{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T15:30:06Z","timestamp":1777995006336,"version":"3.51.4"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,4,14]],"date-time":"2024-04-14T00:00:00Z","timestamp":1713052800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,4,14]],"date-time":"2024-04-14T00:00:00Z","timestamp":1713052800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004147","name":"Tsinghua University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004147","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,4,14]]},"DOI":"10.1109\/icassp48485.2024.10447668","type":"proceedings-article","created":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T18:56:31Z","timestamp":1710788191000},"page":"5780-5784","source":"Crossref","is-referenced-by-count":6,"title":["A Novel Contrastive Diffusion Graph Convolutional Network for Few-Shot Skeleton-Based Action Recognition"],"prefix":"10.1109","author":[{"given":"Chao","family":"Wei","sequence":"first","affiliation":[{"name":"Institute for Artificial Intelligence at Tsinghua University (THUAI),Beijing National Research Center for Information Science and Technology (BNRist)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhidong","family":"Deng","sequence":"additional","affiliation":[{"name":"Institute for Artificial Intelligence at Tsinghua University (THUAI),Beijing National Research Center for Information Science and Technology (BNRist)"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.502"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.510"},{"key":"ref3","article-title":"\u2018Two-stream convolutional networks for action recognition in videos","volume":"27","author":"Simonyan","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref4","article-title":"\u2018Audiovisual slow-fast networks for video recognition","author":"Xiao","year":"2020"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12328"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01446-y"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00313"},{"key":"ref8","article-title":"\u2018Metric-based few-shot learning for video action recognition","author":"Careaga","year":"2019"},{"key":"ref9","first-page":"7793","article-title":"\u2018Beyond homophily in graph neural networks: Current limitations and effective designs","volume":"33","author":"Zhu","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref10","article-title":"\u2018Graph neural networks exponentially lose expressive power for node classification","author":"Oono","year":"2019"},{"key":"ref11","article-title":"\u2018Generalized cross entropy loss for training deep neural networks with noisy labels","volume":"31","author":"Zhang","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref12","article-title":"Large margin deep networks for classification","volume":"31","author":"Elsayed","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref13","article-title":"\u2018Semi-supervised classification with graph convolutional networks","author":"Kipf","year":"2016"},{"key":"ref14","article-title":"\u2018Fourier neural operator for parametric partial differential equations","author":"Li","year":"2020"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s41468-019-00038-7"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00022"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19772-7_11"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2916873"},{"key":"ref19","article-title":"\u2018The kinetics human action video dataset","author":"Kay","year":"2017"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01230"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.143"}],"event":{"name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Seoul, Korea, Republic of","start":{"date-parts":[[2024,4,14]]},"end":{"date-parts":[[2024,4,19]]}},"container-title":["ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10445798\/10445803\/10447668.pdf?arnumber=10447668","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T05:56:16Z","timestamp":1722578176000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10447668\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,14]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/icassp48485.2024.10447668","relation":{},"subject":[],"published":{"date-parts":[[2024,4,14]]}}}