{"id":"https://openalex.org/W4387968013","doi":"https://doi.org/10.1145/3581783.3612261","title":"Mutual-Guided Dynamic Network for Image Fusion","display_name":"Mutual-Guided Dynamic Network for Image Fusion","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387968013","doi":"https://doi.org/10.1145/3581783.3612261"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3612261","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612261","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","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/A5072679873","display_name":"Yuanshen Guan","orcid":"https://orcid.org/0000-0003-3468-1417"},"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":"Yuanshen Guan","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-3468-1417","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/A5017414351","display_name":"Ruikang Xu","orcid":"https://orcid.org/0000-0001-6662-3671"},"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":"Ruikang Xu","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-6662-3671","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/A5002617843","display_name":"Mingde Yao","orcid":"https://orcid.org/0000-0001-5994-6288"},"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":"Mingde Yao","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-5994-6288","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/A5019918709","display_name":"Lizhi Wang","orcid":"https://orcid.org/0000-0002-1953-3339"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhi Wang","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1953-3339","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008612863","display_name":"Zhiwei Xiong","orcid":"https://orcid.org/0000-0002-9787-7460"},"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":"Zhiwei Xiong","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-9787-7460","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"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":"1779","last_page":"1788"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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":1.0,"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":0.9993000030517578,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9988999962806702,"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/computer-science","display_name":"Computer science","score":0.8083717823028564},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.7668279409408569},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6353319883346558},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5944778919219971},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5909790992736816},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5655314326286316},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5235469341278076},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5052419304847717},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4893757700920105},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4883444011211395},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.485606849193573},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47536128759384155},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4339442253112793},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.358358770608902},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.31644952297210693}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8083717823028564},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.7668279409408569},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6353319883346558},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5944778919219971},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5909790992736816},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5655314326286316},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5235469341278076},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5052419304847717},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4893757700920105},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4883444011211395},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.485606849193573},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47536128759384155},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4339442253112793},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.358358770608902},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.31644952297210693},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3612261","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612261","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G4810870800","display_name":null,"funder_award_id":"62131003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6308808780","display_name":null,"funder_award_id":"62021001","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1995813543","https://openalex.org/W1997596006","https://openalex.org/W1999034606","https://openalex.org/W2002285735","https://openalex.org/W2023353513","https://openalex.org/W2039465985","https://openalex.org/W2054927225","https://openalex.org/W2074907730","https://openalex.org/W2087366239","https://openalex.org/W2099244020","https://openalex.org/W2125188192","https://openalex.org/W2133665775","https://openalex.org/W2136001449","https://openalex.org/W2156483112","https://openalex.org/W2266694576","https://openalex.org/W2590560192","https://openalex.org/W2618530766","https://openalex.org/W2736611505","https://openalex.org/W2783573276","https://openalex.org/W2866634454","https://openalex.org/W2886692902","https://openalex.org/W2963200935","https://openalex.org/W2963787388","https://openalex.org/W2963980268","https://openalex.org/W2989707943","https://openalex.org/W2990293450","https://openalex.org/W2998012573","https://openalex.org/W3010335025","https://openalex.org/W3014859219","https://openalex.org/W3035441328","https://openalex.org/W3040184427","https://openalex.org/W3046194589","https://openalex.org/W3083574456","https://openalex.org/W3101690711","https://openalex.org/W3137432642","https://openalex.org/W3138516171","https://openalex.org/W3139167831","https://openalex.org/W3175063288","https://openalex.org/W3204197760","https://openalex.org/W3207458945","https://openalex.org/W3207918547","https://openalex.org/W4225672218","https://openalex.org/W4283732315","https://openalex.org/W4304092639","https://openalex.org/W4312396555","https://openalex.org/W4312574643","https://openalex.org/W4312798861","https://openalex.org/W4312918841","https://openalex.org/W4386075488"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W2095903272","https://openalex.org/W2391745328","https://openalex.org/W4214649316","https://openalex.org/W2554790198"],"abstract_inverted_index":{"Image":[0],"fusion":[1,141,208],"aims":[2],"to":[3,22,57,144],"generate":[4],"a":[5,72,95,106,112,138,173],"high-quality":[6],"image":[7,79,207],"from":[8,64,122],"multiple":[9,65],"images":[10],"captured":[11],"under":[12],"varying":[13],"conditions.":[14],"The":[15,210],"key":[16],"problem":[17,40],"of":[18,105,151,181],"this":[19,39,68],"task":[20],"is":[21],"preserve":[23],"complementary":[24],"information":[25,30,85,150,184],"while":[26,164],"filtering":[27],"out":[28],"irrelevant":[29],"for":[31,78,83,100,131],"the":[32,117,126,152,158,161,179],"fused":[33],"result.":[34],"However,":[35],"existing":[36,203],"methods":[37,204],"address":[38],"by":[41],"leveraging":[42],"static":[43],"convolutional":[44],"neural":[45],"networks":[46],"(CNNs),":[47],"suffering":[48],"two":[49],"inherent":[50],"limitations":[51],"during":[52],"feature":[53,102,140],"extraction,i.e.,":[54],"being":[55],"unable":[56],"handle":[58],"spatial-variant":[59,129],"contents":[60],"and":[61,90,111,125,148,212],"lacking":[62],"guidance":[63,121],"inputs.":[66,91],"In":[67,134],"paper,":[69],"we":[70,93,136,171],"propose":[71],"novel":[73,174],"mutual-guided":[74,96,107],"dynamic":[75,97,113],"network":[76],"(MGDN)":[77],"fusion,":[80],"which":[81],"allows":[82],"effective":[84],"utilization":[86],"across":[87],"different":[88,123,132],"locations":[89],"Specifically,":[92],"design":[94],"filter":[98,114],"(MGDF)":[99],"adaptive":[101],"extraction,":[103],"composed":[104],"cross-attention":[108],"(MGCA)":[109],"module":[110,143],"predictor,":[115],"where":[116],"former":[118],"incorporates":[119],"additional":[120],"inputs":[124],"latter":[127],"generates":[128],"kernels":[130],"locations.":[133],"addition,":[135],"introduce":[137],"parallel":[139],"(PFF)":[142],"effectively":[145],"fuse":[146],"local":[147],"global":[149],"extracted":[153,162],"features.":[154],"To":[155],"further":[156],"reduce":[157],"redundancy":[159],"among":[160],"features":[163],"simultaneously":[165],"preserving":[166],"their":[167],"shared":[168],"structural":[169],"information,":[170],"devise":[172],"loss":[175],"function":[176],"that":[177,198],"combines":[178],"minimization":[180],"normalized":[182],"mutual":[183],"(NMI)":[185],"with":[186],"an":[187],"estimated":[188],"gradient":[189],"mask.":[190],"Experimental":[191],"results":[192],"on":[193,205],"five":[194],"benchmark":[195],"datasets":[196],"demonstrate":[197],"our":[199],"proposed":[200],"method":[201],"outperforms":[202],"four":[206],"tasks.":[209],"code":[211],"model":[213],"are":[214],"publicly":[215],"available":[216],"at:":[217],"https://github.com/Guanys-dar/MGDN.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":9}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}