3 papers
cs.CV2026
DRFusion: Drift-Resilient Temporally Consistent Infrared-Visible Video Fusion
Xingyuan Li, Haoyuan Xu, Shulin Li +3
Infrared and visible video fusion is essential for achieving comprehensive perception in dynamic scenes. However, maintaining temporal consistency remains a formidable challenge. C…
cs.CV2026
Uncertainty-aware Spatial-Frequency Registration and Fusion for Infrared and Visible Images
Xingyuan Li, Haoyuan Xu, Xingyue Zhu +4
Infrared and Visible Image Fusion (IVIF) has shown promise in visual tasks under challenging environments, but fusion under unregistered conditions faces inherent misalignments. Cu…
cs.CV2025
Guided Depth Map Super-Resolution via Multi-Scale Fusion U-shaped Mamba Network
Chenggang Guo, Hao Xu, XianMing Wan
Depth map super-resolution technology aims to improve the spatial resolution of low-resolution depth maps and effectively restore high-frequency detail information. Traditional con…