文献
J-GLOBAL ID:202002224853174659
整理番号:20A2526303
CoTeRe-Net:ビデオにおける協調的3値関係の発見【JST・京大機械翻訳】
CoTeRe-Net: Discovering Collaborative Ternary Relations in Videos
著者 (9件):
Shi Zhensheng
(Underwater Vision Lab, Ocean University of China, Qingdao, China)
,
Guan Cheng
(Underwater Vision Lab, Ocean University of China, Qingdao, China)
,
Cao Liangjie
(Underwater Vision Lab, Ocean University of China, Qingdao, China)
,
Li Qianqian
(Underwater Vision Lab, Ocean University of China, Qingdao, China)
,
Liang Ju
(Underwater Vision Lab, Ocean University of China, Qingdao, China)
,
Gu Zhaorui
(Underwater Vision Lab, Ocean University of China, Qingdao, China)
,
Zheng Haiyong
(Underwater Vision Lab, Ocean University of China, Qingdao, China)
,
Zheng Bing
(Underwater Vision Lab, Ocean University of China, Qingdao, China)
,
Zheng Bing
(Sanya Oceanographic Institution, Ocean University of China, Sanya, China)
資料名:
Lecture Notes in Computer Science
(Lecture Notes in Computer Science)
巻:
12351
ページ:
379-396
発行年:
2020年
JST資料番号:
H0078D
ISSN:
0302-9743
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)