{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T14:46:07Z","timestamp":1774277167071,"version":"3.50.1"},"reference-count":12,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,7]]},"DOI":"10.1109\/icmew.2017.8026285","type":"proceedings-article","created":{"date-parts":[[2017,9,7]],"date-time":"2017-09-07T20:34:59Z","timestamp":1504816499000},"page":"597-600","source":"Crossref","is-referenced-by-count":137,"title":["Skeleton-based action recognition with convolutional neural networks"],"prefix":"10.1109","author":[{"family":"Chao Li","sequence":"first","affiliation":[]},{"family":"Qiaoyong Zhong","sequence":"additional","affiliation":[]},{"family":"Di Xie","sequence":"additional","affiliation":[]},{"family":"Shiliang Pu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2017.01.011"},{"key":"ref10","first-page":"568","article-title":"Two-stream convolutional networks for action recognition in videos","author":"simonyan","year":"0","journal-title":"Advances in neural information processing systems"},{"key":"ref6","article-title":"An end-to-end spatio-temporal attention model for human action recognition from skeleton data","author":"song","year":"0","journal-title":"AAAI Conference on Artificial Intelligence"},{"key":"ref11","first-page":"1319","article-title":"Maxout networks","volume":"28","author":"goodfellow","year":"0","journal-title":"ICML"},{"key":"ref5","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v30i1.10451","article-title":"Co-occurrence feature learning for skeleton based action recognition using regularized deep lstm networks","author":"zhu","year":"2016"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46478-7_13"},{"key":"ref8","doi-asserted-by":"crossref","DOI":"10.1109\/CVPR.2017.486","article-title":"A new representation of skeleton sequences for 3d action recognition","author":"ke","year":"2017"},{"key":"ref7","doi-asserted-by":"crossref","DOI":"10.1109\/ICCV.2017.233","article-title":"View adaptive recurrent neural networks for high performance human action recognition from skeleton data","author":"zhang","year":"2017"},{"key":"ref2","article-title":"PKU-MMD: A large scale benchmark for continuous multi-modal human action understanding","author":"liu","year":"2017"},{"key":"ref9","doi-asserted-by":"crossref","DOI":"10.1109\/ICCV.2017.617","article-title":"R-C3D: Region convolutional 3d network for temporal activity detection","author":"xu","year":"2017"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.115"}],"event":{"name":"2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)","location":"Hong Kong, Hong Kong","start":{"date-parts":[[2017,7,10]]},"end":{"date-parts":[[2017,7,14]]}},"container-title":["2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8014334\/8026209\/08026285.pdf?arnumber=8026285","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T12:14:03Z","timestamp":1659442443000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8026285\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,7]]},"references-count":12,"URL":"https:\/\/doi.org\/10.1109\/icmew.2017.8026285","relation":{},"subject":[],"published":{"date-parts":[[2017,7]]}}}