{"id":"https://openalex.org/W4387969606","doi":"https://doi.org/10.1145/3581783.3611942","title":"Personalized Image Aesthetics Assessment with Attribute-guided Fine-grained Feature Representation","display_name":"Personalized Image Aesthetics Assessment with Attribute-guided Fine-grained Feature Representation","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387969606","doi":"https://doi.org/10.1145/3581783.3611942"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3611942","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3611942","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-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/A5033904998","display_name":"Hancheng Zhu","orcid":"https://orcid.org/0000-0002-5418-9879"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hancheng Zhu","raw_affiliation_strings":["China University of Mining Technology, Xuzhou, China"],"affiliations":[{"raw_affiliation_string":"China University of Mining Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081933126","display_name":"Zhiwen Shao","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwen Shao","raw_affiliation_strings":["China University of Mining Technology, Xuzhou, China"],"affiliations":[{"raw_affiliation_string":"China University of Mining Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025079159","display_name":"Yong Zhou","orcid":"https://orcid.org/0000-0001-6207-0299"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhou","raw_affiliation_strings":["China University of Mining Technology, Xuzhou, China"],"affiliations":[{"raw_affiliation_string":"China University of Mining Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103253679","display_name":"Guangcheng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangcheng Wang","raw_affiliation_strings":["Nantong University, Nantong, China"],"affiliations":[{"raw_affiliation_string":"Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063520709","display_name":"Pengfei Chen","orcid":"https://orcid.org/0000-0002-0509-3782"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Chen","raw_affiliation_strings":["Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033615240","display_name":"Leida Li","orcid":"https://orcid.org/0000-0001-9069-8796"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leida Li","raw_affiliation_strings":["Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5033904998"],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":null,"apc_paid":null,"fwci":1.7795,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.87418938,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"6794","last_page":"6802"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11605","display_name":"Visual Attention and Saliency Detection","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/T11165","display_name":"Image and Video Quality Assessment","score":0.9959999918937683,"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/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7879639863967896},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5813230276107788},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5784651637077332},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5111764073371887},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4249730706214905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39124104380607605},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3853405714035034}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7879639863967896},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5813230276107788},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5784651637077332},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5111764073371887},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4249730706214905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39124104380607605},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3853405714035034},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3611942","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3611942","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1218582835","display_name":null,"funder_award_id":"2023M732223","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1862123569","display_name":null,"funder_award_id":"BK20210488","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G2030376154","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G2082826544","display_name":null,"funder_award_id":"Postdoctoral","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G253016989","display_name":null,"funder_award_id":"62106268","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3537633596","display_name":null,"funder_award_id":"202104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G383479243","display_name":null,"funder_award_id":"BK20201346","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G3910829908","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4450908433","display_name":null,"funder_award_id":"BK2021","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G5030940285","display_name":null,"funder_award_id":"2023M","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6157720716","display_name":null,"funder_award_id":"62101555","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6461829773","display_name":null,"funder_award_id":"202013","funder_id":"https://openalex.org/F4320321605","funder_display_name":"Government of Jiangsu Province"},{"id":"https://openalex.org/G6468169989","display_name":null,"funder_award_id":"62171340","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6841731650","display_name":null,"funder_award_id":"62272461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7572372161","display_name":null,"funder_award_id":"BK20210488 and BK20201346","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G8019139419","display_name":null,"funder_award_id":"BK2021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8195961832","display_name":null,"funder_award_id":"62101555, 62106268, 62272461, and 62171340","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1896080482","https://openalex.org/W2056380823","https://openalex.org/W2063948594","https://openalex.org/W2078807908","https://openalex.org/W2194775991","https://openalex.org/W2243549423","https://openalex.org/W2295107390","https://openalex.org/W2514622527","https://openalex.org/W2529088810","https://openalex.org/W2754213847","https://openalex.org/W2798503473","https://openalex.org/W2806817979","https://openalex.org/W2808420718","https://openalex.org/W2896399498","https://openalex.org/W2904572228","https://openalex.org/W2944041622","https://openalex.org/W2951597862","https://openalex.org/W2963204629","https://openalex.org/W2963722311","https://openalex.org/W2970253846","https://openalex.org/W2981548364","https://openalex.org/W3003957020","https://openalex.org/W3006871679","https://openalex.org/W3022703598","https://openalex.org/W3034776788","https://openalex.org/W3092788954","https://openalex.org/W3093185587","https://openalex.org/W3098401216","https://openalex.org/W3103635814","https://openalex.org/W3121625413","https://openalex.org/W3171472210","https://openalex.org/W3186050100","https://openalex.org/W3208678646","https://openalex.org/W3216672656","https://openalex.org/W4214700015","https://openalex.org/W4280563717","https://openalex.org/W4281846337","https://openalex.org/W4285216607","https://openalex.org/W4285606417","https://openalex.org/W4285787548","https://openalex.org/W4304142045","https://openalex.org/W4308872605","https://openalex.org/W4310983618","https://openalex.org/W4312353506"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W3147584709","https://openalex.org/W2795079307","https://openalex.org/W2977677679","https://openalex.org/W2793058541","https://openalex.org/W1983629434","https://openalex.org/W1992327129","https://openalex.org/W2381986121","https://openalex.org/W2370918718","https://openalex.org/W2055929693"],"abstract_inverted_index":{"Personalized":[0],"image":[1,62,101,177],"aesthetics":[2,63,162,211],"assessment":[3,64],"(PIAA)":[4],"has":[5],"gained":[6],"increasing":[7],"attention":[8],"from":[9,72],"researchers":[10],"due":[11],"to":[12,15,34,75,94,103,114,125,146,158],"its":[13],"ability":[14],"measure":[16],"individual":[17,151,164],"users'":[18,36,77,134,173,209],"specific":[19],"aesthetic":[20,37,78,138,178],"experiences.":[21],"However,":[22],"most":[23,141],"existing":[24,201],"PIAA":[25,135,194,203],"methods":[26],"rely":[27],"on":[28,192],"holistic":[29,106],"features":[30,48,71,99,124],"or":[31],"simplistic":[32],"coding":[33],"characterize":[35],"preferences":[38,79],"for":[39,80,105],"images,":[40],"and":[41,176,205],"we":[42,55,85,166],"believe":[43],"that":[44,197],"more":[45,160],"rich":[46],"explicit":[47],"are":[49,119],"needed":[50],"in":[51,183],"modeling":[52],"PIAA.":[53],"Consequently,":[54],"propose":[56],"an":[57],"attribute-guided":[58],"fine-grained":[59,70,89,128],"feature-aware":[60],"personalized":[61,148,174,210],"method,":[65],"which":[66,118],"can":[67,143,206],"fully":[68],"capture":[69],"multiple":[73],"attributes":[74,102],"represent":[76],"images.":[81,213],"To":[82,153],"achieve":[83],"this,":[84],"first":[86],"build":[87],"a":[88,181],"feature":[90,129],"extraction":[91],"(FFE)":[92],"module":[93,110],"obtain":[95,126],"the":[96,122,137,147,168,184],"refined":[97],"local":[98],"of":[100,140,150,170,212],"compensate":[104],"features.":[107],"The":[108],"FFE":[109],"is":[111],"then":[112],"used":[113],"generate":[115],"user-level":[116],"features,":[117],"combined":[120],"with":[121],"image-level":[123],"user-preferred":[127],"representations.":[130],"By":[131],"training":[132],"extensive":[133],"tasks,":[136],"distribution":[139,179],"users":[142],"be":[144],"transferred":[145],"scores":[149,175],"users.":[152],"enable":[154],"our":[155,198],"proposed":[156],"model":[157,188],"learn":[159],"generalizable":[161],"among":[163],"users,":[165],"incorporate":[167],"degree":[169],"dispersion":[171],"between":[172],"as":[180],"coefficient":[182],"loss":[185],"function":[186],"during":[187],"training.":[189],"Experimental":[190],"results":[191],"several":[193],"databases":[195],"show":[196],"method":[199],"outperforms":[200],"mainstream":[202],"methods,":[204],"effectively":[207],"infer":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}