15 citations · 25 across the 11 of their papers we have counts for
11 papers
Empowering Semantic-Sensitive Underwater Image Enhancement with VLM
Guodong Fan, Shengning Zhou, Genji Yuan +3
In recent years, learning-based underwater image enhancement (UIE) techniques have rapidly evolved. However, distribution shifts between high-quality enhanced outputs and natural i…
DFPF-Net: Dynamically Focused Progressive Fusion Network for Remote Sensing Change Detection
Chengming Wang, Peng Duan, Jinjiang Li
Change detection (CD) has extensive applications and is a crucial method for identifying and localizing target changes. In recent years, various CD methods represented by convoluti…
Wavelet-Guided Dual-Frequency Encoding for Remote Sensing Change Detection
Xiaoyang Zhang, Guodong Fan, Guang-Yong Chen +4
Change detection in remote sensing imagery plays a vital role in various engineering applications, such as natural disaster monitoring, urban expansion tracking, and infrastructure…
Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation
Junyi Wang, Jinjiang Li, Guodong Fan +3
In the semantic segmentation of remote sensing images, acquiring complete ground objects is critical for achieving precise analysis. However, this task is severely hindered by two…
MGCR-Net:Multimodal Graph-Conditioned Vision-Language Reconstruction Network for Remote Sensing Change Detection
Chengming Wang, Guodong Fan, Jinjiang Li +2
With the advancement of remote sensing satellite technology and the rapid progress of deep learning, remote sensing change detection (RSCD) has become a key technique for regional…
CGCCE-Net:Change-Guided Cross Correlation Enhancement Network for Remote Sensing Building Change Detection
ChengMing Wang
Change detection encompasses a variety of task types, and the goal of building change detection (BCD) tasks is to accurately locate buildings and distinguish changed building areas…
SGDFuse: SAM-Guided Diffusion Model for High-Fidelity Infrared and Visible Image Fusion
Xiaoyang Zhang, jinjiang Li, Guodong Fan +4
Infrared and visible image fusion (IVIF) is essential for integrating thermal saliency with textural details to support downstream perception. However, most existing approaches suf…
SFFNet: A Wavelet-Based Spatial and Frequency Domain Fusion Network for Remote Sensing Segmentation
Yunsong Yang, Genji Yuan, Jinjiang Li
In order to fully utilize spatial information for segmentation and address the challenge of handling areas with significant grayscale variations in remote sensing segmentation, we…
MFDS-Net: Multi-Scale Feature Depth-Supervised Network for Remote Sensing Change Detection with Global Semantic and Detail Information
Zhenyang Huang, Zhaojin Fu, Song Jintao +2
Change detection as an interdisciplinary discipline in the field of computer vision and remote sensing at present has been receiving extensive attention and research. Due to the ra…
DmADs-Net: Dense multiscale attention and depth-supervised network for medical image segmentation
Zhaojin Fu, Zheng Chen, Jinjiang Li +1
Deep learning has made important contributions to the development of medical image segmentation. Convolutional neural networks, as a crucial branch, have attracted strong attention…
Underwater Variable Zoom: Depth-Guided Perception Network for Underwater Image Enhancement
Zhixiong Huang, Xinying Wang, Chengpei Xu +2
Underwater scenes intrinsically involve degradation problems owing to heterogeneous ocean elements. Prevailing underwater image enhancement (UIE) methods stick to straightforward f…