{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T17:06:43Z","timestamp":1773248803396,"version":"3.50.1"},"reference-count":64,"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"}],"funder":[{"DOI":"10.13039\/100000001","name":"US National Science Foundation","doi-asserted-by":"publisher","award":["FW-HTF 1839971"],"award-info":[{"award-number":["FW-HTF 1839971"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,5,29]]},"DOI":"10.1109\/icra48891.2023.10161259","type":"proceedings-article","created":{"date-parts":[[2023,7,4]],"date-time":"2023-07-04T17:20:56Z","timestamp":1688491256000},"page":"6138-6145","source":"Crossref","is-referenced-by-count":5,"title":["Pose Relation Transformer Refine Occlusions for Human Pose Estimation"],"prefix":"10.1109","author":[{"given":"Hyung-gun","family":"Chi","sequence":"first","affiliation":[{"name":"School of Electrical and Computer Engineering, Purdue University"}]},{"given":"Seunggeun","family":"Chi","sequence":"additional","affiliation":[{"name":"School of Electrical and Computer Engineering, Purdue University"}]},{"given":"Stanley","family":"Chan","sequence":"additional","affiliation":[{"name":"School of Electrical and Computer Engineering, Purdue University"}]},{"given":"Karthik","family":"Ramani","sequence":"additional","affiliation":[{"name":"School of Electrical and Computer Engineering, Purdue University"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.512"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00794"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.214"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.248"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00326"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12270"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.284"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00551"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.525"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.381"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00371"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00022"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_19"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01208"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2019.102897"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.163"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref50","first-page":"807","article-title":"Rectified linear units improve restricted boltzmann machines","author":"nair","year":"0","journal-title":"Proceedings of the 27th International Conference on Machine Learning (ICML-10)"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2983686"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01030"},{"key":"ref48","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"0","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01231-1_33"},{"key":"ref42","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1007\/978-3-319-46484-8_29","article-title":"Stacked hourglass networks for human pose estimation","author":"newell","year":"2016","journal-title":"European Conference on Computer Vision 2016"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01145"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3414041"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00584"},{"key":"ref49","article-title":"Layer normalization","author":"ba","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00664"},{"key":"ref7","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018561"},{"key":"ref4","article-title":"Dexmv: Imitation learning for dexterous manipulation from human videos","author":"qin","year":"2021","journal-title":"ArXiv Preprint"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794230"},{"key":"ref6","article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-021-06449-x"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01159"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00033"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00681"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01270"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01955"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00009"},{"key":"ref30","article-title":"An image is worth 16×16 words: Transformers for image recognition at scale","author":"dosovitskiy","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref33","first-page":"213","article-title":"End-to-end object detection with transformers","author":"carion","year":"2020","journal-title":"European Conference on Computer Vision"},{"key":"ref32","article-title":"Deformable detr: Deformable transformers for end-to-end object detection","author":"zhu","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197117"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8462833"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58595-2_2"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01112"},{"key":"ref24","first-page":"1154","article-title":"Real-time hand tracking under occlusion from an egocentric rgb-d sensor","author":"mueller","year":"0","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00013"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_49"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00081"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00050"},{"key":"ref64","author":"contributors","year":"2020","journal-title":"Openmmlab pose estimation toolbox and benchmark"},{"key":"ref63","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Comment Published as a conference paper at the 3rd International Conference for Learning Representations"},{"key":"ref22","article-title":"First-person view hand segmentation of multi-modal hand activity video dataset","author":"kim","year":"0","journal-title":"BMVC 2020"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00090"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01012"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2018.8545226"},{"key":"ref29","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00740"},{"key":"ref62","article-title":"Pytorch: An imperative style, high-performance deep learning library","volume":"32","author":"paszke","year":"0","journal-title":"Advances in neural information processing systems"},{"key":"ref61","article-title":"How robust is 3d human pose estimation to occlusion?","author":"s\u00e1r\u00e1ndi","year":"2018","journal-title":"ArXiv Preprint"}],"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\/10161259.pdf?arnumber=10161259","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,24]],"date-time":"2023-07-24T17:34:04Z","timestamp":1690220044000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10161259\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,29]]},"references-count":64,"URL":"https:\/\/doi.org\/10.1109\/icra48891.2023.10161259","relation":{},"subject":[],"published":{"date-parts":[[2023,5,29]]}}}