Pedestrian parsing via deep decompositional network

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2013, Pages 2648-2655

  Luo, Ping ^a,b   Wang, Xiaogang ^a   Tang, Xiaoou ^a,b  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^b SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

Author keywords

deep learning; pedestrian parsing

Indexed keywords

BAYESIAN NETWORKS; COMPLEX NETWORKS; IMAGE SEGMENTATION; INFERENCE ENGINES; SECURITY SYSTEMS; SEMANTICS; TEMPLATE MATCHING;

BACKGROUND CLUTTER; BAYESIAN INFERENCE; DEEP LEARNING; LOW-LEVEL FEATURES; PEDESTRIAN PARSING; SEGMENTATION ACCURACY; STATE-OF-THE-ART METHODS; STOCHASTIC GRADIENT DESCENT;

ESTIMATION;

EID: 84898770979     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2013.329     Document Type: Conference Paper

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