Human emotional state is a physiological or physical process that is activated either
intentionally or unintentionally by the perception of the stimulus. To fetch the information …

In recent years, due to its great economic and social potential, the recognition of facial
expressions linked to emotions has become one of the most flourishing applications in the …

Urban visual localization is the process of determining the pose (position and attitude) of the
imaging sensor (or platform) with the help of existing geo-referenced data. This task is …

Most of the existing studies have focused on the expression recognition of micro-
expressions, while little research has been done on how to recognize the action units of …

In this paper, we propose a dynamic three-dimensional facial expression recognition using
low-rank sparse codes pooled from automatically detected regions of interests. Low-rank …

Triplet loss is widely used to detect learned descriptors and achieves promising
performance. However, triplet loss fails to fully consider the influence of adjacent descriptors …

A novel approach is introduced for the rapid and accurate correlation analysis of nonlinear
properties in Transition Metal (TM) clusters utilizing the Deep Leave-One-Out Cross …

In hazy environments, the computer vision system may require to perform object detection.
The performance of the object detection methods degrades in a hazy environment. To …

Face detection technology has been a hot topic in the past few decades. It has been
maturely applied to many practical areas. Therefore, introducing an outperforming model is …

A new approach for the rapid and accurate correlation study of the nonlinear properties in
the Transition Metal (TM) clusters based on the Deep Leave-One-Out Cross-Validation (LOO …