We have won MVE Best Paper Award (for the presentation in Sep., 2017).
News
- MOVIE MAP
- FOOD LOG
Track and analyze your daily food choices with our Food Log project!
- MANGA PROJECT
- LECTURES
Links for lectures.
- IEEE Student Branch
MVE Best Paper Award
2017年10月18日
NIKKEI Big Data vol. Oct. 2017
2017年10月13日
IEICE SIG on Attractiveness Computing has been introduced in NIKKEI Big Data vol. Oct. 2017 (p. 27)
Nikkei Book: Overview of AI/IoT/Big Data 2017-2018
2017年9月7日
Our research activity on the prediction system of time-to-pregnancy that was introduced in NIKKEI BigData in Feb., 2017
has been also included in the following book.
This is a collaboration with FamiOne, Inc.
Nikkei Book: Overview of AI/IoT/Big Data 2017-2018 (AI・IoT・ビッグデータ総覧2017-2018) Eds. NIKKEI BigData
http://business.nikkeibp.co.jp/bigdata/Bds/book_5956/
has been also included in the following book.
This is a collaboration with FamiOne, Inc.
Nikkei Book: Overview of AI/IoT/Big Data 2017-2018 (AI・IoT・ビッグデータ総覧2017-2018) Eds. NIKKEI BigData
http://business.nikkeibp.co.jp/bigdata/Bds/book_5956/
Press release and news/articles
2017年8月29日
- Press release by JST (Aug/01/2017)
AI Generates More "Attractive" Hash Tags
Tag Recommendation for Enhancing Social Popularity in Content Sharing Services
http://www.jst.go.jp/pr/info/info1269/index_e.html
- Paper@IJCAI
(Full paper) T. Yamasaki, J. Hu, S. Sano, and K. Aizawa, “FolkPopularityRank: Predicting and Enhancing Social Popularity using Text Tags in Social Networks,” Proc. of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17), pp. 3231-3237, Melbourne, Australia, Aug. 19-25, 2017.
(Demo) T. Yamasaki, Y. Zhang, J. Hu, S. Sano, and K. Aizawa, “Become Popular in SNS: Tag Recommendation using FolkPopularityRank to Enhance Social Popularity,” Proc. of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17), demo, pp. 5252-5253, Melbourne, Australia, Aug. 19-25, 2017.
- TV News (Aug/03/2017)
https://www.houdoukyoku.jp/archives/0009/chapters/29027
- Asahi Shimbun online (Aug/04/2017)
http://digital.asahi.com/articles/ASK823Q35K82ULBJ004.html
- Kuma-nichi (Aug/15/2017)
https://this.kiji.is/269996321396424709?c=92619697908483575
- Asahi Shimbun (Aug/28/2017)
http://digital.asahi.com/articles/DA3S13107052.html?rm=150
AI Generates More "Attractive" Hash Tags
Tag Recommendation for Enhancing Social Popularity in Content Sharing Services
http://www.jst.go.jp/pr/info/info1269/index_e.html
- Paper@IJCAI
(Full paper) T. Yamasaki, J. Hu, S. Sano, and K. Aizawa, “FolkPopularityRank: Predicting and Enhancing Social Popularity using Text Tags in Social Networks,” Proc. of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17), pp. 3231-3237, Melbourne, Australia, Aug. 19-25, 2017.
(Demo) T. Yamasaki, Y. Zhang, J. Hu, S. Sano, and K. Aizawa, “Become Popular in SNS: Tag Recommendation using FolkPopularityRank to Enhance Social Popularity,” Proc. of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17), demo, pp. 5252-5253, Melbourne, Australia, Aug. 19-25, 2017.
- TV News (Aug/03/2017)
https://www.houdoukyoku.jp/archives/0009/chapters/29027
- Asahi Shimbun online (Aug/04/2017)
http://digital.asahi.com/articles/ASK823Q35K82ULBJ004.html
- Kuma-nichi (Aug/15/2017)
https://this.kiji.is/269996321396424709?c=92619697908483575
- Asahi Shimbun (Aug/28/2017)
http://digital.asahi.com/articles/DA3S13107052.html?rm=150
NIKKEI
2017年7月25日
Asso. Prof. Yamasaki's comments on AI have been introduced on the first page of NIKKEI News Paper.
UTokyo Teatime Hackathon2017 Grand Prize
2017年7月12日
Ms. Yiwei Zhang in JASA-CG team won the Grand Prize at UTokyo Teatime Hackathon2017.
https://twitter.com/t_t_hackathon
https://twitter.com/t_t_hackathon
AI Challenge Classification 1st, Detection 2nd place, Chairman's Award
2017年5月19日
The graduate student team of our laboratory (Ikami, Takeki, Inoue, Ogawa) won 1st and 2nd place in Food Calssification and Food Region Detection tasks, respectively, in AI Challenge Competition sponsered by Artificial Intelligence Technology Strategy Meeting, Cabinet Office, and MEXT.