{"id":"https://openalex.org/W2923702654","doi":"https://doi.org/10.1109/icaiic.2019.8669076","title":"Improving Learning time in Unsupervised Image-to-Image Translation","display_name":"Improving Learning time in Unsupervised Image-to-Image Translation","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2923702654","doi":"https://doi.org/10.1109/icaiic.2019.8669076","mag":"2923702654"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic.2019.8669076","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic.2019.8669076","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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/A5074496049","display_name":"Tae-Hong Min","orcid":"https://orcid.org/0009-0008-7267-0595"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Tae-Hong Min","raw_affiliation_strings":["Department of Software, Ajou University, Suwon, The Reupublic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Software, Ajou University, Suwon, The Reupublic of Korea","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100723393","display_name":"Doyun Kim","orcid":"https://orcid.org/0000-0001-6373-9660"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Do-Yun Kim","raw_affiliation_strings":["Department of Software, Ajou University, Suwon, The Reupublic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Software, Ajou University, Suwon, The Reupublic of Korea","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050640061","display_name":"Young\u2010June Choi","orcid":"https://orcid.org/0000-0003-2240-0892"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young-June Choi","raw_affiliation_strings":["Department of Software, Ajou University, Suwon, The Reupublic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Software, Ajou University, Suwon, The Reupublic of Korea","institution_ids":["https://openalex.org/I57664883"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074496049"],"corresponding_institution_ids":["https://openalex.org/I57664883"],"apc_list":null,"apc_paid":null,"fwci":0.1012,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.40429678,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"455","last_page":"458"},"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":0.9970999956130981,"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":0.9970999956130981,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9495999813079834,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9472000002861023,"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/image-translation","display_name":"Image translation","score":0.8031835556030273},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.7819912433624268},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7471571564674377},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6797999143600464},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6667178273200989},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.6403622627258301},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.548646092414856},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.49745848774909973},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.43326476216316223},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42960649728775024},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.427035927772522},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.42633721232414246},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4030101001262665},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.20470991730690002},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14029529690742493}],"concepts":[{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.8031835556030273},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.7819912433624268},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7471571564674377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6797999143600464},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6667178273200989},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.6403622627258301},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.548646092414856},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.49745848774909973},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.43326476216316223},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42960649728775024},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.427035927772522},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.42633721232414246},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4030101001262665},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.20470991730690002},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14029529690742493},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic.2019.8669076","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic.2019.8669076","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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":8,"referenced_works":["https://openalex.org/W2598581049","https://openalex.org/W2611605760","https://openalex.org/W2887513558","https://openalex.org/W2951939904","https://openalex.org/W2963073614","https://openalex.org/W2963684088","https://openalex.org/W6685352114","https://openalex.org/W6735204497"],"related_works":["https://openalex.org/W3109545856","https://openalex.org/W4288069866","https://openalex.org/W3155045749","https://openalex.org/W4389232935","https://openalex.org/W2936127876","https://openalex.org/W4387421677","https://openalex.org/W4213477128","https://openalex.org/W2806541789","https://openalex.org/W2957407072","https://openalex.org/W4312511225"],"abstract_inverted_index":{"Unsupervised":[0],"image-to-image":[1,82],"translation":[2],"can":[3],"map":[4],"local":[5],"textures":[6],"between":[7],"two":[8],"domains,":[9],"but":[10],"typically":[11],"fails":[12],"when":[13],"the":[14,32,69],"domain":[15],"requires":[16],"big":[17,29,76],"shape":[18,77],"changes.":[19],"It":[20],"is":[21,58,66],"difficult":[22],"to":[23,26,42,53,74],"learn":[24],"how":[25],"make":[27,75],"such":[28],"change":[30,78],"using":[31],"basic":[33],"convolution":[34],"layer,":[35],"and":[36,47,79],"furthermore":[37],"it":[38],"takes":[39],"much":[40],"time":[41],"learn.":[43],"For":[44],"faster":[45,81],"learning":[46],"high-quality":[48],"image":[49],"generation,":[50],"we":[51],"propose":[52],"use":[54],"Cycle":[55],"GAN":[56],"that":[57,65],"combined":[59],"with":[60,68],"Resnet":[61],"in":[62],"a":[63],"network":[64],"connected":[67],"residual":[70],"block":[71],"for":[72],"upsampling":[73],"construct":[80],"translation.":[83]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
