Exabytes of data are generated daily by humans, leading to the growing needs for new
efforts in dealing with the grand challenges for multi-label learning brought by big data. For …

Online learners participate in various educational activities including reading, writing,
watching video tutorials, online exams, and online meetings. During the participation in …

Research in face perception and emotion theory requires very large annotated databases of
images of facial expressions of emotion. Annotations should include Action Units (AUs) and …

Automatic affect analysis has attracted great interest in various contexts including the
recognition of action units and basic or non-basic emotions. In spite of major efforts, there …

As one of the most comprehensive and objective ways to describe facial expressions, the
Facial Action Coding System (FACS) has recently received significant attention. Over the …

Region learning (RL) and multi-label learning (ML) have recently attracted increasing
attentions in the field of facial Action Unit (AU) detection. Knowing that AUs are active on …

Facial action unit (AU) recognition is a crucial task for facial expressions analysis and has
attracted extensive attention in the field of artificial intelligence and computer vision. Existing …

Encoding individual facial expressions via action units (AUs) coded by the Facial Action
Coding System (FACS) has been found to be an effective approach in resolving the …

Action Unit (AU) detection becomes essential for facial analysis. Many proposed
approaches face challenging problems in dealing with the alignments of different face …

Attention mechanism has recently attracted increasing attentions in the field of facial action
unit (AU) detection. By finding the region of interest of each AU with the attention …