With the rapid development of deep learning techniques, deep convolutional neural
networks (DCNNs) have become more important for object detection. Compared with …

Object detection is a fundamental visual recognition problem in computer vision and has
been widely studied in the past decades. Visual object detection aims to find objects of …

Though tremendous strides have been made in uncontrolled face detection, accurate and
efficient face localisation in the wild remains an open challenge. This paper presents a …

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 …

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 and alignment in unconstrained environment are challenging due to various
poses, illuminations, and occlusions. Recent studies show that deep learning approaches …

Though tremendous strides have been made in object recognition, one of the remaining
open challenges is detecting small objects. We explore three aspects of the problem in the …

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 …