A compact deep learning model for robust facial expression recognition
In this paper, we propose a compact frame-based facial expression recognition framework
for facial expression recognition which achieves very competitive performance with respect …
for facial expression recognition which achieves very competitive performance with respect …
Facial emotion expressions in human–robot interaction: A survey
N Rawal, RM Stock-Homburg - International Journal of Social Robotics, 2022 - Springer
Facial expressions are an ideal means of communicating one's emotions or intentions to
others. This overview will focus on human facial expression recognition as well as robotic …
others. This overview will focus on human facial expression recognition as well as robotic …
Facial expression recognition: a review of methods, performances and limitations
O Ekundayo, S Viriri - 2019 Conference on Information …, 2019 - ieeexplore.ieee.org
Facial expression is one of the profound nonverbal channels through which human emotion
state is communicated, its automation involves analysis and recognition of facial features …
state is communicated, its automation involves analysis and recognition of facial features …
Lomo: Latent ordinal model for facial analysis in videos
We study the problem of facial analysis in videos. Our first contribution is a novel weakly
supervised learning method that models the video event (pain, expression etc.) as a …
supervised learning method that models the video event (pain, expression etc.) as a …
STRAN: Student expression recognition based on spatio-temporal residual attention network in classroom teaching videos
Z Chen, M Liang, Z Xue, W Yu - Applied Intelligence, 2023 - Springer
In order to obtain the state of students' listening in class objectively and accurately, we can
obtain students' emotions through their expressions in class and cognitive feedback through …
obtain students' emotions through their expressions in class and cognitive feedback through …
Learning dynamic relationships for facial expression recognition based on graph convolutional network
Facial action units (AUs) analysis plays an important role in facial expression recognition
(FER). Existing deep spectral convolutional networks (DSCNs) have made encouraging …
(FER). Existing deep spectral convolutional networks (DSCNs) have made encouraging …
Spatio-temporal modelling with multi-gradient features and elongated quinary pattern descriptor for dynamic facial expression recognition
We propose a new spatio-temporal modelling approach for Dynamic Facial Expression
Recognition (DFER). We first convert the domain of the spatial images in the sequence to …
Recognition (DFER). We first convert the domain of the spatial images in the sequence to …
MiniExpNet: A small and effective facial expression recognition network based on facial local regions
Abstract Deep networks based Facial Expression Recognition (FER) have shown excellent
performance. Due to high computational cost and memory resources, it is hard to develop …
performance. Due to high computational cost and memory resources, it is hard to develop …
A spatio-temporal integrated model based on local and global features for video expression recognition
M Hu, P Ge, X Wang, H Lin, F Ren - The visual computer, 2022 - Springer
Facial expressions can be represented largely by the dynamic variations of important facial
expression parts, ie, eyebrows, eyes, nose, and mouth. The features of these parts are …
expression parts, ie, eyebrows, eyes, nose, and mouth. The features of these parts are …
Survey on facial expressions recognition: databases, features and classification schemes
MJAI Dujaili - Multimedia Tools and Applications, 2024 - Springer
The recognition of facial expression in images is one of the motional states in the observing
forms and is one of the most frequent non-verbal routes in which a person transfers his inner …
forms and is one of the most frequent non-verbal routes in which a person transfers his inner …