LoCC detects and localizes lip-syncing deepfakes at frame and segment levels by measuring inconsistencies between each frame and a counterfactual estimate from temporal neighbors via teacher-student learning, outperforming prior methods on multiple datasets.
Unsupervised multimodal deepfake detection using intra-and cross-modal inconsistencies
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
Emo-Boost augments low-level deepfake detectors with intra- and inter-modal emotion consistency checks to raise cross-manipulation generalization AUC by 2.1% on FakeAVCeleb.
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LoCC: Detection and Localization of Lip-Syncing Deepfakes via Counterfactual Frame Consistency
LoCC detects and localizes lip-syncing deepfakes at frame and segment levels by measuring inconsistencies between each frame and a counterfactual estimate from temporal neighbors via teacher-student learning, outperforming prior methods on multiple datasets.
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EMO-BOOST: Emotion-Augmented Audio-Visual Features for Improved Generalization in Deepfake Detection
Emo-Boost augments low-level deepfake detectors with intra- and inter-modal emotion consistency checks to raise cross-manipulation generalization AUC by 2.1% on FakeAVCeleb.