Long short-term memory (LSTM) has transformed both machine learning and
neurocomputing fields. According to several online sources, this model has improved …

This paper proposes a dynamic facial expression recognition transformer (Former-DFER) for
the in-the-wild scenario. Specifically, the proposed Former-DFER mainly consists of a …

Multi-view facial expression recognition (FER) is a challenging computer vision task due to
the large intra-class difference caused by viewpoint variations. This paper presents a novel …

This paper presents a novel visual-language model called DFER-CLIP, which is based on
the CLIP model and designed for in-the-wild Dynamic Facial Expression Recognition …

With the continuous development of deep learning (DL), the task of multimodal dialogue
emotion recognition (MDER) has recently received extensive research attention, which is …

Dynamic Facial Expression Recognition (DFER) is crucial for understanding human
behavior. However, current methods exhibit limited performance mainly due to the scarcity of …

Abstract Recently, Facial Expression Recognition (FER) has gained much attention in the
research area for its various applications. In the facial expression recognition task, subject …

As a sub-challenge of EmotiW (the Emotion Recognition in the Wild challenge), how to
improve performance on the AFEW (Acted Facial Expressions in the wild) dataset is a …

How to extract effective expression representations that invariant to the identity-specific
attributes is a long-lasting problem for facial expression recognition (FER). Most of the …

With the continuous development of deep learning (DL), the task of multimodal dialog
emotion recognition (MDER) has recently received extensive research attention, which is …