Automated computer-vision-based defect detection has received much attention with the
increasing surface quality assurance demands for the industrial manufacturing of flat steels …

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 …

Since surface defect detection is significant to ensure the utility, integrality, and security of
productions, and it has become a key issue to control the quality of industrial products, which …

In this paper, we present an algorithm for unconstrained face verification based on deep
convolutional features and evaluate it on the newly released IARPA Janus Benchmark A …

To perform unconstrained face recognition robust to variations in illumination, pose and
expression, this paper presents a new scheme to extract “Multi-Directional Multi-Level Dual …

Spontaneous facial micro-expression analysis has become an active task for recognizing
suppressed and involuntary facial expressions shown on the face of humans. Recently …

Local binary patterns (LBP) are one of the most important image representations. However,
LBPs have not been as successful as other methods in palmprint recognition. Originally, the …

We introduce our method and system for face recognition using multiple pose-aware deep
learning models. In our representation, a face image is processed by several pose-specific …

Classifying texture images, especially those with significant rotation, illumination, scale, and
viewpoint changes, is a fundamental and challenging problem in computer vision. This …