{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T06:53:25Z","timestamp":1778568805527,"version":"3.51.4"},"reference-count":90,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&D Program of China","award":["2021ZD0112902"],"award-info":[{"award-number":["2021ZD0112902"]}]},{"name":"Vannevar Bush faculty fellowship, ARL","award":["W911NF2120104"],"award-info":[{"award-number":["W911NF2120104"]}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-1763268"],"award-info":[{"award-number":["IIS-1763268"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Autodesk Corporation"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2023,2,1]]},"DOI":"10.1109\/tpami.2022.3164653","type":"journal-article","created":{"date-parts":[[2022,4,5]],"date-time":"2022-04-05T19:32:03Z","timestamp":1649187123000},"page":"2038-2053","source":"Crossref","is-referenced-by-count":36,"title":["Multiway Non-Rigid Point Cloud Registration via Learned Functional Map Synchronization"],"prefix":"10.1109","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6320-2636","authenticated-orcid":false,"given":"Jiahui","family":"Huang","sequence":"first","affiliation":[{"name":"Department of Computer Science and Technology, BNRist, Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7915-7964","authenticated-orcid":false,"given":"Tolga","family":"Birdal","sequence":"additional","affiliation":[{"name":"Stanford University, Stanford, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6392-2158","authenticated-orcid":false,"given":"Zan","family":"Gojcic","sequence":"additional","affiliation":[{"name":"Nvidia, Toronto, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leonidas J.","family":"Guibas","sequence":"additional","affiliation":[{"name":"Stanford University, Stanford, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7507-6542","authenticated-orcid":false,"given":"Shi-Min","family":"Hu","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, BNRist, Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ISMAR.2013.6671769"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2766945"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298631"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00280"},{"key":"ref5","article-title":"Bayesian pose graph optimization via bingham distributions and tempered geodesic MCMC","volume-title":"Proc. 32nd Int. Conf. Neural Inf. Process. Syst.","author":"Birdal"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44480-7_21"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00703"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00564"},{"key":"ref9","first-page":"109","article-title":"As-rigid-as-possible surface modeling","volume-title":"Proc. Symp. Geometry Process.","author":"Sorkine"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CCV.1988.590011"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2185520.2185526"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13238"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1987.4767965"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01158"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00425"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_1"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00028"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00336"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383165"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.46"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00762"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/1276377.1276478"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00150"},{"issue":"3","key":"ref24","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1023\/A:1008000628999","article-title":"A multibody factorization method for independently moving objects","volume":"29","author":"Costeira","year":"1998","journal-title":"Int. J. Comput. Vis."},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00597"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00224"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01288"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58558-7_6"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58604-1_32"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00043"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/3DV53792.2021.00087"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3355089.3356524"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13123"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00862"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.603"},{"key":"ref36","first-page":"10491","article-title":"Deep shells: Unsupervised shape correspondence with optimal transport","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Eisenberger"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00170"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00450"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00377"},{"key":"ref40","first-page":"1608","article-title":"Correspondence learning via linearly-invariant embedding","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Marin"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3507905"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00627"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01287"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-012-0601-0"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00164"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.110"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01136"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01292"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3386569.3392402"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00183"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2010.01655.x"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/2601097.2601111"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13799"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.14084"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01396"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/2988458.2988494"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00319"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.14069"},{"key":"ref59","first-page":"1171","article-title":"Scheduled sampling for sequence prediction with recurrent neural networks","volume-title":"Proc. 28th Int. Conf. Neural Inf. Process. Syst.","author":"Bengio"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-4380-9_35"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1974.10482962"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13124"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00650"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073711"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01247"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00703"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01111"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1145\/2659467.2675048"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00062"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.263"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00745"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01216-8_15"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00755"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01016"},{"key":"ref75","article-title":"Decoupled weight decay regularization","author":"Loshchilov","year":"2017"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00259"},{"key":"ref77","article-title":"Instance normalization: The missing ingredient for fast stylization","author":"Ulyanov","year":"2016"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.491"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2020.2988476"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01141"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298976"},{"key":"ref82","first-page":"7435","article-title":"Learning elementary structures for 3d shape generation and matching","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Deprelle"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00443"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01224"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.438"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1137\/140977680"},{"issue":"137","key":"ref87","first-page":"1","article-title":"Pymanopt: A python toolbox for optimization on manifolds using automatic differentiation","volume":"17","author":"Townsend","year":"2016","journal-title":"J. Mach. Learn. Res."},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.581"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1145\/2487228.2487237"},{"key":"ref90","first-page":"19 264","article-title":"Weakly supervised deep functional maps for shape matching","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Sharma"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/34\/10008914\/9749887-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/10008914\/09749887.pdf?arnumber=9749887","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T00:19:01Z","timestamp":1705537141000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9749887\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2,1]]},"references-count":90,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2022.3164653","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,2,1]]}}}