Owing to the rapid development of sensor technology, hyperspectral (HS) remote sensing
(RS) imaging has provided a significant amount of spatial and spectral information for the …

We propose to use pretraining to boost general image-to-image translation. Prior image-to-
image translation methods usually need dedicated architectural design and train individual …

Due to the absence of a desirable objective for low-light image enhancement, previous data-
driven methods may provide undesirable enhanced results including amplified noise …

Recommendation accuracy is a fundamental problem in the quality of the recommendation
system. In this article, we propose an efficient deep matrix factorization (EDMF) with review …

Under the nighttime haze environment, the quality of acquired images will be deteriorated
significantly owing to the influences of multiple adverse degradation factors. In this paper …

This paper comprehensively reviews the recent development of image deblurring, including
non-blind/blind, spatially invariant/variant deblurring techniques. Indeed, these techniques …

Image inpainting techniques have shown significant improvements by using deep neural
networks recently. However, most of them may either fail to reconstruct reasonable …

Abstract Generative Adversarial Networks (GANs) can generate realistic fake face images
that can easily fool human beings. On the contrary, a common Convolutional Neural …

Low-light image enhancement is challenging in that it needs to consider not only brightness
recovery but also complex issues like color distortion and noise, which usually hide in the …

In this paper, we propose a solution to transforming photos of real-world scenes into cartoon
style images, which is valuable and challenging in computer vision and computer graphics …