{"id":"https://openalex.org/W2588367409","doi":"https://doi.org/10.1109/fg.2017.107","title":"FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge","display_name":"FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2588367409","doi":"https://doi.org/10.1109/fg.2017.107","mag":"2588367409","pmid":"https://pubmed.ncbi.nlm.nih.gov/29606917"},"language":"en","primary_location":{"id":"doi:10.1109/fg.2017.107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg.2017.107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","pubmed"],"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/A5089151131","display_name":"Michel Valstar","orcid":"https://orcid.org/0000-0003-2414-161X"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Michel F. Valstar","raw_affiliation_strings":["School of Computer Science, University of Nottingham, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham, UK","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101700522","display_name":"Enrique S\u00e1nchez","orcid":"https://orcid.org/0000-0003-0196-922X"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Enrique Sanchez-Lozano","raw_affiliation_strings":["School of Computer Science, University of Nottingham, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham, UK","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000246394","display_name":"Jeffrey F. Cohn","orcid":"https://orcid.org/0000-0002-9393-1116"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey F. Cohn","raw_affiliation_strings":["Department of Psychology, University of Pittsburgh, Pittsburgh, USA","Robotics Institute, Carnegie Mellon University, Pittsburgh, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychology, University of Pittsburgh, Pittsburgh, USA","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045790971","display_name":"L\u00e1szl\u00f3 A. Jeni","orcid":"https://orcid.org/0000-0002-2830-700X"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Laszlo A. Jeni","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University, Pittsburgh, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078452888","display_name":"Jeffrey M. Girard","orcid":"https://orcid.org/0000-0002-7359-3746"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey M. Girard","raw_affiliation_strings":["Department of Psychology, University of Pittsburgh, Pittsburgh, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychology, University of Pittsburgh, Pittsburgh, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459168","display_name":"Zheng Zhang","orcid":"https://orcid.org/0000-0003-1470-6998"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zheng Zhang","raw_affiliation_strings":["Department of Computer Science, Binghamton University, Binghamton, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Binghamton University, Binghamton, USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100411653","display_name":"Lijun Yin","orcid":"https://orcid.org/0000-0002-0343-7190"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lijun Yin","raw_affiliation_strings":["Department of Computer Science, Binghamton University, Binghamton, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Binghamton University, Binghamton, USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016033078","display_name":"Maja Panti\u0107","orcid":"https://orcid.org/0000-0002-3620-5986"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]},{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["GB","NL"],"is_corresponding":false,"raw_author_name":"Maja Pantic","raw_affiliation_strings":["Department of Computing, Imperial College London, London, UK","Electrical Engineering, Mathematics and Computer Science, University of Twente, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Electrical Engineering, Mathematics and Computer Science, University of Twente, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":21.1002,"has_fulltext":false,"cited_by_count":118,"citation_normalized_percentile":{"value":0.99552739,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"2017","issue":null,"first_page":"839","last_page":"847"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9994999766349792,"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":0.9991000294685364,"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":0.7853971719741821},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.7820243835449219},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.7640169858932495},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6277972459793091},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5618076920509338},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4955981969833374},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.48033347725868225},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4786982834339142},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.46495354175567627},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.4649089276790619},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.4594830274581909},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.43163424730300903},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4158601760864258},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.4157647490501404},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4081210494041443}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7853971719741821},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.7820243835449219},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.7640169858932495},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6277972459793091},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5618076920509338},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4955981969833374},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.48033347725868225},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4786982834339142},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.46495354175567627},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.4649089276790619},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.4594830274581909},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.43163424730300903},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4158601760864258},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.4157647490501404},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4081210494041443},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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":4,"locations":[{"id":"doi:10.1109/fg.2017.107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg.2017.107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)","raw_type":"proceedings-article"},{"id":"pmid:29606917","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29606917","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ... International Conference on Automatic Face and Gesture Recognition. IEEE International Conference on Automatic Face & Gesture Recognition","raw_type":null},{"id":"pmh:oai:europepmc.org:4779535","is_oa":false,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5876027","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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"},{"id":"pmh:oai:spiral.imperial.ac.uk:10044/1/55086","is_oa":false,"landing_page_url":"http://hdl.handle.net/10044/1/55086","pdf_url":null,"source":{"id":"https://openalex.org/S4306401396","display_name":"Spiral (Imperial College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I47508984","host_organization_name":"Imperial College London","host_organization_lineage":["https://openalex.org/I47508984"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"12th IEEE International Conference on Automatic Face and Gesture Recognition (FG)","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1133040973","display_name":null,"funder_award_id":"R01 MH096951","funder_id":"https://openalex.org/F4320337346","funder_display_name":"National Institute of Mental Health"}],"funders":[{"id":"https://openalex.org/F4320337346","display_name":"National Institute of Mental Health","ror":"https://ror.org/04xeg9z08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W46659105","https://openalex.org/W1491036874","https://openalex.org/W1566413196","https://openalex.org/W1588539311","https://openalex.org/W1655469623","https://openalex.org/W1994738089","https://openalex.org/W2006217447","https://openalex.org/W2011723974","https://openalex.org/W2015212590","https://openalex.org/W2017405810","https://openalex.org/W2045472600","https://openalex.org/W2046604164","https://openalex.org/W2051297709","https://openalex.org/W2064784578","https://openalex.org/W2083261637","https://openalex.org/W2098615198","https://openalex.org/W2101545465","https://openalex.org/W2129106196","https://openalex.org/W2132723029","https://openalex.org/W2136022343","https://openalex.org/W2141403362","https://openalex.org/W2147880316","https://openalex.org/W2155841434","https://openalex.org/W2156503193","https://openalex.org/W2159668072","https://openalex.org/W2161117158","https://openalex.org/W2167015621","https://openalex.org/W2170960656","https://openalex.org/W2213713716","https://openalex.org/W2251810906","https://openalex.org/W2280620570","https://openalex.org/W2345305417","https://openalex.org/W2399512112","https://openalex.org/W2470957930","https://openalex.org/W2506426544","https://openalex.org/W2583837639","https://openalex.org/W2737559518","https://openalex.org/W2912990735","https://openalex.org/W3048844620","https://openalex.org/W4234180827","https://openalex.org/W6602002561","https://openalex.org/W6635087628","https://openalex.org/W6662025603","https://openalex.org/W6675286651","https://openalex.org/W6682082992","https://openalex.org/W6712494961"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2000169967","https://openalex.org/W4206297952"],"abstract_inverted_index":{"The":[0,66,86],"field":[1],"of":[2,57,75,103,124,154,160,177],"Automatic":[3],"Facial":[4,89],"Expression":[5,90],"Analysis":[6,93],"has":[7],"grown":[8],"rapidly":[9],"in":[10,16,53,121,130,144],"recent":[11],"years.":[12],"However,":[13],"despite":[14],"progress":[15],"new":[17],"approaches":[18,46],"as":[19,21],"well":[20],"benchmarking":[22],"efforts,":[23],"most":[24],"evaluations":[25],"still":[26],"focus":[27],"on":[28,137],"either":[29],"posed":[30],"expressions,":[31,126],"near-frontal":[32],"recordings,":[33],"or":[34],"both.":[35],"This":[36],"makes":[37],"it":[38],"hard":[39],"to":[40,100,127],"tell":[41],"how":[42],"existing":[43],"expression":[44],"recognition":[45,123],"perform":[47],"under":[48,109],"conditions":[49],"where":[50],"faces":[51],"appear":[52],"a":[54,178],"wide":[55],"range":[56],"poses":[58],"(or":[59],"camera":[60,111],"views),":[61],"displaying":[62],"ecologically":[63],"valid":[64],"expressions.":[65],"main":[67],"obstacle":[68],"for":[69,181],"assessing":[70],"this":[71,84,114,164],"is":[72],"the":[73,79,101,118,133,152,158,168,171,175],"availability":[74],"suitable":[76],"data,":[77],"and":[78,92,107,139,157,174],"challenge":[80,94,120],"proposed":[81],"here":[82],"addresses":[83],"limitation.":[85],"FG":[87],"2017":[88],"Recognition":[91],"(FERA":[95],"2017)":[96],"extends":[97],"FERA":[98],"2015":[99],"estimation":[102,159],"Action":[104],"Units":[105],"occurrence":[106],"intensity":[108],"different":[110],"views.":[112],"In":[113,163],"paper":[115],"we":[116,166],"present":[117],"third":[119],"automatic":[122],"facial":[125],"be":[128],"held":[129],"conjunction":[131],"with":[132],"12th":[134],"IEEE":[135],"conference":[136],"Face":[138],"Gesture":[140],"Recognition,":[141],"May":[142],"2017,":[143],"Washington,":[145],"United":[146],"States.":[147],"Two":[148],"sub-challenges":[149],"are":[150],"defined:":[151],"detection":[153],"AU":[155,161],"occurrence,":[156],"intensity.":[162],"work":[165],"outline":[167],"evaluation":[169],"protocol,":[170],"data":[172],"used,":[173],"results":[176],"baseline":[179],"method":[180],"both":[182],"sub-challenges.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":28},{"year":2018,"cited_by_count":18},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}