{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T03:40:33Z","timestamp":1769571633342,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":23,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,1,19]],"date-time":"2024-01-19T00:00:00Z","timestamp":1705622400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100006374","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61727802, 62031018, 61971227"],"award-info":[{"award-number":["61727802, 62031018, 61971227"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006374","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2022M721620, 2023T160319"],"award-info":[{"award-number":["2022M721620, 2023T160319"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,1,19]]},"DOI":"10.1145\/3647649.3647715","type":"proceedings-article","created":{"date-parts":[[2024,5,3]],"date-time":"2024-05-03T19:40:20Z","timestamp":1714765220000},"page":"424-430","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Self-supervised Multi-frame Depth Completion based on Local-depth-field Cost Volume"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1074-5757","authenticated-orcid":false,"given":"Quan","family":"Zhang","sequence":"first","affiliation":[{"name":"Nanjing University of Science and Technology, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1026-2824","authenticated-orcid":false,"given":"Xiaoyu","family":"Chen","sequence":"additional","affiliation":[{"name":"Nanjing University of Science and Technology, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5106-6235","authenticated-orcid":false,"given":"Haotian","family":"Yu","sequence":"additional","affiliation":[{"name":"Nanjing University of Science and Technology, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1033-566X","authenticated-orcid":false,"given":"Jing","family":"Han","sequence":"additional","affiliation":[{"name":"Nanjing University of Science and Technology, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9088-2451","authenticated-orcid":false,"given":"Yi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Nanjing University of Science and Technology, China"}]}],"member":"320","published-online":{"date-parts":[[2024,5,3]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3023541"},{"key":"e_1_3_2_1_2_1","volume-title":"Conference on Robot Learning. PMLR, 685\u2013694","author":"Feng Ziyue","year":"2022","unstructured":"Ziyue Feng, Longlong Jing, Peng Yin, Yingli Tian, and Bing Li. 2022. Advancing self-supervised monocular depth learning with sparse liDAR. In Conference on Robot Learning. PMLR, 685\u2013694."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.3043172"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561035"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00742"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9560873"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2995996"},{"key":"e_1_3_2_1_9_1","volume-title":"ICLR: international conference on learning representations. ICLR US., 1\u201315","author":"Kingma P","year":"2015","unstructured":"Diederik\u00a0P Kingma and Jimmy\u00a0Lei Ba. 2015. Adam: A method for stochastic gradient descent. In ICLR: international conference on learning representations. ICLR US., 1\u201315."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3056048"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.3390\/s20061573"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793637"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.18178\/joig.6.1.59-63"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8917294"},{"key":"e_1_3_2_1_15_1","volume-title":"Proceedings, Part II 16","author":"Teed Zachary","year":"2020","unstructured":"Zachary Teed and Jia Deng. 2020. Raft: Recurrent all-pairs field transforms for optical flow. In Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part II 16. Springer, 402\u2013419."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2017.00012"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00122"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00605"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3058072"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3062602"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2969938"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01251"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00347"}],"event":{"name":"ICIGP 2024: 2024 the 7th International Conference on Image and Graphics Processing","location":"Beijing China","acronym":"ICIGP 2024"},"container-title":["Proceedings of the 2024 7th International Conference on Image and Graphics Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3647649.3647715","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3647649.3647715","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T14:54:26Z","timestamp":1769525666000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3647649.3647715"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,19]]},"references-count":23,"alternative-id":["10.1145\/3647649.3647715","10.1145\/3647649"],"URL":"https:\/\/doi.org\/10.1145\/3647649.3647715","relation":{},"subject":[],"published":{"date-parts":[[2024,1,19]]},"assertion":[{"value":"2024-05-03","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}