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 …
M Khosravy, K Nakamura, Y Hirose… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
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 …
Z Huang, S Yang, MC Zhou, Z Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Intelligent video surveillance is an important computer vision application in natural environments. Since detected objects under surveillance are usually low-resolution and …
K Zhang, C Zhang, S Li, D Zeng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …