{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T12:49:26Z","timestamp":1768999766953,"version":"3.49.0"},"reference-count":37,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/100016104","name":"Key Project of Research and Development Plan of Hunan Province","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100016104","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007129","name":"Shandong Province Natural Science Foundation","doi-asserted-by":"publisher","award":["ZR2023LZH014"],"award-info":[{"award-number":["ZR2023LZH014"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neurocomputing"],"published-print":{"date-parts":[[2026,3]]},"DOI":"10.1016\/j.neucom.2025.132405","type":"journal-article","created":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T00:27:38Z","timestamp":1765499258000},"page":"132405","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["MADBD: Two-stage point cloud registration via multi-attention and dual branches decoupling"],"prefix":"10.1016","volume":"668","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-0717-3887","authenticated-orcid":false,"given":"Zhiwen","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Longlong","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Xiang","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Yuanxi","family":"Peng","sequence":"additional","affiliation":[]},{"given":"Tong","family":"Zhou","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.neucom.2025.132405_bib0005","doi-asserted-by":"crossref","first-page":"3846","DOI":"10.1109\/TCSVT.2023.3323498","article-title":"Global localization in large-scale point clouds via roll-pitch-yaw invariant place recognition and low-overlap global registration","volume":"34","author":"Wang","year":"2024","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.neucom.2025.132405_bib0010","doi-asserted-by":"crossref","first-page":"5002","DOI":"10.1109\/LRA.2021.3070828","article-title":"Path planning with automatic seam extraction over point cloud models for robotic arc welding","volume":"6","author":"Zhou","year":"2020","journal-title":"IEEE Robot. Autom. Lett."},{"key":"10.1016\/j.neucom.2025.132405_bib0015","doi-asserted-by":"crossref","first-page":"1413","DOI":"10.1109\/TCSVT.2022.3213592","article-title":"INENet: inliers estimation network with similarity learning for partial overlapping registration","volume":"33","author":"Wu","year":"2023","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.neucom.2025.132405_bib0020","doi-asserted-by":"crossref","first-page":"1611","DOI":"10.1109\/TCSVT.2012.2202185","article-title":"Outdoor dynamic 3D scene reconstruction","volume":"22","author":"Kim","year":"2012","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.neucom.2025.132405_bib0025","doi-asserted-by":"crossref","first-page":"2705","DOI":"10.1109\/TCSVT.2021.3095233","article-title":"Quadratic terms based point-to-surface 3D representation for deep learning of point cloud","volume":"32","author":"Sun","year":"2021","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.neucom.2025.132405_bib0030","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1109\/34.121791","article-title":"A method for registration of 3-D shapes","volume":"14","author":"Besl","year":"1992","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.neucom.2025.132405_bib0035","first-page":"19","article-title":"An ICP variant using a point-to-line metric","author":"Censi","year":"2008","journal-title":"IEEE Int. Conf. Robot. Autom."},{"key":"10.1016\/j.neucom.2025.132405_bib0040","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3306346.3323037","article-title":"A symmetric objective function for ICP","volume":"38","author":"Rusinkiewicz","year":"2019","journal-title":"ACM Trans. Graph."},{"key":"10.1016\/j.neucom.2025.132405_bib0045","first-page":"77","article-title":"PointNet: deep learning on point sets for 3D classification and segmentation","author":"Qi","year":"2016","journal-title":"IEEE Conf. Comput. Vis. Pattern Recognit."},{"key":"10.1016\/j.neucom.2025.132405_bib0050","series-title":"2019 IEEE Conference on Computer Vision and Pattern Recognition","first-page":"7156","article-title":"PointNetLK: robust & efficient point cloud registration using pointnet","author":"Aoki","year":"2019"},{"key":"10.1016\/j.neucom.2025.132405_bib0055","series-title":"2019 IEEE\/CVF International Conference on Computer Vision","first-page":"3522","article-title":"Deep closest point: learning representations for point cloud registration","author":"Wang","year":"2019"},{"key":"10.1016\/j.neucom.2025.132405_bib0060","doi-asserted-by":"crossref","first-page":"8343","DOI":"10.1109\/TCSVT.2024.3379220","article-title":"Learning discriminative features via multi-hierarchical mutual information for unsupervised point cloud registration","volume":"34","author":"Yuan","year":"2024","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.neucom.2025.132405_bib0065","doi-asserted-by":"crossref","first-page":"9806","DOI":"10.1109\/TPAMI.2023.3259038","article-title":"Geotransformer: fast and robust point cloud registration with geometric transformer","volume":"45","author":"Qin","year":"2023","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.neucom.2025.132405_bib0070","first-page":"1","article-title":"EGST: enhanced geometric structure transformer for point cloud registration","author":"Yuan","year":"2023","journal-title":"IEEE Trans. Vis. Comput. Graphics"},{"key":"10.1016\/j.neucom.2025.132405_bib0075","article-title":"DBDNet: partial-to-partial point cloud registration with dual branches decoupling","volume":"296","author":"Li","year":"2023","journal-title":"Knowl. Based Syst."},{"key":"10.1016\/j.neucom.2025.132405_bib0080","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"401","article-title":"DetarNet: decoupling translation and rotation by siamese network for point cloud registration","volume":"vol. 36","author":"Chen","year":"2022"},{"key":"10.1016\/j.neucom.2025.132405_bib0085","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"2848","article-title":"FINet: dual branches feature interaction for partial-to-partial point cloud registration","volume":"vol. 36","author":"Xu","year":"2022"},{"key":"10.1016\/j.neucom.2025.132405_bib0090","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1109\/MCI.2023.3304144","article-title":"Correspondence-free point cloud registration via feature interaction and dual branch [application notes]","volume":"18","author":"Wu","year":"2023","journal-title":"IEEE Comput. Intell. Mag."},{"key":"10.1016\/j.neucom.2025.132405_bib0095","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"4267","article-title":"Predator: registration of 3D point clouds with low overlap","author":"Huang","year":"2021"},{"key":"10.1016\/j.neucom.2025.132405_bib0100","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision","first-page":"3132","article-title":"OMNet: learning overlapping mask for partial-to-partial point cloud registration","author":"Xu","year":"2021"},{"key":"10.1016\/j.neucom.2025.132405_bib0105","series-title":"2020 IEEE International Conference on Visual Communications and Image Processing","first-page":"5","article-title":"Unsupervised point cloud registration via salient points analysis (SPA)","author":"Kadam","year":"2020"},{"key":"10.1016\/j.neucom.2025.132405_bib0110","series-title":"Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part XXIV 16","first-page":"378","article-title":"Iterative distance-aware similarity matrix convolution with mutual-supervised point elimination for efficient point cloud registration","author":"Li","year":"2020"},{"key":"10.1016\/j.neucom.2025.132405_bib0115","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"16014","article-title":"HRegNet: a hierarchical network for large-scale outdoor lidar point cloud registration","author":"Lu","year":"2021"},{"key":"10.1016\/j.neucom.2025.132405_bib0120","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"11366","article-title":"Feature-metric registration: a fast semi-supervised approach for robust point cloud registration without correspondences","author":"Huang","year":"2020"},{"key":"10.1016\/j.neucom.2025.132405_bib0125","doi-asserted-by":"crossref","DOI":"10.1016\/j.measurement.2021.109274","article-title":"Point cloud registration algorithm based on curvature feature similarity","volume":"177","author":"Yao","year":"2021","journal-title":"Measurement"},{"issue":"11","key":"10.1016\/j.neucom.2025.132405_bib0130","doi-asserted-by":"crossref","first-page":"22312","DOI":"10.1109\/TITS.2022.3153133","article-title":"Global-PBNet: a novel point cloud registration for autonomous driving","volume":"23","author":"Zheng","year":"2022","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"10.1016\/j.neucom.2025.132405_bib0135","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"7578","article-title":"SampleNet: differentiable point cloud sampling","author":"Lang","year":"2020"},{"key":"10.1016\/j.neucom.2025.132405_bib0140","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"8893","article-title":"Robust point cloud registration framework based on deep graph matching","author":"Fu","year":"2021"},{"key":"10.1016\/j.neucom.2025.132405_bib0145","series-title":"Proceedings of the IEEE\/CVF International conference on Computer Vision","first-page":"5530","article-title":"Feature interactive representation for point cloud registration","author":"Wu","year":"2021"},{"key":"10.1016\/j.neucom.2025.132405_bib0150","series-title":"European Conference on Computer Vision","first-page":"19","article-title":"ML-SemReg: boosting point cloud registration with multi-level semantic consistency","author":"Yan","year":"2024"},{"key":"10.1016\/j.neucom.2025.132405_bib0155","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"5312","article-title":"Inlier confidence calibration for point cloud registration","author":"Yuan","year":"2024"},{"key":"10.1016\/j.neucom.2025.132405_bib0160","series-title":"2020 IEEE Conference on Computer Vision and Pattern Recognition","first-page":"11821","article-title":"RPM-Net: robust point matching using learned features","author":"Yew","year":"2020"},{"key":"10.1016\/j.neucom.2025.132405_bib0165","series-title":"2018 IEEE Conference on Computer Vision and Pattern Recognition","first-page":"195","article-title":"PPFNet: global context aware local features for robust 3D point matching","author":"Deng","year":"2018"},{"key":"10.1016\/j.neucom.2025.132405_bib0170","author":"Qi"},{"key":"10.1016\/j.neucom.2025.132405_bib0175","series-title":"2015 IEEE Conference on Computer Vision and Pattern Recognition","first-page":"1912","article-title":"3D ShapeNets: a deep representation for volumetric shapes","author":"Wu","year":"2014"},{"key":"10.1016\/j.neucom.2025.132405_bib0180","series-title":"2017 IEEE Conference on Computer Vision and Pattern Recognition","first-page":"199","article-title":"3DMatch: learning local geometric descriptors from RGB-D reconstructions","author":"Zeng","year":"2016"},{"key":"10.1016\/j.neucom.2025.132405_bib0185","series-title":"Computer Vision\u2013ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11\u201314, 2016, Proceedings, Part II 14","first-page":"766","article-title":"Fast global registration","author":"Zhou","year":"2016"}],"container-title":["Neurocomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231225030772?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231225030772?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T22:27:24Z","timestamp":1768948044000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0925231225030772"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3]]},"references-count":37,"alternative-id":["S0925231225030772"],"URL":"https:\/\/doi.org\/10.1016\/j.neucom.2025.132405","relation":{},"ISSN":["0925-2312"],"issn-type":[{"value":"0925-2312","type":"print"}],"subject":[],"published":{"date-parts":[[2026,3]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"MADBD: Two-stage point cloud registration via multi-attention and dual branches decoupling","name":"articletitle","label":"Article Title"},{"value":"Neurocomputing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neucom.2025.132405","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"132405"}}