Human Pose Estimation (HPE) is the task that aims to predict the location of human joints
from images and videos. This task is used in many applications, such as sports analysis and …

With the increasing demand for human-computer interaction and health monitoring, human
behavior recognition with device-free patterns has attracted extensive attention. The …

In this paper, the proposed work implements and tests the computer vision applications to
perform the skill and emotion assessment of children with Autism Spectrum Disorder (ASD) …

Detecting and repairing road defects is crucial for road safety, vehicle maintenance, and
enhancing tourism on well-maintained roads. However, monitoring all roads by vehicle …

In accordance with the development of new technologies, e-commerce is revolutionizing the
world, especially in the COVID-19 pandemic. It becomes a major part of the industry in …

Abstract We introduce Neural Puppeteer, an efficient neural rendering pipeline for
articulated shapes. By inverse rendering, we can predict 3D keypoints from multi-view 2D …

This research paper presents the development of computer vision-enabled augmented
reality games based on action detection to increase motivation for sports. With the …

Current techniques for multi-pose human face matching yield suboptimal outcomes because
of the intricate nature of pose equalization and face rotation. Deep learning models, such as …

We present a novel approach to vision-based localization of electric city buses for assisted
docking to a charging station. The method assumes that the charging station is a known …

General movement and pose assessment of infants is crucial for the early detection of
cerebral palsy (CP). Nevertheless, most human pose estimation methods, in 2D or 3D, focus …