{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T22:44:01Z","timestamp":1782859441293,"version":"3.54.5"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"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":["62473288"],"award-info":[{"award-number":["62473288"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62233013"],"award-info":[{"award-number":["62233013"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2024A1515012126"],"award-info":[{"award-number":["2024A1515012126"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Xiaomi Young Talents Program"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Veh."],"published-print":{"date-parts":[[2026,4]]},"DOI":"10.1109\/tiv.2026.3663171","type":"journal-article","created":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T21:06:37Z","timestamp":1770757597000},"page":"511-521","source":"Crossref","is-referenced-by-count":0,"title":["MambaFlow: A Novel and Flow-Guided State Space Model for Scene Flow Estimation"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-4587-1558","authenticated-orcid":false,"given":"Jiehao","family":"Luo","sequence":"first","affiliation":[{"name":"School of Data Science and Engineering, School of Electronics and Information Engineering, and Xingzhi College, South China Normal University, Shanwei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jintao","family":"Cheng","sequence":"additional","affiliation":[{"name":"Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong SAR, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7882-948X","authenticated-orcid":false,"given":"Qingwen","family":"Zhang","sequence":"additional","affiliation":[{"name":"Division of Robotics, Perception, and Learning (RPL), KTH Royal Institute of Technology, Stockholm, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0332-3967","authenticated-orcid":false,"given":"Bohuan","family":"Xue","sequence":"additional","affiliation":[{"name":"School of Data Science and Engineering, School of Electronics and Information Engineering, and Xingzhi College, South China Normal University, Shanwei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2593-6596","authenticated-orcid":false,"given":"Rui","family":"Fan","sequence":"additional","affiliation":[{"name":"College of Electronic and Information Engineering, Shanghai Institute of Intelligent Science and Technology, Shanghai Research Institute for Intelligent Autonomous Systems, Shanghai Key Laboratory of Intelligent Autonomous Systems, State Key Laboratory of Autonomous Intelligent Unmanned Systems, and Frontiers Science Center for Intelligent Autonomous Systems (Ministry of Education), Tongji University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6038-9623","authenticated-orcid":false,"given":"Xiaoyu","family":"Tang","sequence":"additional","affiliation":[{"name":"School of Data Science and Engineering, School of Electronics and Information Engineering, and Xingzhi College, South China Normal University, Shanwei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2023.3317933"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2024.3372625"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2024.3418497"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2025.3582109"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2025.12.458"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2023.3319985"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3680578"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10611400"},{"key":"ref9","first-page":"7838","article-title":"Neural scene flow prior","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Li","year":"2021"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00906"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01468"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73232-4_20"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/lra.2021.3139542"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10610278"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72649-1_14"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2025.3542327"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00463"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2024.3388726"},{"key":"ref19","article-title":"Efficiently modeling long sequences with structured state spaces","volume-title":"Proc. Int. Conf. Learn. Representations (ICLR)","author":"Gu","year":"2022"},{"key":"ref20","article-title":"Simplified state space layers for sequence modeling","volume-title":"Proc. Int. Conf. Learn. Representations (ICLR)","author":"Smith","year":"2023"},{"key":"ref21","article-title":"Hungry hungry hippos: Towards language modeling with state space models","volume-title":"Proc. Int. Conf. Learn. Representations (ICLR)","author":"Fu","year":"2023"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3681173"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.52202\/079017-1026"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01431"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3294355"},{"key":"ref26","article-title":"ShapeNet: An information-rich 3D model repository","author":"Chang","year":"2015"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.438"},{"key":"ref28","first-page":"1","article-title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting","volume-title":"Proc. Neural Inf. Process. Syst. Track Datasets Benchmarks","volume":"1","author":"Wilson","year":"2021"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00252"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00062"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/IROS47612.2022.9981550"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1017\/9781009211789.010"},{"key":"ref33","article-title":"Mamba: Linear-time sequence modeling with selective state spaces","volume-title":"Proc. 1st Conf. Lang. Model. (COLM)","author":"Gu","year":"2024"},{"key":"ref34","first-page":"62429","article-title":"Vision Mamba: Efficient visual representation learning with bidirectional state space model","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Zhu","year":"2024"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i6.32690"},{"key":"ref36","article-title":"Neural eulerian scene flow fields","volume-title":"Proc. Int. Conf. Learn. Representations (ICLR)","author":"Vedder","year":"2025"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2024.3353835"},{"key":"ref38","article-title":"DeltaFlow: An efficient multi-frame scene flow estimation method","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","author":"Zhang","year":"2025"}],"container-title":["IEEE Transactions on Intelligent Vehicles"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7274857\/11457231\/11387749.pdf?arnumber=11387749","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T21:46:42Z","timestamp":1782856002000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11387749\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4]]},"references-count":38,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tiv.2026.3663171","relation":{},"ISSN":["2379-8904","2379-8858"],"issn-type":[{"value":"2379-8904","type":"electronic"},{"value":"2379-8858","type":"print"}],"subject":[],"published":{"date-parts":[[2026,4]]}}}