Face recognition is one of the most active research fields of computer vision and pattern
recognition, with many practical and commercial applications including identification, access …

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 …

Current face forgery detection methods achieve high accuracy under the within-database
scenario where training and testing forgeries are synthesized by the same algorithm …

Abstract The recently developed DEtection TRansformer (DETR) establishes a new object
detection paradigm by eliminating a series of hand-crafted components. However, DETR …

Abstract The coronavirus disease (COVID-19) is an unparalleled crisis leading to a huge
number of casualties and security problems. In order to reduce the spread of coronavirus …

The global epidemic of COVID-19 makes people realize that wearing a mask is one of the
most effective ways to protect ourselves from virus infections, which poses serious …

With the recent success of deep neural networks, remarkable progress has been achieved
on face recognition. However, collecting large-scale real-world training data for face …

Face recognition is one of the most common biometric authentication methods as its
feasibility while convenient use. Recently, the COVID-19 pandemic is dramatically …

Feature war** is a core technique in optical flow estimation; however, the ambiguity
caused by occluded areas during war** is a major problem that remains unsolved. In this …

Using the face as a biometric identity trait is motivated by the contactless nature of the
capture process and the high accuracy of the recognition algorithms. After the current COVID …