{"id":"https://openalex.org/W3129015415","doi":"https://doi.org/10.1109/tim.2021.3056645","title":"DRF: Disentangled Representation for Visible and Infrared Image Fusion","display_name":"DRF: Disentangled Representation for Visible and Infrared Image Fusion","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3129015415","doi":"https://doi.org/10.1109/tim.2021.3056645","mag":"3129015415"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2021.3056645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3056645","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5046043407","display_name":"Han Xu","orcid":"https://orcid.org/0000-0002-6291-2924"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Xu","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-6291-2924","affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101552051","display_name":"Xinya Wang","orcid":"https://orcid.org/0000-0003-2144-9811"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinya Wang","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-2144-9811","affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040010053","display_name":"Jiayi Ma","orcid":"https://orcid.org/0000-0003-3264-3265"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayi Ma","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3264-3265","affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":13.1254,"has_fulltext":false,"cited_by_count":190,"citation_normalized_percentile":{"value":0.99101489,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9965000152587891,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9934999942779541,"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/representation","display_name":"Representation (politics)","score":0.7315064668655396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.684209406375885},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6571545600891113},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6158612966537476},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5930590629577637},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.574137806892395},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5660077333450317},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5612070560455322},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5565518736839294},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.542588472366333},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5369754433631897},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5346879959106445},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5069389939308167},{"id":"https://openalex.org/keywords/fusion-rules","display_name":"Fusion rules","score":0.49397021532058716},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.4797010123729706},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45081621408462524},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.43002742528915405},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.1096300482749939},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.0736134946346283}],"concepts":[{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.7315064668655396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.684209406375885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6571545600891113},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6158612966537476},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5930590629577637},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.574137806892395},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5660077333450317},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5612070560455322},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5565518736839294},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.542588472366333},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5369754433631897},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5346879959106445},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5069389939308167},{"id":"https://openalex.org/C2778971668","wikidata":"https://www.wikidata.org/wiki/Q5510284","display_name":"Fusion rules","level":4,"score":0.49397021532058716},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.4797010123729706},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45081621408462524},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.43002742528915405},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.1096300482749939},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0736134946346283},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2021.3056645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3056645","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1017338546","display_name":null,"funder_award_id":"2019CFA037","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G3260984976","display_name":null,"funder_award_id":"61773295","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/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1010868406","https://openalex.org/W1836465849","https://openalex.org/W1901129140","https://openalex.org/W1963915657","https://openalex.org/W2081195086","https://openalex.org/W2094162745","https://openalex.org/W2116413081","https://openalex.org/W2133665775","https://openalex.org/W2194775991","https://openalex.org/W2266694576","https://openalex.org/W2288726182","https://openalex.org/W2502312327","https://openalex.org/W2559295071","https://openalex.org/W2603777577","https://openalex.org/W2737047298","https://openalex.org/W2744070429","https://openalex.org/W2751011928","https://openalex.org/W2753738274","https://openalex.org/W2798018774","https://openalex.org/W2798483734","https://openalex.org/W2798987894","https://openalex.org/W2804532869","https://openalex.org/W2809795042","https://openalex.org/W2885192629","https://openalex.org/W2900174385","https://openalex.org/W2912147220","https://openalex.org/W2949117887","https://openalex.org/W2952056941","https://openalex.org/W2963134949","https://openalex.org/W2963667985","https://openalex.org/W2964127395","https://openalex.org/W2970073937","https://openalex.org/W2971071255","https://openalex.org/W2995936506","https://openalex.org/W2998529071","https://openalex.org/W3007891240","https://openalex.org/W3011768656","https://openalex.org/W3030921250","https://openalex.org/W3035272096","https://openalex.org/W3035436173","https://openalex.org/W3039415429","https://openalex.org/W3043904761","https://openalex.org/W3046194589","https://openalex.org/W3083923056","https://openalex.org/W3102411220","https://openalex.org/W3102515681","https://openalex.org/W3105639468","https://openalex.org/W3108042295","https://openalex.org/W3159890710","https://openalex.org/W4226178544","https://openalex.org/W6638667902","https://openalex.org/W6639824700","https://openalex.org/W6724804524","https://openalex.org/W6744627333","https://openalex.org/W6748391871","https://openalex.org/W6750688579"],"related_works":["https://openalex.org/W4312837757","https://openalex.org/W2549658594","https://openalex.org/W2587577390","https://openalex.org/W2378046426","https://openalex.org/W2158854660","https://openalex.org/W4213227867","https://openalex.org/W2031602794","https://openalex.org/W2358873223","https://openalex.org/W2204403038","https://openalex.org/W2379054866"],"abstract_inverted_index":{"In":[0,60],"this":[1,61],"article,":[2],"we":[3,25,43],"propose":[4],"a":[5],"novel":[6],"decomposition":[7,28],"method":[8],"by":[9,67,77],"applying":[10],"disentangled":[11],"representation":[12,70],"for":[13,100],"visible":[14,37],"and":[15,38,50,126,134,157],"infrared":[16,39],"image":[17],"fusion":[18,102,122],"(DRF).":[19],"According":[20],"to":[21,73,119],"the":[22,27,31,36,45,48,56,63,68,74,84,101,110,116,121,130,139,146,149],"imaging":[23],"principle,":[24],"perform":[26],"depending":[29],"on":[30,129],"source":[32],"of":[33,80,86,89,103,107,142,148,153],"information":[34,65,75,91],"in":[35,151],"images.":[40],"More":[41],"concretely,":[42],"disentangle":[44],"images":[46],"into":[47,115],"scene-":[49],"sensor":[51,81],"modality":[52],"(attribute)-related":[53],"representations":[54,112],"through":[55],"corresponding":[57],"encoders,":[58],"respectively.":[59],"way,":[62],"unique":[64,90],"defined":[66],"attribute-related":[69],"is":[71],"closer":[72],"captured":[76],"each":[78],"type":[79],"individually.":[82],"Thus,":[83],"problem":[85],"inappropriate":[87],"extraction":[88],"can":[92],"be":[93],"alleviated.":[94],"Then,":[95],"different":[96,105],"strategies":[97],"are":[98,113],"applied":[99],"these":[104],"types":[106],"representations.":[108],"Finally,":[109],"fused":[111],"fed":[114],"pretrained":[117],"generator":[118],"generate":[120],"result.":[123],"The":[124],"qualitative":[125],"quantitative":[127,158],"experiments":[128],"publicly":[131],"available":[132],"TNO":[133],"RoadScene":[135],"data":[136],"sets":[137],"demonstrate":[138],"comparable":[140],"performance":[141],"our":[143],"DRF":[144],"over":[145],"state":[147],"art":[150],"terms":[152],"both":[154],"visual":[155],"effect":[156],"metrics.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":51},{"year":2024,"cited_by_count":56},{"year":2023,"cited_by_count":43},{"year":2022,"cited_by_count":29},{"year":2021,"cited_by_count":5}],"updated_date":"2026-08-14T07:06:38.338062","created_date":"2025-10-10T00:00:00"}
