Emotions play a crucial role in human communication, and accurately recognizing them is
essential for the development of intelligent systems capable of effective human interaction …

Label noise is inevitable in facial expression recognition (FER) datasets, especially for
datasets that collected by web crawling, crowd sourcing in in-the-wild scenarios, which …

Context-aware emotion recognition (CAER) is a complex and significant task that requires
perceiving emotions from various contextual cues. Previous approaches primarily focus on …

Noisy labels are unavoidable in facial expression recognition (FER) task, significantly
hindering FER performance in real-world scenarios. Recent advances tackle this problem by …

The rapid expansion of social media platforms has provided unprecedented access to
massive amounts of multimodal user-generated content. Comprehending user emotions can …

With the rapid growth of mobile internet and self-media, there is an increasingly urgent need
to understand the emotional states of characters in images. Traditional methods primarily …