{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,27]],"date-time":"2025-07-27T07:52:18Z","timestamp":1753602738106,"version":"3.37.3"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"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"}]},{"DOI":"10.13039\/501100017607","name":"Shenzhen Fundamental Research Program","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100017607","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,4]]},"DOI":"10.1109\/icassp49357.2023.10096870","type":"proceedings-article","created":{"date-parts":[[2023,5,5]],"date-time":"2023-05-05T17:28:30Z","timestamp":1683307710000},"page":"1-5","source":"Crossref","is-referenced-by-count":6,"title":["Gator: Graph-Aware Transformer with Motion-Disentangled Regression for Human Mesh Recovery from a 2D Pose"],"prefix":"10.1109","author":[{"given":"Yingxuan","family":"You","sequence":"first","affiliation":[{"name":"Peking University, Shenzhen Graduate School,Key Laboratory of Machine Perception"}]},{"given":"Hong","family":"Liu","sequence":"additional","affiliation":[{"name":"Peking University, Shenzhen Graduate School,Key Laboratory of Machine Perception"}]},{"given":"Xia","family":"Li","sequence":"additional","affiliation":[{"name":"ETH Zürich,Department of Computer Science"}]},{"given":"Wenhao","family":"Li","sequence":"additional","affiliation":[{"name":"Peking University, Shenzhen Graduate School,Key Laboratory of Machine Perception"}]},{"given":"Ti","family":"Wang","sequence":"additional","affiliation":[{"name":"Peking University, Shenzhen Graduate School,Key Laboratory of Machine Perception"}]},{"given":"Runwei","family":"Ding","sequence":"additional","affiliation":[{"name":"Peking University, Shenzhen Graduate School,Key Laboratory of Machine Perception"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00199"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00463"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2018.00024"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01273"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i3.16326"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.248"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01286"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01270"},{"key":"ref33","first-page":"740","article-title":"Microsoft COCO: Common objects in context","author":"lin","year":"2014","journal-title":"Proc ECCV"},{"article-title":"GraphMLP: A graph MLP-like architecture for 3D human pose estimation","year":"2022","author":"li","key":"ref10"},{"key":"ref32","first-page":"601","article-title":"Recovering accurate 3D human pose in the wild using imus and a moving camera","author":"von marcard","year":"2018","journal-title":"Proc ECCV"},{"key":"ref2","first-page":"769","article-title":"Pose2Mesh: Graph convolutional network for 3D human pose and mesh recovery from a 2D human pose","author":"choi","year":"2020","journal-title":"Proc ECCV"},{"article-title":"Recovering 3D human mesh from monocular images: A survey","year":"2022","author":"tian","key":"ref1"},{"key":"ref17","first-page":"752","article-title":"I2L-MeshNet: Image-to-lixel prediction network for accurate 3D human pose and mesh estimation from a single RGB image","author":"moon","year":"2020","journal-title":"Proc ECCV"},{"key":"ref16","first-page":"28877","article-title":"Do transformers really perform badly for graph representationƒ","author":"ying","year":"2021","journal-title":"Proc NeurIPS"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/2816795.2818013"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2614028.2615427"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01125"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00234"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00176"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01140"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01231-1_33"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00744"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00712"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00200"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00530"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9746244"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01280"},{"key":"ref7","article-title":"Exploiting temporal contexts with strided transformer for 3D human pose estimation","author":"li","year":"2022","journal-title":"IEEE TMM"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01128"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3547844"},{"key":"ref3","first-page":"104","article-title":"A progressive quadric graph convolutional network for 3D human mesh recovery","author":"wang","year":"2022","journal-title":"IEEE TCSVT"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01124"},{"article-title":"MUG: Multi-human graph network for 3D mesh reconstruction from 2D pose","year":"2022","author":"wu","key":"ref5"}],"event":{"name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2023,6,4]]},"location":"Rhodes Island, Greece","end":{"date-parts":[[2023,6,10]]}},"container-title":["ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10094559\/10094560\/10096870.pdf?arnumber=10096870","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T17:38:05Z","timestamp":1729705085000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10096870\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,4]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/icassp49357.2023.10096870","relation":{},"subject":[],"published":{"date-parts":[[2023,6,4]]}}}