{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T17:27:05Z","timestamp":1771954025874,"version":"3.50.1"},"reference-count":46,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,5,13]],"date-time":"2024-05-13T00:00:00Z","timestamp":1715558400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,5,13]],"date-time":"2024-05-13T00:00:00Z","timestamp":1715558400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100006190","name":"Research and Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006190","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100014219","name":"National Science Fund for Distinguished Young Scholars","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100014219","id-type":"DOI","asserted-by":"publisher"}]},{"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":[[2024,5,13]]},"DOI":"10.1109\/icra57147.2024.10610277","type":"proceedings-article","created":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T17:51:05Z","timestamp":1723139465000},"page":"2946-2952","source":"Crossref","is-referenced-by-count":11,"title":["RAPIDFlow: Recurrent Adaptable Pyramids with Iterative Decoding for Efficient Optical Flow Estimation"],"prefix":"10.1109","author":[{"given":"Henrique","family":"Morimitsu","sequence":"first","affiliation":[{"name":"University of Science and Technology Beijing,School of Computer and Communication Engineering,Beijing,China"}]},{"given":"Xiaobin","family":"Zhu","sequence":"additional","affiliation":[{"name":"University of Science and Technology Beijing,School of Computer and Communication Engineering,Beijing,China"}]},{"given":"Roberto M.","family":"Cesar","sequence":"additional","affiliation":[{"name":"University of S&#x00E3;o Paulo,Institute of Mathematics and Statistics,S&#x00E3;o Paulo,Brazil"}]},{"given":"Xiangyang","family":"Ji","sequence":"additional","affiliation":[{"name":"Tsinghua University,Department of Automation,Beijing,China"}]},{"given":"Xu-Cheng","family":"Yin","sequence":"additional","affiliation":[{"name":"University of Science and Technology Beijing,School of Computer and Communication Engineering,Beijing,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00151"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00570"},{"key":"ref3","article-title":"Conditional object-centric learning from video","author":"Kipf","year":"2022","journal-title":"ICLR"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.423"},{"key":"ref5","first-page":"16 558","article-title":"DROID-SLAM: Deep visual SLAM for monocular, stereo, and RGB-D cameras","author":"Teed","year":"2021","journal-title":"NeurIPS"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9560800"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00931"},{"key":"ref8","article-title":"PatchFlow: A two-stage patch-based approach for lightweight optical flow estimation","author":"Alhawwary","year":"2022","journal-title":"ACCV"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW59228.2023.00216"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_24"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.316"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00936"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00620"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00963"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01063"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00318"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19790-1_40"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00870"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01708"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00795"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01707"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01136"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01033"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01632"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00872"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/1531326.1531330"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s41095-023-0364-2"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01167"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01166"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3152596"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00590"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58565-5_11"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.179"},{"key":"ref36","article-title":"SKFlow: Learning optical flow with super kernels","author":"Sun","year":"2022","journal-title":"NeurIPS"},{"key":"ref37","article-title":"Delving deeper into convolutional networks for learning video representations","author":"Ballas","year":"2016","journal-title":"ICLR"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i5.28224"},{"key":"ref39","first-page":"2736","article-title":"Arbitrary shape text detection via segmentation with probability maps","volume":"45","author":"Zhang","year":"2023","journal-title":"TPAMI"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP46576.2022.9898048"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.438"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33783-3_44"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298925"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2016.10"},{"key":"ref45","article-title":"pynvml"},{"key":"ref46","article-title":"TensorRT"}],"event":{"name":"2024 IEEE International Conference on Robotics and Automation (ICRA)","location":"Yokohama, Japan","start":{"date-parts":[[2024,5,13]]},"end":{"date-parts":[[2024,5,17]]}},"container-title":["2024 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10609961\/10609862\/10610277.pdf?arnumber=10610277","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,10]],"date-time":"2024-08-10T05:46:43Z","timestamp":1723268803000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10610277\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,13]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/icra57147.2024.10610277","relation":{},"subject":[],"published":{"date-parts":[[2024,5,13]]}}}