Estimating the head pose of a person is a crucial prob-lem that has a large amount of
applications such as aiding in gaze estimation, modeling attention, fitting 3D models to video …

With the increasing number of public available training data for face alignment, the
regression-based methods attracted much attention and have become the dominant …

Cascaded regression has recently become the method of choice for solving non-linear least
squares problems such as deformable image alignment. Given a sizeable training set …

Regression based facial landmark detection methods usually learns a series of regression
functions to update the landmark positions from an initial estimation. Most of existing …

Being accurate, efficient, and compact is essential to a facial landmark detector for practical
use. To simultaneously consider the three concerns, this paper investigates a neat model …

Head pose estimation has attracted immense research interest recently, as its inherent
information significantly improves the performance of face-related applications such as face …

This paper concerns the problem of facial landmark detection. We provide a unique new
analysis of the features produced at intermediate layers of a convolutional neural network …

Face alignment is a classic problem in the computer vision field. Previous research mostly
focus on sparse alignment of the face image with a limited set of facial landmark points, ie …

Facial pose estimation refers to the task of predicting face orientation from a single RGB
image. It is an important research topic with a wide range of applications in computer vision …

We present a practical approach to address the problem of unconstrained face alignment for
a single image. In our unconstrained problem, we need to deal with large shape and …