{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T00:55:28Z","timestamp":1769820928057,"version":"3.49.0"},"reference-count":41,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"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":[[2022,7,18]]},"DOI":"10.1109\/ijcnn55064.2022.9892122","type":"proceedings-article","created":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T19:56:04Z","timestamp":1664567764000},"page":"1-8","source":"Crossref","is-referenced-by-count":8,"title":["YogaTube: A Video Benchmark for Yoga Action Recognition"],"prefix":"10.1109","author":[{"given":"Santosh Kumar","family":"Yadav","sequence":"first","affiliation":[{"name":"National University of Ireland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guntaas","family":"Singh","sequence":"additional","affiliation":[{"name":"Birla Institute of Technology and Science"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manisha","family":"Verma","sequence":"additional","affiliation":[{"name":"Osaka University,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kamlesh","family":"Tiwari","sequence":"additional","affiliation":[{"name":"Birla Institute of Technology and Science"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hari Mohan","family":"Pandey","sequence":"additional","affiliation":[{"name":"Bournemouth University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaik Ali","family":"Akbar","sequence":"additional","affiliation":[{"name":"AcSIR, CSIR-CEERI,Pilani"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter","family":"Corcoran","sequence":"additional","affiliation":[{"name":"National University of Ireland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74936-3_22"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1117\/12.965761"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-019-04232-7"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/s19235129"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00630"},{"key":"ref30","first-page":"7794","article-title":"Non-local neural networks","author":"wang","year":"2018","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.29007\/wcl4"},{"key":"ref36","first-page":"483","article-title":"Stacked hourglass networks for human pose estimation","author":"newell","year":"0","journal-title":"European Conference on Computer Vision"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2915095"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-018-5721-2"},{"key":"ref10","article-title":"The kinetics human action video dataset","author":"kay","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref40","author":"abadi","year":"2015","journal-title":"TensorFlow Large-Scale Machine Learning on Heterogeneous Systems"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.29007\/h68j"},{"key":"ref12","article-title":"A short note on the kinetics-700 human action dataset","author":"carreira","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00633"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.622"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00876"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58558-7_35"},{"key":"ref17","article-title":"Avid dataset: Anonymized videos from diverse countries","author":"piergiovanni","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00269"},{"key":"ref19","article-title":"Haa500: Human-centric atomic action dataset with curated videos","author":"chung","year":"2020","journal-title":"Report arXiv"},{"key":"ref28","first-page":"305","article-title":"Rethinking spa-tiotemporal feature learning: Speed-accuracy trade-offs in video classification","author":"xie","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.471"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.502"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.223"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126543"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00685"},{"key":"ref5","article-title":"Ucfl0l: A dataset of 101 human actions classes from videos in the wild","author":"soomro","year":"2012","journal-title":"ArXiv Preprint"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00527"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2904880"},{"key":"ref2","first-page":"961","article-title":"Activity net: A large-scale video benchmark for human activity under-standing","author":"heilbron","year":"2015","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref9","article-title":"Youtube-8m: A large-scale video classi-fication benchmark","author":"abu-el-haija","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2014.04.011"},{"key":"ref20","article-title":"Two-stream convolutional networks for action recognition in videos","author":"simonyan","year":"2014","journal-title":"ArXiv Preprint"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2868668"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299059"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_49"},{"key":"ref41","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"ArXiv Preprint"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.213"},{"key":"ref26","first-page":"4489","article-title":"Learning spatiotemporal features with 3d convolutional networks","author":"tran","year":"2015","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00718"}],"event":{"name":"2022 International Joint Conference on Neural Networks (IJCNN)","location":"Padua, Italy","start":{"date-parts":[[2022,7,18]]},"end":{"date-parts":[[2022,7,23]]}},"container-title":["2022 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9891857\/9889787\/09892122.pdf?arnumber=9892122","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T22:57:35Z","timestamp":1667516255000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9892122\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/ijcnn55064.2022.9892122","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}