Unlike the conventional facial expressions, micro-expressions are involuntary and transient
facial expressions capable of revealing the genuine emotions that people attempt to hide …

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 …

This paper investigates how far a very deep neural network is from attaining close to
saturating performance on existing 2D and 3D face alignment datasets. To this end, we …

Over the past few years, there has been an increased interest in automatic facial behavior
analysis and understanding. We present OpenFace-an open source tool intended for …

We present a new loss function, namely Wing loss, for robust facial landmark localisation
with Convolutional Neural Networks (CNNs). We first compare and analyse different loss …

Deepfakes is a branch of malicious techniques that transplant a target face to the original
one in videos, resulting in serious problems such as infringement of copyright, confusion of …

Face alignment, which fits a face model to an image and extracts the semantic meanings of
facial pixels, has been an important topic in CV community. However, most algorithms are …

Face alignment, which fits a face model to an image and extracts the semantic meanings of
facial pixels, has been an important topic in the computer vision community. However, most …

Emotion recognition plays a significant role in cognitive psychology research. However,
measuring emotions is a challenging task. Thus, several approaches have been designed …

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