5 papers
TSJNet: A Multi-modality Target and Semantic Awareness Joint-driven Image Fusion Network
Yuchan Jie, Yushen Xu, Xiaosong Li +3
This study aims to address the problem of incomplete information in unimodal images for semantic segmentation and object detection tasks. Existing multimodal fusion methods suffer…
FlexiD-Fuse: Flexible number of inputs multi-modal medical image fusion based on diffusion model
Yushen Xu, Xiaosong Li, Yuchun Wang +3
Different modalities of medical images provide unique physiological and anatomical information for diseases. Multi-modal medical image fusion integrates useful information from dif…
FS-Diff: Semantic guidance and clarity-aware simultaneous multimodal image fusion and super-resolution
Yuchan Jie, Yushen Xu, Xiaosong Li +3
As an influential information fusion and low-level vision technique, image fusion integrates complementary information from source images to yield an informative fused image. A few…
MambaTrans: Multimodal Fusion Image Translation via Large Language Model Priors for Downstream Visual Tasks
Yushen Xu, Xiaosong Li, Zhenyu Kuang +3
The goal of multimodal image fusion is to integrate complementary information from infrared and visible images, generating multimodal fused images for downstream tasks. Existing do…
Simultaneous Tri-Modal Medical Image Fusion and Super-Resolution using Conditional Diffusion Model
Yushen Xu, Xiaosong Li, Yuchan Jie +1
In clinical practice, tri-modal medical image fusion, compared to the existing dual-modal technique, can provide a more comprehensive view of the lesions, aiding physicians in eval…