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Facial expression analysis under partial occlusion: A survey
Automatic machine-based Facial Expression Analysis (FEA) has made substantial progress
in the past few decades driven by its importance for applications in psychology, security …
in the past few decades driven by its importance for applications in psychology, security …
[HTML][HTML] Macro-and micro-expressions facial datasets: A survey
Automatic facial expression recognition is essential for many potential applications. Thus,
having a clear overview on existing datasets that have been investigated within the …
having a clear overview on existing datasets that have been investigated within the …
Affectnet: A database for facial expression, valence, and arousal computing in the wild
Automated affective computing in the wild setting is a challenging problem in computer
vision. Existing annotated databases of facial expressions in the wild are small and mostly …
vision. Existing annotated databases of facial expressions in the wild are small and mostly …
Masked face emotion recognition based on facial landmarks and deep learning approaches for visually impaired people
Current artificial intelligence systems for determining a person's emotions rely heavily on lip
and mouth movement and other facial features such as eyebrows, eyes, and the forehead …
and mouth movement and other facial features such as eyebrows, eyes, and the forehead …
From facial expression recognition to interpersonal relation prediction
Interpersonal relation defines the association, eg, warm, friendliness, and dominance,
between two or more people. We investigate if such fine-grained and high-level relation …
between two or more people. We investigate if such fine-grained and high-level relation …
Adaptive deep metric learning for identity-aware facial expression recognition
A key challenge of facial expression recognition (FER) is to develop effective
representations to balance the complex distribution of intra-and inter-class variations. The …
representations to balance the complex distribution of intra-and inter-class variations. The …
Daisee: Towards user engagement recognition in the wild
We introduce DAiSEE, the first multi-label video classification dataset comprising of 9068
video snippets captured from 112 users for recognizing the user affective states of boredom …
video snippets captured from 112 users for recognizing the user affective states of boredom …
A deep learning perspective on the origin of facial expressions
Facial expressions play a significant role in human communication and behavior.
Psychologists have long studied the relationship between facial expressions and emotions …
Psychologists have long studied the relationship between facial expressions and emotions …
FATAUVA-Net: An integrated deep learning framework for facial attribute recognition, action unit detection, and valence-arousal estimation
Facial expression recognition has been investigated for many years, and there are two
popular models: Action Units (AUs) and the Valence-Arousal space (VA space) that have …
popular models: Action Units (AUs) and the Valence-Arousal space (VA space) that have …
Driver's facial expression recognition: A comprehensive survey
Driving is an integral part of daily life for millions of people worldwide, and it has a profound
impact on road safety and human health. The emotional state of the driver, including feelings …
impact on road safety and human health. The emotional state of the driver, including feelings …