Face recognition technology is a biometric technology, which is based on the identification
of facial features of a person. People collect the face images, and the recognition equipment …

Low-resolution face recognition (LRFR) has received increasing attention over the past few
years. Its applications lie widely in the real-world environment when high-resolution or high …

Cybersecurity in front of attacks to a face recognition system is an emerging issue in the
cloud era, especially due to its strong bonds with the privacy of the users registered to the …

Face Anti-spoofing (FAS) is essential to secure face recognition systems from various
physical attacks. However, recent research generally focuses on short-distance applications …

Intelligent video surveillance is an important computer vision application in natural
environments. Since detected objects under surveillance are usually low-resolution and …

Knowledge distillation provides an effective way to transfer knowledge via teacher-student
learning, where most existing distillation approaches apply a fixed pre-trained model as …

We propose a novel coupled mappings method for low resolution face recognition using
deep convolutional neural networks (DCNNs). The proposed architecture consists of two …

Face Anti-spoofing (FAS) is essential to secure face recognition systems from various
physical attacks. However, most of the studies lacked consideration of long-distance …

Face recognition based on deep convolutional neural networks (CNN) shows superior
accuracy performance attributed to the high discriminative features extracted. Yet, the …

Abstract Convolutional Neural Network models have reached extremely high performance
on the Face Recognition task. Mostly used datasets, such as VGGFace2, focus on gender …