In the recent past, deep learning methods have demonstrated remarkable success for
supervised learning tasks in multiple domains including computer vision, natural language …

Facial aging adversely impacts performance of face recognition and face verification and
authentication using facial features. This stochastic personalized inevitable process poses …

In this paper we propose a deep learning solution to age estimation from a single face
image without the use of facial landmarks and introduce the IMDB-WIKI dataset, the largest …

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 …

Fairness-aware learning is increasingly important in data mining. Discrimination prevention
aims to prevent discrimination in the training data before it is used to conduct predictive …

Automatic age and gender classification has been widely used in a large amount of
applications, particularly in human-computer interaction, biometrics, visual surveillance …

Demographic estimation entails automatic estimation of age, gender and race of a person
from his face image, which has many potential applications ranging from forensics to social …

One of the main difficulties in facial age estimation is that the learning algorithms cannot
expect sufficient and complete training data. Fortunately, the faces at close ages look quite …

Age estimation from facial images is typically cast as a nonlinear regression problem. The
main challenge of this problem is the facial feature space wrt ages is inhomogeneous, due …