{"id":"https://openalex.org/W7140481656","doi":"https://doi.org/10.1109/tip.2026.3675500","title":"Less Is More: Infrared and Visible Images Fusion via Semantic-Guided Mixture of Multi-Feature Experts","display_name":"Less Is More: Infrared and Visible Images Fusion via Semantic-Guided Mixture of Multi-Feature Experts","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7140481656","doi":"https://doi.org/10.1109/tip.2026.3675500","pmid":"https://pubmed.ncbi.nlm.nih.gov/41886321"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2026.3675500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2026.3675500","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5130669527","display_name":"Yinghui Xing","orcid":null},"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":"Yinghui Xing","raw_affiliation_strings":["Shaanxi Provincial Key Laboratory of Speech and Image Information Processing and the National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0001-6021-8261","affiliations":[{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing and the National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130679895","display_name":"Zhilong Niu","orcid":null},"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":"Zhilong Niu","raw_affiliation_strings":["Shaanxi Provincial Key Laboratory of Speech and Image Information Processing and the National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing and the National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130630979","display_name":"Shuo Yang","orcid":null},"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":"Shuo Yang","raw_affiliation_strings":["Shaanxi Provincial Key Laboratory of Speech and Image Information Processing and the National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0009-0008-7171-105X","affiliations":[{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing and the National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shizhou Zhang","orcid":"https://orcid.org/0000-0003-3429-576X"},"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":"Shizhou Zhang","raw_affiliation_strings":["Shaanxi Provincial Key Laboratory of Speech and Image Information Processing and the National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-3429-576X","affiliations":[{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing and the National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5130678775","display_name":"Yanning Zhang","orcid":null},"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":"Yanning Zhang","raw_affiliation_strings":["Shaanxi Provincial Key Laboratory of Speech and Image Information Processing and the National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-2977-8057","affiliations":[{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing and the National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":9.1798,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.97050275,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"35","issue":null,"first_page":"3381","last_page":"3394"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9279000163078308,"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":0.9279000163078308,"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":0.03009999915957451,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.00930000003427267,"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/fusion","display_name":"Fusion","score":0.5964000225067139},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5613999962806702},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.48829999566078186},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.41530001163482666},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.39480000734329224},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3564999997615814},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.31139999628067017}],"concepts":[{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5964000225067139},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5932000279426575},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5716000199317932},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5613999962806702},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.48829999566078186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42179998755455017},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.41530001163482666},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.39480000734329224},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3564999997615814},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.31139999628067017},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.310699999332428},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.30970001220703125},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.30379998683929443},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.29260000586509705},{"id":"https://openalex.org/C104663316","wikidata":"https://www.wikidata.org/wiki/Q76299","display_name":"Visible spectrum","level":2,"score":0.2867000102996826},{"id":"https://openalex.org/C45613198","wikidata":"https://www.wikidata.org/wiki/Q1134091","display_name":"Optical filter","level":2,"score":0.2775999903678894},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2524000108242035}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2026.3675500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2026.3675500","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:41886321","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41886321","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4259049065","display_name":null,"funder_award_id":"2024YFF1306501","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7114699980","display_name":null,"funder_award_id":"62576282","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7329032960","display_name":null,"funder_award_id":"62476223","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8447632825","display_name":null,"funder_award_id":"2024YFF1306501","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Infrared":[0],"(IR)":[1],"and":[2,20,35,73,98,199,203,216],"visible":[3,21,74,101,200],"image":[4,159,201,214],"fusion":[5,173,202,215],"(IVIF)":[6],"has":[7],"become":[8],"prevalent":[9],"in":[10,53,88,95,100,134],"recent":[11],"years.":[12],"By":[13],"leveraging":[14],"the":[15,153,188,191,207],"complementary":[16,43,192],"characteristics":[17],"of":[18,56,71,82,116,122,139,157,167,190,209],"infrared":[19,72,96,198],"images,":[22,28],"we":[23,106,180],"can":[24],"obtain":[25],"visually-appealing":[26],"fused":[27],"which":[29],"further":[30],"facilitate":[31],"subsequent":[32,176,217],"scene":[33],"understanding":[34],"object":[36],"detection":[37],"from":[38],"day":[39],"to":[40,78,128,163,171,185],"night.":[41],"Integrating":[42],"information":[44,90],"while":[45],"simultaneously":[46],"eliminating":[47],"redundancy":[48,81],"is":[49],"a":[50,113,129,136,164,182],"crucial":[51],"challenge":[52],"fusion.":[54],"Most":[55],"available":[57,225],"deep":[58],"learning":[59],"based":[60,111],"methods,":[61],"after":[62],"being":[63],"trained,":[64],"execute":[65],"static":[66],"inference":[67],"on":[68,112,196],"all":[69],"pairs":[70],"images.":[75,102],"They":[76],"struggle":[77],"effectively":[79],"handle":[80],"modality":[83,160],"across":[84],"diverse":[85],"scenarios,":[86],"resulting":[87],"superfluous":[89],"such":[91],"as":[92],"thermal":[93],"noise":[94],"images":[97],"artifacts":[99],"In":[103,169],"this":[104],"paper,":[105],"propose":[107],"an":[108,142],"IVIF":[109],"method":[110],"semantic-guided":[114],"mixture":[115],"multi-feature":[117],"experts,":[118],"where":[119],"multiple":[120],"types":[121],"features":[123,156],"are":[124,148,161],"extracted,":[125],"each":[126,158],"assigned":[127],"dedicated":[130],"expert":[131,143],"network":[132],"specialized":[133],"processing":[135],"specific":[137,165],"type":[138],"features.":[140,193],"Through":[141],"routing":[144],"mechanism,":[145],"these":[146],"experts":[147],"chosen":[149],"dynamically,":[150],"ensuring":[151],"that":[152],"most":[154],"significant":[155],"routed":[162],"group":[166],"experts.":[168],"order":[170],"align":[172],"task":[174],"with":[175],"semantic":[177,218],"segmentation":[178,183,204,219],"task,":[179],"introduce":[181],"head":[184],"semantically":[186],"guide":[187],"selection":[189],"Extensive":[194],"experiments":[195],"five":[197],"benchmarks":[205],"demonstrate":[206],"effectiveness":[208],"our":[210],"method,":[211],"both":[212],"for":[213],"tasks.":[220],"The":[221],"code":[222],"will":[223],"be":[224],"at":[226],"https://github.com/ZhilongNiu/SD-MoMFE.":[227]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-02T13:48:15.688549","created_date":"2026-03-27T00:00:00"}
