Spectral super-resolution (sSR) is a very important technique to obtain hyperspectral images
from only RGB images, which can effectively overcome the high acquisition cost and low …

Because thermal infrared (TIR) images are not affected by light and foggy environments,
which are widely used in various night traffic scenarios. Especially, thermal infrared images …

The colorization of grayscale images can, nowadays, take advantage of recent progress and
the automation of deep-learning techniques. From the media industry to medical or …

Automatically translating chromaticity-free thermal infrared (TIR) images into realistic color
visible (CV) images is of great significance for autonomous vehicles, emergency rescue …

Multimedia recommendation involves personalized ranking tasks, where multimedia content
is usually represented using a generic encoder. However, these generic representations …

Choosing colors is a pivotal but challenging component of graphic design. The paper
presents an intelligent interaction technique supporting designers' creativity in color design …

Deep learning-based classification algorithms are promising in gesture recognition with soft
e-skin patches. However, the reported algorithms usually require large amount of training …

Deep generative models are effective in style transfer. Previous methods learn one or
several specific artist-style from a collection of artworks. These methods not only …

Colorization is a captivating research area within the realm of computer vision. Conventional
methods often rely on object-based strategies, necessitating access to extensive image …

Various methods based on deep neural networks have been proposed to generate color
images from gray-scale images, meanwhile, Generative adversarial networks (GANs) are …