{"id":"https://openalex.org/W4389104698","doi":"https://doi.org/10.1109/tim.2023.3306537","title":"GuideFuse: A Novel Guided Auto-Encoder Fusion Network for Infrared and Visible Images","display_name":"GuideFuse: A Novel Guided Auto-Encoder Fusion Network for Infrared and Visible Images","publication_year":2023,"publication_date":"2023-11-28","ids":{"openalex":"https://openalex.org/W4389104698","doi":"https://doi.org/10.1109/tim.2023.3306537"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3306537","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3306537","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/A5102904006","display_name":"Zeyang Zhang","orcid":"https://orcid.org/0000-0003-1834-0559"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zeyang Zhang","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064149604","display_name":"Hui Li","orcid":"https://orcid.org/0000-0003-4550-7879"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Li","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049469328","display_name":"Tianyang Xu","orcid":"https://orcid.org/0000-0002-9015-3128"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyang Xu","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087450445","display_name":"Xiao\u2010Jun Wu","orcid":"https://orcid.org/0000-0002-0310-5778"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Jun Wu","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006506263","display_name":"Yu Fu","orcid":"https://orcid.org/0000-0002-5632-8158"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Fu","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102904006"],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":null,"apc_paid":null,"fwci":2.2016,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.8936921,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"11"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.998199999332428,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7949843406677246},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.7605801820755005},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6784085035324097},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.6400498747825623},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.6261696815490723},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5733175277709961},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.561408281326294},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5524632930755615},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5523951649665833},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5387469530105591},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5066500306129456},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4506620466709137},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.42129069566726685},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3706577718257904},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14445170760154724}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7949843406677246},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7605801820755005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6784085035324097},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.6400498747825623},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6261696815490723},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5733175277709961},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.561408281326294},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5524632930755615},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5523951649665833},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5387469530105591},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5066500306129456},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4506620466709137},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.42129069566726685},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3706577718257904},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14445170760154724},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2023.3306537","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3306537","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":[],"awards":[{"id":"https://openalex.org/G2070706591","display_name":null,"funder_award_id":"62332008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G344950217","display_name":null,"funder_award_id":"U1836218","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4262620591","display_name":null,"funder_award_id":"62202205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5081062661","display_name":null,"funder_award_id":"62020106012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5773036057","display_name":null,"funder_award_id":"62106089","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1563795667","https://openalex.org/W1861492603","https://openalex.org/W1965606870","https://openalex.org/W2023597062","https://openalex.org/W2046119925","https://openalex.org/W2088856702","https://openalex.org/W2091484864","https://openalex.org/W2108598243","https://openalex.org/W2116988482","https://openalex.org/W2120339771","https://openalex.org/W2133665775","https://openalex.org/W2153777140","https://openalex.org/W2194775991","https://openalex.org/W2221102299","https://openalex.org/W2474462684","https://openalex.org/W2532801510","https://openalex.org/W2533214323","https://openalex.org/W2552737937","https://openalex.org/W2559870345","https://openalex.org/W2618530766","https://openalex.org/W2798483734","https://openalex.org/W2798987894","https://openalex.org/W2905308706","https://openalex.org/W2912147220","https://openalex.org/W2963787388","https://openalex.org/W2998012573","https://openalex.org/W2998529071","https://openalex.org/W3007891240","https://openalex.org/W3011768656","https://openalex.org/W3039415429","https://openalex.org/W3046194589","https://openalex.org/W3102411220","https://openalex.org/W3105639468","https://openalex.org/W3133700567","https://openalex.org/W3175433303","https://openalex.org/W4231697575","https://openalex.org/W4312440143","https://openalex.org/W4323538540","https://openalex.org/W4386076504","https://openalex.org/W6631190155","https://openalex.org/W6633802082","https://openalex.org/W6750688579"],"related_works":["https://openalex.org/W1950940422","https://openalex.org/W4283822356","https://openalex.org/W2129146436","https://openalex.org/W2032507829","https://openalex.org/W2788731446","https://openalex.org/W2147282173","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594"],"abstract_inverted_index":{"Although":[0],"the":[1,9,12,21,30,69,73,86,90,99,117,123,126,134,137,140,145,152,157,163],"deep":[2,35],"network":[3,36,59,155],"has":[4],"rich":[5],"semantic":[6],"expression":[7],"ability,":[8],"details":[10,32],"of":[11,23,72,125],"source":[13,74,127,141],"image":[14,31,42,128,142],"will":[15],"inevitably":[16],"be":[17,109],"lost":[18],"due":[19],"to":[20,28,84,88,144],"increase":[22],"model":[24],"depth.":[25],"Thus,":[26],"how":[27],"introduce":[29],"into":[33],"a":[34,38,54,77,93],"is":[37,102,119],"key":[39],"problem":[40],"for":[41,60,121],"fusion":[43,58,95,154,159,165],"tasks.":[44],"To":[45],"solve":[46],"this":[47,50],"problem,":[48],"in":[49,115],"article,":[51],"we":[52],"propose":[53],"novel":[55,94],"gradient-based":[56],"auto-encoder":[57],"infrared":[61],"and":[62,76],"visible":[63],"images,":[64],"termed":[65],"GuideFuse.":[66],"We":[67],"calculate":[68],"gradient":[70],"map":[71],"image,":[75],"special":[78],"GuideValue":[79],"(GV)":[80],"cooperating":[81],"with":[82,162],"it":[83],"guide":[85],"Decoder":[87],"reconstruct":[89],"image.":[91],"Then,":[92],"strategy":[96],"based":[97],"on":[98],"calculated":[100],"GV":[101],"proposed.":[103],"The":[104],"whole":[105],"training":[106,112],"process":[107],"can":[108],"described":[110],"as":[111,129,131],"an":[113],"auto-encoder,":[114],"which":[116],"Encoder":[118],"responsible":[120],"extracting":[122],"features":[124],"much":[130],"possible.":[132],"At":[133],"same":[135],"time,":[136],"decoder":[138],"reconstructs":[139],"according":[143],"extracted":[146],"features.":[147],"Experimental":[148],"results":[149],"show":[150],"that":[151],"proposed":[153],"achieves":[156],"best":[158],"effect":[160],"compared":[161],"existing":[164],"methods.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}