{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T02:28:25Z","timestamp":1783736905468,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":77,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T00:00:00Z","timestamp":1665360000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Natural Science Foundation of Hunan Province","award":["2021JJ30152"],"award-info":[{"award-number":["2021JJ30152"]}]},{"name":"the Key R&D Program of Changsha","award":["No.KQ2004005"],"award-info":[{"award-number":["No.KQ2004005"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62072169, 62172156"],"award-info":[{"award-number":["62072169, 62172156"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,10]]},"DOI":"10.1145\/3503161.3547963","type":"proceedings-article","created":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T15:42:46Z","timestamp":1665416566000},"page":"346-355","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":20,"title":["Video Moment Retrieval with Hierarchical Contrastive Learning"],"prefix":"10.1145","author":[{"given":"Bolin","family":"Zhang","sequence":"first","affiliation":[{"name":"Hunan University, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chao","family":"Yang","sequence":"additional","affiliation":[{"name":"Hunan University, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bin","family":"Jiang","sequence":"additional","affiliation":[{"name":"Hunan University, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaokang","family":"Zhou","sequence":"additional","affiliation":[{"name":"Shiga University &amp; RIKEN Center, Hikone &amp; Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2022,10,10]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.618"},{"key":"e_1_3_2_2_2_1","volume-title":"Jamie Ryan Kiros, and Geoffrey E Hinton","author":"Ba Jimmy Lei","year":"2016","unstructured":"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)."},{"key":"e_1_3_2_2_3_1","volume-title":"Learning representations by maximizing mutual information across views. Advances in neural information processing systems","author":"Bachman Philip","year":"2019","unstructured":"Philip Bachman , R Devon Hjelm , and William Buchwalter . 2019. Learning representations by maximizing mutual information across views. Advances in neural information processing systems , Vol. 32 ( 2019 ). Philip Bachman, R Devon Hjelm, and William Buchwalter. 2019. Learning representations by maximizing mutual information across views. Advances in neural information processing systems , Vol. 32 (2019)."},{"key":"e_1_3_2_2_4_1","volume-title":"3rd International Conference on Learning Representations, ICLR","author":"Bahdanau Dzmitry","year":"2015","unstructured":"Dzmitry Bahdanau , Kyung Hyun Cho , and Yoshua Bengio . 2015 . Neural machine translation by jointly learning to align and translate . In 3rd International Conference on Learning Representations, ICLR 2015. Dzmitry Bahdanau, Kyung Hyun Cho, and Yoshua Bengio. 2015. Neural machine translation by jointly learning to align and translate. In 3rd International Conference on Learning Representations, ICLR 2015."},{"key":"e_1_3_2_2_5_1","volume-title":"Mine: mutual information neural estimation. arXiv preprint arXiv:1801.04062","author":"Belghazi Mohamed Ishmael","year":"2018","unstructured":"Mohamed Ishmael Belghazi , Aristide Baratin , Sai Rajeswar , Sherjil Ozair , Yoshua Bengio , Aaron Courville , and R Devon Hjelm . 2018. Mine: mutual information neural estimation. arXiv preprint arXiv:1801.04062 ( 2018 ). Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeswar, Sherjil Ozair, Yoshua Bengio, Aaron Courville, and R Devon Hjelm. 2018. Mine: mutual information neural estimation. arXiv preprint arXiv:1801.04062 (2018)."},{"key":"e_1_3_2_2_6_1","volume-title":"An information-maximization approach to blind separation and blind deconvolution. Neural computation","author":"Bell Anthony J","year":"1995","unstructured":"Anthony J Bell and Terrence J Sejnowski . 1995. An information-maximization approach to blind separation and blind deconvolution. Neural computation , Vol. 7 , 6 ( 1995 ), 1129--1159. Anthony J Bell and Terrence J Sejnowski. 1995. An information-maximization approach to blind separation and blind deconvolution. Neural computation, Vol. 7, 6 (1995), 1129--1159."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.502"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1015"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6627"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58548-8_20"},{"key":"e_1_3_2_2_11_1","volume-title":"International conference on machine learning. PMLR, 1597--1607","author":"Chen Ting","year":"2020","unstructured":"Ting Chen , Simon Kornblith , Mohammad Norouzi , and Geoffrey Hinton . 2020 b. A simple framework for contrastive learning of visual representations . In International conference on machine learning. PMLR, 1597--1607 . Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020b. A simple framework for contrastive learning of visual representations. In International conference on machine learning. PMLR, 1597--1607."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.286"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298981"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00190"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.86"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.563"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00155"},{"key":"e_1_3_2_2_18_1","volume-title":"Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","volume":"1","author":"Ghosh Soham","year":"2019","unstructured":"Soham Ghosh , Anuva Agarwal , Zarana Parekh , and Alexander G Hauptmann . 2019 . ExCL: Extractive Clip Localization Using Natural Language Descriptions . In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , Volume 1 (Long and Short Papers). 1984--1990. Soham Ghosh, Anuva Agarwal, Zarana Parekh, and Alexander G Hauptmann. 2019. ExCL: Extractive Clip Localization Using Natural Language Descriptions. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). 1984--1990."},{"key":"e_1_3_2_2_19_1","volume-title":"Coot: Cooperative hierarchical transformer for video-text representation learning. Advances in neural information processing systems","author":"Ging Simon","year":"2020","unstructured":"Simon Ging , Mohammadreza Zolfaghari , Hamed Pirsiavash , and Thomas Brox . 2020 . Coot: Cooperative hierarchical transformer for video-text representation learning. Advances in neural information processing systems , Vol. 33 (2020), 22605--22618. Simon Ging, Mohammadreza Zolfaghari, Hamed Pirsiavash, and Thomas Brox. 2020. Coot: Cooperative hierarchical transformer for video-text representation learning. Advances in neural information processing systems , Vol. 33 (2020), 22605--22618."},{"key":"e_1_3_2_2_20_1","volume-title":"Neighbourhood components analysis. Advances in neural information processing systems","author":"Goldberger Jacob","year":"2004","unstructured":"Jacob Goldberger , Geoffrey E Hinton , Sam Roweis , and Russ R Salakhutdinov . 2004. Neighbourhood components analysis. Advances in neural information processing systems , Vol. 17 ( 2004 ). Jacob Goldberger, Geoffrey E Hinton, Sam Roweis, and Russ R Salakhutdinov. 2004. Neighbourhood components analysis. Advances in neural information processing systems , Vol. 17 (2004)."},{"key":"e_1_3_2_2_21_1","volume-title":"Proceedings of the thirteenth international conference on artificial intelligence and statistics. JMLR Workshop and Conference Proceedings, 297--304","author":"Gutmann Michael","year":"2010","unstructured":"Michael Gutmann and Aapo Hyv\"arinen. 2010 . Noise-contrastive estimation: A new estimation principle for unnormalized statistical models . In Proceedings of the thirteenth international conference on artificial intelligence and statistics. JMLR Workshop and Conference Proceedings, 297--304 . Michael Gutmann and Aapo Hyv\"arinen. 2010. Noise-contrastive estimation: A new estimation principle for unnormalized statistical models. In Proceedings of the thirteenth international conference on artificial intelligence and statistics. JMLR Workshop and Conference Proceedings, 297--304."},{"key":"e_1_3_2_2_22_1","volume-title":"2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06)","volume":"2","author":"Hadsell Raia","year":"2006","unstructured":"Raia Hadsell , Sumit Chopra , and Yann LeCun . 2006 . Dimensionality reduction by learning an invariant mapping . In 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06) , Vol. 2 . IEEE, 1735--1742. Raia Hadsell, Sumit Chopra, and Yann LeCun. 2006. Dimensionality reduction by learning an invariant mapping. In 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06), Vol. 2. IEEE, 1735--1742."},{"key":"e_1_3_2_2_23_1","unstructured":"Meera Hahn Asim Kadav James M Rehg and Hans Peter Graf. 2020. Tripping through time: Efficient Localization of Activities in Videos. (2020).  Meera Hahn Asim Kadav James M Rehg and Hans Peter Graf. 2020. Tripping through time: Efficient Localization of Activities in Videos. (2020)."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018393"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_2_27_1","volume-title":"International Conference on Learning Representations.","author":"Hjelm R Devon","year":"2018","unstructured":"R Devon Hjelm , Alex Fedorov , Samuel Lavoie-Marchildon , Karan Grewal , Phil Bachman , Adam Trischler , and Yoshua Bengio . 2018 . Learning deep representations by mutual information estimation and maximization . In International Conference on Learning Representations. R Devon Hjelm, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Phil Bachman, Adam Trischler, and Yoshua Bengio. 2018. Learning deep representations by mutual information estimation and maximization. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3090521"},{"key":"e_1_3_2_2_29_1","volume-title":"Independent component analysis: algorithms and applications. Neural networks","author":"Erkki Oja Aapo","year":"2000","unstructured":"Aapo Hyv\"arinen and Erkki Oja . 2000. Independent component analysis: algorithms and applications. Neural networks , Vol. 13 , 4--5 ( 2000 ), 411--430. Aapo Hyv\"arinen and Erkki Oja. 2000. Independent component analysis: algorithms and applications. Neural networks, Vol. 13, 4--5 (2000), 411--430."},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3323873.3325019"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01216-8_31"},{"key":"e_1_3_2_2_32_1","volume-title":"Exploring the limits of language modeling. arXiv preprint arXiv:1602.02410","author":"Jozefowicz Rafal","year":"2016","unstructured":"Rafal Jozefowicz , Oriol Vinyals , Mike Schuster , Noam Shazeer , and Yonghui Wu. 2016. Exploring the limits of language modeling. arXiv preprint arXiv:1602.02410 ( 2016 ). Rafal Jozefowicz, Oriol Vinyals, Mike Schuster, Noam Shazeer, and Yonghui Wu. 2016. Exploring the limits of language modeling. arXiv preprint arXiv:1602.02410 (2016)."},{"key":"e_1_3_2_2_33_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba . 2014 . Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014). Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.83"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.161"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01091"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240549"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1518"},{"key":"e_1_3_2_2_39_1","volume-title":"Univl: A unified video and language pre-training model for multimodal understanding and generation. arXiv preprint arXiv:2002.06353","author":"Luo Huaishao","year":"2020","unstructured":"Huaishao Luo , Lei Ji , Botian Shi , Haoyang Huang , Nan Duan , Tianrui Li , Jason Li , Taroon Bharti , and Ming Zhou . 2020 . Univl: A unified video and language pre-training model for multimodal understanding and generation. arXiv preprint arXiv:2002.06353 (2020). Huaishao Luo, Lei Ji, Botian Shi, Haoyang Huang, Nan Duan, Tianrui Li, Jason Li, Taroon Bharti, and Ming Zhou. 2020. Univl: A unified video and language pre-training model for multimodal understanding and generation. arXiv preprint arXiv:2002.06353 (2020)."},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00990"},{"key":"e_1_3_2_2_41_1","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 6707--6717","author":"Misra Ishan","unstructured":"Ishan Misra and Laurens van der Maaten. 2020. Self-supervised learning of pretext-invariant representations . In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 6707--6717 . Ishan Misra and Laurens van der Maaten. 2020. Self-supervised learning of pretext-invariant representations. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 6707--6717."},{"key":"e_1_3_2_2_42_1","volume-title":"Representation learning with contrastive predictive coding. arXiv preprint arXiv:1807.03748","author":"van den Oord Aaron","year":"2018","unstructured":"Aaron van den Oord , Yazhe Li , and Oriol Vinyals . 2018. Representation learning with contrastive predictive coding. arXiv preprint arXiv:1807.03748 ( 2018 ). Aaron van den Oord, Yazhe Li, and Oriol Vinyals. 2018. Representation learning with contrastive predictive coding. arXiv preprint arXiv:1807.03748 (2018)."},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00207"},{"key":"e_1_3_2_2_45_1","volume-title":"Neighbourhood Consensus Networks. In 32nd Conference on Neural Information Processing Systems (NIPS","author":"Rocco Ignacio","year":"2018","unstructured":"Ignacio Rocco , Mircea Cimpoi , Relja Arandjelovi?, Akihiko Torii , Tomas Pajdla , and Josef Sivic . 2018 . Neighbourhood Consensus Networks. In 32nd Conference on Neural Information Processing Systems (NIPS 2018). Ignacio Rocco, Mircea Cimpoi, Relja Arandjelovi?, Akihiko Torii, Tomas Pajdla, and Josef Sivic. 2018. Neighbourhood Consensus Networks. In 32nd Conference on Neural Information Processing Systems (NIPS 2018)."},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33718-5_11"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.119"},{"key":"e_1_3_2_2_48_1","volume-title":"Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556","author":"Simonyan Karen","year":"2014","unstructured":"Karen Simonyan and Andrew Zisserman . 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 ( 2014 ). Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)."},{"key":"e_1_3_2_2_49_1","volume-title":"Proceedings of the IEEE conference on computer vision and pattern recognition. 5179--5187","author":"Song Yale","year":"2015","unstructured":"Yale Song , Jordi Vallmitjana , Amanda Stent , and Alejandro Jaimes . 2015 . Tvsum: Summarizing web videos using titles . In Proceedings of the IEEE conference on computer vision and pattern recognition. 5179--5187 . Yale Song, Jordi Vallmitjana, Amanda Stent, and Alejandro Jaimes. 2015. Tvsum: Summarizing web videos using titles. In Proceedings of the IEEE conference on computer vision and pattern recognition. 5179--5187."},{"key":"e_1_3_2_2_50_1","volume-title":"Learning video representations using contrastive bidirectional transformer. arXiv preprint arXiv:1906.05743","author":"Sun Chen","year":"2019","unstructured":"Chen Sun , Fabien Baradel , Kevin Murphy , and Cordelia Schmid . 2019. Learning video representations using contrastive bidirectional transformer. arXiv preprint arXiv:1906.05743 ( 2019 ). Chen Sun, Fabien Baradel, Kevin Murphy, and Cordelia Schmid. 2019. Learning video representations using contrastive bidirectional transformer. arXiv preprint arXiv:1906.05743 (2019)."},{"key":"e_1_3_2_2_51_1","volume-title":"International Conference on Learning Representations.","author":"Sun Fan-Yun","year":"2020","unstructured":"Fan-Yun Sun , Jordon Hoffman , Vikas Verma , and Jian Tang . 2020 . InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization . In International Conference on Learning Representations. Fan-Yun Sun, Jordon Hoffman, Vikas Verma, and Jian Tang. 2020. InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3086591"},{"key":"e_1_3_2_2_53_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1514"},{"key":"e_1_3_2_2_54_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.510"},{"key":"e_1_3_2_2_55_1","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez Lukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In Advances in neural information processing systems. 5998--6008.  Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez Lukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In Advances in neural information processing systems. 5998--6008."},{"key":"e_1_3_2_2_56_1","first-page":"4","article-title":"Deep Graph Infomax","volume":"2","author":"Velickovic Petar","year":"2019","unstructured":"Petar Velickovic , William Fedus , William L Hamilton , Pietro Li\u00f2 , Yoshua Bengio , and R Devon Hjelm . 2019 . Deep Graph Infomax . ICLR (Poster) , Vol. 2 , 3 (2019), 4 . Petar Velickovic, William Fedus, William L Hamilton, Pietro Li\u00f2, Yoshua Bengio, and R Devon Hjelm. 2019. Deep Graph Infomax. ICLR (Poster), Vol. 2, 3 (2019), 4.","journal-title":"ICLR (Poster)"},{"key":"e_1_3_2_2_57_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00042"},{"key":"e_1_3_2_2_58_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6924"},{"key":"e_1_3_2_2_59_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00393"},{"key":"e_1_3_2_2_60_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.327"},{"key":"e_1_3_2_2_61_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i4.16406"},{"key":"e_1_3_2_2_62_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33019062"},{"key":"e_1_3_2_2_63_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3463021"},{"key":"e_1_3_2_2_64_1","doi-asserted-by":"publisher","DOI":"10.5555\/3454287.3454336"},{"key":"e_1_3_2_2_65_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33019159"},{"key":"e_1_3_2_2_66_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01030"},{"key":"e_1_3_2_2_67_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00225"},{"key":"e_1_3_2_2_68_1","doi-asserted-by":"publisher","DOI":"10.1145\/3512527.3531394"},{"key":"e_1_3_2_2_69_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462874"},{"key":"e_1_3_2_2_70_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.585"},{"key":"e_1_3_2_2_71_1","volume-title":"The Elements of Temporal Sentence Grounding in Videos: A Survey and Future Directions. arXiv preprint arXiv:2201.08071","author":"Zhang Hao","year":"2022","unstructured":"Hao Zhang , Aixin Sun , Wei Jing , and Joey Tianyi Zhou . 2022b. The Elements of Temporal Sentence Grounding in Videos: A Survey and Future Directions. arXiv preprint arXiv:2201.08071 ( 2022 ). Hao Zhang, Aixin Sun, Wei Jing, and Joey Tianyi Zhou. 2022b. The Elements of Temporal Sentence Grounding in Videos: A Survey and Future Directions. arXiv preprint arXiv:2201.08071 (2022)."},{"key":"e_1_3_2_2_72_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3120745"},{"key":"e_1_3_2_2_73_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6984"},{"key":"e_1_3_2_2_74_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331235"},{"key":"e_1_3_2_2_75_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.317"},{"key":"e_1_3_2_2_76_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00877"},{"key":"e_1_3_2_2_77_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00610"}],"event":{"name":"MM '22: The 30th ACM International Conference on Multimedia","location":"Lisboa Portugal","acronym":"MM '22","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 30th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3547963","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3503161.3547963","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:00:31Z","timestamp":1750186831000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3547963"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,10]]},"references-count":77,"alternative-id":["10.1145\/3503161.3547963","10.1145\/3503161"],"URL":"https:\/\/doi.org\/10.1145\/3503161.3547963","relation":{},"subject":[],"published":{"date-parts":[[2022,10,10]]},"assertion":[{"value":"2022-10-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}