Unsupervised Deep Representations for Learning Audience Facial Behaviors

10 May 2018Suman SahaRajitha NavarathnaLeonhard HelmingerRomann Weber

In this paper, we present an unsupervised learning approach for analyzing facial behavior based on a deep generative model combined with a convolutional neural network (CNN). We jointly train a variational auto-encoder (VAE) and a generative adversarial network (GAN) to learn a powerful latent representation from footage of audiences viewing feature-length movies... (read more)

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