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 expressions are an important way through which humans interact socially. Building a
system capable of automatically recognizing facial expressions from images and video has …

Deep learning revolutionized data science, and recently its popularity has grown
exponentially, as did the amount of papers employing deep networks. Vision tasks, such as …

This paper addresses the problem of Face Alignment for a single image. We show how an
ensemble of regression trees can be used to estimate the face's landmark positions directly …

Video Object Segmentation, and video processing in general, has been historically
dominated by methods that rely on the temporal consistency and redundancy in consecutive …

Facial landmark detection has long been impeded by the problems of occlusion and pose
variation. Instead of treating the detection task as a single and independent problem, we …

The aim of single image super-resolution is to reconstruct a high-resolution image from a
single low-resolution input. Although the task is ill-posed it can be seen as finding a non …

This paper presents a highly efficient, very accurate regression approach for face alignment.
Our approach has two novel components: a set of local binary features, and a locality …

We propose a new approach for estimation of the positions of facial keypoints with three-
level carefully designed convolutional networks. At each level, the outputs of multiple …

We present a novel face alignment framework based on coarse-to-fine shape searching.
Unlike the conventional cascaded regression approaches that start with an initial shape and …