Atherosclerosis, a chronic inflammatory condition primarily affecting large and medium
arteries, is the main cause of cardiovascular diseases. Macrophages are key mediators of …

Video-based 3D human pose estimation is an important yet challenging task for many
human-involved pattern recognition systems. Existing deep learning-based 3D human pose …

Fractal image compression (FIC) is one of the most widely approved image compression
approaches for its high compression ratio and quality of retrieved images. However, FIC suffers …

Automatically estimating 3D human poses in video and inferring their meanings play an
essential role in many human-centered automation systems. Existing researches made …

Measuring object displacement with subpixel-level accuracy is attracting increasing
attention in numerous computer-vision-based applications, because of its high potential in …

Detecting straight lines in video plays a fundamental role in camera-based industrial
automation. With the increasing demands on production efficiency, detection speed has become …

Heavy computation is a bottleneck limiting deep-learning-based feature matching algorithms
to be applied in many real-time applications. However, existing lightweight networks …

Distributed scheduling with assembly machines has been an attractive research field in
sustainable supply chains and multi-factory manufacturing systems. This paper investigates a …

3D human motion prediction, which attempts to foresee the behaviors of human, is an issue
of great significance in computer vision. Attention-based neural networks and graph …

Extrachromosomal DNA (ecDNA) drives the evolution of cancer cells. However, the functional
significance of ecDNA and the molecular components involved in its replication and …