A comprehensive review of facial expression recognition techniques

RR Adyapady, B Annappa - Multimedia Systems, 2023 - Springer
Emotion recognition has opened up many challenges, which lead to various advances in
computer vision and artificial intelligence. The rapid development in this field has …

Affective behaviour analysis using pretrained model with facial prior

Y Li, H Sun, Z Liu, H Han, S Shan - European Conference on Computer …, 2022 - Springer
Affective behavior analysis has aroused researchers' attention due to its broad applications.
However, it is labor exhaustive to obtain accurate annotations for massive face images …

Model level ensemble for facial action unit recognition at the 3rd abaw challenge

W Jiang, Y Wu, F Qiao, L Meng… - Proceedings of the …, 2022 - openaccess.thecvf.com
In this paper, we present our latest work on Action Unit Detection, which is a part of the
Affective Behavior Analysis in-the-wild (ABAW) 2022 Competition. Our proposed network is …

Ensemble convolutional neural networks with knowledge transfer for leather defect classification in industrial settings

M Aslam, TM Khan, SS Naqvi, G Holmes… - IEEE Access, 2020 - ieeexplore.ieee.org
Leather defect analysis is important for leather quality grading which directly effects the
leather exports. Automated leather sample classification is vital due to slow and subjective …

Rethinking affect analysis: A protocol for ensuring fairness and consistency

G Hu, D Kollias, E Papadopoulou, P Tzouveli… - arXiv preprint arXiv …, 2024 - arxiv.org
Evaluating affect analysis methods presents challenges due to inconsistencies in database
partitioning and evaluation protocols, leading to unfair and biased results. Previous studies …

[HTML][HTML] 心理学视角下的自动表情识别

颜文靖, 蒋柯, 傅小兰 - 智能系统学报, 2022 - html.rhhz.net
自动表情识别是心理学与计算机科学等深度交叉的前沿领域. 情绪心理学, 模式识别,
情感计算等领域的研究者发展表情识别相关的理论, 数据库和算法, 极大地推动了自动表情识别 …

Seeing Through the Mask: Recognition of Genuine Emotion Through Masked Facial Expression

J Zhou, X Liu, H Wang, Z Zhang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The purpose of facial expression recognition is to recognize the corresponding emotions.
However, people tend to hide their emotions by displaying facial expressions that differ from …

[PDF][PDF] ReCoT: Regularized Co-Training for Facial Action Unit Recognition with Noisy Labels.

Y Li, H Han, S Shan, Z Ji, J Bai, X Chen, TA Life - BMVC, 2023 - papers.bmvc2023.org
Facial action unit (AU) recognition is essential for recognizing fine-grained changes in facial
expression, while the demand for a large amount of accurately labeled AU data for training …

[PDF][PDF] Ensemble Convolutional Neural Networks With Knowledge Transfer for Leather Defect Classification in Industrial Settings

SS NAQVI, G HOLMES, R NAFFA - dro.deakin.edu.au
Leather defect analysis is important for leather quality grading which directly effects the
leather exports. Automated leather sample classification is vital due to slow and subjective …