{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T18:39:00Z","timestamp":1773772740084,"version":"3.50.1"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,2]],"date-time":"2024-06-02T00:00:00Z","timestamp":1717286400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,2]],"date-time":"2024-06-02T00:00:00Z","timestamp":1717286400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100002701","name":"Ministry of Education","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002701","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,6,2]]},"DOI":"10.1109\/iv55156.2024.10588702","type":"proceedings-article","created":{"date-parts":[[2024,7,15]],"date-time":"2024-07-15T17:19:28Z","timestamp":1721063968000},"page":"758-764","source":"Crossref","is-referenced-by-count":2,"title":["MAP-Former: Multi-Agent-Pair Gaussian Joint Prediction"],"prefix":"10.1109","author":[{"given":"Marlon","family":"Steiner","sequence":"first","affiliation":[{"name":"Karlsruhe Institute of Technology (KIT),Institute of Measurement and Control Systems,Karlsruhe,Germany"}]},{"given":"Marvin","family":"Klemp","sequence":"additional","affiliation":[{"name":"Karlsruhe Institute of Technology (KIT),Institute of Measurement and Control Systems,Karlsruhe,Germany"}]},{"given":"Christoph","family":"Stiller","sequence":"additional","affiliation":[{"name":"Karlsruhe Institute of Technology (KIT),Institute of Measurement and Control Systems,Karlsruhe,Germany"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Scene Transformer: A unified architecture for predicting future trajectories of multiple agents","volume-title":"International Conference on Learning Representations","author":"Ngiam"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC45102.2020.9294728"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00957"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00895"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01164"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01154"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_32"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9636035"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9812107"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160609"},{"key":"ref12","article-title":"Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction","author":"Chai","year":"2019"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793868"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00967"},{"key":"ref15","first-page":"1457","article-title":"Jfp: Joint future prediction with interactive multi-agent modeling for autonomous driving","volume-title":"Conference on Robot Learning","author":"Luo"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00788"},{"key":"ref17","article-title":"What-if motion prediction for autonomous driving","author":"Khandelwal","year":"2020","journal-title":"CoRR"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197340"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561967"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/IV48863.2021.9575822"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IV55152.2023.10186615"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/DSA59317.2023.00089"},{"key":"ref23","article-title":"Interaction dataset: An international, adversarial and cooperative motion dataset in interactive driving scenarios with semantic maps","author":"Zhan","year":"2019"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC48978.2021.9565113"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10161468"},{"key":"ref26","article-title":"How Powerful are Graph Neural Networks?","author":"Xu","year":"2018","journal-title":"CoRR"},{"key":"ref27","article-title":"Fast graph representation learning with PyTorch Geometric","volume-title":"ICLR Workshop on Representation Learning on Graphs and Manifolds","author":"Fey"},{"key":"ref28","article-title":"Redmotion: Motion prediction via redundancy reduction","author":"Wagner","year":"2023"},{"key":"ref29","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-030-11015-4_16","article-title":"Convolutional neural network for trajectory prediction","volume-title":"Proceedings of the European Conference on Computer Vision (ECCV) Workshops","author":"Nikhil"}],"event":{"name":"2024 IEEE Intelligent Vehicle Symposium (IV)","location":"Jeju Island, Korea, Republic of","start":{"date-parts":[[2024,6,2]]},"end":{"date-parts":[[2024,6,5]]}},"container-title":["2024 IEEE Intelligent Vehicles Symposium (IV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10587320\/10588370\/10588702.pdf?arnumber=10588702","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,19]],"date-time":"2024-07-19T05:49:21Z","timestamp":1721368161000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10588702\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,2]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/iv55156.2024.10588702","relation":{},"subject":[],"published":{"date-parts":[[2024,6,2]]}}}