Recent studies have demonstrated that most commercial facial analysis systems are biased
against certain categories of race, ethnicity, culture, age and gender. The bias can be traced …

Existing public face image datasets are strongly biased toward Caucasian faces, and other
races (eg, Latino) are significantly underrepresented. The models trained from such datasets …

The field of biometrics research encompasses the need to associate an identity to an
individual based on the persons physiological or behaviour traits. While the use of intrusive …

Continual lifelong learning is essential to many applications. In this paper, we propose a
simple but effective approach to continual deep learning. Our approach leverages the …

Fairness in deep learning has attracted tremendous attention recently, as deep learning is
increasingly being used in high-stake decision making applications that affect individual …

We present a multi-purpose algorithm for simultaneous face detection, face alignment, pose
estimation, gender recognition, smile detection, age estimation and face recognition using a …

Face attribute estimation has many potential applications in video surveillance, face
retrieval, and social media. While a number of methods have been proposed for face …

Age estimation has broad application prospects of many fields, such as video surveillance,
social networking, and human-computer interaction. However, many of the published age …

This paper summarizes the ChaLearn Looking at People 2016 First Impressions challenge
data and results obtained by the teams in the first round of the competition. The goal of the …

This work explores joint classification of gender, age and race. Specifically, we here propose
a Multi-Task Convolution Neural Network (MTCNN) employing joint dynamic loss weight …