Micro-expressions (MEs) are involuntary facial movements revealing people's hidden
feelings in high-stake situations and have practical importance in various fields. Early …

Micro-expression (ME) is a significant non-verbal communication clue that reveals one
person's genuine emotional state. The development of micro-expression analysis (MEA) has …

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 …

Micro-expressions recognition is a challenge because it involves subtle variations in facial
organs. In this paper, first, we propose a novel pipeline to learn a facial graph (nodes and …

Micro-expressions (MEs) are rapid and subtle facial movements that are difficult to detect
and recognize. Most recent works have attempted to recognize MEs with spatial and …

Micro-expression spotting is a fundamental step in the micro-expression analysis. This
paper proposes a novel network based convolutional neural network (CNN) for spotting …

Micro-expressions (MEs) are spontaneous and involuntary facial subtle reactions which
often reveal the genuine emotions within human beings. Recognizing MEs automatically is …

As one of the important psychological stress reactions, Micro-expressions (MEs) are
spontaneous and subtle facial movements, which usually occur in a high-stake situation and …

Micro-expressions are spontaneous, rapid and subtle facial movements that can neither be
forged nor suppressed. They are very important nonverbal communication clues, but are …

Recognition of micro-expressions remains a topic of concern considering its brief span and
low intensity. This issue is addressed through convolutional neural networks (CNNs) by …