Phrase-level Prediction for Video Temporal Localization

Author:

Li Sizhe1,Li Chang1,Zheng Minghang1,Liu Yang2

Affiliation:

1. Peking University, Beijing, China

2. Peking University & Beijing Institute for General Artificial Intelligence, Beijing, China

Funder

Zhejiang Lab

Publisher

ACM

Reference37 articles.

1. VQA: Visual Question Answering

2. VQA: Visual Question Answering

3. Pol Albacar , Oscar Lorente , Eduard Mainou , and Ian Riera . 2021. Video Surveillance for Road Traffic Monitoring. ArXiv abs/2105.04908 ( 2021 ). Pol Albacar, Oscar Lorente, Eduard Mainou, and Ian Riera. 2021. Video Surveillance for Road Traffic Monitoring. ArXiv abs/2105.04908 (2021).

4. Jianguo Chen , Kenli Li , Qingying Deng , Keqin Li , and Philip S . Yu . 2019 . Distributed Deep Learning Model for Intelligent Video Surveillance Systems with Edge Computing. ArXiv abs/1904.06400 (2019). Jianguo Chen, Kenli Li, Qingying Deng, Keqin Li, and Philip S. Yu. 2019. Distributed Deep Learning Model for Intelligent Video Surveillance Systems with Edge Computing. ArXiv abs/1904.06400 (2019).

5. Hierarchical Visual-Textual Graph for Temporal Activity Localization via Language

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Semantics-Enriched Cross-Modal Alignment for Complex-Query Video Moment Retrieval;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

2. Temporal Sentence Grounding in Videos: A Survey and Future Directions;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023-08

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