Learning robust and scale-aware monocular depth estimation (MDE) requires expensive data annotation efforts. Self-supervised approaches use unlabelled videos but, due to ambiguous photometric ...

Few-shot image generation aims to generate images of high quality and great diversity with limited data. However, it is difficult for modern GANs to avoid overfitting when trained on only a few images ...

Medical data security is facing great challenges in medical applications due to the open internet and the semi-trusted cloud. For the sake of privacy protection and the security of medical images, ...

When scoring the quality of JPEG images, the two main considerations for viewers are blocking artifacts and improper luminance changes, such as blur. In this letter, we first propose two measures to ...

A newly developed PET radiotracer has shown the ability to produce high-quality images of real-time brain inflammation, according to research presented at the Society of Nuclear Medicine and ...