Face detection and alignment in unconstrained environment are
challenging due to various poses, illuminations and occlusions.
We propose a deep cascaded multi-task framework which boost
up the detection performance.
In particular, our framework leverages a cascaded architecture
with three stages of carefully designed deep convolutional
networks to predict face and landmark location in a coarse-to-fine