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Weiming Bai

3 accepted papers

2023

AUNet: Learning Relations Between Action Units for Face Forgery Detection

CVPR 2023poster

Face forgery detection becomes increasingly crucial due to the serious security issues caused by face manipulation techniques. Recent studies in deepfake detection have yielded promising results when the training and testing face forgeries are from the same domain. However, the problem remains chall…

Cited by 56SourcePDFScholar
2023

Learning from the Raw Domain: Cross Modality Distillation for Compressed Video Action Recognition

ICASSP 2023accepted

Video action recognition is faced with the challenges of both huge computation burden and performance requirements. Using compressed domain data, which saves much decoding computation, is a possible solution. Unfortunately, existing compressed-domain-based (CD) methods fail to obtain high performanc…

Cited by 0SourceScholar
2023

Nasty-SFDA: Source Free Domain Adaptation from a Nasty Model

ICASSP 2023accepted

A challenging problem called Nasty Source Free Domain Adaptation (Nasty-SFDA) is proposed in this work, where only a nasty source model and unlabeled target samples are available for DA. Further, after DA, the target model is expected to be a nasty model. In order to deal with Nasty-SFDA, Nasty HypO…

Cited by 0SourceScholar