4 citations · 23 across the 15 of their papers we have counts for
6 papers · 1 filter
GLFF: Global and Local Feature Fusion for AI-synthesized Image Detection
Yan Ju, Shan Jia, Jialing Cai +2
With the rapid development of deep generative models (such as Generative Adversarial Networks and Diffusion models), AI-synthesized images are now of such high quality that humans…
Fusion-based Few-Shot Morphing Attack Detection and Fingerprinting
Na Zhang, Shan Jia, Siwei Lyu +1
The vulnerability of face recognition systems to morphing attacks has posed a serious security threat due to the wide adoption of face biometrics in the real world. Most existing m…
Joint Learning of Deep Texture and High-Frequency Features for Computer-Generated Image Detection
Qiang Xu, Shan Jia, Xinghao Jiang +3
Distinguishing between computer-generated (CG) and natural photographic (PG) images is of great importance to verify the authenticity and originality of digital images. However, th…
A Saliency-Guided Street View Image Inpainting Framework for Efficient Last-Meters Wayfinding
Chuanbo Hu, Shan Jia, Fan Zhang +1
Global Positioning Systems (GPS) have played a crucial role in various navigation applications. Nevertheless, localizing the perfect destination within the last few meters remains…
Fusing Global and Local Features for Generalized AI-Synthesized Image Detection
Yan Ju, Shan Jia, Lipeng Ke +3
With the development of the Generative Adversarial Networks (GANs) and DeepFakes, AI-synthesized images are now of such high quality that humans can hardly distinguish them from re…
Model Attribution of Face-swap Deepfake Videos
Shan Jia, Xin Li, Siwei Lyu
AI-created face-swap videos, commonly known as Deepfakes, have attracted wide attention as powerful impersonation attacks. Existing research on Deepfakes mostly focuses on binary d…