You Can Ground Earlier than See: An Effective and Efficient Pipeline for Temporal Sentence Grounding in Compressed Videos

Author:

Fang Xiang1,Liu Daizong2,Zhou Pan1,Nan Guoshun3

Affiliation:

1. Hubei Engineering Research Center on Big Data Security, School of Cyber Science and Engineering, Huazhong University of Science and Technology,Hubei Key Laboratory of Distributed System Security

2. Peking University

3. Beijing University of Posts and Telecommunications

Publisher

IEEE

Cited by 4 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. Parameterized multi-perspective graph learning network for temporal sentence grounding in videos;Applied Intelligence;2024-06-24

2. Mrtnet: Multi-Resolution Temporal Network for Video Sentence Grounding;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Learning a Contextualized Multimodal Embedding for Zero-shot Cooking Video Caption Generation;ACM Multimedia Asia 2023;2023-12-06

4. Filling the Information Gap between Video and Query for Language-Driven Moment Retrieval;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

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