Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …

In the recent past, deep learning methods have demonstrated remarkable success for
supervised learning tasks in multiple domains including computer vision, natural language …

As science attempts to close the gap between man and machine by building systems
capable of learning, we must embrace the importance of the unknown. The ability to …

Open Set Recognition (OSR) is about dealing with unknown situations that were not learned
by the models during training. In this paper, we provide a survey of existing works about …

Classification of datasets with imbalanced sample distributions has always been a
challenge. In general, a popular approach for enhancing classification performance is the …

Following the general trend, the amount of digital information in the stored electronic health
records (EHRs) had an explosion in the last decade. EHRs are not anymore used, as in the …

Spoofing detection is a challenging task in biometric systems, when differentiating
illegitimate users from genuine ones. Although iris scans are far more inclusive than …

We describe InterFace, a software package for research in face recognition. The package
supports image war**, resha**, averaging of multiple face images, and morphing …

This paper proposes a novel method called local-gravity-face (LG-face) for illumination-
invariant and heterogeneous face recognition (HFR). LG-face employs a concept called the …

Computer vision systems open a new challenge to recognize human faces under varied
poses in similar capacity and capability as human-beings perform naturally. For surveillance …