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  1. Chapter and Conference Paper

    Top-Down Deep Appearance Attention for Action Recognition

    Recognizing human actions in videos is a challenging problem in computer vision. Recently, convolutional neural network based deep features have shown promising results for action recognition. In this paper, w...

    Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer in Image Analysis (2017)

  2. Chapter and Conference Paper

    Deep Semantic Pyramids for Human Attributes and Action Recognition

    Describing persons and their actions is a challenging problem due to variations in pose, scale and viewpoint in real-world images. Recently, semantic pyramids approach [1] for pose normalization has shown to prov...

    Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer in Image Analysis (2015)

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    Chapter and Conference Paper

    Opponent Colors for Human Detection

    Human detection is a key component in fields such as advanced driving assistance and video surveillance. However, even detecting non-occluded standing humans remains a challenge of intensive research. Finding ...

    Rao Muhammad Anwer, David Vázquez in Pattern Recognition and Image Analysis (2011)