Abstract The goal of Facial Kinship Verification (FKV) is to automatically determine whether
two individuals have a kin relationship or not from their given facial images or videos. It is an …

Kinship recognition is a challenging problem with many practical applications. With much
progress and milestones having been reached after ten years, we are now able to survey …

Deep learning has catalysed progress in tasks such as face recognition and analysis,
leading to a quick integration of technological solutions in multiple layers of our society …

Abstract Automatic Age Estimation (AAE) has attracted attention due to the wide variety of
possible applications. However, it is a challenging task because of the large variation of …

Photorealistic digital re-aging of faces in video is becoming increasingly common in
entertainment and advertising. But the predominant 2D painting workflow often requires …

Deep learning-based methods have pushed the limits of the state-of-the-art in face analysis.
However, despite their success, these models have raised concerns regarding their bias …

Conditional image generation lies at the heart of computer vision and conditional generative
adversarial networks (cGAN) have recently become the method of choice for this task, owing …

In this survey, kinship verification is defined as the automatic process of verifying whether
two or more persons are blood relatives (kin) by analyzing images of their faces. Kinship …

Estimating blood relationships from facial images is a complex task in computer vision due
to subtle differences. Existing models are facing difficulties in accurately assessing kin …

Approaches for kinship verification often rely on cosine distances between face identification
features. However, due to gender bias inherent in these features, it is hard to reliably predict …