{"id":"https://openalex.org/W4402916560","doi":"https://doi.org/10.1109/icip51287.2024.10648029","title":"Agent-Guided Gaze Estimation Network by Two-Eye Asymmetry Exploration","display_name":"Agent-Guided Gaze Estimation Network by Two-Eye Asymmetry Exploration","publication_year":2024,"publication_date":"2024-09-27","ids":{"openalex":"https://openalex.org/W4402916560","doi":"https://doi.org/10.1109/icip51287.2024.10648029"},"language":"en","primary_location":{"id":"doi:10.1109/icip51287.2024.10648029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip51287.2024.10648029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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/A5102159687","display_name":"Yichen Shi","orcid":"https://orcid.org/0009-0001-9749-7855"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichen Shi","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School,Shenzhen,China,518055"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School,Shenzhen,China,518055","institution_ids":["https://openalex.org/I4210114105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100406141","display_name":"Feifei Zhang","orcid":"https://orcid.org/0000-0001-6346-5647"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feifei Zhang","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School,Shenzhen,China,518055"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School,Shenzhen,China,518055","institution_ids":["https://openalex.org/I4210114105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026184280","display_name":"Wenming Yang","orcid":"https://orcid.org/0000-0002-2506-1286"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenming Yang","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School,Shenzhen,China,518055"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School,Shenzhen,China,518055","institution_ids":["https://openalex.org/I4210114105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045183950","display_name":"Guijin Wang","orcid":"https://orcid.org/0000-0002-2131-3044"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guijin Wang","raw_affiliation_strings":["Shanghai Artificial Intelligence Laboratory,Shanghai,China,200232"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory,Shanghai,China,200232","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4391012619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101812290","display_name":"Nan Su","orcid":"https://orcid.org/0009-0008-5211-9472"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Su","raw_affiliation_strings":["Tsinghua University,Department of Electronics Engineering,Beijing,China,100084"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Electronics Engineering,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4556,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.82121896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2320","last_page":"2326"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.998199999332428,"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":0.998199999332428,"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/T10542","display_name":"Vestibular and auditory disorders","score":0.9369000196456909,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9294000267982483,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.740845263004303},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6832789182662964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5944852828979492},{"id":"https://openalex.org/keywords/asymmetry","display_name":"Asymmetry","score":0.5864173769950867},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5093913674354553},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4579000771045685},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.43981102108955383},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09222716093063354},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.051606684923172}],"concepts":[{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.740845263004303},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6832789182662964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5944852828979492},{"id":"https://openalex.org/C38976095","wikidata":"https://www.wikidata.org/wiki/Q752641","display_name":"Asymmetry","level":2,"score":0.5864173769950867},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5093913674354553},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4579000771045685},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.43981102108955383},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09222716093063354},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.051606684923172},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip51287.2024.10648029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip51287.2024.10648029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2027879843","https://openalex.org/W2042906110","https://openalex.org/W2557669140","https://openalex.org/W2765629358","https://openalex.org/W2805941539","https://openalex.org/W2895535699","https://openalex.org/W2897890508","https://openalex.org/W2904814274","https://openalex.org/W2921627265","https://openalex.org/W2939489045","https://openalex.org/W2963148766","https://openalex.org/W2963530216","https://openalex.org/W2965179346","https://openalex.org/W2982717194","https://openalex.org/W2986102820","https://openalex.org/W2994800813","https://openalex.org/W2998355285","https://openalex.org/W3013897564","https://openalex.org/W3041498386","https://openalex.org/W3090789868","https://openalex.org/W3163269234","https://openalex.org/W4221078550","https://openalex.org/W4229025337","https://openalex.org/W4288045821","https://openalex.org/W4292787489","https://openalex.org/W4312996499","https://openalex.org/W4319300355","https://openalex.org/W4383502378","https://openalex.org/W4395470955"],"related_works":["https://openalex.org/W1880689012","https://openalex.org/W3014378845","https://openalex.org/W4240909707","https://openalex.org/W2059546927","https://openalex.org/W3207760378","https://openalex.org/W4386072035","https://openalex.org/W1980563100","https://openalex.org/W2385108104","https://openalex.org/W2161294397","https://openalex.org/W2012644758"],"abstract_inverted_index":{"Gaze":[0,46],"estimation":[1,135],"is":[2],"an":[3],"important":[4],"task":[5,21,136],"in":[6],"understanding":[7],"human":[8],"visual":[9],"attention.":[10],"Despite":[11],"the":[12,20,61,65,87,96,104,116,123],"performance":[13,137],"gain":[14],"brought":[15],"by":[16],"recent":[17],"algorithm":[18],"development,":[19],"remains":[22],"challenging":[23],"due":[24],"to":[25,50,114,119],"two-eye":[26,57],"appearance":[27,62],"asymmetry":[28,63],"resulting":[29],"from":[30,92,109],"head":[31],"pose":[32],"variation":[33],"and":[34,53,64,75,89,106,141],"nonuniform":[35],"illumination.":[36],"In":[37],"this":[38],"paper,":[39],"we":[40,70],"propose":[41],"a":[42,72],"novel":[43],"architecture,":[44],"Agent-guided":[45],"Estimation":[47],"Network":[48],"(AGE-Net),":[49],"make":[51],"full":[52],"efficient":[54],"use":[55],"of":[56,86,103],"features.":[58],"By":[59],"exploring":[60],"consequent":[66],"feature":[67,125],"space":[68],"asymmetry,":[69],"devise":[71],"main":[73,81,117],"branch":[74,82,118],"two":[76],"agent":[77,97],"regression":[78,98],"tasks.":[79],"The":[80],"extracts":[83],"related":[84],"features":[85,102],"left":[88,105],"right":[90,107],"eyes":[91,108],"low-level":[93],"semantics.":[94],"Meanwhile,":[95],"tasks":[99],"extract":[100],"asymmetric":[101],"high-level":[110],"semantics,":[111],"so":[112],"as":[113],"guide":[115],"learn":[120],"more":[121],"about":[122],"eye":[124],"space.":[126],"Experiments":[127],"show":[128],"that":[129],"our":[130],"method":[131],"achieves":[132],"state-of-the-art":[133],"gaze":[134],"on":[138],"both":[139],"MPIIGaze":[140],"EyeDiap":[142],"datasets.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
