Dual-path temporal map optimization for make-up temporal video grounding-Reference-Cited by-同舟云学术

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Dual-path temporal map optimization for make-up temporal video grounding

Published:2024-05-03 Issue:3 Volume:30 Page:
ISSN:0942-4962
Container-title:Multimedia Systems
language:en
Short-container-title:Multimedia Systems

Author:

Li Jiaxiu,Li Kun,Li Jia,Chen Guoliang,Wang Meng,Guo Dan

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Major Project of Anhui Province

Anhui Provincial Natural Science Foundation

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00530-024-01340-w.pdf

Reference57 articles.

1. Alayrac, J.B., Bojanowski, P., Agrawal, N., et al.: Unsupervised learning from narrated instruction videos. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4575–4583 (2016)

2. Anne Hendricks, L., Wang, O., Shechtman, E., et al.: Localizing moments in video with natural language. In: Proceedings of The IEEE International Conference on Computer Vision, pp. 5803–5812 (2017)

3. Caesar, H., Bankiti, V., Lang, A.H., et al.: nuscenes: A multimodal dataset for autonomous driving. In: Proceedings of The IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 11621–11631 (2020)

4. Carreira, J., Zisserman, A.: Quo vadis, action recognition? a new model and the kinetics dataset. In: Proceedings of The IEEE Conference on Computer Vision and Pattern Recognition, pp. 6299–6308 (2017)

5. Chen, J., Chen, X., Ma, L., et al.: Temporally grounding natural sentence in video. In: Proceedings of The 2018 Conference on Empirical Methods in Natural Language Processing, pp. 162–171 (2018)

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