9 papers
Multi-modality Image Fusion under Adverse Weather: Mask-Guided Feature Restoration and Interaction
Xilai Li, Xiaosong Li, Haishu Tan +3
Multi-modality image fusion (MMIF) enhances scene representation by exploiting complementary cues from different modalities. Adverse weather, however, causes significant image degr…
MAVFusion: Efficient Infrared and Visible Video Fusion via Motion-Aware Sparse Interaction
Xilai Li, Weijun Jiang, Xiaosong Li +5
Infrared and visible video fusion combines the object saliency from infrared images with the texture details from visible images to produce semantically rich fusion results. Howeve…
FTPFusion: Frequency-Aware Infrared and Visible Video Fusion with Temporal Perturbation
Xilai Li, Chusheng Fang, Xiaosong Li
Infrared and visible video fusion plays a critical role in intelligent surveillance and low-light monitoring. However, maintaining temporal stability while preserving spatial detai…
All-weather Multi-Modality Image Fusion: Unified Framework and 100k Benchmark
Xilai Li, Wuyang Liu, Xiaosong Li +3
Multi-modality image fusion (MMIF) combines complementary information from different image modalities to provide a comprehensive and objective interpretation of scenes. However, ex…
Text-Guided Channel Perturbation and Pretrained Knowledge Integration for Unified Multi-Modality Image Fusion
Xilai Li, Xiaosong Li, Weijun Jiang
Multi-modality image fusion enhances scene perception by combining complementary information. Unified models aim to share parameters across modalities for multi-modality image fusi…
UMCFuse: A Unified Multiple Complex Scenes Infrared and Visible Image Fusion Framework
Xilai Li, Xiaosong Li, Tianshu Tan +2
Infrared and visible image fusion has emerged as a prominent research area in computer vision. However, little attention has been paid to the fusion task in complex scenes, leading…