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 …

Recognition of facial expressions across various actors, contexts, and recording conditions
in real-world videos involves identifying local facial movements. Hence, it is important to …

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 …

Recent studies show that aggregating local descriptors into super vector yields effective
representation for retrieval and classification tasks. A popular method along this line is …

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 …