{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T03:55:07Z","timestamp":1725508507381},"reference-count":0,"publisher":"SCITEPRESS - Science and Technology Publications","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.5220\/0010230103990408","type":"proceedings-article","created":{"date-parts":[[2021,2,17]],"date-time":"2021-02-17T17:50:50Z","timestamp":1613584250000},"page":"399-408","source":"Crossref","is-referenced-by-count":0,"title":["A Snapshot-based Approach for Self-supervised Feature Learning and Weakly-supervised Classification on Point Cloud Data"],"prefix":"10.5220","author":[{"given":"Xingye","family":"Li","sequence":"first","affiliation":[{"name":"The City College of New York - CUNY, New York, U.S.A., --- Select a Country ---"}]},{"given":"Zhigang","family":"Zhu","sequence":"first","affiliation":[{"name":"The City College of New York - CUNY, New York, U.S.A., --- Select a Country ---"},{"name":"The Graduate Center - CUNY, New York, U.S.A., --- Select a Country ---"}]}],"member":"3171","event":{"name":"16th International Conference on Computer Vision Theory and Applications","start":{"date-parts":[[2021,2,8]]},"location":"Online Streaming, --- Select a Country ---","end":{"date-parts":[[2021,2,10]]}},"container-title":["Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications"],"original-title":["A Snapshot-based Approach for Self-supervised Feature Learning and Weakly-supervised Classification on Point Cloud Data"],"deposited":{"date-parts":[[2021,2,17]],"date-time":"2021-02-17T17:51:31Z","timestamp":1613584291000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.scitepress.org\/DigitalLibrary\/Link.aspx?doi=10.5220\/0010230103990408"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":0,"URL":"https:\/\/doi.org\/10.5220\/0010230103990408","relation":{},"subject":[],"published":{"date-parts":[[2021]]}}}