Abstract: Convolutional neural networks (CNNs) have achieved significant improvement for the task of facial expression recognition. However, current training still suffers from the inconsistent ...

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Researchers found that autistic and non-autistic people move their faces differently when expressing emotions like anger, happiness, and sadness. Autistic participants tended to rely on different ...

Abstract: This paper focuses on the facial micro-expression (FME) generation task, which has potential application in enlarging digital FME datasets, thereby alleviating the lack of training data with ...