{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T14:44:07Z","timestamp":1777128247839,"version":"3.51.4"},"reference-count":90,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Project of China","doi-asserted-by":"publisher","award":["2018AAA0101900"],"award-info":[{"award-number":["2018AAA0101900"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. Video Technol."],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1109\/tcsvt.2022.3197395","type":"journal-article","created":{"date-parts":[[2022,8,8]],"date-time":"2022-08-08T19:56:25Z","timestamp":1659988585000},"page":"8717-8729","source":"Crossref","is-referenced-by-count":17,"title":["3D-Pruning: A Model Compression Framework for Efficient 3D Action Recognition"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1956-3367","authenticated-orcid":false,"given":"Jinyang","family":"Guo","sequence":"first","affiliation":[{"name":"Institute of Artificial Intelligence, Beihang University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5183-8538","authenticated-orcid":false,"given":"Jiaheng","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Beihang University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2775-9730","authenticated-orcid":false,"given":"Dong","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref73","first-page":"1","article-title":"Pruning filters for efficient convnets","author":"li","year":"2016","journal-title":"Proc ICLR"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/186"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01594"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3007826"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2010.5543273"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.339"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.155"},{"key":"ref74","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"arXiv 1704 04861"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00215"},{"key":"ref75","first-page":"1","article-title":"Layer-adaptive sparsity for the magnitude-based pruning","author":"lee","year":"2021","journal-title":"Proc ICLR"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2533389"},{"key":"ref79","first-page":"1010","article-title":"NTU RGB+D: A large scale dataset for 3D human activity analysis","author":"shahroudy","year":"2016","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.298"},{"key":"ref32","first-page":"1","article-title":"Discrimination-aware channel pruning for deep neural networks","author":"zhuang","year":"2018","journal-title":"Proc NeurIPS"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3051377"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2957821"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00161"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00160"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00153"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00158"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.205"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_12"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01147"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00167"},{"key":"ref28","first-page":"1","article-title":"PointNet++: Deep hierarchical feature learning on point sets in a metric space","author":"qi","year":"2017","journal-title":"Proc NeurIPS"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00310"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01597"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_31"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132947"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.3023051"},{"key":"ref67","first-page":"1","article-title":"LiteEval: A coarse-to-fine framework for resource efficient video recognition","author":"wu","year":"2019","journal-title":"Proc NeurIPS"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00137"},{"key":"ref69","first-page":"1","article-title":"Model Rubik’s cube: Twisting resolution, depth and width for TinyNets","volume":"33","author":"han","year":"2020","journal-title":"Proc NeurIPS"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3101847"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00059"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.16"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00939"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3326362"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3102025"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58604-1_41"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00156"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00292"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3105820"},{"key":"ref51","first-page":"1","article-title":"DARTS: Differentiable architecture search","author":"liu","year":"2019","journal-title":"Proc ICLR"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014780"},{"key":"ref59","first-page":"1","article-title":"Multi-scale dense networks for resource efficient image classification","author":"huang","year":"2018","journal-title":"Proc ICLR"},{"key":"ref58","article-title":"CBANet: Towards complexity and bitrate adaptive deep image compression using a single network","author":"guo","year":"2021","journal-title":"arXiv 2105 12386"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01104"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00850"},{"key":"ref55","first-page":"1","article-title":"Channel gating neural networks","author":"hua","year":"2019","journal-title":"Proc NeurIPS"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_25"},{"key":"ref53","article-title":"Dynamic neural networks: A survey","author":"han","year":"2021","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3028288"},{"key":"ref10","article-title":"SequentialPointNet: A strong frame-level parallel point cloud sequence network for 3D action recognition","author":"li","year":"2021","journal-title":"arXiv 2111 08492"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6720"},{"key":"ref11","first-page":"1","article-title":"Point-voxel CNN for efficient 3D deep learning","author":"liu","year":"2019","journal-title":"Proc NeurIPS"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00910"},{"key":"ref13","first-page":"1","article-title":"PointCNN: Convolution on ?-transformed points","author":"li","year":"2018","journal-title":"Proc NeruIPS"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3193290"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00268"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58580-8_35"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_6"},{"key":"ref81","article-title":"Network pruning using adaptive exemplar filters","author":"lin","year":"2021","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00062"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3149332"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00337"},{"key":"ref83","article-title":"Filter sketch for network pruning","author":"lin","year":"2021","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref19","article-title":"PointPWC-Net: A coarse-to-fine network for supervised and self-supervised scene flow estimation on 3D point clouds","author":"wu","year":"2019","journal-title":"arXiv 1911 12408"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2916873"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01099"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00934"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_48"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2769085"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01398"},{"key":"ref85","article-title":"Revisiting batch normalization for practical domain adaptation","author":"li","year":"2016","journal-title":"arXiv 1603 04779"},{"key":"ref8","article-title":"Deep hierarchical representation of point cloud videos via spatio-temporal decomposition","author":"fan","year":"2021","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3183829"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3147269"},{"key":"ref7","first-page":"1","article-title":"PSTNet: Point spatio-temporal convolution on point cloud sequences","author":"fan","year":"2021","journal-title":"Proc ICLR"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01653"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.541"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3161735"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/94"},{"key":"ref45","first-page":"4035","article-title":"Discrimination-aware network pruning for deep model compression","volume":"44","author":"liu","year":"2022","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.2996231"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00339"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2911674"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_38"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00447"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.3013170"}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/76\/9973795\/09852466.pdf?arnumber=9852466","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,26]],"date-time":"2022-12-26T19:12:12Z","timestamp":1672081932000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9852466\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12]]},"references-count":90,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2022.3197395","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"value":"1051-8215","type":"print"},{"value":"1558-2205","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12]]}}}