2 citations · 2 across the 4 of their papers we have counts for
5 papers
Remote Sensing Image Dehazing: A Systematic Review of Progress, Challenges, and Prospects
Heng Zhou, Xiaoxiong Liu, Zhenxi Zhang +6
Remote sensing images (RSIs) are frequently degraded by haze, fog, and thin clouds, which obscure surface reflectance and hinder downstream applications. This study presents the fi…
Multi-scale Frequency Enhancement Network for Blind Image Deblurring
Yawen Xiang, Heng Zhou, Chengyang Li +2
Image deblurring is an essential image preprocessing technique, aiming to recover clear and detailed images form blurry ones. However, existing algorithms often fail to effectively…
An Evidential-enhanced Tri-Branch Consistency Learning Method for Semi-supervised Medical Image Segmentation
Zhenxi Zhang, Heng Zhou, Xiaoran Shi +3
Semi-supervised segmentation presents a promising approach for large-scale medical image analysis, effectively reducing annotation burdens while achieving comparable performance. T…
Deep learning in motion deblurring: current status, benchmarks and future prospects
Yawen Xiang, Heng Zhou, Chengyang Li +3
Motion deblurring is one of the fundamental problems of computer vision and has received continuous attention. The variability in blur, both within and across images, imposes limit…
You Do Not Need Additional Priors in Camouflage Object Detection
Yuchen Dong, Heng Zhou, Chengyang Li +3
Camouflage object detection (COD) poses a significant challenge due to the high resemblance between camouflaged objects and their surroundings. Although current deep learning metho…