{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T18:53:38Z","timestamp":1785956018246,"version":"3.56.0"},"reference-count":82,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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","award":["62125603"],"award-info":[{"award-number":["62125603"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62336004"],"award-info":[{"award-number":["62336004"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62321005"],"award-info":[{"award-number":["62321005"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tip.2024.3355807","type":"journal-article","created":{"date-parts":[[2024,1,24]],"date-time":"2024-01-24T13:49:28Z","timestamp":1706104168000},"page":"1016-1031","source":"Crossref","is-referenced-by-count":16,"title":["Structure-Aware Cross-Modal Transformer for Depth Completion"],"prefix":"10.1109","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9635-0715","authenticated-orcid":false,"given":"Linqing","family":"Zhao","sequence":"first","affiliation":[{"name":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9886-6851","authenticated-orcid":false,"given":"Yi","family":"Wei","sequence":"additional","affiliation":[{"name":"Department of Automation, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiaxin","family":"Li","sequence":"additional","affiliation":[{"name":"Gaussian Robotics, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7701-234X","authenticated-orcid":false,"given":"Jie","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Automation, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6121-5529","authenticated-orcid":false,"given":"Jiwen","family":"Lu","sequence":"additional","affiliation":[{"name":"Department of Automation, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Deep depth completion from extremely sparse data: A survey","author":"Hu","year":"2022","journal-title":"arXiv:2205.05335"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9636494"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ISMAR.2017.28"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.01029"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00787"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3124079"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00399"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460184"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_7"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6635"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58601-0_8"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093407"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2017.00012"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00347"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00261"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01273"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_9"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58529-7_33"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.556"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3040528"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i3.16311"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3079821"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.01012"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2960589"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3120042"},{"key":"ref26","article-title":"RigNet: Repetitive image guided network for depth completion","author":"Yan","year":"2021","journal-title":"arXiv:2107.13802"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3117254"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i2.20055"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00343"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00290"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12257"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01251"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561035"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01919"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00179"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00069"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00584"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3114428"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3023629"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00305"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00200"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3068712"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01276"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58523-5_43"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00415"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00730"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2878956"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01547-8"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01414"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00444"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00564"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.401"},{"key":"ref53","article-title":"PointNet++: Deep hierarchical feature learning on point sets in a metric space","author":"Qi","year":"2017","journal-title":"arXiv:1706.02413"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00961"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.16"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00139"},{"key":"ref57","first-page":"1","article-title":"Attention is all you need","volume":"30","author":"Vaswani","year":"2017","journal-title":"Proc. NeurIPS"},{"key":"ref58","first-page":"1","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","volume-title":"Proc. ICLR","author":"Dosovitskiy"},{"key":"ref59","first-page":"10347","article-title":"Training data-efficient image transformers & distillation through attention","volume-title":"Proc. ICML","author":"Touvron"},{"key":"ref60","first-page":"9355","article-title":"Twins: Revisiting the design of spatial attention in vision transformers","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Chu"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01227"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01595"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1007\/s41095-021-0229-5"},{"key":"ref64","first-page":"1","article-title":"Deformable DETR: Deformable transformers for end-to-end object detection","volume-title":"Proc. ICLR","author":"Zhu"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00910"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01132"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2929170"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793637"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2969938"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3058072"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3096499"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20086-1_3"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.127"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_38"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00026"},{"key":"ref77","first-page":"1","article-title":"Learning affinity via spatial propagation networks","volume-title":"Proc. NeurIPS","author":"Liu"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01370"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33715-4_54"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58577-8_21"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3060396"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/10346232\/10413957.pdf?arnumber=10413957","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T18:46:29Z","timestamp":1763059589000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10413957\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":82,"URL":"https:\/\/doi.org\/10.1109\/tip.2024.3355807","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}