{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T16:51:32Z","timestamp":1780764692826,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":46,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,12,10]],"date-time":"2023-12-10T00:00:00Z","timestamp":1702166400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["Nos. 62036010, 61972344"],"award-info":[{"award-number":["Nos. 62036010, 61972344"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key R & D Program of Zhejiang","award":["No. 2023C01047"],"award-info":[{"award-number":["No. 2023C01047"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,12,10]]},"DOI":"10.1145\/3610548.3618148","type":"proceedings-article","created":{"date-parts":[[2023,12,11]],"date-time":"2023-12-11T12:28:40Z","timestamp":1702297720000},"page":"1-11","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["A Locality-based Neural Solver for Optical Motion Capture"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7992-9581","authenticated-orcid":false,"given":"Xiaoyu","family":"Pan","sequence":"first","affiliation":[{"name":"State Key Laboratory of CAD & CG, Zhejiang University; ZJU-Tencent Game and Intelligent Graphics Innovation Technology Joint Lab, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7800-3071","authenticated-orcid":false,"given":"Bowen","family":"Zheng","sequence":"additional","affiliation":[{"name":"State Key Laboratory of CAD & CG, Zhejiang University; ZJU-Tencent Game and Intelligent Graphics Innovation Technology Joint Lab, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1766-3332","authenticated-orcid":false,"given":"Xinwei","family":"Jiang","sequence":"additional","affiliation":[{"name":"Tencent Games Digital Content Technology Center, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-0510-9924","authenticated-orcid":false,"given":"Guanglong","family":"Xu","sequence":"additional","affiliation":[{"name":"Tencent Games Digital Content Technology Center, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-4531-5663","authenticated-orcid":false,"given":"Xianli","family":"Gu","sequence":"additional","affiliation":[{"name":"Tencent Games Digital Content Technology Center, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-4185-168X","authenticated-orcid":false,"given":"Jingxiang","family":"Li","sequence":"additional","affiliation":[{"name":"Tencent Games Digital Content Technology Center, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5222-7069","authenticated-orcid":false,"given":"Qilong","family":"Kou","sequence":"additional","affiliation":[{"name":"Tencent Technology (Shenzhen) Co., LTD, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2281-5679","authenticated-orcid":false,"given":"He","family":"Wang","sequence":"additional","affiliation":[{"name":"University College London (UCL), United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5485-3752","authenticated-orcid":false,"given":"Tianjia","family":"Shao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of CAD & CG, Zhejiang University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4243-6112","authenticated-orcid":false,"given":"Kun","family":"Zhou","sequence":"additional","affiliation":[{"name":"State Key Laboratory of CAD & CG, Zhejiang University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7339-2920","authenticated-orcid":false,"given":"Xiaogang","family":"Jin","sequence":"additional","affiliation":[{"name":"State Key Lab of CAD&CG, Zhejiang University; ZJU-Tencent Game and Intelligent Graphics Innovation Technology Joint Lab, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,12,11]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"2000. CMU Graphics Lab Motion Capture Database. http:\/\/mocap.cs.cmu.edu\/"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3386569.3392462"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"crossref","unstructured":"Andreas Aristidou Daniel Cohen-Or Jessica\u00a0K Hodgins and Ariel Shamir. 2018. Self-similarity Analysis for Motion Capture Cleaning. In Computer graphics forum (CGF) Vol.\u00a037. 297\u2013309.","DOI":"10.1111\/cgf.13362"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-011-0671-y"},{"key":"e_1_3_2_2_5_1","volume-title":"Data-Driven Completion of Motion Capture Data. VRIPHYS 2011 - 8th Workshop on Virtual Reality Interactions and Physical Simulations, 111\u2013118","author":"Baumann Jan","year":"2011","unstructured":"Jan Baumann, Bj\u00f6rn Kr\u00fcger, Arno Zinke, and Andreas Weber. 2011. Data-Driven Completion of Motion Capture Data. VRIPHYS 2011 - 8th Workshop on Virtual Reality Interactions and Physical Simulations, 111\u2013118."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbiomech.2016.04.016"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_23"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/1186822.1073248"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3450626.3459681"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01726"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475581"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.03.013"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01093"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01553"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.5555\/872743.872908"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3197517.3201302"},{"key":"e_1_3_2_2_17_1","volume-title":"Part Aware Contrastive Learning for Self-Supervised Action Recognition. International Joint Conference on Artificial Intelligence (IJCAI)","author":"Hua Yilei","year":"2023","unstructured":"Yilei Hua, Wenhan Wu, Ce Zheng, Aidong Lu, Mengyuan Liu, Chen Chen, and Shiqian Wu. 2023. Part Aware Contrastive Learning for Self-Supervised Action Recognition. International Joint Conference on Artificial Intelligence (IJCAI) (2023)."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/1186223.1186260"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557078"},{"key":"e_1_3_2_2_20_1","volume-title":"Symposium on Computer Animation (SCA). 179\u2013188","author":"Li Lei","year":"2010","unstructured":"Lei Li, James McCann, Nancy\u00a0S. Pollard, and Christos Faloutsos. 2010. BoLeRO: a principled technique for including bone length constraints in motion capture occlusion filling. In Symposium on Computer Animation (SCA). 179\u2013188."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-006-0080-9"},{"key":"e_1_3_2_2_22_1","volume-title":"Automatic Motion Capture Data Denoising via Filtered Subspace Clustering and Low Rank Matrix Approximation. Signal processing 105","author":"Liu Xin","year":"2014","unstructured":"Xin Liu, Yiu-ming Cheung, Shu-Juan Peng, Zhen Cui, Bineng Zhong, and Ji-Xiang Du. 2014. Automatic Motion Capture Data Denoising via Filtered Subspace Clustering and Low Rank Matrix Approximation. Signal processing 105 (2014), 350\u2013362."},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01488-2"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00554"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3010248"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01123"},{"key":"e_1_3_2_2_27_1","volume-title":"Real-time Marker-based Finger Tracking with Neural Networks. In 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). IEEE, 651\u2013652","author":"Pavllo Dario","year":"2018","unstructured":"Dario Pavllo, Thibault Porssut, Bruno Herbelin, and Ronan Boulic. 2018. Real-time Marker-based Finger Tracking with Neural Networks. In 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). IEEE, 651\u2013652."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3359566.3360060"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3130800.3130883"},{"key":"e_1_3_2_2_30_1","volume-title":"Smoothing and differentiation of data by simplified least squares procedures.Analytical chemistry 36, 8","author":"Savitzky Abraham","year":"1964","unstructured":"Abraham Savitzky and Marcel\u00a0JE Golay. 1964. Smoothing and differentiation of data by simplified least squares procedures.Analytical chemistry 36, 8 (1964), 1627\u20131639."},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0293-2"},{"key":"e_1_3_2_2_32_1","volume-title":"GRAB: A Dataset of Whole-Body Human Grasping of Objects. In European Conference on Computer Vision (ECCV). 581\u2013600","author":"Taheri Omid","year":"2020","unstructured":"Omid Taheri, Nima Ghorbani, Michael\u00a0J. Black, and Dimitrios Tzionas. 2020. GRAB: A Dataset of Whole-Body Human Grasping of Objects. In European Conference on Computer Vision (ECCV). 581\u2013600."},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/1966394.1966397"},{"key":"e_1_3_2_2_34_1","volume-title":"Human Motion Diffusion Model. In The Eleventh International Conference on Learning Representations (ICLR).","author":"Tevet Guy","year":"2022","unstructured":"Guy Tevet, Sigal Raab, Brian Gordon, Yoni Shafir, Daniel Cohen-or, and Amit\u00a0Haim Bermano. 2022. Human Motion Diffusion Model. In The Eleventh International Conference on Learning Representations (ICLR)."},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0199744"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02288916"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.5244\/C.31.14"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.492"},{"key":"e_1_3_2_2_39_1","unstructured":"Vicon. 2023. Vicon Shogun."},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSP.2016.7877975"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2014.08.017"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12328"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/1777406.1777414"},{"key":"e_1_3_2_2_44_1","volume-title":"Deep learning-based human pose estimation: A survey. Comput. Surveys","author":"Zheng Ce","year":"2020","unstructured":"Ce Zheng, Wenhan Wu, Chen Chen, Taojiannan Yang, Sijie Zhu, Ju Shen, Nasser Kehtarnavaz, and Mubarak Shah. 2020. Deep learning-based human pose estimation: A survey. Comput. Surveys (2020)."},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12532-019-00168-0"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.5555\/846276.846311"}],"event":{"name":"SA '23: SIGGRAPH Asia 2023","location":"Sydney NSW Australia","acronym":"SA '23","sponsor":["SIGGRAPH ACM Special Interest Group on Computer Graphics and Interactive Techniques"]},"container-title":["SIGGRAPH Asia 2023 Conference Papers"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3610548.3618148","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3610548.3618148","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T09:32:13Z","timestamp":1755768733000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3610548.3618148"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,10]]},"references-count":46,"alternative-id":["10.1145\/3610548.3618148","10.1145\/3610548"],"URL":"https:\/\/doi.org\/10.1145\/3610548.3618148","relation":{},"subject":[],"published":{"date-parts":[[2023,12,10]]},"assertion":[{"value":"2023-12-11","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}