most citedRAIDX: A Retrieval-Augmented Generation and GRPO Reinforcement Learning Framework for Explainable Deepfake Detection

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV20251 cited

RAIDX: A Retrieval-Augmented Generation and GRPO Reinforcement Learning Framework for Explainable Deepfake Detection

Tianxiao Li, Zhenglin Huang, Haiquan Wen +4

The rapid advancement of AI-generation models has enabled the creation of hyperrealistic imagery, posing ethical risks through widespread misinformation. Current deepfake detection…

cs.CV2025

Towards Explainable Bilingual Multimodal Misinformation Detection and Localization

Yiwei He, Zhenglin Huang, Haiquan Wen +5

The increasing realism of multimodal content has made misinformation more subtle and harder to detect, especially in news media where images are frequently paired with bilingual (e…

cs.CV2025

Probabilistic Segmentation for Robust Field of View Estimation

R. Spencer Hallyburton, David Hunt, Yiwei He +2

Attacks on sensing and perception threaten the safe deployment of autonomous vehicles (AVs). Security-aware sensor fusion helps mitigate threats but requires accurate field of view…

cs.CV2024

SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model

Zhenglin Huang, Jinwei Hu, Xiangtai Li +6

The rapid advancement of generative models in creating highly realistic images poses substantial risks for misinformation dissemination. For instance, a synthetic image, when share…

cs.CV2024

Joint-Optimized Unsupervised Adversarial Domain Adaptation in Remote Sensing Segmentation with Prompted Foundation Model

Shuchang Lyu, Qi Zhao, Guangliang Cheng +4

Unsupervised Domain Adaptation for Remote Sensing Semantic Segmentation (UDA-RSSeg) addresses the challenge of adapting a model trained on source domain data to target domain sampl…