This paper proposes a novel lip reading framework, especially for low-resource languages,
which has not been well addressed in the previous literature. Since low-resource languages …

Facial expression recognition (FER) is a challenging task due to the large appearance
variations and the lack of sufficient training data. Conventional deep approaches either learn …

Cyber–physical systems (CPSs) are evolving from individual systems to collectives of
systems that collaborate to achieve highly complex goals, realizing a cyber–physical system …

Facial landmark detection in the wild remains a challenging problem in computer vision.
Deep learning-based methods currently play a leading role in solving this. However, these …

The key of talking face generation is to synthesize the identity-preserving natural facial
expressions with accurate audio-lip synchronization. To accomplish this, it requires to …

Deep learning based facial landmark detection (FLD) has made rapid progress. However,
the accuracy and robustness of FLD algorithms are degraded heavily when the face is …

Using a loss function with appropriate properties to supervise the training of the neural
network can substantially improve its accuracy and speed. A majority of loss functions …

For the past decades, face recognition (FR) has been actively studied in computer vision
and pattern recognition society. Recently, due to the advances in deep learning, the FR …

The recent performance of facial landmark detection has been significantly improved by
using deep Convolutional Neural Networks (CNNs), especially the Heatmap Regression …

Cyber Physical Systems have been going into a transition phase from individual systems to
a collecttives of systems that collaborate in order to achieve a highly complex cause …