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Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation
2019
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Facial action unit (AU) intensity is an index to characterize human expressions. Accurate AU intensity estimation depends on three major elements: image representation, intensity estimator, and supervisory information. Most existing methods learn intensity estimator with fixed image representation, and rely on the availability of fully annotated supervisory information. In this paper, a novel general framework for AU intensity estimation is presented, which differs from traditional estimation
doi:10.1109/cvpr.2019.00357
dblp:conf/cvpr/ZhangWDLLHJ19
fatcat:plywf27qonbb3jhbzs5g2vry7u