The locations of the fiducial facial landmark points around facial components and facial
contour capture the rigid and non-rigid facial deformations due to head movements and …

Facial expressions are an important way through which humans interact socially. Building a
system capable of automatically recognizing facial expressions from images and video has …

Tremendous progress has been made on face detection in recent years using convolutional
neural networks. While many face detectors use designs designated for the detection of …

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 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 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 …

Face detection is a mature problem in computer vision. While diverse high performing face
detectors have been proposed in the past, we present two surprising new top performance …

This study develops a framework for the detection and analysis of stress/anxiety emotional
states through video-recorded facial cues. A thorough experimental protocol was …

Robust face detection in the wild is one of the ultimate components to support various facial
related problems, ie, unconstrained face recognition, facial periocular recognition, facial …

We propose a method to address challenges in unconstrained face detection, such as
arbitrary pose variations and occlusions. First, a new image feature called Normalized Pixel …