A large number of intelligent models for masked face recognition (MFR) has been recently
presented and applied in various fields, such as masked face tracking for people safety or …

In the field of face/head-related product design, 3D statistical models (3DSMs) of human
heads and faces are widely used to model geometric variations, generate representative …

As wearing face masks is becoming an embedded practice due to the COVID-19 pandemic,
facial expression recognition (FER) that takes face masks into account is now a problem that …

With the recent COVID-19 pandemic, wearing masks has become a necessity in our daily
lives. People are encouraged to wear masks to protect themselves from the outside world …

The article analyzes the possibility and rationality of using proctoring technology in remote
monitoring of the progress of university students as a tool for identifying a student. Proctoring …

Abstract 3D parametric head models and 3D anthropometric analyses are essential in
designing head-related products. Existing 3D parametric head modeling only analyzes sex …

In this study, we aimed to find an optimized approach to improving facial and masked facial
recognition using machine learning and deep learning techniques. Prior studies only used a …

Deepfake videos present a significant challenge in the current media landscape. While
current deepfake detection methods demonstrate satisfactory performance, there is still room …

This paper presents a novel image inpainting framework for face mask removal. Although
current methods have demonstrated their impressive ability in recovering damaged face …

Deep learning-based face recognition continues to face challenges due to its reliance on
huge datasets obtained from web crawling, which can be costly to gather and raise …