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

Face aging is of great importance for cross-age recognition and entertainment related
applications. However, the lack of labeled faces of the same person across a long age range …

The significance of age estimation arises from its applications in various fields, such as
forensics, criminal investigation, and illegal immigration. Due to the increased importance of …

The two underlying requirements of face age progression, ie aging accuracy and identity
permanence, are not well studied in the literature. In this paper, we present a novel …

We address the problem of single photo age progression and regression—the prediction of
how a person might look in the future, or how they looked in the past. Most existing aging …

Since it is difficult to collect face images of the same subject over a long range of age span,
most existing face aging methods resort to unpaired datasets to learn age mappings …

Despite the remarkable progress in face recognition related technologies, reliably
recognizing faces across ages remains a big challenge. The appearance of a human face …

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 …

Despite the remarkable progress in face recognition related technologies, reliably
recognizing faces across ages still remains a big challenge. The appearance of a human …

Modeling the long-term facial aging process is extremely challenging due to the presence of
large and non-linear variations during the face development stages. In order to efficiently …