4 papers
Adversarial Patch Generation for Visual-Infrared Dense Prediction Tasks via Joint Position-Color Optimization
He Li, Wenyue He, Weihang Kong +1
Multimodal adversarial attacks for dense prediction remain largely underexplored. In particular, visual-infrared (VI) perception systems introduce unique challenges due to heteroge…
SSVIF: Self-Supervised Segmentation-Oriented Visible and Infrared Image Fusion
Zixian Zhao, Xingchen Zhang
Visible and infrared image fusion (VIF) has gained significant attention in recent years due to its wide application in tasks such as scene segmentation and object detection. VIF m…
FusionCounting: Robust visible-infrared image fusion guided by crowd counting via multi-task learning
He Li, Xinyu Liu, Weihang Kong +1
Visible and infrared image fusion (VIF) is an important multimedia task in computer vision. Most VIF methods focus primarily on optimizing fused image quality. Recent studies have…
MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning
Zixian Zhao, Andrew Howes, Xingchen Zhang
Visible and infrared image fusion (VIF) has attracted significant attention in recent years. Traditional VIF methods primarily focus on generating fused images with high visual qua…