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 …

Coronavirus disease 2019 (COVID-19) continues to pose a great challenge to the world
since its outbreak. To fight against the disease, a series of artificial intelligence (AI) …

During COVID-19 coronavirus epidemic, almost everyone wears a mask to prevent the
spread of virus. It raises a problem that the traditional face recognition model basically fails …

Tremendous progress has been made on face detection in recent years using convolutional
neural networks. While many face detectors use designs designated for the detection of …

Face recognition has been an active and vital topic among computer vision community for a
long time. Previous researches mainly focus on loss functions used for facial feature …

During the COVID-19 coronavirus epidemic, almost everyone wears a facial mask, which
poses a huge challenge to deep face recognition. In this workshop, we organize Masked …

Face benchmarks empower the research community to train and evaluate high-performance
face recognition systems. In this paper, we contribute a new million-scale recognition …

The emergence of the global COVID-19 pandemic poses new challenges for biometrics. Not
only are contactless biometric identification options becoming more important, but face …

In order to effectively prevent the spread of COVID-19 virus, almost everyone wears a mask
during coronavirus epidemic. This nearly makes conventional facial recognition technology …

Periocular is one of the promising biometric traits for human recognition. It encompasses a
surrounding area of eyes that includes eyebrows, eyelids, eyelashes, eye-folds, eyebrows …