{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:20:33Z","timestamp":1740169233039,"version":"3.37.3"},"reference-count":64,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["OIA-1946391"],"award-info":[{"award-number":["OIA-1946391"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Gia Lam Urban Development and Investment Company Limited, Vingroup"},{"name":"Vingroup Innovation Foundation","award":["VINIF.2019.DA19"],"award-info":[{"award-number":["VINIF.2019.DA19"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3110973","type":"journal-article","created":{"date-parts":[[2021,9,7]],"date-time":"2021-09-07T19:31:01Z","timestamp":1631043061000},"page":"126431-126445","source":"Crossref","is-referenced-by-count":13,"title":["ABN: Agent-Aware Boundary Networks for Temporal Action Proposal Generation"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0277-7094","authenticated-orcid":false,"given":"Khoa","family":"Vo","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6569-6860","authenticated-orcid":false,"given":"Kashu","family":"Yamazaki","sequence":"additional","affiliation":[]},{"given":"Sang","family":"Truong","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3046-3041","authenticated-orcid":false,"given":"Minh-Triet","family":"Tran","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9148-9822","authenticated-orcid":false,"given":"Akihiro","family":"Sugimoto","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2571-0511","authenticated-orcid":false,"given":"Ngan","family":"Le","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.590"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2712608"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88688-4_48"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/1291233.1291311"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.5244\/C.22.99"},{"key":"ref30","article-title":"YOLOv3: An incremental improvement","author":"redmon","year":"2018","journal-title":"arXiv 1804 02767"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.168"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.5244\/C.31.93"},{"key":"ref35","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume":"25","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/11744047_33"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00719"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00043"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58604-1_8"},{"key":"ref63","article-title":"The kinetics human action video dataset","author":"kay","year":"2017","journal-title":"arXiv 1705 06950"},{"key":"ref28","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Proc NeurIPS"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.678"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123343"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01216-8_5"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.675"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2940007"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00135"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.121"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00133"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00678"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.213"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.510"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298698"},{"journal-title":"THUMOS Challenge Action Recognition with A Large Number of Classes","year":"2014","author":"jiang","key":"ref51"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01017"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.155"},{"key":"ref57","article-title":"CUHK & ETHZ & SIAT submission to activitynet challenge 2016","author":"xiong","year":"2016","journal-title":"arXiv 1608 00797"},{"key":"ref56","first-page":"1905","article-title":"Self-supervised learning for semi-supervised temporal action proposal","author":"wang","year":"2021","journal-title":"Proc CVPR"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58598-3_32"},{"key":"ref54","article-title":"TSI: Temporal scale invariant network for action proposal generation","author":"liu","year":"2020","journal-title":"Proc ACCV"},{"key":"ref53","first-page":"2602","article-title":"BSN++: Complementary boundary regressor with scale-balanced relation modeling for temporal action proposal generation","author":"su","year":"2020","journal-title":"Proc ACCV"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.593"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00124"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.317"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.502"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_1"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00372"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6815"},{"key":"ref15","first-page":"568","article-title":"Two-stream convolutional networks for action recognition in videos","author":"simonyan","year":"2014","journal-title":"Proc NeurIPS"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00630"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.512"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.112"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01329"},{"key":"ref4","first-page":"1","article-title":"MSR Asia MSM at activitynet challenge 2017: Trimmed action recognition, temporal action proposals and densecaptioning events in videos","author":"yao","year":"2017","journal-title":"Proc CVPR Workshops"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.610"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00399"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.341"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.119"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.211"},{"key":"ref49","first-page":"6000","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc 31st Int Conf Neural Inf Process Syst"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.392"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2953187"},{"key":"ref45","article-title":"Temporal convolution based action proposal: Submission to ActivityNet 2017","author":"lin","year":"2017","journal-title":"arXiv 1707 06750"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2599174"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00685"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.59"},{"key":"ref43","first-page":"4694","article-title":"Beyond short snippets: Deep networks for video classification","author":"ng","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/6287639\/9312710\/9530693-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09530693.pdf?arnumber=9530693","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,8]],"date-time":"2022-04-08T18:53:43Z","timestamp":1649444023000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9530693\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":64,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3110973","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2021]]}}}