{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,11]],"date-time":"2025-05-11T14:41:20Z","timestamp":1746974480603,"version":"3.37.3"},"reference-count":84,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2024,3]]},"DOI":"10.1109\/tpami.2022.3233431","type":"journal-article","created":{"date-parts":[[2023,1,2]],"date-time":"2023-01-02T19:00:18Z","timestamp":1672686018000},"page":"1852-1867","source":"Crossref","is-referenced-by-count":3,"title":["Learning Implicit Functions for Dense 3D Shape Correspondence of Generic Objects"],"prefix":"10.1109","volume":"46","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2103-4659","authenticated-orcid":false,"given":"Feng","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3215-8753","authenticated-orcid":false,"given":"Xiaoming","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2003.1227983"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.586"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.491"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/882262.882271"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00548"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2185520.2185526"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.603"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01216-8_15"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00450"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00170"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13787"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7503.003.0169"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00950"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2601097.2601111"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2011.01884.x"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2185520.2185550"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2012.03167.x"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2024156.2024160"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/2816795.2818088"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3137609"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00914"},{"key":"ref22","first-page":"40","article-title":"Learning representations and generative models for 3D point clouds","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Achlioptas","year":"2018"},{"key":"ref23","first-page":"652","article-title":"Pointnet: Deep learning on point sets for 3D classification and segmentation","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","author":"Qi","year":"2017"},{"key":"ref24","article-title":"PointNet++: Deep hierarchical feature learning on point sets in a metric space","volume-title":"Proc. Int. Adv. Conf. Neural Inf. Process. Syst.","author":"Qi","year":"2017"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2018.00030"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00988"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_4"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00025"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00459"},{"key":"ref30","article-title":"Learning to infer implicit surfaces without 3D supervision","volume-title":"Proc. Int. Adv. Conf. Neural Inf. Process. Syst.","author":"Liu","year":"2019"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00239"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00858"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00609"},{"key":"ref34","article-title":"Controlling neural level sets","volume-title":"Proc. Int. Adv. Conf. Neural Inf. Process. Syst.","author":"Atzmon","year":"2019"},{"key":"ref35","first-page":"4823","article-title":"Learning implicit functions for topology-varying dense 3D shape correspondence","volume-title":"Proc. Int. Adv. Conf. Neural Inf. Process. Syst.","author":"Liu","year":"2020"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.103"},{"key":"ref37","first-page":"12909","article-title":"Loopreg: Self-supervised learning of implicit surface correspondences, pose and shape for 3D human mesh registration","volume-title":"Proc. Int. Adv. Conf. Neural Inf. Process. Syst.","author":"Bhatnagar","year":"2020"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/2461912.2461933"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00391"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01015"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00148"},{"key":"ref42","article-title":"Learning shape correspondence with anisotropic convolutional neural networks","volume-title":"Proc. Int. Adv. Conf. Neural Inf. Process. Syst.","author":"Boscaini","year":"2016"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/1778765.1778839"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/2024156.2024159"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073613"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.12694"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.697"},{"key":"ref48","article-title":"Deep functional dictionaries: Learning consistent semantic structures on 3D models from functions","volume-title":"Proc. Int. Adv. Conf. Neural Inf. Process. Syst.","author":"Sung","year":"2018"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01366"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13794"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00463"},{"key":"ref52","article-title":"Scene representation networks: Continuous 3D-structure-aware neural scene representations","volume-title":"Proc. Int. Adv. Conf. Neural Inf. Process. Syst.","author":"Sitzmann","year":"2019"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00725"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00491"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00114"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2004.281"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.171"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01261"},{"key":"ref59","article-title":"DISN: Deep implicit surface network for high-quality single-view 3D reconstruction","volume-title":"Proc. Int. Adv. Conf. Neural Inf. Process. Syst.","author":"Xu","year":"2019"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00700"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58580-8_31"},{"key":"ref62","first-page":"1613","article-title":"Weight uncertainty in neural network","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Blundell","year":"2015"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.5555\/3295222.3295309"},{"key":"ref64","article-title":"Predictive uncertainty estimation via prior networks","volume-title":"Proc. Int. Adv. Conf. Neural Inf. Process. Syst.","author":"Malinin","year":"2018"},{"key":"ref65","first-page":"9690","article-title":"Uncertainty estimation using a single deep deterministic neural network","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Amersfoort","year":"2020"},{"key":"ref66","volume-title":"Bayesian Learning for Neural Networks","volume":"118","author":"Neal","year":"2012"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.5555\/3045390.3045502"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.5244\/c.31.57"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_32"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00329"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9560873"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00602"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00566"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00700"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00575"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1145\/3272127.3275027"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.160"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1016\/j.cagd.2016.02.015"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1145\/1882261.1866206"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2017.00054"},{"article-title":"ShapeNet: An information-rich 3D model repository","year":"2015","author":"Chang","key":"ref81"},{"key":"ref82","article-title":"Learning elementary structures for 3D shape generation and matching","volume-title":"Proc. Int. Adv. Conf. Neural Inf. Process. Syst.","author":"Deprelle","year":"2019"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1145\/2980179.2980238"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1145\/37402.37422"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/10423572\/10004641.pdf?arnumber=10004641","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T14:07:41Z","timestamp":1709388461000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10004641\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3]]},"references-count":84,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2022.3233431","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"type":"print","value":"0162-8828"},{"type":"electronic","value":"2160-9292"},{"type":"electronic","value":"1939-3539"}],"subject":[],"published":{"date-parts":[[2024,3]]}}}