no code implementations • 17 Mar 2022 • Shintaro Yamamoto, Hirokatsu Kataoka, Ryota Suzuki, Seitaro Shinagawa, Shigeo Morishima
To alleviate this problem, we organized a group of non-native English speakers to write summaries of papers presented at a computer vision conference to share the knowledge of the papers read by the group.
2 code implementations • ICCV 2021 • Yue Qiu, Shintaro Yamamoto, Kodai Nakashima, Ryota Suzuki, Kenji Iwata, Hirokatsu Kataoka, Yutaka Satoh
Change captioning tasks aim to detect changes in image pairs observed before and after a scene change and generate a natural language description of the changes.
2 code implementations • 12 Feb 2019 • Ryota Suzuki, Ryusuke Takahama, Shun Onoda
Obtaining continuous representations of structural data such as directed acyclic graphs (DAGs) has gained attention in machine learning and artificial intelligence.
no code implementations • 16 Nov 2018 • Shintaro Yamamoto, Yoshihiro Fukuhara, Ryota Suzuki, Shigeo Morishima, Hirokatsu Kataoka
Due to the recent boom in artificial intelligence (AI) research, including computer vision (CV), it has become impossible for researchers in these fields to keep up with the exponentially increasing number of manuscripts.
no code implementations • 11 Sep 2018 • Ryota Suzuki, Shingo Takahashi, Murtuza Petladwala, Shigeru Kohmoto
Latent feature models (LFM)s are widely employed for extracting latent structures of data.