2016
LOMo: Latent Ordinal Model for Facial Analysis in Videos
CVPR 2016spotlight
We study the problem of facial analysis in videos. Our first contribution is a novel weakly supervised learning method that models the video event (pain, expression etc.) as a sequence of automatically mined, discriminative sub-events (eg. neutral face, raising brows, contracting lips). The proposed…