Benefiting from the strong reasoning capabilities, Large language models (LLMs) have
demonstrated remarkable performance in recommender systems. Various efforts have been …

Emotion analysis, an integral aspect of human–machine interactions, has witnessed
significant advancements in recent years. With the rise of multimodal data sources such as …

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 …

Abstract Visible-infrared (RGB-IR) image fusion has shown great potentials in object
detection based on unmanned aerial vehicles (UAVs). However the weakly misalignment …

Infrared (IR) and visible image fusion is an important data fusion and image processing
technique that can accurately and comprehensively integrate the thermal radiation and …

Infrared and visible image fusion represents a significant segment within the image fusion
domain. The recent surge in image processing hardware advancements, including GPUs …

Effectively fusing infrared and visible images enhances the visibility of infrared target
information while capturing visual details. Balancing the brightness and contrast of the …

Most of existing correspondence pruning methods only concentrate on gathering the context
information as much as possible while neglecting effective ways to utilize such information …

Multispectral and synthetic aperture radar (SAR) image fusion is one of the key technologies
to improve image quality. The fusion method of multiscale decomposition includes two …

The purpose of infrared and visible fusion is to encompass significant targets and abundant
texture details in multiple visual scenarios. However, existing fusion methods have not …