A systematic review on affective computing: Emotion models, databases, and recent advances
Affective computing conjoins the research topics of emotion recognition and sentiment
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
Unlocking the emotional world of visual media: An overview of the science, research, and impact of understanding emotion
The emergence of artificial emotional intelligence technology is revolutionizing the fields of
computers and robotics, allowing for a new level of communication and understanding of …
computers and robotics, allowing for a new level of communication and understanding of …
Rethinking the learning paradigm for dynamic facial expression recognition
Abstract Dynamic Facial Expression Recognition (DFER) is a rapidly develo** field that
focuses on recognizing facial expressions in video format. Previous research has …
focuses on recognizing facial expressions in video format. Previous research has …
Ferv39k: A large-scale multi-scene dataset for facial expression recognition in videos
Current benchmarks for facial expression recognition (FER) mainly focus on static images,
while there are limited datasets for FER in videos. It is still ambiguous to evaluate whether …
while there are limited datasets for FER in videos. It is still ambiguous to evaluate whether …
Former-dfer: Dynamic facial expression recognition transformer
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 …
the in-the-wild scenario. Specifically, the proposed Former-DFER mainly consists of a …
Facial affective behavior analysis with instruction tuning
Facial affective behavior analysis (FABA) is crucial for understanding human mental states
from images. However, traditional approaches primarily deploy models to discriminate …
from images. However, traditional approaches primarily deploy models to discriminate …
From static to dynamic: Adapting landmark-aware image models for facial expression recognition in videos
Dynamic facial expression recognition (DFER) in the wild is still hindered by data limitations,
eg, insufficient quantity and diversity of pose, occlusion and illumination, as well as the …
eg, insufficient quantity and diversity of pose, occlusion and illumination, as well as the …
Dpcnet: Dual path multi-excitation collaborative network for facial expression representation learning in videos
Current works of facial expression learning in video consume significant computational
resources to learn spatial channel feature representations and temporal relationships. To …
resources to learn spatial channel feature representations and temporal relationships. To …
ME-PLAN: A deep prototypical learning with local attention network for dynamic micro-expression recognition
As one of the important psychological stress reactions, Micro-expressions (MEs) are
spontaneous and subtle facial movements, which usually occur in a high-stake situation and …
spontaneous and subtle facial movements, which usually occur in a high-stake situation and …
Mae-dfer: Efficient masked autoencoder for self-supervised dynamic facial expression recognition
Dynamic facial expression recognition (DFER) is essential to the development of intelligent
and empathetic machines. Prior efforts in this field mainly fall into supervised learning …
and empathetic machines. Prior efforts in this field mainly fall into supervised learning …