The availability of large-scale face datasets has been key in the progress of face recognition.
However, due to licensing issues or copyright infringement, some datasets are not available …

In this research work, we proposed a novel ChildGAN, a pair of GAN networks for generating
synthetic boys and girls facial data derived from StyleGAN2. ChildGAN is built by performing …

Automated sewer defects detection has become an important trend for better management
and maintenance of urban sewer systems. Deep learning technology has developed rapidly …

Robust authentication for low-power consumer devices without a keyboard remains a
challenge. The recent availability of low-power neural accelerator hardware, combined with …

Law enforcement, legal authorities, financial fraud, and financial investigators seek evidence
of financial crimes, and graph technologies provide a unique opportunity to uncover …

Advancements in artificial intelligence, and especially deep learning technology have given
birth to a new era of multimedia forgery. Deepfake takes it to a whole new level. This deep …

The ability to accurately recognize an individual's face with respect to human aging factor
holds significant importance for various private as well as government sectors such as …

Synthetic data is increasingly crucial for training machine learning models, especially in
fields where real data is scarce or sensitive. This is particularly true for facial data, given …

The recent availability of low-power neural accelerator hardware, combined with
improvements in end-to-end neural facial recognition algorithms provides, enabling …

Recent low-power neural accelerator hardware provides a solution for end-to-end privacy
and secure facial authentication, such as smart refueling machine locks in shared …