Author

Hongsong Wang

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Jul 2026

RAID: Towards Robust AI-Generated Image Detection with Bit-Reversed Images

The rapid advancement of image generation models has made it increasingly difficult for people to distinguish AI-generated images from real ones. To prevent the potential risks associated with the misuse of fake images, AI-generated image detection has gained significant attention. Existing methods neglect the inherent...

R. Cheng, Jie Gui, Hongsong Wang · arXiv.org · 1 citation

Jul 2026

Retrieval-Driven Training-Free AI-Generated Video Attribution

AI-generated videos are becoming increasingly realistic and difficult to distinguish from authentic ones, which facilitates malicious misuse and poses growing threats to cybersecurity and social governance. Attributing AI-generated videos to their specific generative sources is therefore of critical importance for fore...

R. Cheng, Chaolei Han, Jie Gui et al. · arXiv.org · 0 citations

Preprint Aug 2026

GenPrior: Unleashing Text-to-Motion Generative Priors for Zero-Shot Skeleton-based Action Recognition

This work proposes GenPrior, the first framework to exploit generative priors from pre-trained Text-to-Motion (T2M) models for ZSAR, and introduces Dispersion-Gated Feature Fusion, which distills kinematic prototypes and intra-class dispersion from generative motion sequences and employs a learned gating network to ada...

Jidong Kuang, Hongsong Wang, Jie Gui · 0 citations