Due to object detection's close relationship with video analysis and image understanding, it
has attracted much research attention in recent years. Traditional object detection methods …

With the marvelous increase in video and image database there is an incredible need of
automatic understanding and examination of information by the intelligent systems as …

This paper presents a real-time face detector, named Single Shot Scale-invariant Face
Detector (S3FD), which performs superiorly on various scales of faces with a single deep …

Face detection has been well studied for many years and one of remaining challenges is to
detect small, blurred and partially occluded faces in uncontrolled environment. This paper …

Face detection is one of the most studied topics in the computer vision community. Much of
the progresses have been made by the availability of face detection benchmark datasets …

In this paper, we present a new face detection scheme using deep learning and achieve the
state-of-the-art detection performance on the well-known FDDB face detection benchmark …

We present an algorithm for simultaneous face detection, landmarks localization, pose
estimation and gender recognition using deep convolutional neural networks (CNN). The …

Detecting masked faces (ie, faces with occlusions) is a challenging task due to two main
reasons: 1) the absence of large datasets of masked faces, and 2) the absence of facial cues …

We present a multi-purpose algorithm for simultaneous face detection, face alignment, pose
estimation, gender recognition, smile detection, age estimation and face recognition using a …

Although tremendous strides have been made in face detection, one of the remaining open
challenges is to achieve real-time speed on the CPU as well as maintain high performance …