Psychological studies have shown that Micro Gestures (MG) are closely linked to human
emotions. MG-based emotion understanding has attracted much attention because it allows …

Video emotion recognition aims to infer human emotional states from the audio, visual, and
text modalities. Previous approaches are centered around designing sophisticated fusion …

Micro-expressions (MEs) play such an important role in predicting a person's genuine
emotions, as to make micro-expression recognition such an important resea rch focus in …

Although much progress has been made in visual emotion recognition, researchers have
realized that modern deep networks tend to exploit dataset characteristics to learn spurious …

In this paper, we present our methods to the Audio-Video Based Emotion Recognition
subtask in the 2016 Emotion Recognition in the Wild (EmotiW) Challenge. The task is to …

We introduce a new dataset for the emotional artificial intelligence research: identity-free
video dataset for micro-gesture understanding and emotion analysis (iMiGUE). Different …

Extracting emotions from physiological signals has become popular over the past decade.
Recent advancements in wearable smart devices have enabled capturing physiological …

Human multimodal emotion recognition (MER) aims to perceive and understand human
emotions via various heterogeneous modalities, such as language, vision, and acoustic …

Automatic emotion recognition is an active research topic with wide range of applications.
Due to the high manual annotation cost and inevitable label ambiguity, the development of …

Micro-expressions (MEs) can reveal the hidden but real emotion and are usually caused
spontaneously. However, the characteristics of subtlety and temporariness with the lack of …