Facial expression recognition (FER) in the wild received broad concerns in which occlusion
and pose variation are two key issues. This paper proposed a global multi-scale and local …

Human facial expressions change with different states of health; therefore, a facial-
expression recognition system can be beneficial to a healthcare framework. In this paper, a …

Pose-invariant facial expression recognition is quite challenging due to variations in facial
appearance and self-occlusion caused by head rotations. In this paper, we propose an …

Face frontalization is one way to overcome the pose variation problem, which simplifies multi-
view recognition into one canonical-view recognition. This paper presents a multi-task …

Abstract Facial Expression Recognition (FER) plays the vital role in the Human Computer
Interface (HCI) applications. The illumination and pose variations affect the FER adversely …

Computer vision techniques capable of detecting human behavior are gaining interest.
Several researchers have provided their review on behavior detection, however most of the …

Existing facial expression recognition methods either focus on pose variations or identity
bias, but not both simultaneously. This paper proposes an adversarial feature learning …

Multiview Facial Expression Recognition (MFER) is a well-known interdisciplinary problem
among computer science and related disciplines with promising and valuable applications …

Facial expression is one of the most significant elements which can tell us about the mental
state of any person. A human can convey approximately 55% of information nonverbally and …

Although tremendous strides have been made in facial expression recognition (FER),
recognizing facial expressions in non-frontal views remains an open challenge due to the …