Video Moment Retrieval from Text Queries via Single Frame Annotation-Reference-Cited by-同舟云学术

Video Moment Retrieval from Text Queries via Single Frame Annotation

Published:2022-07-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
language:
Short-container-title:

Author:

Cui Ran¹,Qian Tianwen²,Peng Pai³,Daskalaki Elena¹,Chen Jingjing²,Guo Xiaowei³,Sun Huyang³,Jiang Yu-Gang²

Affiliation:

1. The Australian National University, Canberra, Australia

2. Fudan University, Shanghai, China

3. bilibili, Shanghai, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3477495.3532078

Reference52 articles.

1. Localizing Moments in Video with Natural Language

2. Jimmy Lei Ba , Jamie Ryan Kiros, and Geoffrey E Hinton . 2016 . Layer normalization. arXiv preprint arXiv:1607.06450 (2016). Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton. 2016. Layer normalization. arXiv preprint arXiv:1607.06450 (2016).

3. ActivityNet: A large-scale video benchmark for human activity understanding

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

5. Temporally Grounding Natural Sentence in Video

Cited by 7 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. Probability Distribution Based Frame-supervised Language-driven Action Localization;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

2. Faster Video Moment Retrieval with Point-Level Supervision;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

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

4. NaQ: Leveraging Narrations as Queries to Supervise Episodic Memory;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

5. Are Binary Annotations Sufficient? Video Moment Retrieval via Hierarchical Uncertainty-based Active Learning;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06