Video2Subtitle: Matching Weakly-Synchronized Sequences via Dynamic Temporal Alignment-Reference-Cited by-同舟云学术

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Video2Subtitle: Matching Weakly-Synchronized Sequences via Dynamic Temporal Alignment

Published:2022-06-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 International Conference on Multimedia Retrieval
language:
Short-container-title:

Author:

Xue Ben¹,Liu Chenchen¹,Mu Yadong¹

Affiliation:

1. Peking University, Beijing, China

Funder

Beijing Natural Science Foundation

Science and Technology Innovation 2030 - New Generation Artificial Intelligence of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3512527.3531371

Reference47 articles.

1. Sami Abu-El-Haija , Nisarg Kothari , Joonseok Lee , Paul Natsev , George Toderici , Balakrishnan Varadarajan , and Sudheendra Vijayanarasimhan . 2016. Youtube-8m: A large-scale video classification benchmark. CoRR ( 2016 ), 1609.08675. Sami Abu-El-Haija, Nisarg Kothari, Joonseok Lee, Paul Natsev, George Toderici, Balakrishnan Varadarajan, and Sudheendra Vijayanarasimhan. 2016. Youtube-8m: A large-scale video classification benchmark. CoRR (2016), 1609.08675.

2. Galen Andrew , Raman Arora , Jeff Bilmes , and Karen Livescu . 2013 . Deep canonical correlation analysis . International Conference on Machine Learning (2013), 1247--1255. Galen Andrew, Raman Arora, Jeff Bilmes, and Karen Livescu. 2013. Deep canonical correlation analysis. International Conference on Machine Learning (2013), 1247--1255.

3. sDTW

4. Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

5. Fine-Grained Video-Text Retrieval With Hierarchical Graph Reasoning

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