Single-Sample Face Recognition (SSFR) is a computer vision challenge. In this scenario,
there is only one example from each individual on which to train the system, making it …

Face Recognition (FR) systems are still facing significant challenges when different image
issues, such as variation of illumination, pose, expression, and occlusion, are present in …

Techniques for facial age progression and regression have many applications and a myriad
of challenges. As such, automatic aged or de-aged face generation has become an …

Fingerprint-based recognition is widely deployed in different domains. However, current
recognition systems are vulnerable to presentation attack. Presentation attack utilizes an …

The key challenge of face recognition is to develop an effective feature representations for
reducing intrapersonal variations while enlarging interpersonal differences. In this paper, we …

To improve the efficiency of traditional face recognition techniques, this paper proposes a
novel face recognition algorithm called Image Gradient Feature Compensation (IGFC) …

We propose an improvement on fully convolutional one-stage object detection to improve
the overall performance of the model. Firstly, we propose two feature pyramid networks with …

Face aging is one of the most interesting style transfer ideas due to the extraordinary
development in image synthesis succeeded by deep learning models that is the generative …

Hyperspectral images (HSI) possess abundant spectral bands and rich spatial information,
which can be utilized to discriminate different types of land cover. However, the high …

Single-sample face recognition remains a significant challenge due to the difficulty in
extracting discriminative features using only one facial image per individual in practical …