Face expression recognition (FER) on low expression intensity is not well studied in the
literature. This paper investigates this problem and presents a novel Generative Adversarial …

Vision transformer (ViT) has been widely applied in many areas due to its self-attention
mechanism that help obtain the global receptive field since the first layer. It even achieves …

Facial Expression Recognition (FER) has consistently been a focal point in the field of facial
analysis. In the context of existing methodologies for 3D FER or 2D+ 3D FER, the extraction …

Datasets play a crucial role in the development of facial expression recognition (FER), but
most of the datasets suffer from obvious uncertainties and biases caused by different …

2D+ 3D facial expression recognition (FER) can effectively cope with illumination and pose
changes by merging texture and robust depth information. Most deep learning-based …

Large-scale facial expression datasets are primarily composed of real-world facial
expressions. Expression occlusion and large-angle faces are two important problems …