15 citations · 25 across the 10 of their papers we have counts for
7 papers · 1 filter
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…
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…
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…