Automatic analysis of facial actions: A survey
As one of the most comprehensive and objective ways to describe facial expressions, the
Facial Action Coding System (FACS) has recently received significant attention. Over the …
Facial Action Coding System (FACS) has recently received significant attention. Over the …
A survey of affect recognition methods: audio, visual and spontaneous expressions
Automated analysis of human affective behavior has attracted increasing attention from
researchers in psychology, computer science, linguistics, neuroscience, and related …
researchers in psychology, computer science, linguistics, neuroscience, and related …
Facial expression recognition with grid-wise attention and visual transformer
Abstract Facial Expression Recognition (FER) has achieved remarkable progress as a result
of using Convolutional Neural N etworks (CNN). Relying on the spatial locality …
of using Convolutional Neural N etworks (CNN). Relying on the spatial locality …
Automatic analysis of facial affect: A survey of registration, representation, and recognition
Automatic affect analysis has attracted great interest in various contexts including the
recognition of action units and basic or non-basic emotions. In spite of major efforts, there …
recognition of action units and basic or non-basic emotions. In spite of major efforts, there …
Reenactgan: Learning to reenact faces via boundary transfer
We present a novel learning-based framework for face reenactment. The proposed method,
known as ReenactGAN, is capable of transferring facial movements and expressions from …
known as ReenactGAN, is capable of transferring facial movements and expressions from …
The extended cohn-kanade dataset (ck+): A complete dataset for action unit and emotion-specified expression
In 2000, the Cohn-Kanade (CK) database was released for the purpose of promoting
research into automatically detecting individual facial expressions. Since then, the CK …
research into automatically detecting individual facial expressions. Since then, the CK …
Deep multi-path convolutional neural network joint with salient region attention for facial expression recognition
Abstract Facial Expression Recognition (FER) has long been a challenging task in the field
of computer vision. In this paper, we present a novel model, named Deep Attentive Multi …
of computer vision. In this paper, we present a novel model, named Deep Attentive Multi …
Do deep neural networks learn facial action units when doing expression recognition?
Despite being the appearance-based classifier of choice in recent years, relatively few
works have examined how much convolutional neural networks (CNNs) can improve …
works have examined how much convolutional neural networks (CNNs) can improve …
Learning multiscale active facial patches for expression analysis
In this paper, we present a new idea to analyze facial expression by exploring some
common and specific information among different expressions. Inspired by the observation …
common and specific information among different expressions. Inspired by the observation …
Painful data: The UNBC-McMaster shoulder pain expression archive database
A major factor hindering the deployment of a fully functional automatic facial expression
detection system is the lack of representative data. A solution to this is to narrow the context …
detection system is the lack of representative data. A solution to this is to narrow the context …