IntlConf – ページ 3 – Laboratory of Content-oriented Computational Culture & Arts

Ryosuke Yamanishi, Yuki Mizoguchi, Yuji Iwahori: Construction of Attribute Dataset with SNS Mining for Generic Object Recognition, Proc. of the 25th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, pp. 1401-1410, 2021年9月

2021-09-07

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This paper proposes a framework to automatically construct an attribute dataset with images and tags on the So […]

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Ryosuke Yamanishi, Riona Mori, Mitsunori Matsushita: Representation of Characters’ Directed-relationships in Comics with Speech-roles, Proc. of the 25th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, pp.1541-1549, 2021年9月

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This paper describes a novel way to represent characters’ relationships in comics: as edges of directed […]

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Kodai Imaizumi, Ryosuke Yamanishi, Yoko Nishihara, Takahiro Ozawa: Estimating Groups of Featured Characters in Comics with Sequence of Characters’ Appearance, Proc. of the International Joint Workshop on Multimedia Artworks Analysis and Attractiveness Computing in Multimedia 2021 (in conjunction with ICMR 2021), pp. 13-18, 2021

2021-08-21

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This paper proposes a method to estimate a group of featured characters during an arbitrary period in comics. […]

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Yoko Nishihara, Xinran Lin, Ryosuke Yamanishi: Do the Number of Creators and Their Conversations Affect Re-Evaluation of a Familiar Place in Making a Tourist Map?, Proc. of The Fourteenth International Conference on Advances in Computer-Human Interactions, pp.55-56, 2021

2021-07-18

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In this paper, we analyzed the effect of the number of creators and their conversations on making a tourist ma […]

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Yoko Nishihara, Jiaxiu Ma, Ryosuke Yamanishi: A Support Interface for Remembering Events in Novels by Visualizing Time-series Information of Characters and their Existing Places, Proc. HCI International 2021, pp.76-87, 2021年7月

2021-07-01

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The style of reading books has shifted. People use electronic devices to read e-books. People often read books […]

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Junjie Shan, Yoko Nishihara, Akira Maeda, Ryosuke Yamanishi: Extraction of Question-related Sentences for Reading Comprehension Tests via Attention Mechanism, Proc. The International Conference on Technologies and Applications of Artificial Intelligence 2020, pp.A1-5, 2020年12月

2020-12-01

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Yoko Nishihara, Kohei Matsuoka, Ryosuke Yamanishi: A Method to Extract Knowledge Explanation Sentences from Conversations in Comics with Combination of Contents and Expressions, Proc. The International Conference on Technologies and Applications of Artificial Intelligence 2020, pp.A1-3, 2020年12月

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Yihong Han, Ryosuke Yamanishi, Yoko Nishihara: Music Retrieval Focusing on Lyrics with Summary of Tourist-spot Reviews Based on Shared Word-vectors, Proc. The International Conference on Technologies and Applications of Artificial Intelligence 2020, pp.A4-1, 2020年12月

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Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi, Ryosuke Yamanishi, Takahiro Fukumori, Yoichi Yamashita: RWCP-SSD-Onomatopoeia: Onomatopoeic Word Dataset for Environmental Sound Synthesis, Proc. Detection and Classification of Acoustic Scenes and Events (DCASE), pp. 125-129, 2020年9月

2020-09-01

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Masahide Kuwano, Ryosuke Yamanishi, Yoko Nishihara, and Naoko Takei: Framework of Manga Application for Teaching Japanese Language, HCI International 2020, pp. 356–367, 2020年7月

2020-07-01

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This paper proposes a framework to use Manga (i.e., Japanese comics) as the teaching materials for the Japanes […]

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