This paper explores multi-task learning (MTL) for face recognition. First, we propose a multi-
task convolutional neural network (CNN) for face recognition, where identity classification is …

The problem of automatically matching composite sketches to facial photographs is
addressed in this paper. Previous research on sketch recognition focused on matching …

Illumination preprocessing is an effective and efficient approach in handling lighting
variations for face recognition. Despite much attention to face illumination preprocessing …

The emerging ITU-T H. 264 video coding standard has been developed to achieve
significant improvements over the existing standards in the compression performance …

There is growing interest in achieving age invariant face recognition due to its wide
applications in law enforcement. The challenge lies in that face aging is quite a complicated …

This article proposes a novel image-based method to transfer illumination from a reference
face image to a target face image through edge-preserving filters. According to our method …

This paper proposes a novel image-based framework to manipulate the illumination of
human face through adaptive layer decomposition. According to our framework, only a …

3D face modeling from 2D face images is of significant importance for face analysis,
animation and recognition. Previous research on this topic mainly focused on 3D face …

Exemplar-based face sketch synthesis methods usually meet the challenging problem that
input photos are captured in different lighting conditions from training photos. The critical …

Multitemporal airborne and satellite imagery data with frequent repeat coverage provide
great capability for change detection (CD). When comparing two images taken at different …