Emotion recognition has attracted major attention in numerous fields because of its relevant
applications in the contemporary world: marketing, psychology, surveillance, and …

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

Generally, facial expressions could be classified into two categories: static facial
expressions and micro-expressions. There are many promising applications of facial …

Micro-expression recognition (MER) has attracted much attention with various practical
applications, particularly in clinical diagnosis and interrogations. In this paper, we propose a …

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-expression analysis by computer vision techniques has attracted much attention as it
can reveal the human emotions automatically. Among the analysis tasks, the temporal …

This paper aims to propose an automatic micro-expression spotting method of high accuracy
and high robustness. Due to the characteristics of small amplitude and short duration, how to …

This paper presents baseline results for the Third Facial Micro-Expression Grand Challenge
(MEGC 2020). Both macro-and micro-expression intervals in CAS (ME) 2 and SAMM Long …

This paper considers the challenge of spotting facial macro-and micro-expression from long
videos. We propose the multi-temporal stream network (MTSN) model that takes two distinct …