{"id":"https://openalex.org/W3016106724","doi":"https://doi.org/10.1007/s41095-020-0166-8","title":"G2MF-WA: Geometric multi-model fitting with weakly annotated data","display_name":"G2MF-WA: Geometric multi-model fitting with weakly annotated data","publication_year":2020,"publication_date":"2020-04-07","ids":{"openalex":"https://openalex.org/W3016106724","doi":"https://doi.org/10.1007/s41095-020-0166-8","mag":"3016106724"},"language":"en","primary_location":{"id":"doi:10.1007/s41095-020-0166-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-020-0166-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-020-0166-8.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007/s41095-020-0166-8.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089283853","display_name":"Chao Zhang","orcid":"https://orcid.org/0000-0002-0845-9217"},"institutions":[{"id":"https://openalex.org/I111966504","display_name":"University of Fukui","ror":"https://ror.org/00msqp585","country_code":"JP","type":"education","lineage":["https://openalex.org/I111966504"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Chao Zhang","raw_affiliation_strings":["University of Fukui, Fukui, 910-8507, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Fukui, Fukui, 910-8507, Japan","institution_ids":["https://openalex.org/I111966504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019288783","display_name":"Xuequan Lu","orcid":"https://orcid.org/0000-0003-0959-408X"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xuequan Lu","raw_affiliation_strings":["Deakin University, Waurn Ponds, 3216, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deakin University, Waurn Ponds, 3216, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016255943","display_name":"Katsuya Hotta","orcid":"https://orcid.org/0000-0002-8148-1445"},"institutions":[{"id":"https://openalex.org/I111966504","display_name":"University of Fukui","ror":"https://ror.org/00msqp585","country_code":"JP","type":"education","lineage":["https://openalex.org/I111966504"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Katsuya Hotta","raw_affiliation_strings":["University of Fukui, Fukui, 910-8507, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Fukui, Fukui, 910-8507, Japan","institution_ids":["https://openalex.org/I111966504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100613758","display_name":"Xi Yang","orcid":"https://orcid.org/0000-0003-2737-5948"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xi Yang","raw_affiliation_strings":["The University of Tokyo, Tokyo, 113-8656, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, 113-8656, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5089283853"],"corresponding_institution_ids":["https://openalex.org/I111966504"],"apc_list":null,"apc_paid":null,"fwci":0.1961,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.47952238,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6","issue":"2","first_page":"135","last_page":"145"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9988999962806702,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9988999962806702,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9983999729156494,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9979000091552734,"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":0.7618433237075806},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4955374002456665},{"id":"https://openalex.org/keywords/data-point","display_name":"Data point","score":0.4406401515007019},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3981991410255432},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3851117491722107},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36729156970977783},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3265039920806885},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2634872496128082}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7618433237075806},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4955374002456665},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.4406401515007019},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3981991410255432},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3851117491722107},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36729156970977783},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3265039920806885},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2634872496128082}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s41095-020-0166-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-020-0166-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-020-0166-8.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f7cdfbfe0761476ea52f429f6c5c8d1a","is_oa":true,"landing_page_url":"https://doaj.org/article/f7cdfbfe0761476ea52f429f6c5c8d1a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Visual Media, Vol 6, Iss 2, Pp 135-145 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s41095-020-0166-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-020-0166-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-020-0166-8.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2470675881","display_name":null,"funder_award_id":"CY01-251301-F003-PJ03906-PG00447","funder_id":"https://openalex.org/F4320320970","funder_display_name":"Deakin University"},{"id":"https://openalex.org/G945415630","display_name":null,"funder_award_id":"JP18K17823","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320320970","display_name":"Deakin University","ror":"https://ror.org/02czsnj07"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3016106724.pdf","grobid_xml":"https://content.openalex.org/works/W3016106724.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1519594923","https://openalex.org/W1561329191","https://openalex.org/W1608008825","https://openalex.org/W1927667002","https://openalex.org/W1971410590","https://openalex.org/W2002875082","https://openalex.org/W2015245929","https://openalex.org/W2017301540","https://openalex.org/W2024276620","https://openalex.org/W2033819227","https://openalex.org/W2037139490","https://openalex.org/W2053627315","https://openalex.org/W2085261163","https://openalex.org/W2099295295","https://openalex.org/W2100730563","https://openalex.org/W2105248082","https://openalex.org/W2106199912","https://openalex.org/W2108836590","https://openalex.org/W2113635243","https://openalex.org/W2114674762","https://openalex.org/W2119185245","https://openalex.org/W2124351162","https://openalex.org/W2130017587","https://openalex.org/W2134138606","https://openalex.org/W2135245997","https://openalex.org/W2148852318","https://openalex.org/W2150722677","https://openalex.org/W2186123289","https://openalex.org/W2528666896","https://openalex.org/W2556455135","https://openalex.org/W2621560210","https://openalex.org/W2623012778","https://openalex.org/W3184458996","https://openalex.org/W4234288597","https://openalex.org/W4234552385","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2989452537","https://openalex.org/W2052122378","https://openalex.org/W2544423928","https://openalex.org/W2062023542"],"abstract_inverted_index":{"In":[0,25],"this":[1,138],"paper":[2],"we":[3,83],"address":[4],"the":[5,56,67,78,111,115,122,133,142,155,188],"problem":[6],"of":[7,58,92,130,144],"geometric":[8],"multi-model":[9,97],"fitting":[10,98],"using":[11,110],"a":[12,73,85,101,127,166],"few":[13],"weakly":[14],"annotated":[15,120],"data":[16,44,94,119,149],"points,":[17],"which":[18],"has":[19,126],"been":[20],"little":[21],"studied":[22],"so":[23],"far.":[24],"weak":[26,124],"annotating":[27],"(WA),":[28],"most":[29,214],"manual":[30],"annotations":[31],"are":[32,158],"supposed":[33],"to":[34,88,95,132,160],"be":[35,161],"correct":[36],"yet":[37],"inevitably":[38],"mixed":[39],"with":[40,72,121],"incorrect":[41],"ones.":[42],"SuchWA":[43],"can":[45,62],"naturally":[46],"arise":[47],"through":[48],"interaction":[49],"in":[50,55,185,193,213],"various":[51],"tasks.":[52],"For":[53],"example,":[54],"case":[57],"homography":[59],"estimation,":[60],"one":[61],"easily":[63],"annotate":[64],"points":[65],"on":[66,152],"same":[68,123,134],"plane":[69],"or":[70,153,168],"object":[71],"single":[74],"label":[75,125],"by":[76,81],"observing":[77],"image.":[79],"Motivated":[80],"this,":[82],"propose":[84],"novel":[86],"method":[87,184,201],"make":[89],"full":[90],"use":[91],"WA":[93,112,118],"boost":[96],"performance.":[99],"Specifically,":[100],"graph":[102],"for":[103,170,180],"model":[104,157],"proposal":[105,172],"sampling":[106],"is":[107,178],"first":[108],"constructed":[109],"data,":[113],"given":[114],"prior":[116,139],"that":[117,204],"high":[128],"probability":[129],"belonging":[131],"model.":[135],"By":[136],"incorporating":[137],"knowledge":[140],"into":[141],"calculation":[143],"edge":[145],"probabilities,":[146],"vertices":[147],"(i.e.,":[148],"points)":[150],"lying":[151],"near":[154],"latent":[156],"likely":[159],"associated":[162],"and":[163,182,202],"further":[164],"form":[165],"subset":[167],"cluster":[169],"effective":[171],"generation.":[173],"Having":[174],"generated":[175],"proposals,":[176],"a-expansion":[177],"used":[179],"labeling,":[181],"our":[183,200],"return":[186],"updates":[187],"proposals.":[189],"This":[190],"procedure":[191],"works":[192],"an":[194],"iterative":[195],"way.":[196],"Extensive":[197],"experiments":[198],"validate":[199],"show":[203],"it":[205],"produces":[206],"noticeably":[207],"better":[208],"results":[209],"than":[210],"state-of-the-art":[211],"techniques":[212],"cases.":[215]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
