Systems incorporating biometric technologies have become ubiquitous in personal,
commercial, and governmental identity management applications. Both cooperative (eg …

Face recognition (FR) systems have a growing effect on critical decision-making processes.
Recent works have shown that FR solutions show strong performance differences based on …

Over the past two decades, biometric recognition has exploded into a plethora of different
applications around the globe. This proliferation can be attributed to the high levels of …

The development of deep learning algorithms has extensively empowered humanity's task
automatization capacity. However, the huge improvement in the performance of these …

Generating random photo-realistic images has experienced tremendous growth during the
past few years due to the advances of the deep convolutional neural networks and …

Face age synthesis is the determination of how a person looks in the future or the past by
reconstructing their facial image. Determining the change in the human face over the years …

Synthetic data is emerging as a substitute for authentic data to solve ethical and legal
challenges in handling authentic face data. The current models can create real-looking face …

Child-face aging and rejuvenation have amassed considerable active research interest,
owing to their immense impact on a broad range of social and security applications, eg …

Facial age and gender recognition have vital applications as consumer profile prediction,
social media advertisement, human-computer interaction, image retrieval system …

In this work, we examine if current state-of-the-art deep learning face recognition systems
exhibit a negative bias (ie, poorer performance) for children when compared to the …