Neural Style Transfer based on Convolutional Neural Networks (CNN) aims to synthesize a new image that retains the high-level structure of a content image, rendered in the low-level texture of a style image. This is achieved by constraining the new ...

In this paper, we address the challenging problem of vehicle license plate image super-resolution. Different from existing image super-resolution approaches only resorted to one single image, we propose to leverage complementary information from multiple ...

Phantom Limb Pain or simply, Phantom Pain is a severe chronic pain that is experienced as a vivid sensation of the pain in missing body part. Epidemiological studies obtained from a large samples indicate that the short-term incidence rate of the ...

Future frame prediction for video sequences is a challenging task and worth exploring problem in computer vision. Existing methods often learn motion information for the entire image to predict next frames. However, different objects in the same scene ...

High Dynamic Ranges (HDR) displays can show images with higher color contrast levels and peak luminosities than the commonly used Low Dynamic Range (LDR) displays. Although HDR displays are still expensive, they are reaching the consumer market in the ...

With advances of recent technologies, augmented reality systems and autonomous vehicles gained a lot of interest from academics and industry. Both these areas rely on scene geometry understanding, which usually requires depth map estimation. However, in ...

Projecting stereoscopic content onto large general outdoor surfaces, say building facades, presents many challenges to be overcome, particularly when using red-cyan anaglyph stereo representation, so that as accurate as possible colour and depth ...