{"id":"https://openalex.org/W1892323599","doi":"https://doi.org/10.1109/cvpr.2015.7299113","title":"Beyond frontal faces: Improving Person Recognition using multiple cues","display_name":"Beyond frontal faces: Improving Person Recognition using multiple cues","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1892323599","doi":"https://doi.org/10.1109/cvpr.2015.7299113","mag":"1892323599"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7299113","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7299113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"type":"preprint","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/A5100404866","display_name":"Ning Zhang","orcid":"https://orcid.org/0000-0002-4569-0397"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]},{"id":"https://openalex.org/I134446601","display_name":"Berkeley College","ror":"https://ror.org/02xewxa75","country_code":"US","type":"education","lineage":["https://openalex.org/I134446601"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ning Zhang","raw_affiliation_strings":["UC Berkeley","UC Berkeley, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"UC Berkeley","institution_ids":["https://openalex.org/I134446601","https://openalex.org/I95457486"]},{"raw_affiliation_string":"UC Berkeley, USA#TAB#","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054437548","display_name":"Manohar Paluri","orcid":null},"institutions":[{"id":"https://openalex.org/I2252078561","display_name":"Meta (Israel)","ror":"https://ror.org/02388em19","country_code":"IL","type":"company","lineage":["https://openalex.org/I2252078561","https://openalex.org/I4210114444"]},{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["IL","US"],"is_corresponding":false,"raw_author_name":"Manohar Paluri","raw_affiliation_strings":["Facebook AI Research","Facebook AI Research, USA"],"affiliations":[{"raw_affiliation_string":"Facebook AI Research","institution_ids":["https://openalex.org/I2252078561"]},{"raw_affiliation_string":"Facebook AI Research, USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070563684","display_name":"Yaniv Taigman","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]},{"id":"https://openalex.org/I2252078561","display_name":"Meta (Israel)","ror":"https://ror.org/02388em19","country_code":"IL","type":"company","lineage":["https://openalex.org/I2252078561","https://openalex.org/I4210114444"]}],"countries":["IL","US"],"is_corresponding":false,"raw_author_name":"Yaniv Taigman","raw_affiliation_strings":["Facebook AI Research","Facebook AI Research, USA"],"affiliations":[{"raw_affiliation_string":"Facebook AI Research","institution_ids":["https://openalex.org/I2252078561"]},{"raw_affiliation_string":"Facebook AI Research, USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089960673","display_name":"Rob Fergus","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rob Fergus","raw_affiliation_strings":["Facebook AI Research, USA"],"affiliations":[{"raw_affiliation_string":"Facebook AI Research, USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044186270","display_name":"Lubomir Bourdev","orcid":null},"institutions":[{"id":"https://openalex.org/I2252078561","display_name":"Meta (Israel)","ror":"https://ror.org/02388em19","country_code":"IL","type":"company","lineage":["https://openalex.org/I2252078561","https://openalex.org/I4210114444"]},{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["IL","US"],"is_corresponding":false,"raw_author_name":"Lubomir Bourdev","raw_affiliation_strings":["Facebook AI Research","Facebook AI Research, USA"],"affiliations":[{"raw_affiliation_string":"Facebook AI Research","institution_ids":["https://openalex.org/I2252078561"]},{"raw_affiliation_string":"Facebook AI Research, USA","institution_ids":["https://openalex.org/I4210114444"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100404866"],"corresponding_institution_ids":["https://openalex.org/I134446601","https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":8.7975,"has_fulltext":false,"cited_by_count":148,"citation_normalized_percentile":{"value":0.98514128,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"4804","last_page":"4813"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987000226974487,"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/T10057","display_name":"Face and Expression Recognition","score":0.9890000224113464,"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":0.7950270771980286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.779493510723114},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.638229489326477},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6345709562301636},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6342834234237671},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5899477601051331},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5261097550392151},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4927807152271271},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4801327884197235},{"id":"https://openalex.org/keywords/clothing","display_name":"Clothing","score":0.4345913529396057},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4102785587310791},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08904609084129333}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7950270771980286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.779493510723114},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.638229489326477},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6345709562301636},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6342834234237671},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5899477601051331},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5261097550392151},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4927807152271271},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4801327884197235},{"id":"https://openalex.org/C530175646","wikidata":"https://www.wikidata.org/wiki/Q11460","display_name":"Clothing","level":2,"score":0.4345913529396057},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4102785587310791},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08904609084129333},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2015.7299113","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7299113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.713.6201","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.713.6201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.eecs.berkeley.edu/%7Enzhang/papers/piper_camera_ready.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.855.5907","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.855.5907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhang_Beyond_Frontal_Faces_2015_CVPR_paper.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W41482161","https://openalex.org/W1518138188","https://openalex.org/W1602182271","https://openalex.org/W1686810756","https://openalex.org/W1745797027","https://openalex.org/W1782590233","https://openalex.org/W1963589611","https://openalex.org/W1967988963","https://openalex.org/W1979260620","https://openalex.org/W1982925187","https://openalex.org/W2031623949","https://openalex.org/W2046835352","https://openalex.org/W2055251102","https://openalex.org/W2070166912","https://openalex.org/W2079972027","https://openalex.org/W2080027017","https://openalex.org/W2093153344","https://openalex.org/W2097117768","https://openalex.org/W2098807270","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2109824782","https://openalex.org/W2114740362","https://openalex.org/W2117060632","https://openalex.org/W2121027212","https://openalex.org/W2128560777","https://openalex.org/W2129812935","https://openalex.org/W2135964285","https://openalex.org/W2138451337","https://openalex.org/W2138761194","https://openalex.org/W2145287260","https://openalex.org/W2147414309","https://openalex.org/W2147800946","https://openalex.org/W2150733552","https://openalex.org/W2155541015","https://openalex.org/W2156001867","https://openalex.org/W2163605009","https://openalex.org/W2168996682","https://openalex.org/W2535410496","https://openalex.org/W4239072543","https://openalex.org/W4294375521","https://openalex.org/W6601733005","https://openalex.org/W6631178364","https://openalex.org/W6636160605","https://openalex.org/W6637373629","https://openalex.org/W6637584756","https://openalex.org/W6642222135","https://openalex.org/W6646071477","https://openalex.org/W6662292890","https://openalex.org/W6674809736","https://openalex.org/W6674914833","https://openalex.org/W6676297131","https://openalex.org/W6677587182","https://openalex.org/W6681342084","https://openalex.org/W6681853784","https://openalex.org/W6682778277","https://openalex.org/W6683218591","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2738456166","https://openalex.org/W2352745894","https://openalex.org/W2057731951","https://openalex.org/W2358836583","https://openalex.org/W2064629212","https://openalex.org/W2387983088","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983"],"abstract_inverted_index":{"We":[0,74],"explore":[1],"the":[2,20,47,54,62,76,85,99,126,134,141],"task":[3,56],"of":[4,29,33,46,87,128,133],"recognizing":[5],"peoples'":[6],"identities":[7],"in":[8,11,65,118],"photo":[9,40],"albums":[10],"an":[12],"unconstrained":[13,120],"setting.":[14],"To":[15],"facilitate":[16],"this,":[17],"we":[18],"introduce":[19],"new":[21],"People":[22],"In":[23],"Photo":[24],"Albums":[25],"(PIPA)":[26],"dataset,":[27],"consisting":[28],"over":[30],"60000":[31],"instances":[32],"\u223c2000":[34],"individuals":[35],"collected":[36],"from":[37],"public":[38],"Flickr":[39],"albums.":[41],"With":[42],"only":[43],"about":[44],"half":[45],"person":[48,89],"images":[49],"containing":[50],"a":[51,104,108],"frontal":[52],"face,":[53],"recognition":[55],"is":[57,131],"very":[58],"challenging":[59],"due":[60],"to":[61,96],"large":[63],"variations":[64],"pose,":[66],"clothing,":[67],"camera":[68],"viewpoint,":[69],"image":[70],"resolution":[71],"and":[72,107],"illumination.":[73],"propose":[75],"Pose":[77],"Invariant":[78],"PErson":[79],"Recognition":[80],"(PIPER)":[81],"method,":[82],"which":[83,130],"accumulates":[84],"cues":[86],"poselet-level":[88],"recognizers":[90,137],"trained":[91],"by":[92],"deep":[93],"convolutional":[94],"networks":[95],"discount":[97],"for":[98],"pose":[100],"variations,":[101],"combined":[102],"with":[103],"face":[105,136],"recognizer":[106],"global":[109],"recognizer.":[110],"Experiments":[111],"on":[112,125,140],"three":[113],"different":[114],"settings":[115],"confirm":[116],"that":[117],"our":[119],"setup":[121],"PIPER":[122],"significantly":[123],"improves":[124],"performance":[127],"DeepFace,":[129],"one":[132],"best":[135],"as":[138],"measured":[139],"LFW":[142],"dataset.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":27},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":18},{"year":2017,"cited_by_count":14},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
