1 citations · 2 across the 5 of their papers we have counts for
5 papers
DDNet: A Dual-Stream Graph Learning and Disentanglement Framework for Temporal Forgery Localization
Boyang Zhao, Xin Liao, Jiaxin Chen +2
The rapid evolution of AIGC technology enables misleading viewers by tampering mere small segments within a video, rendering video-level detection inaccurate and unpersuasive. Cons…
LDR-Net: A Novel Framework for AI-generated Image Detection via Localized Discrepancy Representation
JiaXin Chen, Miao Hu, DengYong Zhang +2
With the rapid advancement of generative models, the visual quality of generated images has become nearly indistinguishable from the real ones, posing challenges to content authent…
GC-ConsFlow: Leveraging Optical Flow Residuals and Global Context for Robust Deepfake Detection
Jiaxin Chen, Miao Hu, Dengyong Zhang +1
The rapid development of Deepfake technology has enabled the generation of highly realistic manipulated videos, posing severe social and ethical challenges. Existing Deepfake detec…
Adaptive Learning of Consistency and Inconsistency Information for Fake News Detection
Aohan Li, Jiaxin Chen, Xin Liao +1
The rapid advancement of social media platforms has significantly reduced the cost of information dissemination, yet it has also led to a proliferation of fake news, posing a threa…
CTP-Net: Character Texture Perception Network for Document Image Forgery Localization
Xin Liao, Siliang Chen, Jiaxin Chen +2
Due to the progression of information technology in recent years, document images have been widely disseminated on social networks. With the help of powerful image editing tools, d…