{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T16:38:23Z","timestamp":1778258303341,"version":"3.51.4"},"reference-count":73,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T00:00:00Z","timestamp":1685318400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T00:00:00Z","timestamp":1685318400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,5,29]]},"DOI":"10.1109\/icra48891.2023.10161318","type":"proceedings-article","created":{"date-parts":[[2023,7,4]],"date-time":"2023-07-04T17:20:56Z","timestamp":1688491256000},"page":"9844-9851","source":"Crossref","is-referenced-by-count":47,"title":["PedFormer: Pedestrian Behavior Prediction via Cross-Modal Attention Modulation and Gated Multitask Learning"],"prefix":"10.1109","author":[{"given":"Amir","family":"Rasouli","sequence":"first","affiliation":[{"name":"Noah's Ark Laboratory,Huawei,Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Iuliia","family":"Kotseruba","sequence":"additional","affiliation":[{"name":"York University,Department of Computer Science and Electrical Engineering,Toronto,Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2901817"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2017.7995730"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00888"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00636"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2976305"},{"key":"ref6","article-title":"Pedestrian action anticipation using contextual feature fusion in stacked RNNs","volume-title":"BMVC","author":"Rasouli","year":"2019"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01531"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00358"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.33"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_41"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_30"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01113"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00239"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00100"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01275"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.362"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01291"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01654"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00635"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01443"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00074"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00744"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_45"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00101"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01236"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00144"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00240"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01007"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00441"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01120"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00792"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794474"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967556"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00441"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00868"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00130"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093426"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793991"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794278"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20887-5_28"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00539"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_17"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01258-8_7"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01013"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_5"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00919"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00030"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00825"},{"key":"ref49","article-title":"IntentNet: Learning to predict intention from raw sensor data","volume-title":"CORL","author":"Casas","year":"2018"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00781"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00752"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00197"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01140"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00635"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20887-5_20"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01136"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00031"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58621-8_17"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561107"},{"key":"ref60","article-title":"EvolveGraph: Multi-agent trajectory prediction with dynamic relational reasoning","volume-title":"NeurIPS","author":"Li","year":"2020"},{"key":"ref61","article-title":"Social-BIGAT: Multimodal trajectory forecasting using Bicycle-GAN and graph attention networks","volume-title":"NeurIPS","author":"Kosaraju","year":"2019"},{"key":"ref62","article-title":"Neural relational inference for interacting systems","volume-title":"ICML","author":"Kipf","year":"2018"},{"key":"ref63","article-title":"An overview of multi-task learning in deep neural networks","author":"Ruder","year":"2017","journal-title":"arXiv:1706.05098"},{"key":"ref64","article-title":"Attention is all you need","volume-title":"NeurIPS","author":"Vaswani","year":"2017"},{"key":"ref65","article-title":"Layer normalization","author":"Ba","year":"2016","journal-title":"arXiv:1607.06450"},{"key":"ref66","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","volume-title":"ICLR","author":"Dosovitskiy","year":"2021"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1166"},{"key":"ref68","article-title":"Recurrent neural network for text classification with multi-task learning","volume-title":"IJCAI","author":"Liu","year":"2016"},{"key":"ref69","article-title":"Re-thinking atrous convolution for semantic image segmentation","author":"Chen","year":"2017","journal-title":"arXiv:1706.05587"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11009-3_12"},{"key":"ref72","volume-title":"Lecture 6.5-RMSProp, coursera: Neural networks for machine learning","author":"Tieleman","year":"2012"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.502"}],"event":{"name":"2023 IEEE International Conference on Robotics and Automation (ICRA)","location":"London, United Kingdom","start":{"date-parts":[[2023,5,29]]},"end":{"date-parts":[[2023,6,2]]}},"container-title":["2023 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10160211\/10160212\/10161318.pdf?arnumber=10161318","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T11:45:34Z","timestamp":1709293534000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10161318\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,29]]},"references-count":73,"URL":"https:\/\/doi.org\/10.1109\/icra48891.2023.10161318","relation":{},"subject":[],"published":{"date-parts":[[2023,5,29]]}}}