{"id":"https://openalex.org/W4403183027","doi":"https://doi.org/10.1109/tpami.2024.3475485","title":"Probing Synergistic High-Order Interaction for Multi-Modal Image Fusion","display_name":"Probing Synergistic High-Order Interaction for Multi-Modal Image Fusion","publication_year":2024,"publication_date":"2024-10-07","ids":{"openalex":"https://openalex.org/W4403183027","doi":"https://doi.org/10.1109/tpami.2024.3475485","pmid":"https://pubmed.ncbi.nlm.nih.gov/39374290"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2024.3475485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3475485","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","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/A5101823681","display_name":"Man Zhou","orcid":"https://orcid.org/0000-0003-2872-605X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Man Zhou","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090160917","display_name":"Naishan Zheng","orcid":"https://orcid.org/0000-0002-7451-8780"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Naishan Zheng","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063558053","display_name":"Xuanhua He","orcid":"https://orcid.org/0009-0004-6637-853X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanhua He","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075013625","display_name":"Danfeng Hong","orcid":"https://orcid.org/0000-0002-3212-9584"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danfeng Hong","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106124934","display_name":"Jocelyn Chanussot","orcid":"https://orcid.org/0000-0003-4817-2875"},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210101348","display_name":"Centre Inria de l'Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/00n8d6z93","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210101348"]},{"id":"https://openalex.org/I4210149092","display_name":"Laboratoire Jean Kuntzmann","ror":"https://ror.org/04ett5b41","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210149092","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jocelyn Chanussot","raw_affiliation_strings":["Inria, CNRS, Grenoble INP, LJK, Univ. Grenoble Alpes, Grenoble, France","Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK, Grenoble, France"],"affiliations":[{"raw_affiliation_string":"Inria, CNRS, Grenoble INP, LJK, Univ. Grenoble Alpes, Grenoble, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210149092","https://openalex.org/I4210101348","https://openalex.org/I899635006","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK, Grenoble, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210149092","https://openalex.org/I4210101348","https://openalex.org/I899635006","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101823681"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"],"apc_list":null,"apc_paid":null,"fwci":4.0904,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.94534855,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"47","issue":"2","first_page":"840","last_page":"857"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9979000091552734,"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":0.9979000091552734,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9217000007629395,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6290925741195679},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6207073926925659},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.6120975017547607},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5347282886505127},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.4899825155735016},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4644842743873596},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4417426288127899},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44077789783477783}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6290925741195679},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6207073926925659},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6120975017547607},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5347282886505127},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.4899825155735016},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4644842743873596},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4417426288127899},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44077789783477783},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2024.3475485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3475485","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:39374290","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39374290","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 pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:HAL:hal-05475947v1","is_oa":false,"landing_page_url":"https://inria.hal.science/hal-05475947","pdf_url":null,"source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025, 47 (2), pp.840-857. &#x27E8;10.1109/TPAMI.2024.3475485&#x27E9;","raw_type":"Journal articles"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5484287860","display_name":null,"funder_award_id":"42271350","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G993160810","display_name":null,"funder_award_id":"42241109","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":95,"referenced_works":["https://openalex.org/W1871293042","https://openalex.org/W1964641132","https://openalex.org/W1979852206","https://openalex.org/W1985275570","https://openalex.org/W2000323021","https://openalex.org/W2001800591","https://openalex.org/W2009758395","https://openalex.org/W2033557294","https://openalex.org/W2054273865","https://openalex.org/W2070371541","https://openalex.org/W2081195086","https://openalex.org/W2091484864","https://openalex.org/W2112693869","https://openalex.org/W2121058967","https://openalex.org/W2146103513","https://openalex.org/W2146353910","https://openalex.org/W2153777140","https://openalex.org/W2171108951","https://openalex.org/W2194775991","https://openalex.org/W2296385512","https://openalex.org/W2462592242","https://openalex.org/W2474462684","https://openalex.org/W2519236071","https://openalex.org/W2540081824","https://openalex.org/W2559870345","https://openalex.org/W2751011928","https://openalex.org/W2752782242","https://openalex.org/W2757470902","https://openalex.org/W2766070280","https://openalex.org/W2777033955","https://openalex.org/W2798987894","https://openalex.org/W2896435145","https://openalex.org/W2898832590","https://openalex.org/W2901978237","https://openalex.org/W2912147220","https://openalex.org/W2951876139","https://openalex.org/W2962916298","https://openalex.org/W2963183385","https://openalex.org/W2963530785","https://openalex.org/W2965595241","https://openalex.org/W2998012573","https://openalex.org/W3011768656","https://openalex.org/W3012152103","https://openalex.org/W3014880876","https://openalex.org/W3031254450","https://openalex.org/W3034421924","https://openalex.org/W3035467948","https://openalex.org/W3040662573","https://openalex.org/W3046194589","https://openalex.org/W3048794210","https://openalex.org/W3081397212","https://openalex.org/W3108042295","https://openalex.org/W3121629662","https://openalex.org/W3121751387","https://openalex.org/W3133700567","https://openalex.org/W3138516171","https://openalex.org/W3150135133","https://openalex.org/W3158080681","https://openalex.org/W3159235206","https://openalex.org/W3172472472","https://openalex.org/W3176750081","https://openalex.org/W3190808861","https://openalex.org/W4220893768","https://openalex.org/W4283732315","https://openalex.org/W4283815286","https://openalex.org/W4285600783","https://openalex.org/W4286361941","https://openalex.org/W4288045761","https://openalex.org/W4289752563","https://openalex.org/W4304142230","https://openalex.org/W4308310215","https://openalex.org/W4312402232","https://openalex.org/W4312594135","https://openalex.org/W4312918841","https://openalex.org/W4313009532","https://openalex.org/W4313071068","https://openalex.org/W4366352735","https://openalex.org/W4376126900","https://openalex.org/W4385768166","https://openalex.org/W4386065398","https://openalex.org/W4386075547","https://openalex.org/W4390872911","https://openalex.org/W4391992568","https://openalex.org/W4393240973","https://openalex.org/W4402716157","https://openalex.org/W4402716347","https://openalex.org/W6623043969","https://openalex.org/W6631230401","https://openalex.org/W6685078114","https://openalex.org/W6716109767","https://openalex.org/W6746735679","https://openalex.org/W6784333009","https://openalex.org/W6790434664","https://openalex.org/W6840866624","https://openalex.org/W6850536660"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2095903272","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331"],"abstract_inverted_index":{"Multi-modal":[0],"image":[1,8,211,219],"fusion":[2,212],"aims":[3],"to":[4,68,98,134,188],"generate":[5],"a":[6,61],"fused":[7],"by":[9,106,166],"integrating":[10],"and":[11,43,73,101,109,116,175,215,217],"distinguishing":[12],"the":[13,22,49,78,136,154,161,167],"cross-modality":[14,162],"complementary":[15,111],"information":[16,163,173,177],"from":[17],"multiple":[18],"source":[19,141],"images.":[20],"While":[21],"cross-attention":[23],"mechanism":[24],"with":[25,125],"global":[26,74,99,145],"spatial":[27,35,42,71,90],"interactions":[28,39,92,124,133,182],"appears":[29],"promising,":[30],"it":[31],"only":[32],"captures":[33],"second-order":[34],"interactions,":[36,100],"neglecting":[37],"higher-order":[38],"in":[40,193,207],"both":[41,114],"channel":[44,123,132],"dimensions.":[45],"This":[46],"limitation":[47],"hampers":[48],"exploitation":[50],"of":[51,138,153],"synergies":[52],"between":[53,77,140],"multi-modalities.":[54],"To":[55],"bridge":[56],"this":[57],"gap,":[58],"we":[59,88,129],"introduce":[60,149],"Synergistic":[62],"High-order":[63],"Interaction":[64],"Paradigm":[65],"(SHIP),":[66],"designed":[67],"systematically":[69],"investigate":[70],"fine-grained":[72,91],"statistics":[75,127],"collaborations":[76],"multi-modal":[79,190,210],"images":[80,142],"across":[81,204],"two":[82,208],"fundamental":[83],"dimensions:":[84],"1)":[85],"Spatial":[86],"dimension:":[87,120],"construct":[89],"through":[93,201],"element-wise":[94],"multiplication,":[95],"mathematically":[96],"equivalent":[97],"then":[102],"foster":[103],"high-order":[104,131,181],"formats":[105],"iteratively":[107],"aggregating":[108],"evolving":[110,170],"information,":[112],"enhancing":[113],"efficiency":[115],"flexibility.":[117],"2)":[118],"Channel":[119],"expanding":[121],"on":[122,144],"first-order":[126],"(mean),":[128],"devise":[130],"facilitate":[135],"discernment":[137],"inter-dependencies":[139],"based":[143],"statistics.":[146],"We":[147],"further":[148],"an":[150],"enhanced":[151],"version":[152],"SHIP":[155],"model,":[156],"called":[157],"SHIP++":[158],"that":[159],"enhances":[160,184],"interaction":[164],"representation":[165],"cross-order":[168,172],"attention":[169],"mechanism,":[171],"integration,":[174],"residual":[176],"memorizing":[178],"mechanism.":[179],"Harnessing":[180],"significantly":[183],"our":[185],"model's":[186],"ability":[187],"exploit":[189],"synergies,":[191],"leading":[192],"superior":[194],"performance":[195],"over":[196],"state-of-the-art":[197],"alternatives,":[198],"as":[199],"shown":[200],"comprehensive":[202],"experiments":[203],"various":[205],"benchmarks":[206],"significant":[209],"tasks:":[213],"pan-sharpening,":[214],"infrared":[216],"visible":[218],"fusion.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
