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Publications
CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding
Home
Publications
CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding
CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding
Authors:
ZH
Zhijian Hou
Zhijian Hou
WZ
Wanjun Zhong
Wanjun Zhong
LJ
Lei Ji
Lei Ji
DG
Difei Gao
Difei Gao
KY
Kun Yan
Kun Yan
WC
W.K. Chan
W.K. Chan
CN
Chong-Wah Ngo
Chong-Wah Ngo
MS
Mike Zheng Shou
Mike Zheng Shou
ND
Nan Duan
Nan Duan
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1 January 2023
conference paper
Published by
Association for Computational Linguistics (ACL)
p.
8013-8028
DOI:
10.18653/v1/2023.acl-long.445
Abstract
Zhijian Hou, Wanjun Zhong, Lei Ji, Difei Gao, Kun Yan, W.k. Chan, Chong-Wah Ngo, Mike Zheng Shou, Nan Duan. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2023.
Keywords
CONE (FORMAL LANGUAGES)
All Related Versions
Version 1, 2022-09-22, ArXiv (Unconfirmed version)
Version 2, 2023-05-30, ArXiv (Unconfirmed version)
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