Recently, the text-to-image diffusion model has gained considerable attention from the
community due to its exceptional image generation capability. A representative model …

The goal of infrared and visible image fusion (TVIF) is to integrate the unique advantages of
both modalities to achieve a more comprehensive understanding of a scene. However …

The objectives of infrared and visible image fusion are to generate a single image that
includes significant objects and rich texture information. However, the current deep-learning …

A major obstacle for nearshore cross-modality visual tasks is the large-scale cross-modality
data collection and the long-tail distribution in special scenes. One of the most common …

The fusion of visible and infrared images aims to produce high-quality fusion images with
rich textures and salient target information. Existing methods lack interactivity and flexibility …

Pedestrian detection plays a critical role in computer vision as it contributes to ensuring
traffic safety. Existing methods that rely solely on RGB images suffer from performance …

Oil remains the most important energy source in the world today, and tankers are its main
modes of transportation. However, there is a high risk of oil spills, which can cause serious …

Video inpainting is an ill-posed inverse problem in image processing focused on eliminating
unwanted objects and restoring damaged or corrupted regions within a video sequence …

Existing multi-modal image fusion methods fail to address the compound degradations
presented in source images, resulting in fusion images plagued by noise, color bias …

Federated learning is a privacy-preserving distributed framework that facilitates information
fusion and sharing among different clients, enabling the training of a global model without …