19 citations · 21 across the 5 of their papers we have counts for
4 papers · 1 filter
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…
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…