{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T11:06:32Z","timestamp":1730199992834,"version":"3.28.0"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,15]]},"DOI":"10.1109\/bigdata52589.2021.9671665","type":"proceedings-article","created":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T20:39:16Z","timestamp":1642106356000},"page":"4506-4513","source":"Crossref","is-referenced-by-count":0,"title":["Improving Sign Video Modeling Using Graph Neural Network"],"prefix":"10.1109","author":[{"given":"Al Amin","family":"Hosain","sequence":"first","affiliation":[]},{"given":"Huzefa","family":"Rangwala","sequence":"additional","affiliation":[]},{"given":"Jana","family":"Kosecka","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-60639-8_40"},{"key":"ref32","article-title":"Attention is all you need","volume":"abs 1706 3762","author":"vaswani","year":"2017","journal-title":"CoRR"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00355"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00380"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01267-0_19"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/FG47880.2020.00062"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.59"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-16178-5_40"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2019.00035"},{"article-title":"MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language","year":"0","author":"vaezi joze","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093512"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.502"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00347"},{"article-title":"Word-level sign language recognition with multi-stream neural networks focusing on local regions","year":"2021","author":"maruyama","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00381"},{"key":"ref28","article-title":"Adam: A method for stochastic optimization","volume":"abs 1412 6980","author":"kingma","year":"2014","journal-title":"CoRR"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2629481"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00383"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2070481.2070532"},{"key":"ref6","first-page":"89","article-title":"Sign language recognition using sub-units, booktitle=gesture recognition","author":"cooper","year":"2017"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00385"},{"article-title":"Sign language recognition using a combination of new vision based features, journal = pattern recognition letters","year":"0","author":"zaki","key":"ref5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.5244\/C.25.75"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.226"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2010.937"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.412"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00386"},{"key":"ref20","article-title":"Pose Flow: Efficient online pose tracking","author":"xiu","year":"2018","journal-title":"BMVC"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.511"},{"key":"ref21","article-title":"OpenPose: realtime multi-person 2D pose estimation using Part Affinity Fields","author":"cao","year":"2018","journal-title":"arXiv preprint arXiv 1812 08942"},{"key":"ref24","article-title":"Semi-supervised classification with graph convolutional networks","volume":"abs 1609 2907","author":"kipf","year":"2016","journal-title":"CoRR"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3028072"},{"key":"ref25","article-title":"Fast graph representation learning with PyTorch Geometric","author":"fey","year":"2019","journal-title":"ICLR Workshop on Representation Learning on Graphs and Manifolds"}],"event":{"name":"2021 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2021,12,15]]},"location":"Orlando, FL, USA","end":{"date-parts":[[2021,12,18]]}},"container-title":["2021 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9671263\/9671273\/09671665.pdf?arnumber=9671665","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:55:24Z","timestamp":1652201724000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9671665\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,15]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/bigdata52589.2021.9671665","relation":{},"subject":[],"published":{"date-parts":[[2021,12,15]]}}}