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

Deep learning technology has enabled successful modeling of complex facial features when
high-quality images are available. Nonetheless, accurate modeling and recognition of …

This paper studies the impact of lightweight face models on real applications. Lightweight
architectures proposed for face recognition are analyzed and evaluated on different …

Face detection is one of the essential tasks widely studied in the field of Computer Vision.
Several authors have developed different techniques to improve the face detection in …

In this paper, we analyze some of our real-world deployment of face recognition (FR)
systems for various applications and discuss the gaps between expectations of the user and …

The current recommendation for selecting fillers for an eyewitness identification lineup is to
use the eyewitness' description of the culprit (match-to-description). I argue that this …

Smile is one of the key elements in identifying emotions and present state of mind of an
individual. In this work, we propose a cluster of approaches to classify posed and …

In the light of the human studies that report a strong correlation between head circumference
and body size, we propose a new research problem: head-body matching. Given an image …

The use of video cameras for security reasons has increased in recent times. Identify a
person with automatic face detection systems have greater importance today; but the low …

Facial Expression Recognition (FER) is one of the most popular research area in Human
Machine Interaction and computer vision based applications. In recent years, it is attracting …