DeepCoder: Semi-parametric Variational Autoencoders for Automatic Facial Action Coding

ICCV 2017 Dieu Linh TranRobert WaleckiOgnjen RudovicStefanos EleftheriadisBjørn SchullerMaja Pantic

Human face exhibits an inherent hierarchy in its representations (i.e., holistic facial expressions can be encoded via a set of facial action units (AUs) and their intensity). Variational (deep) auto-encoders (VAE) have shown great results in unsupervised extraction of hierarchical latent representations from large amounts of image data, while being robust to noise and other undesired artifacts... (read more)

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