With the transition of facial expression recognition (FER) from laboratory-controlled to
challenging in-the-wild conditions and the recent success of deep learning techniques in …

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 …

Cross-entropy loss together with softmax is arguably one of the most common used
supervision components in convolutional neural networks (CNNs). Despite its simplicity …

Over the past few years, there has been an increased interest in automatic facial behavior
analysis and understanding. We present OpenFace-an open source tool intended for …

Face alignment, which fits a face model to an image and extracts the semantic meanings of
facial pixels, has been an important topic in CV community. However, most algorithms are …

Computer Vision has recently witnessed great research advance towards automatic facial
points detection. Numerous methodologies have been proposed during the last few years …

Guidelines: 1. Propose an eye-blink detection algorithm that uses facial landmarks as an
input. 2. Evaluate the proposed detector quantitatively based on the ground-truth dataset …

Facial expression recognition (FER) is an emerging and multifaceted research topic.
Applications of FER in healthcare, security, safe driving, and so forth have contributed to the …

Abstract The Visual Object Tracking challenge 2015, VOT2015, aims at comparing short-
term single-object visual trackers that do not apply pre-learned models of object …

The Audio/Visual Emotion Challenge and Workshop (AVEC 2017)" Real-life depression,
and affect" will be the seventh competition event aimed at comparison of multimedia …