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 …
Deep-emotion: Facial expression recognition using attentional convolutional network
S Minaee, M Minaei, A Abdolrashidi - Sensors, 2021 - mdpi.com
Facial expression recognition has been an active area of research over the past few
decades, and it is still challenging due to the high intra-class variation. Traditional …
decades, and it is still challenging due to the high intra-class variation. Traditional …
Reliable crowdsourcing and deep locality-preserving learning for expression recognition in the wild
Past research on facial expressions have used relatively limited datasets, which makes it
unclear whether current methods can be employed in real world. In this paper, we present a …
unclear whether current methods can be employed in real world. In this paper, we present a …
Traffic management: Multi-scale vehicle detection in varying weather conditions using yolov4 and spatial pyramid pooling network
Detecting and counting on road vehicles is a key task in intelligent transport management
and surveillance systems. The applicability lies both in urban and highway traffic monitoring …
and surveillance systems. The applicability lies both in urban and highway traffic monitoring …
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 …
Fully automatic recognition of the temporal phases of facial actions
MF Valstar, M Pantic - IEEE Transactions on Systems, Man, and …, 2011 - ieeexplore.ieee.org
Past work on automatic analysis of facial expressions has focused mostly on detecting
prototypic expressions of basic emotions like happiness and anger. The method proposed …
prototypic expressions of basic emotions like happiness and anger. The method proposed …
Meta-analysis of the first facial expression recognition challenge
Automatic facial expression recognition has been an active topic in computer science for
over two decades, in particular facial action coding system action unit (AU) detection and …
over two decades, in particular facial action coding system action unit (AU) detection and …
Facial expression recognition using a hybrid CNN–SIFT aggregator
Deriving an effective facial expression recognition component is important for a successful
human-computer interaction system. Nonetheless, recognizing facial expression remains a …
human-computer interaction system. Nonetheless, recognizing facial expression remains a …