2 citations · 3 across the 9 of their papers we have counts for
7 papers · 1 filter
Diffusion Attention Expert Model for Predicting and Semi-automatic Localizing STAS in Lung Cancer Histopathological Images
Liangrui Pan, Jiadi Luo, Yuxuan Xiao +13
Accurate intraoperative and postoperative diagnosis of spread through air spaces (STAS) is essential for guiding surgical decisions and postoperative management in lung cancer. How…
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…
Sim-to-Real: An Unsupervised Noise Layer for Screen-Camera Watermarking Robustness
Yufeng Wu, Xin Liao, Baowei Wang +4
Unauthorized screen capturing and dissemination pose severe security threats such as data leakage and information theft. Several studies propose robust watermarking methods to trac…
Compressed Deepfake Video Detection Based on 3D Spatiotemporal Trajectories
Zongmei Chen, Xin Liao, Xiaoshuai Wu +1
The misuse of deepfake technology by malicious actors poses a potential threat to nations, societies, and individuals. However, existing methods for detecting deepfakes primarily f…
Are Watermarks Bugs for Deepfake Detectors? Rethinking Proactive Forensics
Xiaoshuai Wu, Xin Liao, Bo Ou +2
AI-generated content has accelerated the topic of media synthesis, particularly Deepfake, which can manipulate our portraits for positive or malicious purposes. Before releasing th…
SafePaint: Anti-forensic Image Inpainting with Domain Adaptation
Dunyun Chen, Xin Liao, Xiaoshuai Wu +1
Existing image inpainting methods have achieved remarkable accomplishments in generating visually appealing results, often accompanied by a trend toward creating more intricate str…
SepMark: Deep Separable Watermarking for Unified Source Tracing and Deepfake Detection
Xiaoshuai Wu, Xin Liao, Bo Ou
Malicious Deepfakes have led to a sharp conflict over distinguishing between genuine and forged faces. Although many countermeasures have been developed to detect Deepfakes ex-post…