COVID-19, one of the biggest diseases of our age, continues to spread rapidly around the
world. Studies continue rapidly for the diagnosis and treatment of this disease. It is of great …

In recent years, segmentation details and computing efficiency have become more important
in medical image segmentation for clinical applications. In deep learning, UNet based on a …

Image generation technology is currently one of the popular directions in computer vision
research, especially regarding infrared imaging, bearing critical applications in the military …

In dynamic environments, several simultaneous localization and mapping (SLAM) systems
effectively utilize optical flow fields to distinguish dynamic from static feature points …

In recent years, many diseases can be diagnosed in a short time with the use of deep
learning models in the field of medicine. Most of the studies in this area focus on adult or …

Light field cameras can capture the radiance and direction of light rays by a single exposure,
providing a new perspective to photography and 3D geometry perception. However, existing …

Obtaining and representing the 4D light field is important for a number of computer vision
applications. Due to the high dimensionality, acquiring the light field directly is costly. One …

Among novel capture and visualization technologies, light field has made significant
progress in the current decade, bringing closer its emergence in everyday use cases. Unlike …

Monocular sensors depth prediction has received continuous attention in recent years
because of its wide application in autonomous driving, intelligent system navigation and …

The pavement is vulnerable to damage from natural disasters, accidents and other human
factors, resulting in the formation of cracks. Periodic pavement monitoring can facilitate …