Deconfounded Video Moment Retrieval with Causal Intervention-Reference-Cited by-同舟云学术

Deconfounded Video Moment Retrieval with Causal Intervention

Published:2021-07-11 Issue: Volume: Page:
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Container-title:Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Yang Xun¹,Feng Fuli¹,Ji Wei¹,Wang Meng²,Chua Tat-Seng¹

Affiliation:

1. Sea-NExT Joint Lab & National University of Singapore, Singapore, Singapore

2. Hefei University of Technology, Hefei, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3404835.3462823

Reference52 articles.

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2. Joao Carreira and Andrew Zisserman. 2017. Quo vadis action recognition? a new model and the kinetics dataset. In CVPR. 6299--6308. Joao Carreira and Andrew Zisserman. 2017. Quo vadis action recognition? a new model and the kinetics dataset. In CVPR. 6299--6308.

3. Jingyuan Chen Xinpeng Chen Lin Ma Zequn Jie and Tat-Seng Chua. 2018. Temporally grounding natural sentence in video. In EMNLP. 162--171. Jingyuan Chen Xinpeng Chen Lin Ma Zequn Jie and Tat-Seng Chua. 2018. Temporally grounding natural sentence in video. In EMNLP. 162--171.

4. Emily L Denton etal 2017. Unsupervised learning of disentangled representations from video. In NeurIPS. 4414--4423. Emily L Denton et al. 2017. Unsupervised learning of disentangled representations from video. In NeurIPS. 4414--4423.

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