Visual Relation Grounding in Videos-Reference-Cited by-同舟云学术

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Visual Relation Grounding in Videos

Published:2020 Issue: Volume: Page:447-464
ISSN:0302-9743
Container-title:Computer Vision – ECCV 2020
language:
Short-container-title:

Author:

Xiao Junbin,Shang Xindi,Yang Xun,Tang Sheng,Chua Tat-Seng

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-58539-6_27

Reference47 articles.

1. Balajee Vasudevan, A., Dai, D., Van Gool, L.: Object referring in videos with language and human gaze. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4129–4138 (2018)

2. 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)

3. Chen, Z., Ma, L., Luo, W., Wong, K.Y.K.: Weakly-supervised spatio-temporally grounding natural sentence in video. In: ACL (2019)

4. Galleguillos, C., Rabinovich, A., Belongie, S.: Object categorization using co-occurrence, location and appearance. In: 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1–8. IEEE (2008)

5. Gkioxari, G., Malik, J.: Finding action tubes. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 759–768 (2015)

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