{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T15:51:27Z","timestamp":1780674687536,"version":"3.54.1"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,5,30]],"date-time":"2021-05-30T00:00:00Z","timestamp":1622332800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,30]],"date-time":"2021-05-30T00:00:00Z","timestamp":1622332800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5,30]]},"DOI":"10.1109\/icra48506.2021.9560908","type":"proceedings-article","created":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T00:28:35Z","timestamp":1634689715000},"page":"14234-14240","source":"Crossref","is-referenced-by-count":28,"title":["AVGCN: Trajectory Prediction using Graph Convolutional Networks Guided by Human Attention"],"prefix":"10.1109","author":[{"given":"Congcong","family":"Liu","sequence":"first","affiliation":[{"name":"JD.COM"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuying","family":"Chen","sequence":"additional","affiliation":[{"name":"the Hong Kong University of Science and Technology,Department of Electronic and Computer Engineering"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ming","family":"Liu","sequence":"additional","affiliation":[{"name":"the Hong Kong University of Science and Technology,Department of Electronic and Computer Engineering"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bertram E.","family":"Shi","sequence":"additional","affiliation":[{"name":"the Hong Kong University of Science and Technology,Department of Electronic and Computer Engineering"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00246"},{"key":"ref11","article-title":"Self-consistent trajectory autoencoder: Hierarchical re-inforcement learning with trajectory embeddings","author":"co-reyes","year":"2018"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_45"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00359"},{"key":"ref14","first-page":"0","article-title":"Group lstm: Group trajectory prediction in crowded scenarios","author":"bisagno","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460504"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2972868"},{"key":"ref17","article-title":"Comogcn: Coherent motion aware trajectory prediction with graph representation","author":"chen","year":"2020"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00637"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00635"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00144"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00240"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.233"},{"key":"ref5","first-page":"137","article-title":"Social-bigat: Multimodal trajectory forecasting using bicycle-gan and graph attention networks","author":"kosaraju","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00731"},{"key":"ref7","first-page":"772","article-title":"R2p2: A reparameterized pushforward policy for diverse, precise generative path forecasting","author":"rhinehart","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01236"},{"key":"ref9","article-title":"Generative adversarial networks: A survey and taxonomy","author":"wang","year":"2019"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.110"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3314111.3319846"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2996386"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967843"},{"key":"ref24","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2016"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00134"},{"key":"ref25","author":"henson","year":"2000","journal-title":"The Visual Fields"}],"event":{"name":"2021 IEEE International Conference on Robotics and Automation (ICRA)","location":"Xi'an, China","start":{"date-parts":[[2021,5,30]]},"end":{"date-parts":[[2021,6,5]]}},"container-title":["2021 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9560720\/9560666\/09560908.pdf?arnumber=9560908","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T23:21:56Z","timestamp":1659482516000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9560908\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,30]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/icra48506.2021.9560908","relation":{},"subject":[],"published":{"date-parts":[[2021,5,30]]}}}