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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...
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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...
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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 ...