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Generative Adversarial Stacked Autoencoders for Facial Pose Normalization and Emotion Recognition
In this work, we propose a novel Generative Adversarial Stacked Autoencoder that learns to map facial expressions, with up to plus or minus 60 degrees, to an illumination invariant facial representation of 0 degrees.
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