{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T23:00:06Z","timestamp":1783119606133,"version":"3.54.6"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Wallenberg-Nanyang Technological University (NTU) Presidential Postdoctoral Fellowship of Nanyang Technological University, Singapore","award":["023485-00001"],"award-info":[{"award-number":["023485-00001"]}]},{"name":"Agency for Science, Technology and Research (A*STAR), Singapore, through the Manufacturing, Trade and Connectivity (MTC) Individual Research","award":["M22K2c0079"],"award-info":[{"award-number":["M22K2c0079"]}]},{"name":"French National Research Agency (ANR) and the National Research Foundation (NRF) Joint Grant","award":["NRF2021-NRF-ANR003"],"award-info":[{"award-number":["NRF2021-NRF-ANR003"]}]},{"name":"Ministry of Education (MOE), Singapore, through the Tier 2","award":["MOE-T2EP50222-0002"],"award-info":[{"award-number":["MOE-T2EP50222-0002"]}]},{"name":"Desay SV Automotive Singapore Private Ltd.","award":["NTU REF 2018-0980"],"award-info":[{"award-number":["NTU REF 2018-0980"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2025,10]]},"DOI":"10.1109\/tits.2025.3582574","type":"journal-article","created":{"date-parts":[[2025,7,2]],"date-time":"2025-07-02T13:46:24Z","timestamp":1751463984000},"page":"16840-16853","source":"Crossref","is-referenced-by-count":4,"title":["Traffic Scene Representation and Encoding With Graph Structure Learning and Exploration"],"prefix":"10.1109","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8729-5037","authenticated-orcid":false,"given":"Xiaoyu","family":"Mo","sequence":"first","affiliation":[{"name":"School of Mechanical and Aerospace Engineering, Nanyang Technological University, Jurong West, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2770-4967","authenticated-orcid":false,"given":"Baichuan","family":"Lou","sequence":"additional","affiliation":[{"name":"School of Mechanical and Aerospace Engineering, Nanyang Technological University, Jurong West, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiqi","family":"Mao","sequence":"additional","affiliation":[{"name":"School of Mechanical and Aerospace Engineering, Nanyang Technological University, Jurong West, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qihang","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Electrical and Electronic Engineering, Nanyang Technological University, Jurong West, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2551-924X","authenticated-orcid":false,"given":"Weigao","family":"Sun","sequence":"additional","affiliation":[{"name":"Shanghai AI Laboratory, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4880-5054","authenticated-orcid":false,"given":"Yafei","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6897-4512","authenticated-orcid":false,"given":"Chen","family":"Lv","sequence":"additional","affiliation":[{"name":"School of Mechanical and Aerospace Engineering, Nanyang Technological University, Jurong West, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_32"},{"key":"ref2","first-page":"6531","article-title":"Motion transformer with global intention localization and local movement refinement","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Shi"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3298301"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01713"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3352811"},{"key":"ref6","first-page":"1","article-title":"SEPT: Towards efficient scene representation learning for motion prediction","volume-title":"Proc. 12th Int. Conf. Learn. Represent.","author":"Lan"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01420"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2025.3526936"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2024.104654"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01154"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00862"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00930"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73397-0_19"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00196"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793868"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58523-5_40"},{"key":"ref17","article-title":"Scene transformer: A unified multi-task model for behavior prediction and planning","author":"Ngiam","year":"2021","journal-title":"arXiv:2106.08417"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01026"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561666"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3146300"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10161243"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3270739"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3331887"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160609"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9636035"},{"key":"ref27","first-page":"203","article-title":"Multimodal trajectory prediction conditioned on lane-graph traversals","volume-title":"Proc. 5th Conf. Robot Learn.","author":"Deo"},{"key":"ref28","first-page":"1","article-title":"THOMAS: Trajectory heatmap output with learned multi-agent sampling","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Gilles"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/IECON43393.2020.9255162"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01240"},{"key":"ref31","article-title":"MultiPath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction","author":"Chai","year":"2019","journal-title":"arXiv:1910.05449"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.tre.2024.103748"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/IV55152.2023.10186641"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/iv55156.2024.10588840"},{"key":"ref35","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":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC55140.2022.9922469"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3234771"},{"key":"ref38","first-page":"1","article-title":"Graph attention networks","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Velickovic"},{"key":"ref39","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Kipf"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00957"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC55140.2022.9922325"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01502"},{"key":"ref43","article-title":"MotionCNN: A strong baseline for motion prediction in autonomous driving","author":"Konev","year":"2022","journal-title":"arXiv:2206.02163"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00895"},{"key":"ref45","first-page":"1","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Paszke"},{"key":"ref46","first-page":"1","article-title":"Fast graph representation learning with PyTorch geometric","volume-title":"Proc. ICLR Workshop Represent. Learn. Graphs Manifolds","author":"Fey"},{"key":"ref47","first-page":"1","article-title":"Decoupled weight decay regularization","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Loshchilov"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-025-00998-9"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6979\/11220917\/11063406.pdf?arnumber=11063406","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T18:05:07Z","timestamp":1761847507000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11063406\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10]]},"references-count":48,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tits.2025.3582574","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10]]}}}