JAA-Net: Joint facial action unit detection and face alignment via adaptive attention

Z Shao, Z Liu, J Cai, L Ma - International Journal of Computer Vision, 2021 - Springer
Facial action unit (AU) detection and face alignment are two highly correlated tasks, since
facial landmarks can provide precise AU locations to facilitate the extraction of meaningful …

Multi-scale promoted self-adjusting correlation learning for facial action unit detection

X Liu, K Yuan, X Niu, J Shi, Z Yu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Facial Action Unit (AU) detection is a crucial task in affective computing and social robotics
as it helps to identify emotions expressed through facial expressions. Anatomically, there are …

An automated online proctoring system using attentive-net to assess student mischievous behavior

T Potluri, VS, VKK K - Multimedia Tools and Applications, 2023 - Springer
In recent years, the pandemic situation has forced the education system to shift from
traditional teaching to online teaching or blended learning. The ability to monitor remote …

Molecular and phenotypic spectrum of Noonan syndrome in Chinese patients

X Li, R Yao, X Tan, N Li, Y Ding, J Li, G Chang… - Clinical …, 2019 - Wiley Online Library
Noonan syndrome (NS) is a common autosomal dominant/recessive disorder. No large‐
scale study has been conducted on NS in China, which is the most populous country in the …

Facial Action Unit detection based on multi-task learning strategy for unlabeled facial images in the wild

Z Shang, B Liu - Expert Systems with Applications, 2024 - Elsevier
Abstract Facial Action Unit (AU) detection often relies on highly-cost accurate labeling or
inaccurate pseudo labeling techniques in recent years. How to introduce large amounts of …

A novel multiface recognition method with short training time and lightweight based on ABASNet and H-softmax

F Wang, F **e, S Shen, L Huang, R Sun… - Ieee …, 2020 - ieeexplore.ieee.org
In order to solve the problem of low face recognition accuracy of traditional algorithms and
excessive long training time in deep learning methods, a novel lightweight and short training …

Mgrr-net: Multi-level graph relational reasoning network for facial action unit detection

X Ge, JM Jose, S Xu, X Liu, H Han - ACM Transactions on Intelligent …, 2024 - dl.acm.org
The Facial Action Coding System (FACS) encodes the action units (AUs) in facial images,
which has attracted extensive research attention due to its wide use in facial expression …

Warped convolutional neural networks for large homography transformation with psl (3) algebra

X Zhan, W Liu, R Yu, J Zhu, Y Li - Neurocomputing, 2025 - Elsevier
Homography has a fundamental and elegant relationship with the projective special linear
group and its embedding Lie algebra structure. However, the integration of homography and …

Refined dense face alignment through image matching

C Li, F Da - The Visual Computer, 2024 - Springer
Face alignment is the foundation of building 3D avatars for virtue communication in the
metaverse, human-computer interaction, AI-generated content, etc., and therefore, it is …

Unconstrained facial action unit detection via latent feature domain

Z Shao, J Cai, TJ Cham, X Lu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Facial action unit (AU) detection in the wild is a challenging problem, due to the
unconstrained variability in facial appearances and the lack of accurate annotations. Most …