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 analysis includes a variety of specific problems as face detection, person identification,
gender and ethnicity recognition, just to name the most common ones; in the last two …

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 …

Abstract We introduce the Single Stage Headless (SSH) face detector. Unlike two stage
proposal-classification detectors, SSH detects faces in a single stage directly from the early …

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

In real-world face detection, large visual variations, such as those due to pose, expression,
and lighting, demand an advanced discriminative model to accurately differentiate faces …

In this paper, we propose a novel deep convolutional network (DCN) that achieves
outstanding performance on FDDB, PASCAL Face, and AFW. Specifically, our method …

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 …

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 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 …