4 papers
CAWM-Mamba: A unified model for infrared-visible image fusion and compound adverse weather restoration
Huichun Liu, Xiaosong Li, Zhuangfan Huang +3
Multimodal Image Fusion (MMIF) integrates complementary information from various modalities to produce clearer and more informative fused images. MMIF under adverse weather is part…
NDLPNet: A Location-Aware Nighttime Deraining Network and a Real-World Benchmark Dataset
Huichun Liu, Xiaosong Li, Yang Liu +2
Visual degradation caused by rain streak artifacts in low-light conditions significantly hampers the performance of nighttime surveillance and autonomous navigation. Existing image…
AWM-Fuse: Multi-Modality Image Fusion for Adverse Weather via Global and Local Text Perception
Xilai Li, Huichun Liu, Xiaosong Li +3
Multi-modality image fusion (MMIF) in adverse weather aims to address the loss of visual information caused by weather-related degradations, providing clearer scene representations…
Interaction-Guided Two-Branch Image Dehazing Network
Huichun Liu, Xiaosong Li, Tianshu Tan
Image dehazing aims to restore clean images from hazy ones. Convolutional Neural Networks (CNNs) and Transformers have demonstrated exceptional performance in local and global feat…