5 papers · 1 filter
Environment-Invariant Subspace Learning for Generalizable Deepfake Detection
Shenghao Chen, Hao Jia, Chen Li +3
Cross-distribution generalization remains a critical bottleneck in deepfake detection. While recent efforts leverage the semantic priors of large-scale visual foundation models (VF…
MFVLR: Multi-domain Fine-grained Vision-Language Reconstruction for Generalizable Diffusion Face Forgery Detection and Localization
Yaning Zhang, Tianyi Wang, Zan Gao +3
The swift advancement in photo-realistic face generation technology has sparked considerable concerns across society and academia, emphasizing the requirement of generalizable face…
GazeCLIP: Gaze-Guided CLIP with Adaptive-Enhanced Fine-Grained Language Prompt for Deepfake Attribution and Detection
Yaning Zhang, Linlin Shen, Zitong Yu +2
Current deepfake attribution or deepfake detection works tend to exhibit poor generalization to novel generative methods due to the limited exploration in visual modalities alone.…
PVLM: Parsing-Aware Vision Language Model with Dynamic Contrastive Learning for Zero-Shot Deepfake Attribution
Yaning Zhang, Jiahe Zhang, Chunjie Ma +3
The challenge of tracing the source attribution of forged faces has gained significant attention due to the rapid advancement of generative models. However, existing deepfake attri…
Multiple Information Prompt Learning for Cloth-Changing Person Re-Identification
Shengxun Wei, Zan Gao, Chunjie Ma +3
Cloth-changing person re-identification is a subject closer to the real world, which focuses on solving the problem of person re-identification after pedestrians change clothes. Th…