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 …

Multi-Task Learning has emerged as a methodology in which multiple tasks are jointly
learned by a shared learning algorithm, such as a DNN. MTL is based on the assumption …

Automatic facial behavior analysis has a long history of studies in the intersection of
computer vision, physiology and psychology. However it is only recently, with the collection …

Interpersonal relation defines the association, eg, warm, friendliness, and dominance,
between two or more people. We investigate if such fine-grained and high-level relation …

Emotion, a fundamental trait of human beings, plays a pivotal role in shaping aspects of our
lives, including our cognitive and perceptual abilities. Hence, emotion recognition also is …

Recognition of micro-expressions remains a topic of concern considering its brief span and
low intensity. This issue is addressed through convolutional neural networks (CNNs) by …

Facial expression and action units (AUs) represent two levels of descriptions of the facial
behavior. Due to the underlying facial anatomy and the need to form a meaningful coherent …

Face alignment can fail in real-world conditions, negatively impacting the performance of
automatic facial expression recognition (FER) systems. In this study, we assume a realistic …

Facial expression recognition is crucial for various human-robot interaction applications,
which requires facial expression analysis having a broad generalization. However, existing …

Facial action units (AUs) play an important role in human emotion understanding. One big
challenge for data-driven AU recognition approaches is the lack of enough AU annotations …