Existing RGB-D saliency detection models do not explicitly encourage RGB and depth to
achieve effective multi-modal learning. In this paper, we introduce a novel multi-stage …

This paper addresses the problems of feature representation of skeleton joints and the
modeling of temporal dynamics to recognize human actions. Traditional methods generally …

In general, owing to the benefits obtained from original information, full-reference image
quality assessment (FR-IQA) achieves relatively higher prediction accuracy than no …

Body joints, directly obtained from a pose estimation model, have proven effective for action
recognition. Existing works focus on analyzing the dynamics of human joints. However …

Visual discomfort is a significant obstacle to the wider use of stereoscopic 3D displays. Many
studies have identified the most common causes of discomfort, and a rich body of literature …

Incorporating spatio-temporal human visual perception into video quality assessment (VQA)
remains a formidable issue. Previous statistical or computational models of spatio-temporal …

We develop a new model for no-reference 3D stereopair quality assessment that considers
the impact of binocular fusion, rivalry, suppression, and a reverse saliency effect on the …

In an increasingly complex military operating environment, next generation wargaming
platforms can reduce risk, decrease operating costs, and improve overall outcomes. Novel …

Predicting a 3D pose directly from a monocular image is a challenging problem. Most pose
estimation methods proposed in recent years have shown 'quantitatively'good results (below …

Virtual training has received a considerable amount of research attention in recent years
due to its potential for use in a variety of applications, such as virtual military training, virtual …