Joint Learning of Audio–Visual Saliency Prediction and Sound Source Localization on Multi-face Videos-Reference-Cited by-同舟云学术

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Joint Learning of Audio–Visual Saliency Prediction and Sound Source Localization on Multi-face Videos

Published:2023-12-29 Issue: Volume: Page:
ISSN:0920-5691
Container-title:International Journal of Computer Vision
language:en
Short-container-title:Int J Comput Vis

Author:

Qiao Minglang,Liu Yufan,Xu Mai^ORCID,Deng Xin,Li Bing,Hu Weiming,Borji Ali

Funder

NSFC

Beijing Natural Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s11263-023-01950-3.pdf

Reference73 articles.

1. Alcázar, J. L., Caba, F., Mai, L., Perazzi, F., Lee, J. Y., Arbeláez, P., & Ghanem, B. (2020). Active speakers in context. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 12465–12474).

2. Arandjelovic, R., & Zisserman, A. (2018). Objects that sound. In Proceedings of the European conference on computer vision (ECCV) (pp. 435–451).

3. Aytar, Y., Vondrick, C., & Torralba, A. (2016). Soundnet: Learning sound representations from unlabeled video. arXiv preprint arXiv:1610.09001

4. Bak, C., Kocak, A., Erdem, E., & Erdem, A. (2017). Spatio-temporal saliency networks for dynamic saliency prediction. IEEE Transactions on Multimedia, 20(7), 1688–1698.

5. Bellitto, G., ProiettoSalanitri, F., Palazzo, S., Rundo, F., Giordano, D., & Spampinato, C. (2021). Hierarchical domain-adapted feature learning for video saliency prediction. International Journal of Computer Vision, 129, 3216–3232.

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