436 citations · 448 across the 10 of their papers we have counts for
10 papers
OCCO: LVM-guided Infrared and Visible Image Fusion Framework based on Object-aware and Contextual COntrastive Learning
Hui Li, Congcong Bian, Zeyang Zhang +3
Image fusion is a crucial technique in the field of computer vision, and its goal is to generate high-quality fused images and improve the performance of downstream tasks. However,…
CrossFuse: A Novel Cross Attention Mechanism based Infrared and Visible Image Fusion Approach
Hui Li, Xiao-Jun Wu
Multimodal visual information fusion aims to integrate the multi-sensor data into a single image which contains more complementary information and less redundant features. However…
CoMoFusion: Fast and High-quality Fusion of Infrared and Visible Image with Consistency Model
Zhiming Meng, Hui Li, Zeyang Zhang +4
Generative models are widely utilized to model the distribution of fused images in the field of infrared and visible image fusion. However, current generative models based fusion m…
Conti-Fuse: A Novel Continuous Decomposition-based Fusion Framework for Infrared and Visible Images
Hui Li, Haolong Ma, Chunyang Cheng +3
For better explore the relations of inter-modal and inner-modal, even in deep learning fusion framework, the concept of decomposition plays a crucial role. However, the previous de…
S4Fusion: Saliency-aware Selective State Space Model for Infrared Visible Image Fusion
Haolong Ma, Hui Li, Chunyang Cheng +3
As one of the tasks in Image Fusion, Infrared and Visible Image Fusion aims to integrate complementary information captured by sensors of different modalities into a single image.…
TextFusion: Unveiling the Power of Textual Semantics for Controllable Image Fusion
Chunyang Cheng, Tianyang Xu, Xiao-Jun Wu +4
Advanced image fusion methods are devoted to generating the fusion results by aggregating the complementary information conveyed by the source images. However, the difference in th…
Riemannian Self-Attention Mechanism for SPD Networks
Rui Wang, Xiao-Jun Wu, Hui Li +1
Symmetric positive definite (SPD) matrix has been demonstrated to be an effective feature descriptor in many scientific areas, as it can encode spatiotemporal statistics of the dat…
FusionBooster: A Unified Image Fusion Boosting Paradigm
Chunyang Cheng, Tianyang Xu, Xiao-Jun Wu +3
In recent years, numerous ideas have emerged for designing a mutually reinforcing mechanism or extra stages for the image fusion task, ignoring the inevitable gaps between differen…
D2-LRR: A Dual-Decomposed MDLatLRR Approach for Medical Image Fusion
Xu Song, Tianyu Shen, Hui Li +1
In image fusion tasks, an ideal image decomposition method can bring better performance. MDLatLRR has done a great job in this aspect, but there is still exist some space for impro…
Res2NetFuse: A Novel Res2Net-based Fusion Method for Infrared and Visible Images
Xu Song, Yongbiao Xiao, Hui Li +3
The fusion of visible light and infrared images has garnered significant attention in the field of imaging due to its pivotal role in various applications, including surveillance,…