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I am Research Professor at the Institute for Neural Computation, UCSD. I co-direct the Machine Perception Lab, where I lead the Computational Face Group. I study learning in vision, with application to face recognition and expression analysis. One area of focus explores models of unsupervised learning and their application to face processing. For example, principles of information maximization which have been associated with neural coding in early vision, also relate to findings in human face perception, such as other-race effects, face adaptation aftereffects, and perceptual effects relating to typicality. These ideas are reviewed in a recent paper. Another major focus of my research is the development of automatic facial expression recognition systems. In collaboration with other members of the Machine Perception Lab, we have developed an end-to-end system for automatic recognition of a set of basic expressions that works in real-time. We have also made substantial progress toward fully automating the facial action coding system, a comprehensive facial expression description system developed by Paul Ekman and Wallace Friesen. For a summary of our recent work in this area, see the following review chapter.
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2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2016): 5580-5589
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