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 …
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 …
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 …
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 …
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 …
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 …
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 …