3 citations · 3 across the 4 of their papers we have counts for
4 papers
Perceptually Regularized Diffusion Model for Image Super-Resolution
Chuxiangbo Wang, Pavithra Venkatachalapathy, Ying Liang +4
Image super-resolution, which aims to reconstruct high-resolution images from their low-resolution observations, is fundamental to medical imaging, remote sensing, surveillance, mi…
Robust Dual-Graph Regularized Moving Object Detection
Jing Qin, Ruilong Shen, Ruihan Zhu +1
Moving object detection and its associated background-foreground separation have been widely used in a lot of applications, including computer vision, transportation and surveillan…
Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution
Guangyuan Li, Jun Lv, Yapeng Tian +4
Magnetic resonance imaging (MRI) can present multi-contrast images of the same anatomical structures, enabling multi-contrast super-resolution (SR) techniques. Compared with SR rec…
Regularized Kaczmarz Algorithms for Tensor Recovery
Xuemei Chen, Jing Qin
Tensor recovery has recently arisen in a lot of application fields, such as transportation, medical imaging and remote sensing. Under the assumption that signals possess sparse and…