{"id":"https://openalex.org/W4388505209","doi":"https://doi.org/10.1109/tiv.2023.3331017","title":"An Interpretable Image Denoising Framework via Dual Disentangled Representation Learning","display_name":"An Interpretable Image Denoising Framework via Dual Disentangled Representation Learning","publication_year":2023,"publication_date":"2023-11-08","ids":{"openalex":"https://openalex.org/W4388505209","doi":"https://doi.org/10.1109/tiv.2023.3331017"},"language":"en","primary_location":{"id":"doi:10.1109/tiv.2023.3331017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tiv.2023.3331017","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"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 Intelligent Vehicles","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/A5045029098","display_name":"Yunji Liang","orcid":"https://orcid.org/0000-0002-8381-8187"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunji Liang","raw_affiliation_strings":["School of Computer Science, Northwestern Polytechnical University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0002-8381-8187","affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102013598","display_name":"Jiayuan Fan","orcid":"https://orcid.org/0009-0001-5575-9159"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayuan Fan","raw_affiliation_strings":["School of Computer Science, Northwestern Polytechnical University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0009-0001-5575-9159","affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044689658","display_name":"Xiaolong Zheng","orcid":"https://orcid.org/0000-0003-0405-5458"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Zheng","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0405-5458","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100631521","display_name":"Yutong Wang","orcid":"https://orcid.org/0000-0001-7429-031X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yutong Wang","raw_affiliation_strings":["State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7429-031X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117217082","display_name":"Luwen Huangfu","orcid":"https://orcid.org/0000-0003-3926-7901"},"institutions":[{"id":"https://openalex.org/I26538001","display_name":"San Diego State University","ror":"https://ror.org/0264fdx42","country_code":"US","type":"education","lineage":["https://openalex.org/I26538001"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luwen Huangfu","raw_affiliation_strings":["Fowler College of Business (FCB), San Diego State University, San Diego, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-3926-7901","affiliations":[{"raw_affiliation_string":"Fowler College of Business (FCB), San Diego State University, San Diego, CA, USA","institution_ids":["https://openalex.org/I26538001"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Vedant Ghavate","orcid":"https://orcid.org/0009-0007-7304-6092"},"institutions":[{"id":"https://openalex.org/I26538001","display_name":"San Diego State University","ror":"https://ror.org/0264fdx42","country_code":"US","type":"education","lineage":["https://openalex.org/I26538001"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vedant Ghavate","raw_affiliation_strings":["College of Arts and Letters, San Diego State University (SDSU), San Diego, CA, USA"],"raw_orcid":"https://orcid.org/0009-0007-7304-6092","affiliations":[{"raw_affiliation_string":"College of Arts and Letters, San Diego State University (SDSU), San Diego, CA, USA","institution_ids":["https://openalex.org/I26538001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100701166","display_name":"Zhiwen Yu","orcid":"https://orcid.org/0000-0002-9905-3238"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwen Yu","raw_affiliation_strings":["School of Computer Science, Northwestern Polytechnical University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0002-9905-3238","affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6839,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.67057337,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"9","issue":"1","first_page":"2016","last_page":"2030"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9952999949455261,"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/interpretability","display_name":"Interpretability","score":0.7394409775733948},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.631471574306488},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6294338703155518},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5386884212493896},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4619847238063812},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.452208012342453},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.4447152614593506}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7394409775733948},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.631471574306488},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6294338703155518},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5386884212493896},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4619847238063812},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.452208012342453},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.4447152614593506},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/tiv.2023.3331017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tiv.2023.3331017","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"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 Intelligent Vehicles","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6000000238418579}],"awards":[{"id":"https://openalex.org/G2606856552","display_name":null,"funder_award_id":"72225011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7942008881","display_name":null,"funder_award_id":"62372378","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1979319585","https://openalex.org/W1990183777","https://openalex.org/W1990592195","https://openalex.org/W2058333183","https://openalex.org/W2099419573","https://openalex.org/W2114867966","https://openalex.org/W2147421915","https://openalex.org/W2149396346","https://openalex.org/W2156936307","https://openalex.org/W2163922914","https://openalex.org/W2194775991","https://openalex.org/W2256362396","https://openalex.org/W2467473805","https://openalex.org/W2612690371","https://openalex.org/W2737047298","https://openalex.org/W2740982616","https://openalex.org/W2748263833","https://openalex.org/W2788682721","https://openalex.org/W2791694917","https://openalex.org/W2792829624","https://openalex.org/W2912435603","https://openalex.org/W2921469264","https://openalex.org/W2922509574","https://openalex.org/W2948606054","https://openalex.org/W2952056941","https://openalex.org/W2963073614","https://openalex.org/W2963074253","https://openalex.org/W2963152299","https://openalex.org/W2963306157","https://openalex.org/W2963667985","https://openalex.org/W2963866045","https://openalex.org/W2976715267","https://openalex.org/W2994997884","https://openalex.org/W2998249728","https://openalex.org/W3013338555","https://openalex.org/W3034359211","https://openalex.org/W3083017137","https://openalex.org/W3084274556","https://openalex.org/W3090695439","https://openalex.org/W3103549414","https://openalex.org/W3104533206","https://openalex.org/W3104823194","https://openalex.org/W3110086937","https://openalex.org/W3116616514","https://openalex.org/W3138516171","https://openalex.org/W3170697543","https://openalex.org/W3173269149","https://openalex.org/W3194523157","https://openalex.org/W3201952986","https://openalex.org/W3206335707","https://openalex.org/W3211385606","https://openalex.org/W3215632849","https://openalex.org/W4206645497","https://openalex.org/W4212774754","https://openalex.org/W4221166948","https://openalex.org/W4224922575","https://openalex.org/W4226078259","https://openalex.org/W4285819094","https://openalex.org/W4289639938","https://openalex.org/W4294993033","https://openalex.org/W4304083137","https://openalex.org/W4308640080","https://openalex.org/W4312399981","https://openalex.org/W4312526244","https://openalex.org/W4313413129","https://openalex.org/W4317496742","https://openalex.org/W4327521824","https://openalex.org/W4327808545","https://openalex.org/W4372055753","https://openalex.org/W4387449317","https://openalex.org/W6637373629","https://openalex.org/W6640963894","https://openalex.org/W6738467200","https://openalex.org/W6779459370","https://openalex.org/W6845720290"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4293202849","https://openalex.org/W1980965563","https://openalex.org/W1489300767","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W2809283485","https://openalex.org/W4293768783","https://openalex.org/W1986582023","https://openalex.org/W2966829450"],"abstract_inverted_index":{"Various":[0],"unfavourable":[1],"conditions":[2,177],"such":[3,165],"as":[4,48,166],"fog,":[5,179],"snow":[6],"and":[7,13,46,75,86,115,136,181,196,216,221],"rain":[8],"may":[9],"degrade":[10],"image":[11,63,80,107,169],"quality":[12],"pose":[14],"tremendous":[15],"threats":[16],"to":[17,29,72,139,158,161],"the":[18,111,116,126,141,151],"safety":[19],"of":[20,94,128,213],"autonomous":[21,224],"driving.":[22,225],"Numerous":[23],"image-denoising":[24],"solutions":[25],"have":[26,39],"been":[27,40],"proposed":[28],"improve":[30],"visibility":[31],"under":[32,174,199],"adverse":[33],"weather":[34,90,117,129,152,176,201,214],"conditions.":[35,202],"However,":[36],"previous":[37],"studies":[38],"limited":[41],"in":[42],"robustness,":[43],"generalization":[44,194],"ability,":[45],"interpretability":[47,76],"they":[49],"were":[50],"designed":[51],"for":[52,219],"specific":[53],"scenarios.":[54],"To":[55,124],"address":[56],"this":[57],"problem,":[58],"we":[59,131,149],"introduce":[60],"an":[61,79,105],"interpretable":[62,211],"denoising":[64],"framework":[65],"via":[66],"Dual":[67],"Disentangled":[68,96],"Representation":[69,97],"Learning":[70,98],"(DDRL)":[71],"enhance":[73],"robustness":[74,198],"by":[77,119],"decomposing":[78],"into":[81,110],"content":[82,113,134],"factors":[83,88,215],"(e.g.,":[84,89],"objects)":[85],"context":[87],"conditions).":[91],"DDRL":[92,173,188,208],"consists":[93],"two":[95,145],"(DRL)":[99],"blocks.":[100,147],"In":[101],"each":[102],"DRL":[103,146],"block,":[104],"input":[106],"is":[108],"deconstructed":[109],"latent":[112],"distribution":[114,118],"minimizing":[120],"their":[121],"mutual":[122],"information.":[123],"mitigate":[125],"impacts":[127],"styles,":[130],"incorporated":[132],"a":[133],"discriminator":[135],"adversarial":[137],"objectives":[138],"learn":[140],"decomposable":[142],"interaction":[143],"between":[144],"Furthermore,":[148,203],"standardized":[150],"feature":[153],"space,":[154],"enabling":[155],"our":[156],"method":[157],"be":[159],"applicable":[160],"various":[162],"downstream":[163],"tasks":[164],"diverse":[167],"degraded":[168],"generation.":[170],"We":[171],"evaluated":[172],"three":[175],"including":[178],"rain,":[180],"snow.":[182],"The":[183],"experimental":[184],"results":[185],"demonstrate":[186],"that":[187,207],"shows":[189,206],"competitive":[190],"performance":[191],"with":[192],"good":[193],"capability":[195],"high":[197],"numerous":[200],"quantitative":[204],"analysis":[205],"can":[209],"capture":[210],"variations":[212],"decompose":[217],"them":[218],"safe":[220],"reliable":[222],"all-weather":[223]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
