The locations of the fiducial facial landmark points around facial components and facial
contour capture the rigid and non-rigid facial deformations due to head movements and …

Facial Expression Recognition (FER) is presently the aspect of cognitive and affective
computing with the most attention and popularity, aided by its vast application areas. Several …

High-resolution representations are essential for position-sensitive vision problems, such as
human pose estimation, semantic segmentation, and object detection. Existing state-of-the …

High-resolution representation learning plays an essential role in many vision problems, eg,
pose estimation and semantic segmentation. The high-resolution network (HRNet)~\cite …

We present a novel boundary-aware face alignment algorithm by utilising boundary lines as
the geometric structure of a human face to help facial landmark localisation. Unlike the …

Computer Vision has recently witnessed great research advance towards automatic facial
points detection. Numerous methodologies have been proposed during the last few years …

Heatmap regression with a deep network has become one of the mainstream approaches to
localize facial landmarks. However, the loss function for heatmap regression is rarely …

In this paper, we propose Deep Alignment Network (DAN), a robust face alignment method
based on a deep neural network architecture. DAN consists of multiple stages, where each …

In this paper we propose to learn a mapping from image pixels into a dense template grid
through a fully convolutional network. We formulate this task as a regression problem and …

In this paper, we present a new benchmark (Menpo benchmark) for facial landmark
localisation and summarise the results of the recent competition, so-called Menpo …