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

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]

@inproceedings{ZhangWDLZZ23,
  title = {UMMAFormer: A Universal Multimodal-adaptive Transformer Framework for Temporal Forgery Localization},
  author = {Rui Zhang and Hongxia Wang and Mingshan Du and Hanqing Liu and Yang Zhou and Qiang Zeng},
  year = {2023},
  doi = {10.1145/3581783.3613767},
  url = {https://doi.org/10.1145/3581783.3613767},
  researchr = {https://researchr.org/publication/ZhangWDLZZ23},
  cites = {0},
  citedby = {0},
  pages = {8749-8759},
  booktitle = {Proceedings of the 31st ACM International Conference on Multimedia, MM 2023, Ottawa, ON, Canada, 29 October 2023- 3 November 2023},
  editor = {Abdulmotaleb El-Saddik and Tao Mei and Rita Cucchiara and Marco Bertini 0001 and Diana Patricia Tobon Vallejo and Pradeep K. Atrey and M. Shamim Hossain},
  publisher = {ACM},
}