JAA-Net: Joint facial action unit detection and face alignment via adaptive attention
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 …
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
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 …
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
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 …
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 …
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 …
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 …
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
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 …
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
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 …
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 …
metaverse, human-computer interaction, AI-generated content, etc., and therefore, it is …
Unconstrained facial action unit detection via latent feature domain
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 …
unconstrained variability in facial appearances and the lack of accurate annotations. Most …