@inproceedings{1b2508529c6843f684fd42b15f3d7399,
title = "Facial expression transfer with input-output Temporal Restricted Boltzmann Machines",
abstract = "We present a type of Temporal Restricted Boltzmann Machine that defines a probability distribution over an output sequence conditional on an input sequence. It shares the desirable properties of RBMs: efficient exact inference, an exponentially more expressive latent state than HMMs, and the ability to model nonlinear structure and dynamics. We apply our model to a challenging real-world graphics problem: facial expression transfer. Our results demonstrate improved performance over several baselines modeling high-dimensional 2D and 3D data.",
author = "Zeiler, {Matthew D.} and Taylor, {Graham W.} and Leonid Sigal and Iain Matthews and Rob Fergus",
year = "2011",
language = "English (US)",
isbn = "9781618395993",
series = "Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011",
publisher = "Neural Information Processing Systems",
booktitle = "Advances in Neural Information Processing Systems 24",
note = "25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011 ; Conference date: 12-12-2011 Through 14-12-2011",
}