{"id":"https://openalex.org/W4225987522","doi":"https://doi.org/10.1109/icra46639.2022.9811556","title":"Depth Completion Using Geometry-Aware Embedding","display_name":"Depth Completion Using Geometry-Aware Embedding","publication_year":2022,"publication_date":"2022-05-23","ids":{"openalex":"https://openalex.org/W4225987522","doi":"https://doi.org/10.1109/icra46639.2022.9811556"},"language":"en","primary_location":{"id":"doi:10.1109/icra46639.2022.9811556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra46639.2022.9811556","pdf_url":null,"source":{"id":"https://openalex.org/S4363607759","display_name":"2022 International Conference on Robotics and Automation (ICRA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114950325","display_name":"Wenchao Du","orcid":"https://orcid.org/0000-0001-9237-7048"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenchao du","raw_affiliation_strings":["College of Computer Science, Sichuan University,Chengdu,China,610065"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University,Chengdu,China,610065","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100357677","display_name":"Hu Chen","orcid":"https://orcid.org/0000-0001-9300-6572"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hu Chen","raw_affiliation_strings":["College of Computer Science, Sichuan University,Chengdu,China,610065"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University,Chengdu,China,610065","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100542752","display_name":"Yang Hongyu","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyu Yang","raw_affiliation_strings":["College of Computer Science, Sichuan University,Chengdu,China,610065"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University,Chengdu,China,610065","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100388188","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0002-5867-9322"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["College of Computer Science, Sichuan University,Chengdu,China,610065"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University,Chengdu,China,610065","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8680","last_page":"8686"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7756627202033997},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7556954622268677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6653555631637573},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5369543433189392},{"id":"https://openalex.org/keywords/geometric-primitive","display_name":"Geometric primitive","score":0.5349140763282776},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5192206501960754},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4631229341030121},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4395800828933716},{"id":"https://openalex.org/keywords/solid-modeling","display_name":"Solid modeling","score":0.4386807084083557},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.43701010942459106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4325675368309021},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4313367009162903},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4300234615802765},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3985113799571991},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3608987331390381},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3447689116001129},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.33210161328315735},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24206089973449707}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7756627202033997},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7556954622268677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6653555631637573},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5369543433189392},{"id":"https://openalex.org/C181095308","wikidata":"https://www.wikidata.org/wiki/Q1541599","display_name":"Geometric primitive","level":2,"score":0.5349140763282776},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5192206501960754},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4631229341030121},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4395800828933716},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.4386807084083557},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.43701010942459106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4325675368309021},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4313367009162903},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4300234615802765},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3985113799571991},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3608987331390381},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3447689116001129},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.33210161328315735},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24206089973449707},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra46639.2022.9811556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra46639.2022.9811556","pdf_url":null,"source":{"id":"https://openalex.org/S4363607759","display_name":"2022 International Conference on Robotics and Automation (ICRA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1522301498","https://openalex.org/W1644641054","https://openalex.org/W1967027087","https://openalex.org/W2005441409","https://openalex.org/W2125186487","https://openalex.org/W2560609797","https://openalex.org/W2762439315","https://openalex.org/W2794739174","https://openalex.org/W2798297823","https://openalex.org/W2885093229","https://openalex.org/W2886851716","https://openalex.org/W2899479761","https://openalex.org/W2942498895","https://openalex.org/W2962928871","https://openalex.org/W2963045776","https://openalex.org/W2963121255","https://openalex.org/W2963163009","https://openalex.org/W2963231572","https://openalex.org/W2963312728","https://openalex.org/W2963316641","https://openalex.org/W2963867516","https://openalex.org/W2964242696","https://openalex.org/W2964326562","https://openalex.org/W2968373168","https://openalex.org/W2969202876","https://openalex.org/W2979750740","https://openalex.org/W2986701260","https://openalex.org/W2988910664","https://openalex.org/W2991593752","https://openalex.org/W2992464978","https://openalex.org/W2998031326","https://openalex.org/W2998293366","https://openalex.org/W3003796433","https://openalex.org/W3012906818","https://openalex.org/W3035289617","https://openalex.org/W3080631149","https://openalex.org/W3101424466","https://openalex.org/W3103830518","https://openalex.org/W3109128945","https://openalex.org/W3110653837","https://openalex.org/W3165495321","https://openalex.org/W3175720495","https://openalex.org/W3180194985","https://openalex.org/W3189360099","https://openalex.org/W3206335707","https://openalex.org/W6605121731","https://openalex.org/W6631190155","https://openalex.org/W6678589667","https://openalex.org/W6739778489","https://openalex.org/W6743759585","https://openalex.org/W6747904511","https://openalex.org/W6761590077","https://openalex.org/W6763422710","https://openalex.org/W6774990795"],"related_works":["https://openalex.org/W2182520913","https://openalex.org/W2766140496","https://openalex.org/W2980582925","https://openalex.org/W4200421231","https://openalex.org/W2047372497","https://openalex.org/W3216577025","https://openalex.org/W2737100167","https://openalex.org/W4389574804","https://openalex.org/W3033747112","https://openalex.org/W4283712015"],"abstract_inverted_index":{"Exploiting":[0],"internal":[1],"spatial":[2],"geometric":[3,35,63,106],"constraints":[4],"of":[5,89],"sparse":[6],"LiDARs":[7],"is":[8,101,176],"beneficial":[9],"to":[10,25,48,60,85,98,102,115],"depth":[11,51],"completion,":[12],"however,":[13],"has":[14],"been":[15],"not":[16],"explored":[17],"well.":[18],"This":[19],"paper":[20],"proposes":[21],"an":[22],"efficient":[23,73],"method":[24,100,130,157],"learn":[26],"geometry-aware":[27],"embedding,":[28],"which":[29,113],"encodes":[30],"the":[31,56,90,120,128],"local":[32],"and":[33,46,72,80,122,134,172],"global":[34],"structure":[36],"information":[37,84],"from":[38,65],"3D":[39,105],"points,":[40],"e.g.,":[41],"scene":[42,91],"layout,":[43],"object's":[44],"sizes":[45],"shapes,":[47],"guide":[49],"dense":[50],"estimation.":[52],"Specifically,":[53],"we":[54,76],"utilize":[55],"dynamic":[57],"graph":[58],"representation":[59,107],"model":[61],"generalized":[62],"relationship":[64],"irregular":[66],"point":[67],"clouds":[68],"in":[69,142],"a":[70,109,116,164],"flexible":[71],"manner.":[74],"Further,":[75],"joint":[77],"this":[78],"embedding":[79],"corresponded":[81],"RGB":[82],"appearance":[83],"infer":[86],"missing":[87],"depths":[88,138],"with":[92,139,163],"well":[93],"structure-preserved":[94],"details.":[95],"The":[96,149,174],"key":[97],"our":[99,156],"integrate":[103],"implicit":[104],"into":[108,155],"2D":[110],"learning":[111],"architecture,":[112],"leads":[114],"better":[117,169],"trade-off":[118],"between":[119],"performance":[121],"efficiency.":[123],"Extensive":[124],"experiments":[125],"demonstrate":[126],"that":[127,144,158],"proposed":[129],"outperforms":[131],"previous":[132],"works":[133],"could":[135,159],"reconstruct":[136],"fine":[137],"crisp":[140],"boundaries":[141],"regions":[143],"are":[145],"over-smoothed":[146],"by":[147],"them.":[148],"ablation":[150],"study":[151],"gives":[152],"more":[153],"insights":[154],"achieve":[160],"significant":[161],"gains":[162],"simple":[165],"design,":[166],"while":[167],"having":[168],"generalization":[170],"capability":[171],"stability.":[173],"code":[175],"available":[177],"at":[178],"https://github.com/Wenchao-Du/GAENet.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
