no code implementations • EMNLP 2020 • Hisashi Kamezawa, Noriki Nishida, Nobuyuki Shimizu, Takashi Miyazaki, Hideki Nakayama
The results demonstrate that first-person vision helps neural network models correctly understand human intentions, and the production of non-verbal responses is a challenging task like that of verbal responses.
no code implementations • ACL 2022 • Hisashi Kamezawa, Noriki Nishida, Nobuyuki Shimizu, Takashi Miyazaki, Hideki Nakayama
A release note is a technical document that describes the latest changes to a software product and is crucial in open source software development.
no code implementations • NAACL (ACL) 2022 • Yi-Pei Chen, Nobuyuki Shimizu, Takashi Miyazaki, Hideki Nakayama
This paper explores how humans conduct conversations with images by investigating an open-domain image conversation dataset, ImageChat.
1 code implementation • 4 Dec 2023 • Keito Kudo, Haruki Nagasawa, Jun Suzuki, Nobuyuki Shimizu
This paper proposes a practical multimodal video summarization task setting and a dataset to train and evaluate the task.
1 code implementation • 26 Jun 2023 • Haruka Kiyohara, Masatoshi Uehara, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto, Yuta Saito
We show that the resulting estimator, which we call Adaptive IPS (AIPS), can be unbiased under any complex user behavior.
2 code implementations • 3 Feb 2022 • Haruka Kiyohara, Yuta Saito, Tatsuya Matsuhiro, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto
We show that the proposed estimator is unbiased in more cases compared to existing estimators that make stronger assumptions.
no code implementations • 12 Sep 2018 • Thao Minh Le, Nobuyuki Shimizu, Takashi Miyazaki, Koichi Shinoda
With the widespread use of intelligent systems, such as smart speakers, addressee recognition has become a concern in human-computer interaction, as more and more people expect such systems to understand complicated social scenes, including those outdoors, in cafeterias, and hospitals.
no code implementations • COLING 2018 • Nobuyuki Shimizu, Na Rong, Takashi Miyazaki
The proposed method is based on a popular VQA method that uses an attention mechanism.
no code implementations • ACL 2018 • Toru Shimizu, Nobuyuki Shimizu, Hayato Kobayashi
Recent studies showed that pretraining with unlabeled data via a language model can improve the performance of classification models.
no code implementations • 8 Mar 2018 • Heishiro Kanagawa, Hayato Kobayashi, Nobuyuki Shimizu, Yukihiro Tagami, Taiji Suzuki
The behavior of users in certain services could be a clue that can be used to infer their preferences and may be used to make recommendations for other services they have never used.
no code implementations • NeurIPS 2016 • Taiji Suzuki, Heishiro Kanagawa, Hayato Kobayashi, Nobuyuki Shimizu, Yukihiro Tagami
We investigate the statistical performance and computational efficiency of the alternating minimization procedure for nonparametric tensor learning.