文献
J-GLOBAL ID:202002210319837155
整理番号:20A1124139
ビデオにおける運動動力学の教師なし学習のための敵対的フレームワーク【JST・京大機械翻訳】
Adversarial Framework for Unsupervised Learning of Motion Dynamics in Videos
著者 (6件):
Spampinato C.
(Department of Electrical, Electronic and Computer Engineering, PeRCeiVe Lab, University of Catania, Catania, Italy)
,
Spampinato C.
(Center for Research in Computer Vision, University of Central Florida, Orlando, FL, USA)
,
Palazzo S.
(Department of Electrical, Electronic and Computer Engineering, PeRCeiVe Lab, University of Catania, Catania, Italy)
,
D’Oro P.
(Department of Electrical, Electronic and Computer Engineering, PeRCeiVe Lab, University of Catania, Catania, Italy)
,
Giordano D.
(Department of Electrical, Electronic and Computer Engineering, PeRCeiVe Lab, University of Catania, Catania, Italy)
,
Shah M.
(Center for Research in Computer Vision, University of Central Florida, Orlando, FL, USA)
資料名:
International Journal of Computer Vision
(International Journal of Computer Vision)
巻:
128
号:
5
ページ:
1378-1397
発行年:
2020年
JST資料番号:
T0423A
ISSN:
0920-5691
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)