{"id":"https://openalex.org/W3030188676","doi":"https://doi.org/10.1145/3392858","title":"C-Reference: Improving 2D to 3D Object Pose Estimation Accuracy via Crowdsourced Joint Object Estimation","display_name":"C-Reference: Improving 2D to 3D Object Pose Estimation Accuracy via Crowdsourced Joint Object Estimation","publication_year":2020,"publication_date":"2020-05-28","ids":{"openalex":"https://openalex.org/W3030188676","doi":"https://doi.org/10.1145/3392858","mag":"3030188676"},"language":"en","primary_location":{"id":"doi:10.1145/3392858","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3392858","pdf_url":null,"source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Human-Computer Interaction","raw_type":"journal-article"},"type":"article","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/A5058977902","display_name":"Jean Song","orcid":"https://orcid.org/0000-0003-4379-3971"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jean Y. Song","raw_affiliation_strings":["University of Michigan - Ann Arbor, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan - Ann Arbor, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081068980","display_name":"John Joon Young Chung","orcid":"https://orcid.org/0000-0002-8492-2525"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Joon Young Chung","raw_affiliation_strings":["University of Michigan - Ann Arbor, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan - Ann Arbor, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035759008","display_name":"David F. Fouhey","orcid":"https://orcid.org/0000-0001-5028-5161"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David F. Fouhey","raw_affiliation_strings":["University of Michigan - Ann Arbor, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan - Ann Arbor, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063574664","display_name":"Walter S. Lasecki","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Walter S. Lasecki","raw_affiliation_strings":["University of Michigan - Ann Arbor, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan - Ann Arbor, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5298,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.86122056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"4","issue":"CSCW1","first_page":"1","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10914","display_name":"Tactile and Sensory Interactions","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.789417028427124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.781089186668396},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.7710037231445312},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7031921148300171},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6209563612937927},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5909583568572998},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.5338970422744751},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.4785807132720947},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.45851564407348633},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.43697723746299744},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32694685459136963}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.789417028427124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.781089186668396},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.7710037231445312},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7031921148300171},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6209563612937927},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5909583568572998},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.5338970422744751},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.4785807132720947},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.45851564407348633},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.43697723746299744},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32694685459136963},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3392858","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3392858","pdf_url":null,"source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Human-Computer Interaction","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W9014458","https://openalex.org/W107942617","https://openalex.org/W127013308","https://openalex.org/W1498183729","https://openalex.org/W1592011777","https://openalex.org/W1598098030","https://openalex.org/W1827848544","https://openalex.org/W1905829557","https://openalex.org/W1923184257","https://openalex.org/W1946609740","https://openalex.org/W1970381522","https://openalex.org/W1991264156","https://openalex.org/W1991544872","https://openalex.org/W2005126631","https://openalex.org/W2033819227","https://openalex.org/W2045515072","https://openalex.org/W2051441824","https://openalex.org/W2055302526","https://openalex.org/W2055733113","https://openalex.org/W2059319345","https://openalex.org/W2071042563","https://openalex.org/W2083003516","https://openalex.org/W2085261163","https://openalex.org/W2096600681","https://openalex.org/W2096773883","https://openalex.org/W2098865355","https://openalex.org/W2107942601","https://openalex.org/W2113107168","https://openalex.org/W2120782975","https://openalex.org/W2123043875","https://openalex.org/W2123224804","https://openalex.org/W2150066425","https://openalex.org/W2155871590","https://openalex.org/W2162440713","https://openalex.org/W2163986367","https://openalex.org/W2164665953","https://openalex.org/W2216621827","https://openalex.org/W2290009368","https://openalex.org/W2519379752","https://openalex.org/W2532511219","https://openalex.org/W2539923485","https://openalex.org/W2560722161","https://openalex.org/W2594519801","https://openalex.org/W2604664091","https://openalex.org/W2765338284","https://openalex.org/W2772518193","https://openalex.org/W2794122052","https://openalex.org/W2806019599","https://openalex.org/W2886668163","https://openalex.org/W2903994599","https://openalex.org/W2911733715","https://openalex.org/W2917506135","https://openalex.org/W2917794201","https://openalex.org/W2963072537","https://openalex.org/W2963177347","https://openalex.org/W2963825193","https://openalex.org/W2963893349","https://openalex.org/W2967708711","https://openalex.org/W2980692729","https://openalex.org/W2985375821","https://openalex.org/W2987755095","https://openalex.org/W2997469466","https://openalex.org/W3032777522","https://openalex.org/W3105621768","https://openalex.org/W3106510757","https://openalex.org/W3121257585","https://openalex.org/W4237639524","https://openalex.org/W4285719527","https://openalex.org/W4298417552"],"related_works":["https://openalex.org/W4253893311","https://openalex.org/W2798721181","https://openalex.org/W3201205132","https://openalex.org/W4287600488","https://openalex.org/W4312694060","https://openalex.org/W4281696776","https://openalex.org/W4318148659","https://openalex.org/W4387967917","https://openalex.org/W4299867837","https://openalex.org/W2951583186"],"abstract_inverted_index":{"Converting":[0],"widely-available":[1],"2D":[2],"images":[3],"and":[4,52,109,194,234],"videos,":[5],"captured":[6],"using":[7],"an":[8],"RGB":[9],"camera,":[10],"to":[11,31,34,68,73,91,100,143,226,236],"3D":[12,85,94,111,146,206],"can":[13,155,199],"help":[14],"accelerate":[15],"the":[16,101,145,160,180,203],"training":[17],"of":[18,78,84,103,139,148,159,229],"machine":[19],"learning":[20],"systems":[21],"in":[22,202],"spatial":[23,76,177],"reasoning":[24],"domains":[25],"ranging":[26],"from":[27,167],"in-home":[28],"assistive":[29],"robots":[30],"augmented":[32],"reality":[33],"autonomous":[35],"vehicles.":[36],"However,":[37],"automating":[38],"this":[39,70,125],"task":[40],"is":[41,72,97],"challenging":[42,243],"because":[43],"it":[44],"requires":[45,56],"not":[46,116],"only":[47,214],"accurately":[48],"estimating":[49],"object":[50,86,162,187],"location":[51,207],"orientation,":[53],"but":[54],"also":[55],"knowing":[57],"currently":[58],"unknown":[59],"camera":[60],"properties":[61,95],"(e.g.,":[62],"focal":[63],"length).":[64],"A":[65],"scalable":[66],"way":[67,225],"combat":[69],"problem":[71],"leverage":[74],"people's":[75,110],"understanding":[77],"scenes":[79],"by":[80,163,209],"crowdsourcing":[81],"visual":[82,244],"annotations":[83],"properties.":[87],"Unfortunately,":[88],"getting":[89],"people":[90,230],"directly":[92],"estimate":[93,144],"reliably":[96],"difficult":[98],"due":[99],"limitations":[102],"image":[104],"resolution,":[105],"human":[106,218],"motor":[107],"accuracy,":[108],"perception":[112],"(i.e.,":[113],"humans":[114],"do":[115],"\"see\"":[117],"depth":[118],"like":[119],"a":[120,129,149,176,223],"laser":[121],"range":[122],"finder).":[123],"In":[124],"paper,":[126],"we":[127],"propose":[128],"crowd-machine":[130],"hybrid":[131],"approach":[132,154,189],"that":[133,174,196],"jointly":[134],"uses":[135],"crowds'":[136],"approximate":[137],"measurements":[138],"multiple":[140,168],"in-scene":[141],"objects":[142,173],"state":[147],"single":[150],"target":[151,161,181,204],"object.":[152,182],"Our":[153,220],"generate":[156],"accurate":[157,239],"estimates":[158],"combining":[164],"heterogeneous":[165],"knowledge":[166,235],"contributors":[169],"regarding":[170],"various":[171],"different":[172,232],"share":[175],"relationship":[178],"with":[179,190,231],"We":[183],"evaluate":[184],"our":[185,197],"joint":[186],"estimation":[188,208],"363":[191],"crowd":[192],"workers":[193],"show":[195],"method":[198],"reduce":[200],"errors":[201],"object's":[205],"over":[210],"40%,":[211],"while":[212],"requiring":[213],"$35$%":[215],"as":[216],"much":[217],"time.":[219],"work":[221],"introduces":[222],"novel":[224],"enable":[227],"groups":[228],"perspectives":[233],"achieve":[237],"more":[238],"collective":[240],"performance":[241],"on":[242],"annotation":[245],"tasks.":[246]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
