{"id":"https://openalex.org/W4408352148","doi":"https://doi.org/10.1109/icassp49660.2025.10889254","title":"VLIMNet: A Visible Light And Infrared Image Matching Network Based On Segment Anything Model And SuperPoint","display_name":"VLIMNet: A Visible Light And Infrared Image Matching Network Based On Segment Anything Model And SuperPoint","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408352148","doi":"https://doi.org/10.1109/icassp49660.2025.10889254"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10889254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889254","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":"conference-paper","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/A5020183585","display_name":"Zhongyuan Chen","orcid":"https://orcid.org/0000-0001-6887-2268"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyuan Chen","raw_affiliation_strings":["Harbin Institute of Technology,Faculty of Computing,Harbin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Faculty of Computing,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100393410","display_name":"Zhan Zhang","orcid":"https://orcid.org/0000-0001-7419-4272"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhan Zhang","raw_affiliation_strings":["Harbin Institute of Technology,Faculty of Computing,Harbin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Faculty of Computing,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017171775","display_name":"Decheng Zuo","orcid":"https://orcid.org/0000-0002-8386-2858"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Decheng Zuo","raw_affiliation_strings":["Harbin Institute of Technology,Faculty of Computing,Harbin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Faculty of Computing,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100387096","display_name":"Ning Wang","orcid":"https://orcid.org/0000-0001-8903-8790"},"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":"Ning Wang","raw_affiliation_strings":["Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048403437","display_name":"Liufeng Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liufeng Fan","raw_affiliation_strings":["Harbin Institute of Technology,Faculty of Computing,Harbin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Faculty of Computing,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100321222","display_name":"Zhiwei Liu","orcid":"https://orcid.org/0000-0001-8045-9177"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Liu","raw_affiliation_strings":["Harbin Institute of Technology,Faculty of Computing,Harbin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Faculty of Computing,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9498000144958496,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9498000144958496,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9297999739646912,"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":0.9024999737739563,"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":0.6298581957817078},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5672714114189148},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5519306063652039},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5211722254753113},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.483389288187027},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4510658085346222},{"id":"https://openalex.org/keywords/image-matching","display_name":"Image matching","score":0.4106196463108063},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.2041444182395935},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11550033092498779},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10394471883773804}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6298581957817078},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5672714114189148},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5519306063652039},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5211722254753113},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.483389288187027},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4510658085346222},{"id":"https://openalex.org/C2986492983","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image matching","level":3,"score":0.4106196463108063},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2041444182395935},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11550033092498779},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10394471883773804},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10889254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889254","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":[{"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":29,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W2023011715","https://openalex.org/W2033819227","https://openalex.org/W2314720829","https://openalex.org/W2774839435","https://openalex.org/W2798741430","https://openalex.org/W2894971516","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W3034275286","https://openalex.org/W3043075211","https://openalex.org/W3096947210","https://openalex.org/W3166285241","https://openalex.org/W3175295430","https://openalex.org/W3177085432","https://openalex.org/W3203518786","https://openalex.org/W4206713196","https://openalex.org/W4285600783","https://openalex.org/W4312446817","https://openalex.org/W4312594135","https://openalex.org/W4313156423","https://openalex.org/W4313267411","https://openalex.org/W4319969359","https://openalex.org/W4390872507","https://openalex.org/W4390874575","https://openalex.org/W6718003766","https://openalex.org/W6764386301","https://openalex.org/W6770485707","https://openalex.org/W6784333009"],"related_works":["https://openalex.org/W2384918310","https://openalex.org/W2383808867","https://openalex.org/W2372581239","https://openalex.org/W2391245565","https://openalex.org/W2107893065","https://openalex.org/W2617958085","https://openalex.org/W1509862229","https://openalex.org/W1974208548","https://openalex.org/W2050706403","https://openalex.org/W1973922169"],"abstract_inverted_index":{"This":[0,58],"paper":[1],"introduces":[2],"a":[3,30,114,124,168],"novel":[4],"method":[5,165],"for":[6],"matching":[7,108,135,157,172,179],"visible":[8,55,150],"light":[9,56,151],"and":[10,17,96,103,149],"infrared":[11,47,148],"images,":[12],"termed":[13],"the":[14,24,37,41,60,68,72,82,87,92,121,145,176],"Visible":[15],"Light":[16],"Infrared":[18],"Image":[19],"Matching":[20],"Network":[21],"(VLIMNet).":[22],"In":[23],"image":[25,69,152],"encoding":[26],"stage,":[27,84],"we":[28,66,85],"incorporate":[29],"generative":[31],"architecture-based":[32],"modality":[33,63],"transformation":[34],"network":[35,127],"after":[36],"SuperPoint":[38],"encoder,":[39],"enabling":[40],"local":[42,93],"geometric":[43,94],"features":[44],"extracted":[45],"from":[46],"images":[48,158],"to":[49,76,100,133,175],"more":[50],"closely":[51],"resemble":[52],"those":[53],"of":[54,62,71,147],"images.":[57],"reduces":[59],"impact":[61],"differences.":[64,162],"Simultaneously,":[65],"utilize":[67],"encoder":[70],"Segment":[73],"Anything":[74],"Model":[75],"obtain":[77,101],"global":[78,88],"semantic":[79,89],"descriptors.":[80],"During":[81],"decoding":[83,99],"fuse":[86],"descriptors":[90,95],"with":[91,128,159],"perform":[97],"joint":[98],"keypoints":[102],"new":[104],"feature":[105],"vectors.":[106],"The":[107],"process":[109],"is":[110],"computed":[111],"by":[112],"solving":[113],"differentiable":[115],"optimal":[116],"transport":[117],"problem":[118],"based":[119],"on":[120],"LightGlue":[122],"network,":[123],"graph":[125],"neural":[126],"an":[129],"attention":[130],"mechanism.":[131],"Compared":[132],"other":[134],"models,":[136],"our":[137,164],"approach":[138],"demonstrates":[139],"improvements":[140],"across":[141],"various":[142],"metrics":[143],"in":[144,156,171],"domain":[146],"matching,":[153],"particularly":[154],"excelling":[155],"significant":[160],"pose":[161],"Specifically,":[163],"achieves":[166],"approximately":[167],"5%":[169],"improvement":[170],"accuracy":[173,178],"compared":[174],"highest":[177],"methods.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}