5 papers
Progressive Feedback-Enhanced Transformer for Image Forgery Localization
Haochen Zhu, Gang Cao, Xianglin Huang
Blind detection of the forged regions in digital images is an effective authentication means to counter the malicious use of local image editing techniques. Existing encoder-decode…
Transferable Adversarial Attack on Image Tampering Localization
Yuqi Wang, Gang Cao, Zijie Lou +1
It is significant to evaluate the security of existing digital image tampering localization algorithms in real-world applications. In this paper, we propose an adversarial attack s…
Effective Image Tampering Localization via Enhanced Transformer and Co-attention Fusion
Kun Guo, Haochen Zhu, Gang Cao
Powerful manipulation techniques have made digital image forgeries be easily created and widespread without leaving visual anomalies. The blind localization of tampered regions bec…
Single and coupled cavity mode sensing schemes using a diagnostic field
Aaron W. Goodwin-Jones, Haochen Zhu, Carl Blair +4
Precise optical mode matching is of critical importance in experiments using squeezed-vacuum states. Automatic spatial-mode matching schemes have the potential to reduce losses and…
Effective Image Tampering Localization with Multi-Scale ConvNeXt Feature Fusion
Haochen Zhu, Gang Cao, Mo Zhao
With the widespread use of powerful image editing tools, image tampering becomes easy and realistic. Existing image forensic methods still face challenges of low generalization per…