These days, face recognition systems are widely being employed in various daily
applications such as smart phone unlocking, tracking school attendance, and secure online …

Despite active research and significant progress in the last 30 years, eye detection and
tracking remains challenging due to the individuality of eyes, occlusion, variability in scale …

We propose real-time, six degrees of freedom (6DoF), 3D face pose estimation without face
detection or landmark localization. We observe that estimating the 6DoF rigid transformation …

Understanding shadows from a single image consists of two types of task in previous
studies, containing shadow detection and shadow removal. In this paper, we present a multi …

To address the non-stationary property of aging patterns, age estimation can be cast as an
ordinal regression problem. However, the processes of extracting features and learning a …

Automatic age and gender classification has become relevant to an increasing amount of
applications, particularly since the rise of social platforms and social media. Nevertheless …

We present a method for training a regression network from image pixels to 3D morphable
model coordinates using only unlabeled photographs. The training loss is based on features …

We propose a new approach for estimation of the positions of facial keypoints with three-
level carefully designed convolutional networks. At each level, the outputs of multiple …

In this article, we provide a detailed survey of 3D Morphable Face Models over the 20 years
since they were first proposed. The challenges in building and applying these models …

We present a very efficient, highly accurate,“Explicit Shape Regression” approach for face
alignment. Unlike previous regression-based approaches, we directly learn a vectorial …