{"id":"https://openalex.org/W4402352886","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651383","title":"Eyes Attribute Editing Assisted by Dual-Coordinate System and Multi-Probability Fusion Prediction","display_name":"Eyes Attribute Editing Assisted by Dual-Coordinate System and Multi-Probability Fusion Prediction","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402352886","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651383"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10651383","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10651383","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5051764382","display_name":"Zheyi Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153482","display_name":"Changzhou University","ror":"https://ror.org/04ymgwq66","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153482"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zheyi Sun","raw_affiliation_strings":["Changzhou University,School of Computer Science and Artificial Intelligence,Changzhou,China"],"affiliations":[{"raw_affiliation_string":"Changzhou University,School of Computer Science and Artificial Intelligence,Changzhou,China","institution_ids":["https://openalex.org/I4210153482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100458871","display_name":"Hao Liu","orcid":"https://orcid.org/0000-0003-0860-0396"},"institutions":[{"id":"https://openalex.org/I4210153482","display_name":"Changzhou University","ror":"https://ror.org/04ymgwq66","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153482"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Liu","raw_affiliation_strings":["Changzhou University,School of Computer Science and Artificial Intelligence,Changzhou,China"],"affiliations":[{"raw_affiliation_string":"Changzhou University,School of Computer Science and Artificial Intelligence,Changzhou,China","institution_ids":["https://openalex.org/I4210153482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042769071","display_name":"Jiuzhen Liang","orcid":"https://orcid.org/0000-0003-3511-3374"},"institutions":[{"id":"https://openalex.org/I4210153482","display_name":"Changzhou University","ror":"https://ror.org/04ymgwq66","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153482"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiuzhen Liang","raw_affiliation_strings":["Changzhou University,School of Computer Science and Artificial Intelligence,Changzhou,China"],"affiliations":[{"raw_affiliation_string":"Changzhou University,School of Computer Science and Artificial Intelligence,Changzhou,China","institution_ids":["https://openalex.org/I4210153482"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051764382"],"corresponding_institution_ids":["https://openalex.org/I4210153482"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14653347,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983000159263611,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983000159263611,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9944999814033508,"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/dual","display_name":"Dual (grammatical number)","score":0.7233909368515015},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7210612297058105},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5917045474052429},{"id":"https://openalex.org/keywords/coordinate-system","display_name":"Coordinate system","score":0.48069554567337036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.439935564994812},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32019925117492676}],"concepts":[{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.7233909368515015},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7210612297058105},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5917045474052429},{"id":"https://openalex.org/C80551277","wikidata":"https://www.wikidata.org/wiki/Q11210","display_name":"Coordinate system","level":2,"score":0.48069554567337036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.439935564994812},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32019925117492676},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10651383","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10651383","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W624338078","https://openalex.org/W2051998685","https://openalex.org/W2131831293","https://openalex.org/W2164598857","https://openalex.org/W2599837009","https://openalex.org/W2603777577","https://openalex.org/W2798365772","https://openalex.org/W2952056941","https://openalex.org/W2962793481","https://openalex.org/W2963767194","https://openalex.org/W2963890275","https://openalex.org/W2972555443","https://openalex.org/W2991377405","https://openalex.org/W3034521057","https://openalex.org/W3034600949","https://openalex.org/W3174847300","https://openalex.org/W3175375202","https://openalex.org/W3175906703","https://openalex.org/W3182270175","https://openalex.org/W3207637049","https://openalex.org/W3207961195","https://openalex.org/W4229900995","https://openalex.org/W4240726888","https://openalex.org/W4301206121","https://openalex.org/W4385484554","https://openalex.org/W4385484689","https://openalex.org/W4385488939","https://openalex.org/W4386065626","https://openalex.org/W4386075523","https://openalex.org/W6765779288","https://openalex.org/W6802786178"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"The":[0,108],"eye":[1,32,57,86,96,164,171,201,212],"area,":[2],"which":[3,205,248],"can":[4,44,249],"effectively":[5,206],"convey":[6],"social":[7],"information":[8,16,33,58,137],"and":[9,59,70,84,104,135,154,193,218,243,255,266],"behavioral":[10],"intentions,":[11],"contains":[12],"most":[13],"of":[14,23,118,138,146,210],"the":[15,21,31,39,63,68,76,115,124,128,139,143,152,163,179,199,208,220,226,231,245,274],"in":[17,34,55,215,261],"facial":[18,36,216],"images.":[19,37],"However,":[20],"occlusion":[22],"glasses":[24,46,64,77,227],"makes":[25],"it":[26],"difficult":[27],"to":[28,81,113,120,150,161,166,197,241],"accurately":[29],"obtain":[30,167],"some":[35],"Although":[38],"existing":[40,52],"attribute":[41,97],"editing":[42,87,98,172,221,263],"method":[43,148,160,272],"remove":[45,151],"from":[47],"face":[48],"images,":[49],"there":[50],"are":[51,228],"drawbacks":[53],"lay":[54],"incomplete":[56],"insufficient":[60],"disentanglement":[61],"after":[62,225],"were":[65,78],"removed":[66],"(e.g.":[67],"background":[69],"hair":[71],"color":[72],"also":[73],"changed":[74],"when":[75],"removed),":[79],"unable":[80],"get":[82],"real":[83],"natural":[85],"results.":[88,264],"To":[89],"address":[90],"this":[91],"problem,":[92],"we":[93,182,234],"propose":[94],"an":[95,256],"model":[99],"assisted":[100],"by":[101,175],"dual-coordinate":[102,176,185,195],"system":[103,196],"multi-probability":[105,157,237],"fusion":[106,158,238],"prediction.":[107],"former":[109],"one":[110,130,180],"is":[111,149],"designed":[112,183],"enhance":[114,244],"position":[116,213],"awareness":[117],"inpainting":[119,224],"directly":[121],"focus":[122],"on":[123],"eyes":[125],"area":[126,165,203,222],"while":[127],"later":[129],"could":[131],"integrate":[132],"both":[133],"local":[134,253],"global":[136,258],"target":[140],"area.":[141],"Specifically,":[142],"first":[144],"stage":[145],"our":[147,271],"glasses,":[153],"then":[155],"use":[156],"prediction":[159,239],"inpaint":[162],"a":[168,184,190,194,236,251],"reasonably":[169],"complete":[170],"result":[173],"supported":[174],"system.":[177],"On":[178,230],"hand,":[181,233],"positioning":[186],"module":[187],"that":[188,270],"uses":[189],"cascaded":[191],"classifier":[192],"locate":[198],"human":[200],"height":[202,214],"mask,":[204],"solves":[207],"problem":[209],"inconsistent":[211],"images":[217],"determines":[219],"for":[223],"removed.":[229],"other":[232],"employed":[235],"algorithm":[240],"supplement":[242],"ocular":[246],"information,":[247],"combine":[250],"distance-based":[252],"probability":[254],"adaptive":[257],"probability,":[259],"resulting":[260],"improved":[262],"Quantitative":[265],"qualitative":[267],"evaluations":[268],"show":[269],"outperforms":[273],"state-of-the-art":[275],"methods.":[276]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
