Abaw: Learning from synthetic data & multi-task learning challenges

D Kollias - European Conference on Computer Vision, 2022 - Springer
This paper describes the fourth Affective Behavior Analysis in-the-wild (ABAW) Competition,
held in conjunction with European Conference on Computer Vision (ECCV), 2022. The 4th …

Privileged knowledge distillation for dimensional emotion recognition in the wild

MH Aslam, MO Zeeshan, M Pedersoli… - Proceedings of the …, 2023 - openaccess.thecvf.com
Automated emotion recognition (AER) has a growing number of applications, ranging from
behavior analysis in assistive robotics and smart e-learning to depression or pain detection …

Distilling privileged multimodal information for expression recognition using optimal transport

MH Aslam, MO Zeeshan, S Belharbi… - 2024 IEEE 18th …, 2024 - ieeexplore.ieee.org
Deep learning models for multimodal expression recognition have reached remarkable
performance in controlled laboratory environments because of their ability to learn …

Emotieffnet facial features in uni-task emotion recognition in video at abaw-5 competition

AV Savchenko - arXiv preprint arXiv:2303.09162, 2023 - arxiv.org
In this article, the results of our team for the fifth Affective Behavior Analysis in-the-wild
(ABAW) competition are presented. The usage of the pre-trained convolutional networks …

EmotiEffNets for facial processing in video-based valence-arousal prediction, expression classification and action unit detection

AV Savchenko - Proceedings of the IEEE/CVF Conference …, 2023 - openaccess.thecvf.com
In this article, the pre-trained convolutional networks from the EmotiEffNet family for frame-
level feature extraction are used for downstream emotion analysis tasks from the fifth …

Spatial-temporal graph-based AU relationship learning for facial action unit detection

Z Wang, S Song, C Luo, Y Zhou… - Proceedings of the …, 2023 - openaccess.thecvf.com
This paper presents our Facial Action Units (AUs) detection submission to the fifth Affective
Behavior Analysis in-the-wild Competition (ABAW). Our approach consists of three main …

Spatio-temporal au relational graph representation learning for facial action units detection

Z Wang, S Song, C Luo, Y Zhou, S Wu, W Xie… - arXiv preprint arXiv …, 2023 - arxiv.org
This paper presents our Facial Action Units (AUs) detection submission to the fifth Affective
Behavior Analysis in-the-wild Competition (ABAW). Our approach consists of three main …

Ensemble spatial and temporal vision transformer for action units detection

NT Vu, VT Huynh, TN Nguyen… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Abstract Facial Action Units detection (FAUs) represents a fine-grained classification
problem that involves identifying different units on the human face, as defined by the Facial …

Vision transformer for action units detection

T Vu, VT Huynh, SH Kim - arXiv preprint arXiv:2303.09917, 2023 - arxiv.org
Facial Action Units detection (FAUs) represents a fine-grained classification problem that
involves identifying different units on the human face, as defined by the Facial Action Coding …

Weakly supervised learning for facial behavior analysis: A review

RG Praveen, P Cardinal, E Granger - arXiv preprint arXiv:2101.09858, 2021 - arxiv.org
In the recent years, there has been a shift in facial behavior analysis from the laboratory-
controlled conditions to the challenging in-the-wild conditions due to the superior …