In the recent past, deep learning methods have demonstrated remarkable success for
supervised learning tasks in multiple domains including computer vision, natural language …

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

In this paper we propose a deep learning solution to age estimation from a single face
image without the use of facial landmarks and introduce the IMDB-WIKI dataset, the largest …

To address the non-stationary property of aging patterns, age estimation can be cast as an
ordinal regression problem. However, the processes of extracting features and learning a …

Understanding shadows from a single image consists of two types of task in previous
studies, containing shadow detection and shadow removal. In this paper, we present a multi …

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 …

Human age is considered an important biometric trait for human identification or search.
Recent research shows that the aging features deeply learned from large-scale data lead to …

Recent research has explored the possibility of extracting ancillary information from primary
biometric traits viz., face, fingerprints, hand geometry, and iris. This ancillary information …

Age estimation from facial images is typically cast as a nonlinear regression problem. The
main challenge of this problem is the facial feature space wrt ages is inhomogeneous, due …

Nonlinear regression has been extensively employed in many computer vision problems
(eg, crowd counting, age estimation, affective computing). Under the umbrella of deep …