The face and gesture recognition network (FG‐NET) ageing database was released in 2004
in an attempt to support research activities aimed at understanding the changes in facial …

Face recognition has received significant attention because of its numerous applications in
access control, law enforcement, security, surveillance, Internet communication and …

In this paper, we propose a very simple deep learning network for image classification that is
based on very basic data processing components: 1) cascaded principal component …

This paper presents a new discriminative deep metric learning (DDML) method for face
verification in the wild. Different from existing metric learning-based face verification …

Binary feature descriptors such as local binary patterns (LBP) and its variations have been
widely used in many face recognition systems due to their excellent robustness and strong …

This paper presents a new discriminative deep metric learning (DDML) method for face and
kinship verification in wild conditions. While metric learning has achieved reasonably good …

Kinship verification from facial images is an interesting and challenging problem in computer
vision, and there are very limited attempts on tackle this problem in the literature. In this …

In this paper, we propose a context-aware local binary feature learning (CA-LBFL) method
for face recognition. Unlike existing learning-based local face descriptors such as …

In this paper, we propose a multi-manifold deep metric learning (MMDML) method for image
set classification, which aims to recognize an object of interest from a set of image instances …

In this paper, we propose a new discriminative multimetric learning method for kinship
verification via facial image analysis. Given each face image, we first extract multiple …