Detect what you can: Detecting and representing objects using holistic models and body parts

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

Volumn , Issue , 2014, Pages 1979-1986

  Chen, Xianjie ^a   Mottaghi, Roozbeh ^b   Liu, Xiaobai ^a   Fidler, Sanja ^c   Urtasun, Raquel ^c   Yuille, Alan ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b STANFORD UNIVERSITY   (United States)

^c UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMALS; DEFORMATION;

DEFORMABLE OBJECT; DETECTABILITY; DETECTING OBJECTS; HOLISTIC MODEL; LOW RESOLUTION; PARTIAL OCCLUSIONS; SHAPE DEFORMATION; STATE OF THE ART;

OBJECT DETECTION;

EID: 84911421600     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2014.254     Document Type: Conference Paper

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