{"id":"https://openalex.org/W4226078259","doi":"https://doi.org/10.1109/tmm.2022.3163554","title":"USID-Net: Unsupervised Single Image Dehazing Network via Disentangled Representations","display_name":"USID-Net: Unsupervised Single Image Dehazing Network via Disentangled Representations","publication_year":2022,"publication_date":"2022-03-30","ids":{"openalex":"https://openalex.org/W4226078259","doi":"https://doi.org/10.1109/tmm.2022.3163554"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2022.3163554","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3163554","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-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/A5101517522","display_name":"Jiafeng Li","orcid":"https://orcid.org/0000-0001-6976-7275"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiafeng Li","raw_affiliation_strings":["Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6976-7275","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101499330","display_name":"Yaopeng Li","orcid":"https://orcid.org/0000-0003-1529-3718"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaopeng Li","raw_affiliation_strings":["Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1529-3718","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100448036","display_name":"Zhuo Li","orcid":"https://orcid.org/0000-0002-9937-2669"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zhuo","raw_affiliation_strings":["Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9937-2669","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065703564","display_name":"Lingyan Kuang","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingyan Kuang","raw_affiliation_strings":["Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065794169","display_name":"Tianjian Yu","orcid":"https://orcid.org/0000-0002-2024-8826"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianjian Yu","raw_affiliation_strings":["School of Traffic and Transportation Engineering, Central South University, Changsha, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation Engineering, Central South University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101517522"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":11.9828,"has_fulltext":false,"cited_by_count":131,"citation_normalized_percentile":{"value":0.99188164,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"25","issue":null,"first_page":"3587","last_page":"3601"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9972000122070312,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.885303795337677},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6367290616035461},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6160102486610413},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5877425074577332},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.5664986968040466},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5528485774993896},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5270887613296509},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.49705222249031067},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49410632252693176},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4706743657588959},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44303393363952637},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41090840101242065}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.885303795337677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6367290616035461},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6160102486610413},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5877425074577332},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.5664986968040466},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5528485774993896},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5270887613296509},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.49705222249031067},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49410632252693176},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4706743657588959},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44303393363952637},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41090840101242065},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2022.3163554","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3163554","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G122649873","display_name":null,"funder_award_id":"61701011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1500894925","display_name":null,"funder_award_id":"L211017","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G5228175158","display_name":null,"funder_award_id":"61971016","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/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1967369969","https://openalex.org/W2028763589","https://openalex.org/W2114867966","https://openalex.org/W2128254161","https://openalex.org/W2156936307","https://openalex.org/W2194775991","https://openalex.org/W2256362396","https://openalex.org/W2331128040","https://openalex.org/W2467473805","https://openalex.org/W2519481857","https://openalex.org/W2536722097","https://openalex.org/W2576444478","https://openalex.org/W2767516232","https://openalex.org/W2779176852","https://openalex.org/W2788682721","https://openalex.org/W2792829624","https://openalex.org/W2798876216","https://openalex.org/W2808370801","https://openalex.org/W2928165649","https://openalex.org/W2948606054","https://openalex.org/W2962754725","https://openalex.org/W2962793481","https://openalex.org/W2962947361","https://openalex.org/W2963074253","https://openalex.org/W2963306157","https://openalex.org/W2963928582","https://openalex.org/W2969134192","https://openalex.org/W2977216913","https://openalex.org/W2985194834","https://openalex.org/W2988396473","https://openalex.org/W2990007814","https://openalex.org/W2996367318","https://openalex.org/W2998249728","https://openalex.org/W3028365735","https://openalex.org/W3034278302","https://openalex.org/W3034331889","https://openalex.org/W3034359211","https://openalex.org/W3034578106","https://openalex.org/W3066471605","https://openalex.org/W3099705112","https://openalex.org/W3105901005","https://openalex.org/W3133769291","https://openalex.org/W3159890710","https://openalex.org/W4320013936","https://openalex.org/W6637373629","https://openalex.org/W6734074887","https://openalex.org/W6785710124"],"related_works":["https://openalex.org/W2392812199","https://openalex.org/W4200176076","https://openalex.org/W598185802","https://openalex.org/W2355516524","https://openalex.org/W2361471170","https://openalex.org/W2025616642","https://openalex.org/W1954972543","https://openalex.org/W2954738200","https://openalex.org/W4220843223","https://openalex.org/W4226107239"],"abstract_inverted_index":{"Captured":[0],"images":[1,47,82],"of":[2,11,24,45,55],"outdoor":[3],"scenes":[4],"usually":[5],"exhibit":[6],"low":[7],"visibility":[8],"in":[9,41,61],"cases":[10],"severe":[12],"haze,":[13],"which":[14],"interferes":[15],"with":[16],"optical":[17],"imaging":[18],"and":[19,91,107,146],"degrades":[20],"image":[21,71],"quality.":[22],"Most":[23],"the":[25,29,43,52,87],"existing":[26],"methods":[27],"solve":[28],"single-image":[30],"dehazing":[31,57,72,144],"problem":[32],"by":[33],"applying":[34],"supervised":[35],"training":[36,81],"on":[37,76],"paired":[38,80],"images;":[39],"however,":[40],"practice,":[42],"pairing":[44],"real-world":[46],"is":[48,59,83,101,125,159],"not":[49],"viable.":[50],"Additionally,":[51],"processing":[53,150],"speed":[54,151],"individual":[56],"models":[58],"important":[60],"practical":[62],"applications.":[63],"In":[64],"this":[65],"study,":[66],"a":[67,94,119,147],"novel":[68],"unsupervised":[69],"single":[70],"network":[73],"(USID-Net)":[74],"based":[75],"disentangled":[77],"representations":[78,130],"without":[79],"explored.":[84],"Furthermore,":[85],"considering":[86],"trade-off":[88],"between":[89],"performance":[90],"memory":[92],"storage,":[93],"compact":[95],"multi-scale":[96,104],"feature":[97,105,112],"attention":[98,108],"(MFA)":[99],"module":[100],"developed,":[102],"integrating":[103],"representation":[106],"mechanism":[109,120],"to":[110,122,127,153],"facilitate":[111],"representation.":[113],"To":[114],"effectively":[115],"extract":[116],"haze":[117],"information,":[118],"referred":[121],"as":[123],"OctEncoder":[124],"designed":[126],"include":[128],"multi-frequency":[129],"that":[131,140],"can":[132],"capture":[133],"more":[134],"global":[135],"information.":[136],"Extensive":[137],"experiments":[138],"show":[139],"USID-Net":[141],"achieves":[142],"competitive":[143],"results":[145],"relatively":[148],"high":[149],"compared":[152],"state-of-the-art":[154],"methods.":[155],"The":[156],"source":[157],"code":[158],"available":[160],"at":[161],"<uri":[162],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[163],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/dehazing/USID-Net</uri>":[164],".":[165]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":48},{"year":2024,"cited_by_count":48},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":3}],"updated_date":"2026-05-10T08:33:47.465468","created_date":"2025-10-10T00:00:00"}