In recent years, researchers have proposed many deep learning (DL) methods for various
tasks, and particularly face recognition (FR) made an enormous leap using these …

Deep learning, in particular the deep convolutional neural networks, has received
increasing interests in face recognition recently, and a number of deep learning methods …

Depth cameras allow to set up reliable solutions for people monitoring and behavior
understanding, especially when unstable or poor illumination conditions make unusable …

The detection of human emotions has applicability in various domains such as assisted
living, health monitoring, domestic appliance control, crowd behavior tracking real time, and …

Due to the gap between sensing patterns of different domains and a lack of sufficient training
sample, heterogeneous face recognition (HFR) is still a challenging issue in the computer …

The ease with which deep learning can generate fake images has created a pressing need
for a robust platform to distinguish between real and fake imagery. However, existing …

In this paper, we propose a bimodal 3D facial recognition method aimed at increasing the
recognition rate and reducing the effect of illumination, pose, expression, ages, and …

In this paper, we propose a novel method called fine tuning dual streams deep network
(FTDSDN) with multi-scale pyramid decision (MsPD) for solving heterogeneous face …

The study addresses the fundamental challenges encountered in 3D face reconstruction,
including the inadequacy of dedicated research initiatives, the complexity of hyperparameter …

Recognizing or retrieve a face based on its sketch-photo similarity has important
applications in law enforcement and public security. While many existing methods focus on …