UMMAFormer: A Universal Multimodal-adaptive Transformer Framework for Temporal Forgery Localization - researchr publication authors

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Rui Zhang, Hongxia Wang, Mingshan Du, Hanqing Liu, Yang Zhou, Qiang Zeng. UMMAFormer: A Universal Multimodal-adaptive Transformer Framework for Temporal Forgery Localization. In Abdulmotaleb El-Saddik, Tao Mei, Rita Cucchiara, Marco Bertini 0001, Diana Patricia Tobon Vallejo, Pradeep K. Atrey, M. Shamim Hossain, editors, Proceedings of the 31st ACM International Conference on Multimedia, MM 2023, Ottawa, ON, Canada, 29 October 2023- 3 November 2023. pages 8749-8759, ACM, 2023. [doi]

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