3 papers
cs.CV2026
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization
Midou Guo, Qilin Yin, Wei Lu +1
Modern deepfakes have evolved into localized and intermittent manipulations that require fine-grained temporal localization to mitigate severe digital security risks. The prohibiti…
cs.CV2026
CIEC: Coupling Implicit and Explicit Cues for Multimodal Weakly Supervised Manipulation Localization
Xinquan Yu, Wei Lu, Xiangyang Luo +1
To mitigate the threat of misinformation, multimodal manipulation localization has garnered growing attention. Consider that current methods rely on costly and time-consuming fine-…
cs.SD2025
Weakly-supervised Audio Temporal Forgery Localization via Progressive Audio-language Co-learning Network
Junyan Wu, Wenbo Xu, Wei Lu +3
Audio temporal forgery localization (ATFL) aims to find the precise forgery regions of the partial spoof audio that is purposefully modified. Existing ATFL methods rely on training…