Generating sentence from motion by using large-scale and high-order N-grams. - Yusuke Goutsu; Wataru Takano; Yoshihiko Nakamura (IROS, 2013)

Motion Recognition Employing Multiple Kernel Learning of Fisher Vectors Using Local Skeleton Features. - Yusuke Goutsu; Wataru Takano; Yoshihiko Nakamura (ICCV Workshops, 2015)

Gesture recognition using hybrid generative-discriminative approach with Fisher Vector. - Yusuke Goutsu; Wataru Takano; Yoshihiko Nakamura (ICRA, 2015)

Region-Object Relevance-Guided Visual Relationship Detection. - Yusuke Goutsu (BMVC, 2018)

Classification of Multi-class Daily Human Motion using Discriminative Body Parts and Sentence Descriptions. - Yusuke Goutsu; Wataru Takano; Yoshihiko Nakamura (Int. J. Comput. Vis., 2018)

Linguistic Descriptions of Human Motion with Generative Adversarial Seq2Seq Learning. - Yusuke Goutsu; Tetsunari Inamura (ICRA, 2021)

Precise Affordance Annotation for Egocentric Action Video Datasets. - Zecheng Yu; Yifei Huang 002; Ryosuke Furuta; Takuma Yagi; Yusuke Goutsu; Yoichi Sato 001 (CoRR, 2022)

Instant Difficulty Adjustment: Predicting Success Rate of VR Kendama when Changing the Difficulty Level. - Yusuke Goutsu; Tetsunari Inamura (AHs, 2023)

Fine-grained Affordance Annotation for Egocentric Hand-Object Interaction Videos. - Zecheng Yu; Yifei Huang 002; Ryosuke Furuta; Takuma Yagi; Yusuke Goutsu; Yoichi Sato 001 (WACV, 2023)

Instant Difficulty Adjustment using User Skill Model Based on GPDM in VR Kendama Task. - Yusuke Goutsu; Tetsunari Inamura (AIxVR, 2024)

Effectiveness of Adaptive Difficulty Settings on Self-efficacy in VR Exercise. - Yusuke Goutsu; Tetsunari Inamura (VRST, 2024)