{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T01:41:08Z","timestamp":1774489268358,"version":"3.50.1"},"reference-count":67,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Honda Research and Development Company Ltd"},{"DOI":"10.13039\/501100001703","name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001703","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2023,4]]},"DOI":"10.1109\/tits.2022.3233906","type":"journal-article","created":{"date-parts":[[2023,1,18]],"date-time":"2023-01-18T18:41:10Z","timestamp":1674067270000},"page":"4251-4261","source":"Crossref","is-referenced-by-count":45,"title":["Safety-Compliant Generative Adversarial Networks for Human Trajectory Forecasting"],"prefix":"10.1109","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0322-8994","authenticated-orcid":false,"given":"Parth","family":"Kothari","sequence":"first","affiliation":[{"name":"Department of Civil Engineering, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5004-1498","authenticated-orcid":false,"given":"Alexandre","family":"Alahi","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1","article-title":"Generative adversarial nets","volume-title":"Proc. NIPS","author":"Goodfellow"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00240"},{"key":"ref3","first-page":"1","article-title":"Social-BiGAT: Multimodal trajectory forecasting using bicycle-GAN and graph attention networks","volume-title":"Proc. NeurIPS","author":"Kosaraju"},{"key":"ref4","first-page":"1","article-title":"Sophie: An attentive GAN for predicting paths compliant to social and physical constraints","volume":"abs\/1806.01482","author":"Sadeghian","year":"2018","journal-title":"CoRR"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01240"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00359"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.110"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.233"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00246"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5933"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01052"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.51.4282"},{"key":"ref13","article-title":"Social-WaGDAT: Interaction-aware trajectory prediction via Wasserstein graph double-attention network","author":"Li","year":"2020","journal-title":"arXiv:2002.06241"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00637"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01443"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967811"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412190"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58610-2_30"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3142248"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01236"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01530"},{"key":"ref22","first-page":"1","article-title":"Adversarial loss for human trajectory prediction","volume-title":"Proc. 8th Symp. Eur. Assoc. Res. Transp. (hEART)","author":"Kothari"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01484"},{"key":"ref24","article-title":"PECNet: A deep multi-label segmentation network for eosinophilic esophagitis biopsy diagnostics","author":"Daniel","year":"2021","journal-title":"arXiv:2103.02015"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2022.103705"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01657"},{"key":"ref27","article-title":"Motion style transfer: Modular low-rank adaptation for deep motion forecasting","author":"Kothari","year":"2022","journal-title":"arXiv:2211.03165"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00639"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00641"},{"key":"ref30","volume-title":"Waymo Report","year":"2022"},{"key":"ref31","volume-title":"Uber Report","year":"2022"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794134"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2901817"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206641"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8461157"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3390\/s19051223"},{"key":"ref37","first-page":"1","article-title":"Group LSTM: Group trajectory prediction in crowded scenarios","volume-title":"Proc. ECCV Workshops","author":"Bisagno"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00587"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1080\/15472450.2019.1621756"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2542843"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00635"},{"key":"ref42","article-title":"EvolveGraph: Heterogeneous multi-agent multi-modal trajectory prediction with evolving interaction graphs","author":"Li","year":"2020","journal-title":"arXiv:2003.13924"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3069362"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.573"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460504"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00074"},{"key":"ref47","first-page":"1","article-title":"Multiple choice learning: Learning to produce multiple structured outputs","volume-title":"Proc. NIPS","author":"Guzm\u00e1n-Rivera"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.388"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00731"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3069134"},{"key":"ref51","first-page":"1","article-title":"Generating images with perceptual similarity metrics based on deep networks","volume-title":"Proc. NIPS","author":"Dosovitskiy"},{"key":"ref52","first-page":"2672","article-title":"Generative adversarial nets","volume-title":"Advances in Neural Information Processing Systems","volume":"27","author":"Goodfellow","year":"2014"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00038"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8916927"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3148358"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2920868"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00744"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1145\/3328756.3328769"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.304"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459260"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2007.01089.x"},{"key":"ref63","article-title":"Likelihood estimation for generative adversarial networks","author":"Eghbal-zadeh","year":"2017","journal-title":"arXiv:1707.07530"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2969925"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref66","first-page":"2172","article-title":"InfoGAN: Interpretable representation learning by information maximizing generative adversarial nets","volume-title":"Advances in Neural Information Processing Systems","volume":"29","author":"Chen","year":"2016"},{"key":"ref67","first-page":"214","article-title":"Wasserstein generative adversarial networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Arjovsky"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6979\/10086684\/10021224.pdf?arnumber=10021224","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T06:24:20Z","timestamp":1707805460000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10021224\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4]]},"references-count":67,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tits.2022.3233906","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4]]}}}