Watching unlabeled video helps learn new human actions from very few labeled snapshots

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2013, Pages 572-579

  Chen, Chao Yeh ^a   Grauman, Kristen ^a  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HUMAN ACTIONS; HUMAN ACTIVITIES; MANIFOLD-BASED METHOD; STATE-OF-THE-ART TECHNIQUES; STATIC IMAGES; TRAINING EXAMPLE; TRAINING PROCESS; TRAINING SETS;

COMPUTER SCIENCE; ELECTRICAL ENGINEERING; SOFTWARE ENGINEERING;

PATTERN RECOGNITION;

EID: 84887369458     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.80     Document Type: Conference Paper

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