9 citations · 25 across the 12 of their papers we have counts for
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cs.MM2024★ 1 cited
Cross-Modality and Within-Modality Regularization for Audio-Visual DeepFake Detection
Heqing Zou, Meng Shen, Yuchen Hu +3
Audio-visual deepfake detection scrutinizes manipulations in public video using complementary multimodal cues. Current methods, which train on fused multimodal data for multimodal…
cs.MM2023★ 5 cited
Towards Balanced Active Learning for Multimodal Classification
Meng Shen, Yizheng Huang, Jianxiong Yin +3
Training multimodal networks requires a vast amount of data due to their larger parameter space compared to unimodal networks. Active learning is a widely used technique for reduci…