Recent studies demonstrate that machine learning algorithms can discriminate based on
classes like race and gender. In this work, we present an approach to evaluate bias present …

Face analysis includes a variety of specific problems as face detection, person identification,
gender and ethnicity recognition, just to name the most common ones; in the last two …

Nowadays, the demand for soft-biometric-based devices is increasing rapidly because of the
huge use of electronics items such as mobiles, laptops and electronic gadgets in daily life …

Recent developments in deep convolutional neural networks (DCNNs) have shown
impressive performance improvements on various object detection/recognition problems …

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 …

Facial features are considered as one of the important personal characteristics. This can be
used in many applications, such as face recognition and age estimation. The value of these …

Without steering wheel and driver's seat, the self-driving cars will have new interior outlook
and spaces that can be used for enhanced infotainment services. For traveling people, self …

Machine Learning (ML) based predictive systems are increasingly used to support decisions
with a critical impact on individuals' lives such as college admission, job hiring, child …

Recently, deep neural networks have demonstrated excellent performances in recognizing
the age and gender on human face images. However, these models were applied in a black …

The past few years have witnessed a huge increase in the application of facial recognition,
detection, and analysis technology. However, face recognition systems remain the most …