{"id":"https://openalex.org/W4408345953","doi":"https://doi.org/10.1109/icassp49660.2025.10889638","title":"MAITFuse:Multi-Dimension Adaptive Interaction Transform Network For Infrared-visible Image Fusion","display_name":"MAITFuse:Multi-Dimension Adaptive Interaction Transform Network For Infrared-visible Image Fusion","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408345953","doi":"https://doi.org/10.1109/icassp49660.2025.10889638"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10889638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889638","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5062699389","display_name":"Yabin Sun","orcid":"https://orcid.org/0000-0002-3783-2885"},"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":"Yabin Sun","raw_affiliation_strings":["Jiangnan University,Artificial Intelligence,Wu Xi,China"],"affiliations":[{"raw_affiliation_string":"Jiangnan University,Artificial Intelligence,Wu Xi,China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028145360","display_name":"Wentai Lei","orcid":"https://orcid.org/0000-0002-3916-0533"},"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":"Wentai Lei","raw_affiliation_strings":["Central South University,Communications Engineering,Chang Sha,China"],"affiliations":[{"raw_affiliation_string":"Central South University,Communications Engineering,Chang Sha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352949","display_name":"Ziyi Zhang","orcid":"https://orcid.org/0000-0001-7563-5236"},"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":"Ziyi Zhang","raw_affiliation_strings":["Jiangnan University,Artificial Intelligence,Wu Xi,China"],"affiliations":[{"raw_affiliation_string":"Jiangnan University,Artificial Intelligence,Wu Xi,China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090798928","display_name":"J.D. Liu","orcid":"https://orcid.org/0000-0002-2198-7022"},"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":"Jiongchang Liu","raw_affiliation_strings":["Jiangnan University,Artificial Intelligence,Wu Xi,China"],"affiliations":[{"raw_affiliation_string":"Jiangnan University,Artificial Intelligence,Wu Xi,China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079614364","display_name":"Chenxu Li","orcid":"https://orcid.org/0000-0003-1359-5798"},"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":"Chenxu Li","raw_affiliation_strings":["Jiangnan University,Artificial Intelligence,Wu Xi,China"],"affiliations":[{"raw_affiliation_string":"Jiangnan University,Artificial Intelligence,Wu Xi,China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100375832","display_name":"Tao Zhang","orcid":"https://orcid.org/0000-0002-7192-5153"},"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":"Tao Zhang","raw_affiliation_strings":["Central South University,School of Electronic Information,Chang Sha,China"],"affiliations":[{"raw_affiliation_string":"Central South University,School of Electronic Information,Chang Sha,China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5062699389"],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07129844,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9574000239372253,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T12994","display_name":"Infrared Thermography in Medicine","score":0.941100001335144,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6796051263809204},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.596779465675354},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5957826375961304},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5919001698493958},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.5640196800231934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5565078258514404},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5329602360725403},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39996635913848877},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3380502462387085},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1947285532951355},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13406118750572205},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.10725736618041992}],"concepts":[{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6796051263809204},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.596779465675354},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5957826375961304},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5919001698493958},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.5640196800231934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5565078258514404},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5329602360725403},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39996635913848877},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3380502462387085},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1947285532951355},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13406118750572205},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10725736618041992},{"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},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10889638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889638","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1997596006","https://openalex.org/W2054273865","https://openalex.org/W2153777140","https://openalex.org/W2168239064","https://openalex.org/W2757470902","https://openalex.org/W2766499135","https://openalex.org/W2809795042","https://openalex.org/W2884585870","https://openalex.org/W2905308706","https://openalex.org/W2921749009","https://openalex.org/W2998529071","https://openalex.org/W3133560625","https://openalex.org/W3138516171","https://openalex.org/W3181367324","https://openalex.org/W3201025429","https://openalex.org/W4213086238","https://openalex.org/W4283732315","https://openalex.org/W4298009304","https://openalex.org/W4312594135","https://openalex.org/W4313267411","https://openalex.org/W4362014679","https://openalex.org/W4366352735","https://openalex.org/W4376131895","https://openalex.org/W4388706355","https://openalex.org/W4392640789","https://openalex.org/W4392977044"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331","https://openalex.org/W2095903272","https://openalex.org/W1989561795"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"Transformers":[3],"have":[4,23],"achieved":[5],"significant":[6],"success":[7],"in":[8,93],"image":[9],"fusion.":[10],"These":[11],"methods":[12,29],"utilize":[13],"self-attention":[14],"mechanism":[15],"across":[16,88,124],"different":[17],"spatial":[18,45,89],"or":[19],"channel":[20,47,91],"dimensions":[21,92],"and":[22,36,46,71,90,95],"demonstrated":[24],"impressive":[25],"performance.":[26],"However,":[27],"existing":[28,114],"only":[30],"optimize":[31],"along":[32],"a":[33,55,79,97],"single":[34],"dimension":[35],"struggle":[37],"to":[38,65,85,103,113],"simultaneously":[39],"capture":[40],"the":[41,67],"complex":[42],"dependencies":[43],"between":[44],"dimensions.":[48],"To":[49],"address":[50],"this":[51],"problem,":[52],"we":[53],"propose":[54],"novel":[56,98],"multi-dimensional":[57,105],"adaptive":[58],"interaction":[59],"transformer":[60],"network,":[61],"named":[62],"as":[63],"MAITFuse,":[64],"enhance":[66],"multilevel":[68],"information":[69,106],"expression":[70],"detail":[72],"retention":[73],"capabilities":[74],"of":[75],"images.":[76],"We":[77],"design":[78],"Multi-Dimensional":[80],"Feature":[81],"Extraction":[82],"(MDFE)":[83],"module":[84],"extract":[86],"features":[87],"parallel,":[94],"introduce":[96],"weighted":[99],"cross-attention":[100],"fusion":[101,115,122],"method":[102,119],"integrate":[104],"effectively.":[107],"Experimental":[108],"results":[109],"show":[110],"that,":[111],"compared":[112],"methods,":[116],"our":[117],"proposed":[118],"achieves":[120],"superior":[121],"performance":[123],"various":[125],"datasets.":[126]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
