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Facial Attribute Analysis
Facial attributes indicate the intuitive semantic descriptions of a human face like gender, race, expression, and so on. In the past few years,...
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Using Data Mining Techniques to Analyze Facial Expression Motion Vectors
Automatic recognition of facial expressions is a common problem in human-computer interaction. While humans can recognize facial expressions very...
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AU-Oriented Expression Decomposition Learning for Facial Expression Recognition
Facial Expression Recognition (FER) has received extensive attention in recent years. Due to the strong similarity between expressions, it is urgent...
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Full Quaternion Matrix-Based Multiscale Principal Component Analysis Network for Facial Expression Recognition
To acquire a more discriminative feature of facial expression, we propose a multi-scale principal component analysis network based on full quaternion...
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Variation of deep features analysis for facial expression recognition system
In this paper, a unique facial expression recognition system has been proposed. The objective of this paper is to identify the type of human facial...
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Facial expression recognition: a review
Facial expression recognition has become a hot issue in the field of artificial intelligence. So, we collect literature on facial expression...
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Multiple Attention Network for Facial Expression Recognition
Facial expression recognition (FER) has become increasingly important in the field of human-computer interaction. This paper proposes an improved...
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Occlusion-aware facial expression recognition: A deep learning approach
Facial expression recognition plays a crucial role in computer vision and human–computer interaction, with applications ranging from emotion analysis...
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FEAD-D: Facial Expression Analysis in Deepfake Detection
As the development of deep learning (DL) techniques has progressed, the creation of convincing synthetic media, known as deepfakes, has become...
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Self-supervised facial expression recognition with fine-grained feature selection
Facial expression recognition (FER) holds significant practical implications in real-world scenarios such as human–computer interaction, fatigue...
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Visual Analysis of Facial Expression Recognition Research Based on Knowledge Graph
The change of facial expression is the external form of human inner activity, and the change of facial expression in the process of interaction is...
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Facial Expression Recognition: Detection and Tracking
One of the simplest ways to tell someone else apart from you is by their face. A personal identification system like face recognition may use an...
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Analysis of facial emotion expression in eating occasions using deep learning
Eating is experienced as an emotional social activity in any culture. There are factors that influence the emotions felt during food consumption. The...
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Cross-centroid ripple pattern for facial expression recognition
In this paper, we propose a new feature descriptor Cross-Centroid Ripple Pattern (CRIP) for facial expression recognition. CRIP encodes the...
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Self-supervised extracted contrast network for facial expression recognition
Self-supervised Contrastive learning has recently demonstrated significant performance in Facial Expression Recognition (FER). However, existing...
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Occluded Facial Expression Recognition Using Self-supervised Learning
Recent studies on occluded facial expression recognition typically required fully expression-annotated facial images for training. However, it is...
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Facial expression analysis in a wild sporting environment
The scientific community and mass media have already reported the use of nonverbal behavior analysis in sports for athletes’ performance. Their...
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Adaptively Enhancing Facial Expression Crucial Regions via a Local Non-local Joint Network
Facial expression recognition (FER) is still challenging due to the small interclass discrepancy in facial expression data. In view of the...
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Soft Label Mining and Average Expression Anchoring for Facial Expression Recognition
Facial expression recognition (FER) suffers from high interclass similarity and large intraclass variation, leading to ambiguity or uncertainty and...
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FGENet: a lightweight facial expression recognition algorithm based on FasterNet
To solve the problem of poor recognition accuracy due to the complex network structure in the facial expression recognition algorithm, an improved...
