape on the taste perception of chocolate. Previous research has explored the influence of various sensory information on taste perception, but there has been little focus
Externí odkaz:
https://doaj.org/article/465695ca4bf84e18b35f77291618dcca
Autor:
Mutsuki Nakahara, Mai Nishimura, Yoshitaka Ushiku, Takayuki Nishio, Kazuki Maruta, Yu Nakayama, Daisuke Hisano
Publikováno v:
IEEE Access, Vol 10, Pp 91253-91262 (2022)
Deep learning-based image recognition systems have rapidly evolved. Due to the extensive processing load of the deep neural network (DNN) on graphic processing units (GPUs), the DNN model is deployed on the cloud server. Images or videos are forwarde
Externí odkaz:
https://doaj.org/article/bb0680dbc3d642718d71f1bd40105df3
Autor:
Taichi Nishimura, Atsushi Hashimoto, Yoshitaka Ushiku, Hirotaka Kameko, Yoko Yamakata, Shinsuke Mori
Publikováno v:
IEEE Access, Vol 9, Pp 2125-2141 (2021)
It is an important activity for our society to create new value by combining materials. From daily cooking to manufacturing for industry, we often describe the way to do it as a procedural text. As pointed by some previous studies for natural languag
Externí odkaz:
https://doaj.org/article/14cc64f163d14b049126181eb601638b
Publikováno v:
IEEE Access, Vol 9, Pp 94644-94655 (2021)
Hand segmentation is a crucial task in first-person vision. Since first-person images exhibit strong bias in appearance among different environments, adapting a pre-trained segmentation model to a new domain is required in hand segmentation. Here, we
Externí odkaz:
https://doaj.org/article/1bfdeca53edc4a5784c5d8b26a95bd61
Publikováno v:
ACM Multimedia
Video procedural captioning (VPC), which generates procedural text from instructional videos, is an essential task for scene understanding and real-world applications. The main challenge of VPC is to describe how to manipulate materials accurately. T
Autor:
Yusaku Nakajima, Masashi Hamaya, Yuta Suzuki, Takafumi Hawai, Felix von Drigalski, Kazutoshi Tanaka, Yoshitaka Ushiku, Kanta Ono
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Autor:
Shinsuke Mori, Yoshitaka Ushiku, Yoko Yamakata, Atsushi Hashimoto, Taichi Nishimura, Hirotaka Kameko
Publikováno v:
IEEE Access, Vol 9, Pp 2125-2141 (2021)
It is an important activity for our society to create new value by combining materials. From daily cooking to manufacturing for industry, we often describe the way to do it as a procedural text. As pointed by some previous studies for natural languag