no code implementations • CVPR 2022 • Shoichiro Takeda, Kenta Niwa, Mariko Isogawa, Shinya Shimizu, Kazuki Okami, Yushi Aono
Eulerian video magnification (EVM) has progressed to magnify subtle motions with a target frequency even under the presence of large motions of objects.
no code implementations • LREC 2020 • Takashi Kodama, Ryuichiro Higashinaka, Koh Mitsuda, Ryo Masumura, Yushi Aono, Ryuta Nakamura, Noritake Adachi, Hidetoshi Kawabata
This paper concerns the problem of realizing consistent personalities in neural conversational modeling by using user generated question-answer pairs as training data.
no code implementations • EMNLP 2018 • Ryo Masumura, Yusuke Shinohara, Ryuichiro Higashinaka, Yushi Aono
This is achieved by introducing both language-specific networks shared among different tasks and task-specific networks shared among different languages.
no code implementations • COLING 2018 • Ryo Masumura, Tomohiro Tanaka, Ryuichiro Higashinaka, Hirokazu Masataki, Yushi Aono
In addition, in order to effectively transfer knowledge between different task data sets and different language data sets, this paper proposes a partially-shared modeling method that possesses both shared components and components specific to individual data sets.
no code implementations • WS 2018 • Ryo Masumura, Tomohiro Tanaka, Atsushi Ando, Ryo Ishii, Ryuichiro Higashinaka, Yushi Aono
This paper proposes a fully neural network based dialogue-context online end-of-turn detection method that can utilize long-range interactive information extracted from both speaker{'}s utterances and collocutor{'}s utterances.