{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T19:03:37Z","timestamp":1767035017285,"version":"3.37.3"},"reference-count":60,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022YFE0116700"],"award-info":[{"award-number":["2022YFE0116700"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62171125","61876037","31800825"],"award-info":[{"award-number":["62171125","61876037","31800825"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Innovation Project of Jiangsu Province","award":["BZ2023042","BY2022564"],"award-info":[{"award-number":["BZ2023042","BY2022564"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. Video Technol."],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1109\/tcsvt.2024.3376404","type":"journal-article","created":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T20:24:07Z","timestamp":1710793447000},"page":"8327-8342","source":"Crossref","is-referenced-by-count":11,"title":["Improving End-to-End Sign Language Translation With Adaptive Video Representation Enhanced Transformer"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9375-2409","authenticated-orcid":false,"given":"Zidong","family":"Liu","sequence":"first","affiliation":[{"name":"LIST, the Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, and Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Southeast University, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7171-1318","authenticated-orcid":false,"given":"Jiasong","family":"Wu","sequence":"additional","affiliation":[{"name":"LIST, the Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, and Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Southeast University, Nanjing, China"}]},{"given":"Zeyu","family":"Shen","sequence":"additional","affiliation":[{"name":"LIST, the Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, and Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Southeast University, Nanjing, China"}]},{"given":"Xin","family":"Chen","sequence":"additional","affiliation":[{"name":"LIST, the Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, and Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Southeast University, Nanjing, China"}]},{"given":"Qianyu","family":"Wu","sequence":"additional","affiliation":[{"name":"LIST, the Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, and Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Southeast University, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8991-9907","authenticated-orcid":false,"given":"Zhiguo","family":"Gui","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Dynamic Testing Technology, North University of China, Taiyuan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9434-6341","authenticated-orcid":false,"given":"Lotfi","family":"Senhadji","sequence":"additional","affiliation":[{"name":"INSERM, LTSI-UMR 1099, and CRIBs, Univ-Rennes, Rennes, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3833-7915","authenticated-orcid":false,"given":"Huazhong","family":"Shu","sequence":"additional","affiliation":[{"name":"LIST, the Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, and Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Southeast University, Nanjing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.175"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2870740"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11903"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2911077"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.2999384"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093512"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01134"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3296668"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.525"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01004"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-66823-5_18"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00137"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3059098"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3109665"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475544"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00219"},{"key":"ref17","article-title":"A token-level contrastive framework for sign language translation","author":"Fu","year":"2022","journal-title":"arXiv:2204.04916"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-emnlp.904"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00506"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00812"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/FG47880.2020.00002"},{"key":"ref22","first-page":"12034","article-title":"TSPNet: Hierarchical feature learning via temporal semantic pyramid for sign language translation","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst. (NeurIPS)","author":"Li"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00251"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01908"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2992393"},{"key":"ref27","article-title":"Masked feature prediction for self-supervised visual pre-training","author":"Wei","year":"2021","journal-title":"arXiv:2112.09133"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01105"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3177320"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2005.06.042"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2020.3039600"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3181490"},{"key":"ref33","first-page":"1","article-title":"Challenges in development of the American Sign Language Lexicon Video Dataset (ASLLVD) corpus","volume-title":"Proc. 5th Workshop Represent. Process. Sign Languages, Interact. Corpus Lexicon, Lang. Resour. Eval. Conf. (LREC)","author":"Neidle"},{"key":"ref34","first-page":"1","article-title":"MS-ASL: A large-scale data set and benchmark for understanding American sign language","volume-title":"Proc. Brit. Mach. Vis. Conf. (BMVC)","author":"Joze"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00276"},{"key":"ref36","article-title":"YouTube-ASL: A large-scale, open-domain American sign language-English parallel corpus","author":"Uthus","year":"2023","journal-title":"arXiv:2306.15162"},{"key":"ref37","first-page":"1911","article-title":"Extensions of the sign language recognition and translation corpus RWTH-PHOENIX-weather","volume-title":"Proc. 9th Int. Conf. Lang. Resour. Eval. (LREC)","author":"Forster"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3352587"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/FG52635.2021.9667011"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3292418"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3216479"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3114209"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58604-1_26"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3141051"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00586"},{"key":"ref46","first-page":"7763","article-title":"Cooperative learning of audio and video models from self-supervised synchronization","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst. (NeurIPS)","author":"Korbar"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00756"},{"key":"ref48","first-page":"6105","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","volume-title":"Proc. 36th Int. Conf. Mach. Learn.","author":"Tan"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01267-0_19"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCIS48478.2019.8974493"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2929257"},{"key":"ref52","first-page":"311","article-title":"BLEU: A method for automatic evaluation of machine translation","volume-title":"Proc. 40th Annu. Meeting Assoc. Comput. Linguistics","author":"Papineni"},{"key":"ref53","first-page":"74","article-title":"Rouge: A package for automatic evaluation of summaries","volume-title":"Proc. Workshop Text Summarization ACL","author":"Lin"},{"key":"ref54","first-page":"1","article-title":"Decoupled weight decay regularization","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Loshchilov"},{"key":"ref55","article-title":"Google\u2019s neural machine translation system: Bridging the gap between human and machine translation","author":"Wu","year":"2016","journal-title":"arXiv:1609.08144"},{"key":"ref56","article-title":"ADADELTA: An adaptive learning rate method","author":"Zeiler","year":"2012","journal-title":"arXiv:1212.5701"},{"key":"ref57","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Kingma"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2015.69"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.412"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_19"}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/76\/10700029\/10466749.pdf?arnumber=10466749","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T05:53:27Z","timestamp":1727762007000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10466749\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9]]},"references-count":60,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2024.3376404","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"type":"print","value":"1051-8215"},{"type":"electronic","value":"1558-2205"}],"subject":[],"published":{"date-parts":[[2024,9]]}}}