2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2025
MdaIF: Robust One-Stop Multi-Degradation-Aware Image Fusion with Language-Driven Semantics
Jing Li, Yifan Wang, Jiafeng Yan +2
Infrared and visible image fusion aims to integrate complementary multi-modal information into a single fused result. However, existing methods 1) fail to account for the degradati…
cs.CV2024
Dual-modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System
Jing Li, Lu Bai, Bin Yang +4
Infrared and visible image fusion (IVF) plays an important role in intelligent transportation system (ITS). The early works predominantly focus on boosting the visual appeal of the…
cs.CV2023★ 2 cited
Graph Representation Learning for Infrared and Visible Image Fusion
Jing Li, Lu Bai, Bin Yang +3
Infrared and visible image fusion aims to extract complementary features to synthesize a single fused image. Many methods employ convolutional neural networks (CNNs) to extract loc…