{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T06:23:47Z","timestamp":1771309427545,"version":"3.50.1"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"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-037"}],"funder":[{"name":"General Program of National Natural Science Foundation of China","award":["52172380"],"award-info":[{"award-number":["52172380"]}]},{"name":"Key Research and Development Project of Shaanxi Province","award":["2024GX-ZDCYL-01-25"],"award-info":[{"award-number":["2024GX-ZDCYL-01-25"]}]},{"name":"Key Research and Development Project of Shaanxi Province","award":["2024CY-JJQ-55"],"award-info":[{"award-number":["2024CY-JJQ-55"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2026,3]]},"DOI":"10.1109\/lra.2026.3662615","type":"journal-article","created":{"date-parts":[[2026,2,9]],"date-time":"2026-02-09T21:09:14Z","timestamp":1770671354000},"page":"3812-3819","source":"Crossref","is-referenced-by-count":0,"title":["Hierarchical Pairwise and Group-Wise Interaction Modeling for Efficient Pedestrian Trajectory Prediction"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-9912-5928","authenticated-orcid":false,"given":"Junfei","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Information Engineering, Chang&#x2019;an University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0661-2545","authenticated-orcid":false,"given":"Yingchun","family":"Fan","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Northwest A&amp;F University, Yangling, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8981-4745","authenticated-orcid":false,"given":"Fei","family":"Hui","sequence":"additional","affiliation":[{"name":"School of Electronics and Control Engineering, Chang&#x2019;an University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-0604-1823","authenticated-orcid":false,"given":"Erlong","family":"Tan","sequence":"additional","affiliation":[{"name":"School of Electronics and Control Engineering, Chang&#x2019;an University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-9071-8138","authenticated-orcid":false,"given":"Xingkai","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Chang&#x2019;an University, Xi&#x2019;an, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tre.2024.103615"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2023.107050"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.51.4282"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1080\/01441647.2017.1396265"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.110"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00135"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460504"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01443"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr46437.2021.00888"},{"key":"ref10","first-page":"137","article-title":"Social-BiGAT: Multimodal trajectory forecasting using bicycle-GAN and graph attention networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"2019","author":"Kosaraju"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20047-2_16"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00639"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72848-8_6"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.5194\/ms-15-17-2024"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.2307\/2092989"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00240"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00862"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2024.3398252"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IV55156.2024.10588693"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01660"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00534"},{"key":"ref22","first-page":"2256","article-title":"Deep unsupervised learning using nonequilibrium thermodynamics","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Sohl-Dickstein","year":"2015"},{"key":"ref23","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ho","year":"2020"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109997"},{"key":"ref25","first-page":"2688","article-title":"Neural relational inference for interacting systems","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Kipf","year":"2018"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00854"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2023.11.005"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2023.127117"},{"key":"ref29","first-page":"6417","article-title":"Roto-translated local coordinate frames for interacting dynamical systems","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Kofinas","year":"2021"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00919"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1810.04805"},{"key":"ref32","article-title":"Categorical reparametrization with Gumble-Softmax","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Jang","year":"2017"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_33"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2007.01089.x"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459260"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00246"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00637"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7083369\/11359420\/11386862.pdf?arnumber=11386862","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T05:53:51Z","timestamp":1771307631000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11386862\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3]]},"references-count":37,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/lra.2026.3662615","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"value":"2377-3766","type":"electronic"},{"value":"2377-3774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3]]}}}