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%0 Conference Proceedings
%T O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning
%A Liu, Fenglin
%A Ren, Xuancheng
%A Wu, Xian
%A Yang, Bang
%A Ge, Shen
%A Sun, Xu
%Y Zong, Chengqing
%Y Xia, Fei
%Y Li, Wenjie
%Y Navigli, Roberto
%S Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F liu-etal-2021-o2na
%R 10.18653/v1/2021.findings-acl.24
%U https://aclanthology.org/2021.findings-acl.24
%U https://doi.org/10.18653/v1/2021.findings-acl.24
%P 281-292

Markdown (Informal)

[O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning](https://aclanthology.org/2021.findings-acl.24) (Liu et al., Findings 2021)

• O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning (Liu et al., Findings 2021)

ACL

• Fenglin Liu, Xuancheng Ren, Xian Wu, Bang Yang, Shen Ge, and Xu Sun. 2021. O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 281–292, Online. Association for Computational Linguistics.