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We investigate the importance of parts for the tasks of action and attribute classification.
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Action recognition from a distributed representation of pose and appearance
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Learning hierarchical poselets for human parsing
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Deformable part models are convolutional neural networks
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Using k-poselets for detecting people and localizing their keypoints
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Regularized max pooling for image categorization
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Deep poselets for human detection
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