36 citations · 56 across the 3 of their papers we have counts for
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cs.CV2025
MoAPT: Mixture of Adversarial Prompt Tuning for Vision-Language Models
Shiji Zhao, Qihui Zhu, Shukun Xiong +7
Large pre-trained Vision Language Models (VLMs) demonstrate excellent generalization capabilities but remain highly susceptible to adversarial examples, posing potential security r…
cs.CV2024★ 20 cited
UniRGB-IR: A Unified Framework for Visible-Infrared Semantic Tasks via Adapter Tuning
Maoxun Yuan, Bo Cui, Tianyi Zhao +4
Semantic analysis on visible (RGB) and infrared (IR) images has gained significant attention due to their enhanced accuracy and robustness under challenging conditions including lo…
cs.CV2024★ 36 cited
Removal then Selection: A Coarse-to-Fine Fusion Perspective for RGB-Infrared Object Detection
Tianyi Zhao, Maoxun Yuan, Feng Jiang +2
In recent years, object detection utilizing both visible (RGB) and thermal infrared (IR) imagery has garnered extensive attention and has been widely implemented across a diverse a…