62 citations · 137 across the 8 of their papers we have counts for
8 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…
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…
Position-Aware Relation Learning for RGB-Thermal Salient Object Detection
Heng Zhou, Chunna Tian, Zhenxi Zhang +4
RGB-Thermal salient object detection (SOD) combines two spectra to segment visually conspicuous regions in images. Most existing methods use boundary maps to learn the sharp bounda…
PixelGame: Infrared small target segmentation as a Nash equilibrium
Heng Zhou, Chunna Tian, Zhenxi Zhang +3
A key challenge of infrared small target segmentation (ISTS) is to balance false negative pixels (FNs) and false positive pixels (FPs). Traditional methods combine FNs and FPs into…
Enhancing and Dissecting Crowd Counting By Synthetic Data
Yi Hou, Chengyang Li, Yuheng Lu +4
In this article, we propose a simulated crowd counting dataset CrowdX, which has a large scale, accurate labeling, parameterized realization, and high fidelity. The experimental re…
BBA-net: A bi-branch attention network for crowd counting
Yi Hou, Chengyang Li, Fan Yang +5
In the field of crowd counting, the current mainstream CNN-based regression methods simply extract the density information of pedestrians without finding the position of each perso…