9 papers
Coupled Degradation Modeling and Fusion: A VLM-Guided Degradation-Coupled Network for Degradation-Aware Infrared and Visible Image Fusion
Tianpei Zhang, Jufeng Zhao, Yiming Zhu +1
Existing Infrared and Visible Image Fusion (IVIF) methods typically assume high-quality inputs. However, when handing degraded images, these methods heavily rely on manually switch…
Dual-Domain Perspective on Degradation-Aware Fusion: A VLM-Guided Robust Infrared and Visible Image Fusion Framework
Tianpei Zhang, Jufeng Zhao, Yiming Zhu +1
Most existing infrared-visible image fusion (IVIF) methods assume high-quality inputs, and therefore struggle to handle dual-source degraded scenarios, typically requiring manual s…
SWAN: Synergistic Wavelet-Attention Network for Infrared Small Target Detection
Yuxin Jing, Jufeng Zhao, Tianpei Zhang +1
Infrared small target detection (IRSTD) is thus critical in both civilian and military applications. This study addresses the challenge of precisely IRSTD in complex backgrounds. R…
FSATFusion: Frequency-Spatial Attention Transformer for Infrared and Visible Image Fusion
Tianpei Zhang, Jufeng Zhao, Yiming Zhu +2
The infrared and visible images fusion (IVIF) is receiving increasing attention from both the research community and industry due to its excellent results in downstream application…
WIFE-Fusion:Wavelet-aware Intra-inter Frequency Enhancement for Multi-model Image Fusion
Tianpei Zhang, Jufeng Zhao, Yiming Zhu +1
Multimodal image fusion effectively aggregates information from diverse modalities, with fused images playing a crucial role in vision systems. However, existing methods often negl…
Selective Variable Convolution Meets Dynamic Content-Guided Attention for Infrared Small Target Detection
Yirui Chen, Yiming Zhu, Yuxin Jing +2
Infrared Small Target Detection (IRSTD) system aims to identify small targets in complex backgrounds. Due to the convolution operation in Convolutional Neural Networks (CNNs), appl…
Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead
Yuxin Jing, Yuchen Zheng, Jufeng Zhao +2
Infrared small target detection(IRSTD) is widely recognized as a challenging task due to the inherent limitations of infrared imaging, including low signal-to-noise ratios, lack of…
DDFusion:Degradation-Decoupled Fusion Framework for Robust Infrared and Visible Images Fusion
Tianpei Zhang, Jufeng Zhao, Yiming Zhu +2
Conventional infrared and visible image fusion(IVIF) methods often assume high-quality inputs, neglecting real-world degradations such as low-light and noise, which limits their pr…
Exploring State Space Model in Wavelet Domain: An Infrared and Visible Image Fusion Network via Wavelet Transform and State Space Model
Tianpei Zhang, Yiming Zhu, Jufeng Zhao +2
Deep learning techniques have revolutionized the infrared and visible image fusion (IVIF), showing remarkable efficacy on complex scenarios. However, current methods do not fully c…