{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T18:54:24Z","timestamp":1764960864184,"version":"3.46.0"},"reference-count":86,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U2033209"],"award-info":[{"award-number":["U2033209"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Ministry of Education, Singapore, under its Academic Research Fund","doi-asserted-by":"publisher","award":["MOE-T2EP20220-0005","RT19\/22"],"award-info":[{"award-number":["MOE-T2EP20220-0005","RT19\/22"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2025,4]]},"DOI":"10.1109\/tnnls.2024.3406587","type":"journal-article","created":{"date-parts":[[2024,6,13]],"date-time":"2024-06-13T14:15:06Z","timestamp":1718288106000},"page":"7316-7330","source":"Crossref","is-referenced-by-count":2,"title":["Curriculumformer: Taming Curriculum Pre-Training for Enhanced 3-D Point Cloud Understanding"],"prefix":"10.1109","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3219-9996","authenticated-orcid":false,"given":"Ben","family":"Fei","sequence":"first","affiliation":[{"name":"School of Computer Science, Fudan University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0969-1173","authenticated-orcid":false,"given":"Tianyue","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Computer Science, Fudan University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6473-9272","authenticated-orcid":false,"given":"Weidong","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Computer Science, Fudan University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1867-3046","authenticated-orcid":false,"given":"Liwen","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computer Science, Fudan University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-7800-2770","authenticated-orcid":false,"given":"Rui","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science, Fudan University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6749-4485","authenticated-orcid":false,"given":"Ying","family":"He","sequence":"additional","affiliation":[{"name":"College of Computing and Data Science, Nanyang Technological University, Nanyang, Singapore"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3195555"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2024.3397828"},{"key":"ref3","first-page":"40","article-title":"Learning representations and generative models for 3D point clouds","volume-title":"Proc. 35th Int. Conf. Mach. Learn.","volume":"80","author":"Achlioptas"},{"key":"ref4","article-title":"3D-OAE: Occlusion auto-encoders for self-supervised learning on point clouds","author":"Zhou","year":"2022","journal-title":"arXiv:2203.14084"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01871"},{"key":"ref6","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2018","journal-title":"arXiv:1810.04805"},{"key":"ref7","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020","journal-title":"arXiv:2010.11929"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s41095-021-0229-5"},{"key":"ref9","article-title":"Point-M2AE: Multi-scale masked autoencoders for hierarchical point cloud pre-training","author":"Zhang","year":"2022","journal-title":"arXiv:2205.14401"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00502"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20086-1_35"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00967"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3236313"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3162301"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3211929"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00700"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553380"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_9"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/587"},{"key":"ref20","first-page":"1311","article-title":"Automated curriculum learning for neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Graves"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6289"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2563981"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01224"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.109051"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548181"},{"key":"ref26","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. (CVPR)","author":"Qi"},{"key":"ref27","first-page":"1","article-title":"PointNet++: Deep hierarchical feature learning on point sets in a metric space","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Qi"},{"key":"ref28","first-page":"1","article-title":"PointCNN: Convolution on x-transformed points","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Li"},{"key":"ref29","first-page":"7212","article-title":"Self-supervised few-shot learning on point clouds","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Sharma"},{"key":"ref30","article-title":"Towards unified representation of multi-modal pre-training for 3D understanding via differentiable rendering","author":"Fei","year":"2024","journal-title":"arXiv:2404.13619"},{"key":"ref31","article-title":"Self-supervised learning for pre-training 3D point clouds: A survey","author":"Fei","year":"2023","journal-title":"arXiv:2305.04691"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/3DV50981.2020.00112"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00017"},{"key":"ref34","first-page":"1","article-title":"Self-supervised deep learning on point clouds by reconstructing space","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Sauder"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00964"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58580-8_34"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01009"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01690"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01314"},{"key":"ref40","article-title":"Image2Point: 3D point-cloud understanding with 2D image pretrained models","author":"Xu","year":"2021","journal-title":"arXiv:2106.04180"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3326362"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.5555\/3524938.3525087"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00571"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_6"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00651"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00542"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00534"},{"key":"ref48","article-title":"PVT: Point-voxel transformer for point cloud learning","author":"Zhang","year":"2021","journal-title":"arXiv:2108.06076"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01595"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00647"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20086-1_38"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00167"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475348"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00047"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58545-7_21"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00029"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3108410"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2018.00088"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2994483"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01227"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00545"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00937"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01336"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00327"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00290"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00612"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.07.049"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref70","article-title":"ShapeNet: An information-rich 3D model repository","author":"Chang","year":"2015","journal-title":"arXiv:1512.03012"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1145\/1873951.1874254"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298801"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1145\/2980179.2980238"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00842"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.170"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.261"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2021.3109392"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2023.3236061"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2021.3086113"},{"issue":"11","key":"ref80","first-page":"1","article-title":"Visualizing data using t-SNE","volume":"9","author":"Van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01553"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.02025"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00836"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00249"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00120"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00781"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/5962385\/10949581\/10555135.pdf?arnumber=10555135","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T18:39:35Z","timestamp":1764959975000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10555135\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4]]},"references-count":86,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2024.3406587","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"type":"print","value":"2162-237X"},{"type":"electronic","value":"2162-2388"}],"subject":[],"published":{"date-parts":[[2025,4]]}}}