Facial expression emotion recognition is an intuitive reflection of a person's mental state,
which contains rich emotional information, and is one of the most important forms of …

Understanding human emotions and psychology is a critical step toward realizing artificial
intelligence, and correct recognition of facial expressions is essential for judging emotions …

In recent years, the importance of catching humans' emotions grows larger as the artificial
intelligence (AI) field is being developed. Facial expression recognition (FER) is a part of …

Facial expression recognition (FER) is a significant task for the machines to understand the
emotional changes in human beings. However, accurate hand-crafted features that are …

Facial emotion recognition extracts the human emotions from the images and videos. As
such, it requires an algorithm to understand and model the relationships between faces and …

Different subjects may express a specific expression in different ways due to inter-subject
variabilities. In this work, besides training deep-learned facial expression feature (emotional …

Facial expression recognition (FER) in the wild is a novel and challenging topic in the field of
human emotion perception. Different kinds of convolutional neural network (CNN) …

As a sub-challenge of EmotiW (the Emotion Recognition in the Wild challenge), how to
improve performance on the AFEW (Acted Facial Expressions in the wild) dataset is a …

In this paper, an approach for Facial Expressions Recognition (FER) based on a multi-facial
patches (MFP) aggregation network is proposed. Deep features are learned from facial …

Human emotions recognition (HERO) is considered as one of the important techniques for
realizing the intelligent Internet of Things. The demand for a robust and precise facial …