{"id":"https://openalex.org/W4413155632","doi":"https://doi.org/10.1109/cvpr52734.2025.02147","title":"MINIMA: Modality Invariant Image Matching","display_name":"MINIMA: Modality Invariant Image Matching","publication_year":2025,"publication_date":"2025-06-10","ids":{"openalex":"https://openalex.org/W4413155632","doi":"https://doi.org/10.1109/cvpr52734.2025.02147"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52734.2025.02147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52734.2025.02147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5018676156","display_name":"Jingbo Ren","orcid":"https://orcid.org/0000-0002-6555-5619"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangwei Ren","raw_affiliation_strings":["Huazhong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107233117","display_name":"Xingyu Jiang","orcid":"https://orcid.org/0009-0006-0282-622X"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyu Jiang","raw_affiliation_strings":["Huazhong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103012164","display_name":"Zizhuo Li","orcid":"https://orcid.org/0000-0003-0986-4924"},"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":"Zizhuo Li","raw_affiliation_strings":["Wuhan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012178361","display_name":"Dingkang Liang","orcid":"https://orcid.org/0000-0003-3035-1373"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingkang Liang","raw_affiliation_strings":["Huazhong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101860857","display_name":"Xin Zhou","orcid":"https://orcid.org/0009-0009-4752-6118"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhou","raw_affiliation_strings":["Huazhong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039363991","display_name":"Xiang Bai","orcid":"https://orcid.org/0000-0002-3449-5940"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Bai","raw_affiliation_strings":["Huazhong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]}],"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":23,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"23059","last_page":"23068"},"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":0.9943000078201294,"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":0.9943000078201294,"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":0.9901000261306763,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9739999771118164,"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/maxima-and-minima","display_name":"Maxima and minima","score":0.7009899616241455},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5683248043060303},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5655724406242371},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5652382969856262},{"id":"https://openalex.org/keywords/image-matching","display_name":"Image matching","score":0.5127338171005249},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5061356425285339},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.42590367794036865},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.41497063636779785},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3431130051612854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3113747239112854},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26440805196762085},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08446195721626282},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07128268480300903}],"concepts":[{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.7009899616241455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5683248043060303},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5655724406242371},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5652382969856262},{"id":"https://openalex.org/C2986492983","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image matching","level":3,"score":0.5127338171005249},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5061356425285339},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.42590367794036865},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.41497063636779785},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3431130051612854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3113747239112854},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26440805196762085},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08446195721626282},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07128268480300903},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52734.2025.02147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52734.2025.02147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W2016574277","https://openalex.org/W2085261163","https://openalex.org/W2471962767","https://openalex.org/W2519683295","https://openalex.org/W2594519801","https://openalex.org/W2745933219","https://openalex.org/W2887116847","https://openalex.org/W2963760790","https://openalex.org/W2996444841","https://openalex.org/W3034275286","https://openalex.org/W3034469298","https://openalex.org/W3040838455","https://openalex.org/W3043075211","https://openalex.org/W3047057232","https://openalex.org/W3118687205","https://openalex.org/W3134976640","https://openalex.org/W3166285241","https://openalex.org/W3181367324","https://openalex.org/W3192835542","https://openalex.org/W3213472242","https://openalex.org/W4213207493","https://openalex.org/W4220840497","https://openalex.org/W4226219104","https://openalex.org/W4280624317","https://openalex.org/W4312594135","https://openalex.org/W4367281499","https://openalex.org/W4379741379","https://openalex.org/W4386065398","https://openalex.org/W4386075582","https://openalex.org/W4386075647","https://openalex.org/W4386633936","https://openalex.org/W4386840486","https://openalex.org/W4387587572","https://openalex.org/W4390872507","https://openalex.org/W4390872673","https://openalex.org/W4391853870","https://openalex.org/W4399121711","https://openalex.org/W4402727359","https://openalex.org/W4402753623","https://openalex.org/W4402753900","https://openalex.org/W4402753948","https://openalex.org/W4402771002","https://openalex.org/W4402772491","https://openalex.org/W4402917026","https://openalex.org/W4403331247","https://openalex.org/W4407499437"],"related_works":["https://openalex.org/W2384918310","https://openalex.org/W2383808867","https://openalex.org/W2372581239","https://openalex.org/W2107893065","https://openalex.org/W2617958085","https://openalex.org/W1509862229","https://openalex.org/W1974208548","https://openalex.org/W2050706403","https://openalex.org/W1973922169","https://openalex.org/W1519745258"],"abstract_inverted_index":{"Image":[0],"matching":[1,29,58,107,120,131,176,193],"for":[2,38,60,163],"both":[3],"cross-view":[4],"and":[5,41,105,133,191,208,215],"cross-modality":[6],"plays":[7],"a":[8,55,87,97,154],"critical":[9],"role":[10],"in":[11],"multimodal":[12,146,165],"perception.":[13],"In":[14,49],"practice,":[15],"the":[16,28,76,113,130,137,144,160,206],"modality":[17,181],"gap":[18,162],"caused":[19],"by":[20,122,143],"different":[21],"imaging":[22],"systems/styles":[23],"poses":[24],"great":[25],"challenges":[26],"to":[27,34,71,183],"task.":[30],"Existing":[31],"works":[32],"try":[33],"extract":[35],"invariant":[36],"features":[37],"specific":[39],"modalities":[40,114],"train":[42,173],"on":[43,178,189],"limited":[44],"datasets,":[45],"showing":[46],"poor":[47],"generalization.":[48],"this":[50,128],"paper,":[51],"we":[52,85,110,151,170],"present":[53],"MINIMA,":[54],"unified":[56],"image":[57,166],"framework":[59],"multiple":[61,101],"cross-modal":[62,185,197],"cases.":[63],"Without":[64],"pursuing":[65],"fancy":[66],"modules,":[67],"our":[68,201],"MINIMA":[69,202],"aims":[70],"enhance":[72],"universal":[73],"performance":[74],"from":[75,115,149],"perspective":[77],"of":[78,124,136],"data":[79,91,161],"scaling":[80],"up.":[81],"For":[82],"such":[83],"purpose,":[84],"propose":[86],"simple":[88],"yet":[89],"effective":[90],"engine":[92],"that":[93,158,200],"can":[94,171,203],"freely":[95],"produce":[96],"large":[98],"dataset":[99,139,157,214],"containing":[100],"modalities,":[102],"rich":[103,118,134],"scenarios,":[104],"accurate":[106],"labels.":[108],"Specifically,":[109],"scale":[111],"up":[112],"cheap":[116],"but":[117],"RGB-only":[119],"data,":[121],"means":[123],"generative":[125],"models.":[126],"Under":[127],"setting,":[129],"labels":[132],"diversity":[135],"RGB":[138],"are":[140,217],"well":[141],"inherited":[142],"generated":[145],"data.":[147],"Benefiting":[148],"this,":[150],"construct":[152],"MD-syn,":[153,169],"new":[155],"comprehensive":[156],"fills":[159],"general":[164],"matching.":[167],"With":[168],"directly":[172],"any":[174],"advanced":[175],"pipeline":[177],"randomly":[179],"selected":[180],"pairs":[182],"obtain":[184],"ability.":[186],"Extensive":[187],"experiments":[188],"in-domain":[190],"zero-shot":[192],"tasks,":[194],"including":[195],"19":[196],"cases,":[198],"demonstrate":[199],"significantly":[204],"outperform":[205],"baselines":[207],"even":[209],"surpass":[210],"modality-specific":[211],"methods.":[212],"The":[213],"code":[216],"available":[218],"at":[219],"https://github.com/LSXI7/MINIMA.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":14},{"year":2025,"cited_by_count":9}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}