{"id":"https://openalex.org/W3093767881","doi":"https://doi.org/10.1109/access.2020.3031292","title":"JGAN: A Joint Formulation of GAN for Synthesizing Images and Labels","display_name":"JGAN: A Joint Formulation of GAN for Synthesizing Images and Labels","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3093767881","doi":"https://doi.org/10.1109/access.2020.3031292","mag":"3093767881"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3031292","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3031292","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09224732.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09224732.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087890927","display_name":"Minje Park","orcid":"https://orcid.org/0000-0001-5915-0247"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Minje Park","raw_affiliation_strings":["Intel, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-5915-0247","affiliations":[{"raw_affiliation_string":"Intel, Seoul, South Korea","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5087890927"],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.385,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.59833022,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"188883","last_page":"188888"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9994999766349792,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9994999766349792,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.994700014591217,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9897000193595886,"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/discriminator","display_name":"Discriminator","score":0.8175461292266846},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.7270621061325073},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7227199077606201},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6585828065872192},{"id":"https://openalex.org/keywords/joint-probability-distribution","display_name":"Joint probability distribution","score":0.6363085508346558},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.6348741054534912},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5405091643333435},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4839061200618744},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4797278940677643},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3473001718521118},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22691139578819275},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06786134839057922}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.8175461292266846},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.7270621061325073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7227199077606201},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6585828065872192},{"id":"https://openalex.org/C18653775","wikidata":"https://www.wikidata.org/wiki/Q1333358","display_name":"Joint probability distribution","level":2,"score":0.6363085508346558},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6348741054534912},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5405091643333435},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4839061200618744},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4797278940677643},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3473001718521118},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22691139578819275},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06786134839057922},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2020.3031292","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3031292","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09224732.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1905.11574","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.11574","pdf_url":"https://arxiv.org/pdf/1905.11574","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:doaj.org/article:c8dd8e42f8344461ac9695d4265dc734","is_oa":true,"landing_page_url":"https://doaj.org/article/c8dd8e42f8344461ac9695d4265dc734","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 188883-188888 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3031292","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3031292","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09224732.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3093767881.pdf","grobid_xml":"https://content.openalex.org/works/W3093767881.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W648143168","https://openalex.org/W2095705004","https://openalex.org/W2099471712","https://openalex.org/W2100495367","https://openalex.org/W2125389028","https://openalex.org/W2405756170","https://openalex.org/W2411541852","https://openalex.org/W2545656684","https://openalex.org/W2548275288","https://openalex.org/W2605195953","https://openalex.org/W2687693326","https://openalex.org/W2727849499","https://openalex.org/W2739748921","https://openalex.org/W2758188475","https://openalex.org/W2785678896","https://openalex.org/W2787579267","https://openalex.org/W2951523806","https://openalex.org/W2962754210","https://openalex.org/W2962760235","https://openalex.org/W2962808998","https://openalex.org/W2962879692","https://openalex.org/W2963373786","https://openalex.org/W2963836885","https://openalex.org/W2963873275","https://openalex.org/W4293406733","https://openalex.org/W4294643831","https://openalex.org/W4295274059","https://openalex.org/W4295521014","https://openalex.org/W4320013936","https://openalex.org/W6621378261","https://openalex.org/W6674330103","https://openalex.org/W6678815747","https://openalex.org/W6713645886","https://openalex.org/W6714590955","https://openalex.org/W6718379498","https://openalex.org/W6729110096","https://openalex.org/W6735913928","https://openalex.org/W6736155344","https://openalex.org/W6740327194","https://openalex.org/W6741832134","https://openalex.org/W6744550455","https://openalex.org/W6745560452","https://openalex.org/W6746090280","https://openalex.org/W6748582592","https://openalex.org/W6748655329"],"related_works":["https://openalex.org/W4293320219","https://openalex.org/W2953246223","https://openalex.org/W3110074278","https://openalex.org/W4283584549","https://openalex.org/W2554314924","https://openalex.org/W4288256692","https://openalex.org/W2998859928","https://openalex.org/W3156863413","https://openalex.org/W4381885966","https://openalex.org/W4308217387"],"abstract_inverted_index":{"Image":[0],"generation":[1],"with":[2,31,117,142],"explicit":[3],"condition":[4],"or":[5,111],"label":[6,75],"generally":[7],"works":[8],"better":[9],"than":[10],"unconditional":[11,124],"methods.":[12],"In":[13,33],"modern":[14],"GAN":[15,42,145],"frameworks,":[16],"both":[17],"generator":[18],"and":[19,50,89,139],"discriminator":[20],"are":[21,53],"formulated":[22],"to":[23,74,122],"model":[24],"the":[25,45,68,83,91,118,130,143],"conditional":[26,61],"distribution":[27,47],"of":[28,41,48,85,93,108,132],"images":[29,49],"given":[30],"labels.":[32,51],"this":[34,57],"article,":[35],"we":[36,103],"provide":[37],"an":[38],"alternative":[39],"formulation":[40,59,70,135],"which":[43],"models":[44],"joint":[46,58,69,134],"There":[52],"two":[54],"advantages":[55],"in":[56,96],"over":[60],"approaches.":[62],"The":[63,99],"first":[64],"advantage":[65],"is":[66,71,101],"that":[67,102,114],"more":[72],"robust":[73],"noises":[76],"if":[77],"it's":[78],"properly":[79],"modeled.":[80],"This":[81],"alleviates":[82],"burden":[84],"making":[86],"noise-free":[87],"labels":[88,95,110],"allows":[90],"use":[92,105],"weakly-supervised":[94],"image":[97,112,120,125],"generation.":[98,126],"second":[100],"can":[104],"any":[106],"kinds":[107],"weak":[109],"features":[113],"have":[115],"correlations":[116],"original":[119],"data":[121],"enhance":[123],"We":[127],"will":[128],"show":[129],"effectiveness":[131],"our":[133],"on":[136],"CIFAR10,":[137],"CIFAR100,":[138],"STL":[140],"dataset":[141],"state-of-the-art":[144],"architecture.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}