{"id":"https://openalex.org/W1998684786","doi":"https://doi.org/10.1109/icip.2014.7025674","title":"Joint estimation of head pose and visual focus of attention","display_name":"Joint estimation of head pose and visual focus of attention","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W1998684786","doi":"https://doi.org/10.1109/icip.2014.7025674","mag":"1998684786"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5085612987","display_name":"Yingning Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingning Huang","raw_affiliation_strings":["Key Lab. of Machine Perception (MoE), School of EECS","Peking University [Beijing]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab. of Machine Perception (MoE), School of EECS","institution_ids":[]},{"raw_affiliation_string":"Peking University [Beijing]","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074413520","display_name":"Dingrui Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingrui Duan","raw_affiliation_strings":["Key Lab. of Machine Perception (MoE), School of EECS","Peking University [Beijing]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab. of Machine Perception (MoE), School of EECS","institution_ids":[]},{"raw_affiliation_string":"Peking University [Beijing]","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113432906","display_name":"Jinshi Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinshi Cui","raw_affiliation_strings":["Key Lab. of Machine Perception (MoE), School of EECS","Peking University [Beijing]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab. of Machine Perception (MoE), School of EECS","institution_ids":[]},{"raw_affiliation_string":"Peking University [Beijing]","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082916959","display_name":"Franck Davoine","orcid":"https://orcid.org/0000-0002-8587-6997"},"institutions":[{"id":"https://openalex.org/I4210102957","display_name":"D\u00e9partement math\u00e9matiques, informatique, sciences de la donn\u00e9e et technologies du num\u00e9rique","ror":"https://ror.org/011emb038","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210088668","https://openalex.org/I4210102957"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Franck Davoine","raw_affiliation_strings":["CNRS LIAMA Sino-European Lab., Beijing","Laboratoire Franco-Chinois d'Informatique, d'Automatique et de Math\u00e9matiques Appliqu\u00e9es","Laboratoire d'Excellence \"Ma\u00eetrise des Syst\u00e8mes de Syst\u00e8mes Technologiques\""],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS LIAMA Sino-European Lab., Beijing","institution_ids":[]},{"raw_affiliation_string":"Laboratoire Franco-Chinois d'Informatique, d'Automatique et de Math\u00e9matiques Appliqu\u00e9es","institution_ids":["https://openalex.org/I4210102957"]},{"raw_affiliation_string":"Laboratoire d'Excellence \"Ma\u00eetrise des Syst\u00e8mes de Syst\u00e8mes Technologiques\"","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336156","display_name":"Li Wang","orcid":"https://orcid.org/0000-0003-0357-5056"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Wang","raw_affiliation_strings":["Psychology Department, Peking University, Beijing, China","Peking University [Beijing]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Psychology Department, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking University [Beijing]","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017031914","display_name":"Hongbin Zha","orcid":"https://orcid.org/0000-0001-5860-4673"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbin Zha","raw_affiliation_strings":["Key Lab. of Machine Perception (MoE), School of EECS","Peking University [Beijing]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab. of Machine Perception (MoE), School of EECS","institution_ids":[]},{"raw_affiliation_string":"Peking University [Beijing]","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2104,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.36461062,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"3332","last_page":"3336"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9986000061035156,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7992703914642334},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.7844913005828857},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7552475929260254},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.7495577931404114},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.747786283493042},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6519463062286377},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.6423976421356201},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5755863785743713},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5165230631828308},{"id":"https://openalex.org/keywords/articulated-body-pose-estimation","display_name":"Articulated body pose estimation","score":0.5012416839599609},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49366292357444763},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.4446474313735962},{"id":"https://openalex.org/keywords/joint-attention","display_name":"Joint attention","score":0.4425743818283081},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.3215765357017517},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.122372567653656},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08083468675613403},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06119471788406372}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7992703914642334},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.7844913005828857},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7552475929260254},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.7495577931404114},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.747786283493042},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6519463062286377},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.6423976421356201},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5755863785743713},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5165230631828308},{"id":"https://openalex.org/C22100474","wikidata":"https://www.wikidata.org/wiki/Q4800952","display_name":"Articulated body pose estimation","level":4,"score":0.5012416839599609},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49366292357444763},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.4446474313735962},{"id":"https://openalex.org/C137878579","wikidata":"https://www.wikidata.org/wiki/Q9636076","display_name":"Joint attention","level":3,"score":0.4425743818283081},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.3215765357017517},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.122372567653656},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08083468675613403},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06119471788406372},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C205778803","wikidata":"https://www.wikidata.org/wiki/Q38404","display_name":"Autism","level":2,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"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/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2014.7025674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01133436v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01133436","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1553272164","https://openalex.org/W1598707800","https://openalex.org/W1931059338","https://openalex.org/W1988072966","https://openalex.org/W2035560063","https://openalex.org/W2041577294","https://openalex.org/W2062281529","https://openalex.org/W2069259448","https://openalex.org/W2078088780","https://openalex.org/W2096294213","https://openalex.org/W2097369932","https://openalex.org/W2105889057","https://openalex.org/W2120455201","https://openalex.org/W2126413547","https://openalex.org/W2130298105","https://openalex.org/W2142727917","https://openalex.org/W2149382413","https://openalex.org/W2155775419","https://openalex.org/W2543314910","https://openalex.org/W2739698496","https://openalex.org/W4230991907","https://openalex.org/W6633235072","https://openalex.org/W6640475651","https://openalex.org/W6665836039","https://openalex.org/W6678680539","https://openalex.org/W6679370400","https://openalex.org/W6683233725","https://openalex.org/W6741565869"],"related_works":["https://openalex.org/W2113785214","https://openalex.org/W2946083937","https://openalex.org/W2798721181","https://openalex.org/W4299867837","https://openalex.org/W4386075737","https://openalex.org/W2951583186","https://openalex.org/W1974260915","https://openalex.org/W4382141741","https://openalex.org/W2088028039","https://openalex.org/W3165753266"],"abstract_inverted_index":{"Head":[0],"pose":[1,25,50,61],"is":[2,20,53,71],"an":[3],"important":[4],"indicator":[5],"of":[6,11,48,102,111],"a":[7,45,74,80],"person's":[8],"visual":[9,109],"focus":[10,110],"attention":[12,112],"(VFoA).":[13],"A":[14],"traditional":[15],"way":[16],"to":[17,21,55,107],"recognize":[18,108],"VFoA":[19,52,63],"consider":[22],"accurate":[23],"head":[24,49,60],"or":[26,37],"gaze":[27],"estimations.":[28],"However,":[29],"these":[30],"estimations":[31],"usually":[32],"degrade":[33],"drastically":[34],"in":[35,73,93,113],"middle":[36,114],"low":[38],"resolution":[39,115],"video":[40,116],"data.":[41],"In":[42],"this":[43,57],"paper,":[44],"joint":[46],"estimation":[47,105],"and":[51,62,89],"proposed":[54],"address":[56],"issue;":[58],"both":[59],"are":[64,87],"iteratively":[65],"refined":[66],"until":[67],"convergence.":[68],"This":[69],"approach":[70],"evaluated":[72],"specific":[75],"scenario":[76],"involving":[77],"children":[78],"around":[79],"table":[81],"playing":[82],"together":[83],"with":[84],"toys.":[85],"Datasets":[86],"acquired":[88],"annotated":[90],"by":[91],"psychologists":[92],"Peking":[94],"university.":[95],"The":[96],"experimental":[97],"results":[98],"demonstrate":[99],"the":[100,103],"usefulness":[101],"join":[104],"process":[106],"sequences.":[117]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}