{"id":"https://openalex.org/W4210773761","doi":"https://doi.org/10.1109/tii.2022.3143605","title":"ARHPE: Asymmetric Relation-Aware Representation Learning for Head Pose Estimation in Industrial Human\u2013Computer Interaction","display_name":"ARHPE: Asymmetric Relation-Aware Representation Learning for Head Pose Estimation in Industrial Human\u2013Computer Interaction","publication_year":2022,"publication_date":"2022-01-18","ids":{"openalex":"https://openalex.org/W4210773761","doi":"https://doi.org/10.1109/tii.2022.3143605"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2022.3143605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3143605","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","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/A5101820021","display_name":"Hai Liu","orcid":"https://orcid.org/0000-0003-3446-9301"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Liu","raw_affiliation_strings":["National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3446-9301","affiliations":[{"raw_affiliation_string":"National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100442033","display_name":"Tingting Liu","orcid":"https://orcid.org/0000-0002-9347-5974"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Liu","raw_affiliation_strings":["School of Education, Hubei University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-9347-5974","affiliations":[{"raw_affiliation_string":"School of Education, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020980410","display_name":"Zhaoli Zhang","orcid":"https://orcid.org/0000-0002-0844-0719"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoli Zhang","raw_affiliation_strings":["National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0844-0719","affiliations":[{"raw_affiliation_string":"National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072241102","display_name":"Arun Kumar Sangaiah","orcid":"https://orcid.org/0000-0002-0229-2460"},"institutions":[{"id":"https://openalex.org/I75357094","display_name":"National Yunlin University of Science and Technology","ror":"https://ror.org/04qkq2m54","country_code":"TW","type":"education","lineage":["https://openalex.org/I75357094"]},{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN","TW"],"is_corresponding":false,"raw_author_name":"Arun Kumar Sangaiah","raw_affiliation_strings":["School of Computing Science and Engineering, Vellore Institute of Technology, Vellore, India","Department of Industrial Engineering and Management, National Yunlin University of Science and Technology, Douliu, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-0229-2460","affiliations":[{"raw_affiliation_string":"School of Computing Science and Engineering, Vellore Institute of Technology, Vellore, India","institution_ids":["https://openalex.org/I876193797"]},{"raw_affiliation_string":"Department of Industrial Engineering and Management, National Yunlin University of Science and Technology, Douliu, Taiwan","institution_ids":["https://openalex.org/I75357094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101408136","display_name":"Bing Yang","orcid":"https://orcid.org/0000-0003-1234-2916"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Yang","raw_affiliation_strings":["School of Education, Hubei University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Education, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100642147","display_name":"Youfu Li","orcid":"https://orcid.org/0000-0002-5227-1326"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I4210105229","display_name":"City University of Hong Kong, Shenzhen Research Institute","ror":"https://ror.org/00xc0ma20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105229"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Youfu Li","raw_affiliation_strings":["Department of Mechanical Engineering, City University of Hong Kong, Kowloon, Hong Kong","City University of Hong Kong Shenzhen Research Institute, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-5227-1326","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, City University of Hong Kong, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"City University of Hong Kong Shenzhen Research Institute, Shenzhen, China","institution_ids":["https://openalex.org/I168719708","https://openalex.org/I4210105229"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":21.4661,"has_fulltext":false,"cited_by_count":284,"citation_normalized_percentile":{"value":0.99743492,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"18","issue":"10","first_page":"7107","last_page":"7117"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9980999827384949,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9980999827384949,"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/T11448","display_name":"Face recognition and analysis","score":0.9976999759674072,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/discriminative-model","display_name":"Discriminative model","score":0.834363579750061},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7092030644416809},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.6716870069503784},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6606801152229309},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.657789409160614},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5062088370323181},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4594254493713379},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.43013590574264526},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42228198051452637},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4088948369026184},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32615742087364197},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.20151016116142273}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.834363579750061},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7092030644416809},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.6716870069503784},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6606801152229309},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.657789409160614},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5062088370323181},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4594254493713379},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.43013590574264526},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42228198051452637},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4088948369026184},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32615742087364197},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.20151016116142273},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2022.3143605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3143605","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5699999928474426,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G3430789454","display_name":null,"funder_award_id":"62005092","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G400862627","display_name":null,"funder_award_id":"61875068","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5135579291","display_name":null,"funder_award_id":"62177018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6221147","display_name":null,"funder_award_id":"62173286","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6969821397","display_name":null,"funder_award_id":"62077020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7215588895","display_name":null,"funder_award_id":"62011530436","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1549083695","https://openalex.org/W1652473059","https://openalex.org/W1966661057","https://openalex.org/W1982214249","https://openalex.org/W2012885984","https://openalex.org/W2018326367","https://openalex.org/W2022566595","https://openalex.org/W2066454034","https://openalex.org/W2096027770","https://openalex.org/W2097369932","https://openalex.org/W2105368578","https://openalex.org/W2142578527","https://openalex.org/W2149382413","https://openalex.org/W2168700663","https://openalex.org/W2330274280","https://openalex.org/W2330485005","https://openalex.org/W2345094839","https://openalex.org/W2589255576","https://openalex.org/W2601789736","https://openalex.org/W2621061298","https://openalex.org/W2777921302","https://openalex.org/W2789532873","https://openalex.org/W2799608944","https://openalex.org/W2922023437","https://openalex.org/W2923153064","https://openalex.org/W2943055205","https://openalex.org/W2953265847","https://openalex.org/W2957744218","https://openalex.org/W2963377935","https://openalex.org/W2963644257","https://openalex.org/W2964320807","https://openalex.org/W2970736947","https://openalex.org/W2982101758","https://openalex.org/W2997051618","https://openalex.org/W3009004640","https://openalex.org/W3015671815","https://openalex.org/W3112693297","https://openalex.org/W3117658046","https://openalex.org/W3131309013","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W3208297503","https://openalex.org/W3119773509","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W4388405611","https://openalex.org/W2619127353"],"abstract_inverted_index":{"Head":[0],"pose":[1,51,72,175],"estimation":[2],"(HPE)":[3],"has":[4],"wide":[5],"industrial":[6],"applications,":[7],"such":[8],"as":[9,80,97],"online":[10],"education,":[11],"human\u2013robot":[12],"interaction,":[13],"and":[14,31,48,57,139,188],"automatic":[15],"manufacturing.":[16],"In":[17],"this":[18],"article,":[19],"we":[20,102,127],"address":[21,123],"two":[22,185],"key":[23],"problems":[24],"in":[25,53,177],"HPE":[26,55,134],"based":[27],"on":[28,184],"label":[29,50,180],"learning":[30,118],"asymmetric":[32,130,168],"relation":[33,131,169],"cues:":[34],"1)":[35],"how":[36,59],"to":[37,60,85,114],"bridge":[38],"the":[39,42,54,65,70,77,87,94,106,124,129,148,153,158,162,167,173,178,194],"gap":[40],"between":[41],"better":[43],"prediction":[44],"performance":[45],"of":[46,64,91,105,133,152],"networks":[47],"incorrectly":[49],"images":[52],"datasets":[56,187],"2)":[58],"take":[61],"full":[62],"advantage":[63],"adjacent":[66,115],"poses":[67],"information":[68],"around":[69],"centered":[71],"image.":[73],"We":[74],"reconstruct":[75],"all":[76],"incorrect":[78,179],"labels":[79,116],"a":[81],"two-dimensional":[82],"Lorentz":[83,154],"distribution":[84],"tackle":[86],"first":[88],"problem.":[89],"Instead":[90],"directly":[92],"adopting":[93],"angle":[95,176],"values":[96,108],"<italic":[98,110],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[99,111],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">hard</i>":[100],"labels,":[101],"assign":[103],"part":[104],"probability":[107],"(":[109],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">soft</i>":[112],"labels)":[113],"for":[117,171],"discriminative":[119],"feature":[120],"representations.":[121],"To":[122],"second":[125],"problem,":[126],"reveal":[128],"nature":[132],"datasets.":[135],"The":[136],"yaw":[137],"direction":[138,141],"pitch":[140],"are":[142],"assigned":[143],"different":[144],"weights":[145],"by":[146],"introducing":[147],"half":[149],"at":[150],"half-maximum":[151],"distribution.":[155],"Compared":[156],"with":[157],"traditional":[159],"end-to-end":[160],"frameworks,":[161],"proposed":[163,195],"one":[164],"can":[165],"leverage":[166],"cues":[170],"predicting":[172],"head":[174],"scenarios.":[181],"Extensive":[182],"experiments":[183],"public":[186],"our":[189],"infrared":[190],"dataset":[191],"demonstrate":[192],"that":[193],"ARHPE":[196],"network":[197],"significantly":[198],"outperforms":[199],"other":[200],"state-of-the-art":[201],"approaches.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":18},{"year":2025,"cited_by_count":83},{"year":2024,"cited_by_count":58},{"year":2023,"cited_by_count":80},{"year":2022,"cited_by_count":44},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
