Recently, develo** automated video surveillance systems (VSSs) has become crucial to
ensure the security and safety of the population, especially during events involving large …

Cross-domain Facial Expression Recognition (FER) aims to safely transfer the learned
knowledge from labeled source data to unlabeled target data, which is challenging due to …

Facial Expression Recognition (FER) has recently emerged as a crucial area in Human-
Computer Interaction (HCI) system for understanding the user's inner state and intention …

The in-the-wild dynamic facial expression recognition (DFER) has been challenging due to
several high-dynamics factors such as limited dynamic expression-related frames and …

Unsupervised cross-domain Facial Expression Recognition (FER) aims to transfer the
knowledge from a labeled source domain to an unlabeled target domain. Existing methods …

Domain adaptation has driven the progress of Facial Expression Recognition (FER).
Existing cross-domain FER methods focus only on the domain alignment of a single source …

Video-based facial expression recognition (FER) is a challenging task due to the dynamic
emotional changes with variant frames in video sequences. This paper proposes a novel …

Most existing cross-domain facial expression recognition (FER) works require target domain
data to assist the model in analyzing distribution shifts to overcome negative effects …