Facial expression recognition (FER) is a challenging task due to different expressions under
arbitrary poses. Most conventional approaches either perform face frontalization on a non …

Driven by recent advances in human-centered computing, Facial Expression Recognition
(FER) has attracted significant attention in many applications. However, most conventional …

We present a new end-to-end network architecture for facial expression recognition with an
attention model. It focuses attention in the human face and uses a Gaussian space …

Facial expression recognition (FER) is challenging because the appearance of an
expression varies significantly depending on head pose and inter-subject characteristics …

Facial expression recognition (FER) has attracted much attention in recent years due to its
wide applications. While some progress has been achieved thanks to the emergence of …

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

Multi-view facial expression recognition (FER) is a challenging task because the
appearance of an expression varies greatly due to poses. To alleviate the influences of …

Facial expression recognition, face synthesis, and face alignment are three coherently
related tasks and can be solved in a joint framework. To achieve this goal, in this paper, we …

Pose-invariant facial expression recognition is one of the popular research directions within
the field of computer vision, but pose variant usually change the facial appearance …

Feature learning has enjoyed much attention and achieved good performance in recent
studies of image processing. Unlike the required training conditions often assumed there, far …