{"id":"https://openalex.org/W4303449827","doi":"https://doi.org/10.1145/3503161.3548394","title":"Multi-Camera Collaborative Depth Prediction via Consistent Structure Estimation","display_name":"Multi-Camera Collaborative Depth Prediction via Consistent Structure Estimation","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4303449827","doi":"https://doi.org/10.1145/3503161.3548394"},"language":"en","primary_location":{"id":"doi:10.1145/3503161.3548394","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3548394","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","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":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2210.02009","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102999770","display_name":"Jialei Xu","orcid":"https://orcid.org/0009-0006-8897-1005"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialei Xu","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100654386","display_name":"Xianming Liu","orcid":"https://orcid.org/0000-0002-0039-2281"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianming Liu","raw_affiliation_strings":["Harbin Institute of Technology & Peng Cheng Laboratory, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology & Peng Cheng Laboratory, Harbin, China","institution_ids":["https://openalex.org/I4210136793","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024093994","display_name":"Yuanchao Bai","orcid":"https://orcid.org/0000-0003-3449-6537"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanchao Bai","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087165831","display_name":"Junjun Jiang","orcid":"https://orcid.org/0000-0002-5694-505X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjun Jiang","raw_affiliation_strings":["Harbin Institute of Technology & Peng Cheng Laboratory, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology & Peng Cheng Laboratory, Harbin, China","institution_ids":["https://openalex.org/I4210136793","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068220601","display_name":"Kaixuan Wang","orcid":"https://orcid.org/0000-0001-9584-9258"},"institutions":[{"id":"https://openalex.org/I4210148944","display_name":"D\u00e0-Ji\u0101ng Innovations Science and Technology (China)","ror":"https://ror.org/04fmkfb67","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210148944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaixuan Wang","raw_affiliation_strings":["Shenzhen DJI Sciences and Technologies Ltd., Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen DJI Sciences and Technologies Ltd., Shenzhen, China","institution_ids":["https://openalex.org/I4210148944"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089828993","display_name":"Xiaozhi Chen","orcid":"https://orcid.org/0009-0009-3064-6201"},"institutions":[{"id":"https://openalex.org/I4210148944","display_name":"D\u00e0-Ji\u0101ng Innovations Science and Technology (China)","ror":"https://ror.org/04fmkfb67","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210148944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaozhi Chen","raw_affiliation_strings":["Shenzhen DJI Sciences and Technologies Ltd., Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen DJI Sciences and Technologies Ltd., Shenzhen, China","institution_ids":["https://openalex.org/I4210148944"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024401174","display_name":"Xiangyang Ji","orcid":"https://orcid.org/0000-0002-7333-9975"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyang Ji","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2730","last_page":"2738"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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":1.0,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9977999925613403,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.7701252698898315},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7577660083770752},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6898086071014404},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.6862483024597168},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5867279767990112},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.519529402256012},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5070171356201172},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.49400097131729126},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4840940237045288},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3930455446243286},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16579154133796692}],"concepts":[{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.7701252698898315},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7577660083770752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6898086071014404},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.6862483024597168},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5867279767990112},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.519529402256012},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5070171356201172},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.49400097131729126},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4840940237045288},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3930455446243286},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16579154133796692},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3503161.3548394","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3548394","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","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":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2210.02009","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2210.02009","pdf_url":"https://arxiv.org/pdf/2210.02009","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2210.02009","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2210.02009","pdf_url":"https://arxiv.org/pdf/2210.02009","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/17"}],"awards":[{"id":"https://openalex.org/G7782315633","display_name":null,"funder_award_id":"61922027, 6207115, 61932022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1803059841","https://openalex.org/W2115579991","https://openalex.org/W2133665775","https://openalex.org/W2148534289","https://openalex.org/W2300779272","https://openalex.org/W2338968644","https://openalex.org/W2520707372","https://openalex.org/W2560722161","https://openalex.org/W2609883120","https://openalex.org/W2794572859","https://openalex.org/W2963221299","https://openalex.org/W2963488291","https://openalex.org/W2963654727","https://openalex.org/W2963706662","https://openalex.org/W2985775862","https://openalex.org/W2990946490","https://openalex.org/W3034375692","https://openalex.org/W3034530552","https://openalex.org/W3034600477","https://openalex.org/W3034604951","https://openalex.org/W3034976873","https://openalex.org/W3035574168","https://openalex.org/W3099108553","https://openalex.org/W3141975725","https://openalex.org/W3174458495","https://openalex.org/W3175682855","https://openalex.org/W3177322621","https://openalex.org/W4214520160","https://openalex.org/W4240153047","https://openalex.org/W4287281166"],"related_works":["https://openalex.org/W200819717","https://openalex.org/W2032269556","https://openalex.org/W1991834176","https://openalex.org/W2944448661","https://openalex.org/W2064421702","https://openalex.org/W4253756925","https://openalex.org/W2805523177","https://openalex.org/W3210711677","https://openalex.org/W4200218943","https://openalex.org/W3111845905"],"abstract_inverted_index":{"Depth":[0],"map":[1],"estimation":[2,87,120],"from":[3],"images":[4],"is":[5,131],"an":[6],"important":[7],"task":[8],"in":[9,95],"robotic":[10],"systems.":[11],"Existing":[12],"methods":[13],"can":[14,49],"be":[15],"categorized":[16],"into":[17],"two":[18],"groups":[19],"including":[20],"multi-view":[21],"stereo":[22],"and":[23,36,125,148],"monocular":[24],"depth":[25,66,86,93,119,136],"estimation.":[26],"The":[27],"former":[28],"requires":[29],"cameras":[30,124],"to":[31,133],"have":[32],"large":[33,73],"overlapping":[34,74,129],"areas":[35,75,130],"sufficient":[37],"baseline":[38],"between":[39,55,80],"cameras,":[40],"while":[41,76],"the":[42,52,85,97,108,113,116,126,134,139,152],"latter":[43],"that":[44,69],"processes":[45],"each":[46],"image":[47],"independently":[48],"hardly":[50],"guarantee":[51],"structure":[53,78],"consistency":[54,79,110],"cameras.":[56,81],"In":[57],"this":[58],"paper,":[59],"we":[60,83],"propose":[61],"a":[62,89,103],"novel":[63],"multi-camera":[64],"collaborative":[65],"prediction":[67],"method":[68],"does":[70],"not":[71],"require":[72],"maintaining":[77],"Specifically,":[82],"formulate":[84],"as":[88],"weighted":[90],"combination":[91],"of":[92,118,128,141,155],"basis,":[94],"which":[96],"weights":[98],"are":[99,121],"updated":[100],"iteratively":[101],"by":[102,107],"refinement":[104],"network":[105],"driven":[106],"proposed":[109],"loss.":[111],"During":[112],"iterative":[114],"update,":[115],"results":[117,145],"compared":[122],"across":[123],"information":[127],"propagated":[132],"whole":[135],"maps":[137],"with":[138],"help":[140],"basis":[142],"formulation.":[143],"Experimental":[144],"on":[146],"DDAD":[147],"NuScenes":[149],"datasets":[150],"demonstrate":[151],"superior":[153],"performance":[154],"our":[156],"method.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2022-10-07T00:00:00"}