Person re-identification (Re-ID) technology plays an increasingly crucial role in intelligent
surveillance systems. Widespread occlusion significantly impacts the performance of person …

Abstract Three-dimensional (3D) object recognition is widely used in automated driving,
medical image analysis, virtual/augmented reality, artificial intelligence robots, and other …

In the past decade, deep neural networks, particularly convolutional neural networks, have
revolutionised computer vision. However, all deep learning models may require a large …

Image inpainting aims to restore the pixel features of damaged parts in incomplete image
and plays a key role in many computer vision tasks. Image inpainting technology based on …

Three-dimensional models are widely used in the fields of multimedia, computer graphics,
virtual reality, entertainment, design, and manufacturing because of the rich information that …

As a method of function approximation, polynomial fitting has always been the main
research hotspot in mathematical modeling. In many disciplines such as computer, physics …

Semantic segmentation is referred to as a process of linking each pixel in an image to a
class label. With this pragmatic technique, it is possible to recognize different objects in an …

3D face reconstruction algorithms from images and videos are applied to many fields, from
plastic surgery to the entertainment sector, thanks to their advantageous features. However …

With the rapid development of information technology and communication, digital music has
grown and exploded. Regarding how to quickly and accurately retrieve the music that users …

Human pose estimation refers to accurately estimating the position of the human body from
a single RGB image and detecting the location of the body. It serves as the basis for several …