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    ESANN
    2006
    129views Neural Networks» more  ESANN 2006»
    Iterative context compilation for visual object recognition
    13 years 6 months ago
    Iterative context compilation for visual object recognition
    Download  www.dice.ucl.ac.be
    This contribution describes an almost parameterless iterative context compilation method, which produces feature layers, that are especially suited for mixed bottom-up top-down ass...
    Jens Teichert, Rainer Malaka
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    CVPR
    2010
    IEEE
    541views Computer Vision» more  CVPR 2010»
    Modeling Mutual Context of Object and Human Pose in Human-Object Interaction Activities
    14 years 1 months ago
    Modeling Mutual Context of Object and Human Pose in Human-Object Interaction Activities
    Download  vision.stanford.edu
    Detecting objects in cluttered scenes and estimating articulated human body parts are two challenging problems in computer vision. The difficulty is particularly pronounced in ac...
    Bangpeng Yao, Li Fei-Fei
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    PAMI
    2012
    319views Software Engineering» more  PAMI 2012»
    Recognizing Human-Object Interactions in Still Images by Modeling the Mutual Context of Objects and Human Poses
    11 years 7 months ago
    Recognizing Human-Object Interactions in Still Images by Modeling the Mutual Context of Objects and Human Poses
    Download  ai.stanford.edu
    —Detecting objects in cluttered scenes and estimating articulated human body parts from 2D images are two challenging problems in computer vision. The difficulty is particularly...
    Bangpeng Yao, Fei-Fei Li
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    TCSV
    2011
    435views Theoretical Computer Science» more  TCSV 2011»
    Integrating Spatio-Temporal Context With Multiview Representation for Object Recognition in Visual Surveillance
    13 years 5 days ago
    Integrating Spatio-Temporal Context With Multiview Representation for Object Recognition in Visual Surveillance
    Download  grid.hust.edu.cn
    —We present in this paper an integrated solution to rapidly recognizing dynamic objects in surveillance videos by exploring various contextual information. This solution consists...
    Xiaobai Liu, Liang Lin, Shuicheng Yan, Hai Jin, We...
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    NIPS
    2008
    189views Information Technology» more  NIPS 2008»
    A "Shape Aware" Model for semi-supervised Learning of Objects and its Context
    13 years 6 months ago
    A "Shape Aware" Model for semi-supervised Learning of Objects and its Context
    Download  www.cis.upenn.edu
    We present an approach that combines bag-of-words and spatial models to perform semantic and syntactic analysis for recognition of an object based on its internal appearance and i...
    Abhinav Gupta, Jianbo Shi, Larry S. Davis
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