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C. Fabian Benitez-Quiroz

2 accepted papers

2017

Recognition of Action Units in the Wild With Deep Nets and a New Global-Local Loss

ICCV 2017poster

Most previous algorithms for the recognition of Action Units (AUs) were trained on a small number of sample images. This was due to the limited amount of labeled data available at the time. This meant that data-hungry deep neural networks, which have shown their potential in other computer vision pr…

Cited by 62PDFScholar
2016

EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild

CVPR 2016spotlight

Research in face perception and emotion theory requires very large annotated databases of images of facial expressions of emotion. Annotations should include Action Units (AUs) and their intensities as well as emotion category. This goal cannot be readily achieved manually. Herein, we present a nove…

Cited by 711PDFScholar