Micro-expression (ME) is an involuntary, fleeting, and subtle facial expression. It may occur
in high-stake situations when people attempt to conceal or suppress their true feelings …

This paper focuses on the facial micro-expression (FME) generation task, which has
potential application in enlarging digital FME datasets, thereby alleviating the lack of training …

Facial expression recognition (FER) using a deep convolutional neural network (DCNN) is
important and challenging. Although a substantial effort is made to increase FER accuracy …

As a typical psychological stress reaction, micro-expression (ME) is usually quickly leaked
on a human face and can reveal the true feeling and emotional cognition. Therefore …

Facial micro-expressions (MEs) are involuntary movements of the face that occur
spontaneously when a person experiences an emotion but attempts to suppress or repress …

This paper proposes a novel method to represent expressive 3D facial shapes called the
Selective Expression Manipulation (SEM) by fitting the expression coefficients of delta …

Facial micro-expression (ME) refers to a brief spontaneous facial movement that can reveal
the genuine emotion of a person. The absence of data is a major problem for ME. Thankfully …

Facial micro-expression (FME) refers to a brief spontaneous facial movement that can
disclose a person's genuine emotion. The investigations of FMEs are hampered by the lack …

Since the last two decades, face recognition has been a significant area in the fields of
biometrics and machine learning that uses the different appearances and geometric-based …