Poster++: A simpler and stronger facial expression recognition network
J Mao, R Xu, X Yin, Y Chang, B Nie, A Huang… - Pattern Recognition, 2024 - Elsevier
The POSTER has achieved SOTA performance in facial expression recognition (FER) by
effectively combining facial landmarks and image features through its two-stream pyramid …
effectively combining facial landmarks and image features through its two-stream pyramid …
Understanding deep learning techniques for recognition of human emotions using facial expressions: A comprehensive survey
Emotion recognition plays a significant role in cognitive psychology research. However,
measuring emotions is a challenging task. Thus, several approaches have been designed …
measuring emotions is a challenging task. Thus, several approaches have been designed …
Multi-label compound expression recognition: C-expr database & network
D Kollias - Proceedings of the IEEE/CVF conference on …, 2023 - openaccess.thecvf.com
Research in automatic analysis of facial expressions mainly focuses on recognising the
seven basic ones. However, compound expressions are more diverse and represent the …
seven basic ones. However, compound expressions are more diverse and represent the …
Learn from all: Erasing attention consistency for noisy label facial expression recognition
Abstract Noisy label Facial Expression Recognition (FER) is more challenging than
traditional noisy label classification tasks due to the inter-class similarity and the annotation …
traditional noisy label classification tasks due to the inter-class similarity and the annotation …
Classifying emotions and engagement in online learning based on a single facial expression recognition neural network
AV Savchenko, LV Savchenko… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, behaviour of students in the e-learning environment is analyzed. The novel
pipeline is proposed based on video facial processing. At first, face detection, tracking and …
pipeline is proposed based on video facial processing. At first, face detection, tracking and …
Transfer: Learning relation-aware facial expression representations with transformers
Facial expression recognition (FER) has received increasing interest in computer vision. We
propose the TransFER model which can learn rich relation-aware local representations. It …
propose the TransFER model which can learn rich relation-aware local representations. It …
Distract your attention: Multi-head cross attention network for facial expression recognition
This paper presents a novel facial expression recognition network, called Distract your
Attention Network (DAN). Our method is based on two key observations in biological visual …
Attention Network (DAN). Our method is based on two key observations in biological visual …
Context de-confounded emotion recognition
Abstract Context-Aware Emotion Recognition (CAER) is a crucial and challenging task that
aims to perceive the emotional states of the target person with contextual information …
aims to perceive the emotional states of the target person with contextual information …
Face2exp: Combating data biases for facial expression recognition
Facial expression recognition (FER) is challenging due to the class imbalance caused by
data collection. Existing studies tackle the data bias problem using only labeled facial …
data collection. Existing studies tackle the data bias problem using only labeled facial …
Facial expression and attributes recognition based on multi-task learning of lightweight neural networks
AV Savchenko - 2021 IEEE 19th International Symposium on …, 2021 - ieeexplore.ieee.org
In this paper, the multi-task learning of lightweight convolutional neural networks is studied
for face identification and classification of facial attributes (age, gender, ethnicity) trained on …
for face identification and classification of facial attributes (age, gender, ethnicity) trained on …