{"id":"https://openalex.org/W1560080386","doi":"https://doi.org/10.1109/fg.2015.7163083","title":"Improved weak labels using contextual cues for person identification in videos","display_name":"Improved weak labels using contextual cues for person identification in videos","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1560080386","doi":"https://doi.org/10.1109/fg.2015.7163083","mag":"1560080386"},"language":"en","primary_location":{"id":"doi:10.1109/fg.2015.7163083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg.2015.7163083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-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/A5003125633","display_name":"Makarand Tapaswi","orcid":"https://orcid.org/0000-0001-8800-9015"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Makarand Tapaswi","raw_affiliation_strings":["Karlsruhe Institute of Technology, Karlsruhe, Germany","Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019890262","display_name":"Martin B\u00e4uml","orcid":null},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Bauml","raw_affiliation_strings":["Karlsruhe Institute of Technology, Karlsruhe, Germany","Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087051920","display_name":"Rainer Stiefelhagen","orcid":"https://orcid.org/0000-0001-8046-4945"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rainer Stiefelhagen","raw_affiliation_strings":["Karlsruhe Institute of Technology, Karlsruhe, Germany","Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003125633"],"corresponding_institution_ids":["https://openalex.org/I102335020"],"apc_list":null,"apc_paid":null,"fwci":2.5773,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.9297511,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998000264167786,"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/T11448","display_name":"Face recognition and analysis","score":0.9998000264167786,"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/T10860","display_name":"Speech and Audio Processing","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9958000183105469,"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/computer-science","display_name":"Computer science","score":0.8261716365814209},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.7427749633789062},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7223210334777832},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6850359439849854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6170620322227478},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5921724438667297},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4578827917575836},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.42518049478530884},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41060927510261536},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40260106325149536},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3551056683063507},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3501804769039154},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06739288568496704}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8261716365814209},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.7427749633789062},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7223210334777832},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6850359439849854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6170620322227478},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5921724438667297},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4578827917575836},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.42518049478530884},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41060927510261536},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40260106325149536},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3551056683063507},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3501804769039154},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06739288568496704},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fg.2015.7163083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg.2015.7163083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W38568571","https://openalex.org/W1797158261","https://openalex.org/W1872883209","https://openalex.org/W1998294030","https://openalex.org/W2015394094","https://openalex.org/W2055251102","https://openalex.org/W2055622086","https://openalex.org/W2093153344","https://openalex.org/W2109135012","https://openalex.org/W2111899702","https://openalex.org/W2115546586","https://openalex.org/W2119031011","https://openalex.org/W2121027212","https://openalex.org/W2124397839","https://openalex.org/W2138406903","https://openalex.org/W2141787596","https://openalex.org/W2153603270","https://openalex.org/W2157285372","https://openalex.org/W2168996682","https://openalex.org/W2170665590","https://openalex.org/W6639434097","https://openalex.org/W6648088351","https://openalex.org/W6680717076"],"related_works":["https://openalex.org/W1972035260","https://openalex.org/W3147584709","https://openalex.org/W4301594054","https://openalex.org/W2794488505","https://openalex.org/W3125889879","https://openalex.org/W2977677679","https://openalex.org/W3124422538","https://openalex.org/W2132337154","https://openalex.org/W2384651879","https://openalex.org/W2985118265"],"abstract_inverted_index":{"Fully":[0],"automatic":[1],"person":[2],"identification":[3,109],"in":[4,133],"TV":[5],"series":[6],"has":[7],"been":[8],"achieved":[9],"by":[10],"obtaining":[11],"weak":[12,39],"labels":[13],"from":[14,92],"subtitles":[15,28],"and":[16,36,57,89,129],"transcripts":[17],"[11].":[18],"In":[19],"this":[20],"paper,":[21],"we":[22,95],"revisit":[23],"the":[24,47,50,55,68,101,108],"problem":[25,69],"of":[26,46,52,70,87],"matching":[27],"with":[29],"face":[30,74,113,126],"tracks":[31,75,88],"to":[32,66,73,98,121],"obtain":[33],"more":[34,37,138],"assignments":[35],"accurate":[38],"labels.":[40],"We":[41,63,115],"perform":[42],"a":[43,77,118,124],"detailed":[44],"analysis":[45],"state-of-the-art":[48],"showing":[49],"types":[51],"errors":[53],"during":[54],"assignment":[56,103],"providing":[58],"insights":[59],"into":[60],"their":[61],"cause.":[62],"then":[64],"propose":[65,117],"model":[67],"assigning":[71],"names":[72],"as":[76],"joint":[78],"optimization":[79],"problem.":[80],"Using":[81],"negative":[82],"constraints":[83,91],"between":[84],"co-occurring":[85],"pairs":[86],"positive":[90],"track":[93],"threads,":[94],"are":[96],"able":[97],"significantly":[99],"improve":[100],"speaker":[102],"performance.":[104],"This":[105],"directly":[106],"influences":[107],"performance":[110,134],"on":[111],"all":[112],"tracks.":[114],"also":[116],"new":[119],"feature":[120],"determine":[122],"whether":[123],"tracked":[125],"is":[127],"speaking":[128],"show":[130],"further":[131],"improvements":[132],"while":[135],"being":[136],"computationally":[137],"efficient.":[139]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
