Face detection has been one of the most studied topics in the computer vision literature. In
this technical report, we survey the recent advances in face detection for the past decade …

Face recognition (FR) is one of the most popular and long-standing topics in computer
vision. With the recent development of deep learning techniques and large-scale datasets …

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 …

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 …

This paper presents a highly efficient, very accurate regression approach for face alignment.
Our approach has two novel components: a set of local binary features, and a locality …

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 …

Inspired by Weber's Law, this paper proposes a simple, yet very powerful and robust local
descriptor, called the Weber Local Descriptor (WLD). It is based on the fact that human …

Face detection is one of the most studied topics in computer vision literature, not only
because of the challenging nature of face as an object, but also due to the countless …

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 …

Face detection has drawn much attention in recent decades since the seminal work by Viola
and Jones. While many subsequences have improved the work with more powerful learning …