We propose a deep convolutional neural network (CNN) for face detection leveraging on
facial attributes based supervision. We observe a phenomenon that part detectors emerge …

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

Abstract Deep Convolutional Neural Networks (CNNs) achieve substantial improvements in
face detection in the wild. Classical CNN-based face detection methods simply stack …

Face detection constitutes a key visual information analysis task in Machine Learning. The
rise of Big Data has resulted in the accumulation of a massive volume of visual data which …

Large pose variations remain to be a challenge that confronts real-word face detection. We
propose a new cascaded Convolutional Neural Network, dubbed the name Supervised …

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 …

Face detection has achieved great success using the region-based methods. In this report,
we propose a region-based face detector applying deep networks in a fully convolutional …

Most facial recognition and face analysis systems start with facial detection. Early
techniques, such as Haar cascades and histograms of directed gradients, mainly rely on …

This paper presents a method for face detection in the wild, which integrates a ConvNet and
a 3D mean face model in an end-to-end multi-task discriminative learning framework. The …

Face detection is to search all the possible regions for faces in images and locate the faces if
there are any. Many applications including face recognition, facial expression recognition …