This study introduces LRDif, a novel diffusion-based framework designed specifically for
facial expression recognition (FER) within the context of under-display cameras (UDC). To …

The human face is a silent communicator, expressing emotions and thoughts through it's
facial expressions. With the advancements in computer vision in recent years, facial emotion …

Micro-expression recognition (MER) remains challenging due to its subtle and fleeting
nature. Existing methods often suffer from insufficient training data or rely on handcrafted …

Recently, deep learning-based micro-expression recognition (MER) has been remarkably
successful in the affective computing and computer vision communities. However, the most …

Micro-expression recognition (MER) aims to recognize the short and subtle facial
movements from the Micro-expression (ME) video clips, which reveal real emotions. Recent …

Facial micro-expression (ME) recognition has garnered substantial interest in both computer
vision and psychology for its ability to detect nonverbal emotions through subtle, involuntary …

Micro-expressions are subtle facial movements that occur spontaneously when people try to
conceal real emotions. Micro-expression recognition is crucial in many fields, including …

Micro-expressions, as indicators of true emotions, have significant applications in medical
care and public safety. These expressions are characterized by their short duration, low …

Micro-expressions are brief and subtle facial movements that can reveal an individual's true
emotions. In this paper, we introduce the idea of direct learning of graph structures for …

Micro-expression recognition (MER) is a critical task in affective computing, yet it remains
challenging due to the subtle, brief, and involuntary nature of micro-expressions. Existing …