Liu, X., et al. “An Empirical Study of End-to-End Temporal Action Detection”. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, pp. 19978–87, https://doi.org/10.1109/CVPR52688.2022.01938.
APA
Liu, X., Bai, S., & Bai, X. (2022). An Empirical Study of End-to-End Temporal Action Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 19978–19987. https://doi.org/10.1109/CVPR52688.2022.01938
Chicago
Liu, X., S. Bai, and X. Bai. 2022. “An Empirical Study of End-to-End Temporal Action Detection”. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 19978–87. https://doi.org/10.1109/CVPR52688.2022.01938.
Harvard
Liu, X., Bai, S. and Bai, X. (2022) “An Empirical Study of End-to-End Temporal Action Detection”, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, pp. 19978–19987. Available at: https://doi.org/10.1109/CVPR52688.2022.01938.
Vancouver
1. Liu X, Bai S, Bai X (2022) An Empirical Study of End-to-End Temporal Action Detection. In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, pp 19978–19987
BibTeX
@inproceedings{Liu_2022, title={An Empirical Study of End-to-End Temporal Action Detection}, url={http://dx.doi.org/10.1109/CVPR52688.2022.01938}, DOI={10.1109/cvpr52688.2022.01938}, booktitle={2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, publisher={IEEE}, author={Liu, Xiaolong and Bai, Song and Bai, Xiang}, year={2022}, month=June, pages={19978–19987} }