{"id":"https://openalex.org/W4386159375","doi":"https://doi.org/10.23919/fusion52260.2023.10224104","title":"MobileFuse: Multimodal Image Fusion at the Edge","display_name":"MobileFuse: Multimodal Image Fusion at the Edge","publication_year":2023,"publication_date":"2023-06-28","ids":{"openalex":"https://openalex.org/W4386159375","doi":"https://doi.org/10.23919/fusion52260.2023.10224104"},"language":"en","primary_location":{"id":"doi:10.23919/fusion52260.2023.10224104","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/fusion52260.2023.10224104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 26th International Conference on Information Fusion (FUSION)","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/A5051063558","display_name":"Hughes Perreault","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095320","display_name":"Thales (Canada)","ror":"https://ror.org/00nnd3206","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210095320","https://openalex.org/I4210140930"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"H. Perreault","raw_affiliation_strings":["Thales Group, Thales Digital Solutions,Qu&#x00E9;bec,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thales Group, Thales Digital Solutions,Qu&#x00E9;bec,Canada","institution_ids":["https://openalex.org/I4210095320"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002845225","display_name":"Beno\u00eet Debaque","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095320","display_name":"Thales (Canada)","ror":"https://ror.org/00nnd3206","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210095320","https://openalex.org/I4210140930"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"B. Debaque","raw_affiliation_strings":["Thales Group, Thales Digital Solutions,Qu&#x00E9;bec,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thales Group, Thales Digital Solutions,Qu&#x00E9;bec,Canada","institution_ids":["https://openalex.org/I4210095320"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061294853","display_name":"R. David","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095320","display_name":"Thales (Canada)","ror":"https://ror.org/00nnd3206","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210095320","https://openalex.org/I4210140930"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"R. David","raw_affiliation_strings":["Thales Group, Thales Digital Solutions,Qu&#x00E9;bec,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thales Group, Thales Digital Solutions,Qu&#x00E9;bec,Canada","institution_ids":["https://openalex.org/I4210095320"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091887701","display_name":"M-A. Drouin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159778","display_name":"National Research Council Canada","ror":"https://ror.org/04mte1k06","country_code":"CA","type":"government","lineage":["https://openalex.org/I4210159778"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M-A. Drouin","raw_affiliation_strings":["National Research Council of Canada,Ottawa,Canada","National Research Council of Canada, Ottawa, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research Council of Canada,Ottawa,Canada","institution_ids":["https://openalex.org/I4210159778"]},{"raw_affiliation_string":"National Research Council of Canada, Ottawa, Canada","institution_ids":["https://openalex.org/I4210159778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089590102","display_name":"Nicolas Duclos-Hindie","orcid":"https://orcid.org/0000-0001-5663-422X"},"institutions":[{"id":"https://openalex.org/I4210095320","display_name":"Thales (Canada)","ror":"https://ror.org/00nnd3206","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210095320","https://openalex.org/I4210140930"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"N. Duclos-Hindi\u00e9","raw_affiliation_strings":["Thales Group, Thales Digital Solutions,Qu&#x00E9;bec,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thales Group, Thales Digital Solutions,Qu&#x00E9;bec,Canada","institution_ids":["https://openalex.org/I4210095320"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062938524","display_name":"S\u00e9bastien Roy","orcid":"https://orcid.org/0000-0002-1262-9485"},"institutions":[{"id":"https://openalex.org/I1297460800","display_name":"Defence Research and Development Canada","ror":"https://ror.org/00hgy8d33","country_code":"CA","type":"government","lineage":["https://openalex.org/I1297460800","https://openalex.org/I1336338359","https://openalex.org/I2802286613"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"S. Roy","raw_affiliation_strings":["DRDC Valcartier Research Centre,Qu&#x00E9;bec,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DRDC Valcartier Research Centre,Qu&#x00E9;bec,Canada","institution_ids":["https://openalex.org/I1297460800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15965167,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9995999932289124,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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":0.8476089239120483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7078579068183899},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.6779447793960571},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5903982520103455},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5521553158760071},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5328125953674316},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5210287570953369},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47040849924087524},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.45992550253868103},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42644989490509033},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4018058478832245}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8476089239120483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7078579068183899},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6779447793960571},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5903982520103455},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5521553158760071},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5328125953674316},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5210287570953369},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47040849924087524},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.45992550253868103},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42644989490509033},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4018058478832245},{"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/fusion52260.2023.10224104","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/fusion52260.2023.10224104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 26th International Conference on Information Fusion (FUSION)","raw_type":"proceedings-article"},{"id":"pmh:oai:cisti-icist.nrc-cnrc.ca:cistinparc:0466ef11-608a-4c5b-9f3e-b0d5527cdd26","is_oa":false,"landing_page_url":"https://nrc-publications.canada.ca/eng/view/object/?id=0466ef11-608a-4c5b-9f3e-b0d5527cdd26","pdf_url":null,"source":{"id":"https://openalex.org/S7407055245","display_name":"NPARC","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":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1969299043","https://openalex.org/W2003683977","https://openalex.org/W2037227137","https://openalex.org/W2039094769","https://openalex.org/W2119144962","https://openalex.org/W2131956137","https://openalex.org/W2286365479","https://openalex.org/W2306859282","https://openalex.org/W2586654419","https://openalex.org/W2747590145","https://openalex.org/W2764043458","https://openalex.org/W2792114281","https://openalex.org/W2883780447","https://openalex.org/W2896409484","https://openalex.org/W2903723623","https://openalex.org/W2947841567","https://openalex.org/W2950648852","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2963363373","https://openalex.org/W2963787388","https://openalex.org/W2982083293","https://openalex.org/W2995463996","https://openalex.org/W2999803881","https://openalex.org/W3023991509","https://openalex.org/W3030921250","https://openalex.org/W3035441328","https://openalex.org/W3035503663","https://openalex.org/W3036032447","https://openalex.org/W3039415429","https://openalex.org/W3042846307","https://openalex.org/W3066757951","https://openalex.org/W3083574456","https://openalex.org/W3083923056","https://openalex.org/W3102411220","https://openalex.org/W3126855404","https://openalex.org/W3154919212","https://openalex.org/W3197599997","https://openalex.org/W3206506760","https://openalex.org/W3216987090","https://openalex.org/W4220927862","https://openalex.org/W4229066876","https://openalex.org/W4287828539","https://openalex.org/W4292347839","https://openalex.org/W4293094115","https://openalex.org/W4294891241","https://openalex.org/W4295312788","https://openalex.org/W4297775537","https://openalex.org/W4312594135","https://openalex.org/W4318147653","https://openalex.org/W6677580257","https://openalex.org/W6696004547","https://openalex.org/W6733393715","https://openalex.org/W6737664043","https://openalex.org/W6745148473","https://openalex.org/W6753767121","https://openalex.org/W6755843862","https://openalex.org/W6762854505","https://openalex.org/W6766978945","https://openalex.org/W6771852177","https://openalex.org/W6774302960"],"related_works":["https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2047973478","https://openalex.org/W2067569035","https://openalex.org/W2090985514","https://openalex.org/W2113666009","https://openalex.org/W2012531322","https://openalex.org/W2402761219","https://openalex.org/W2919827088","https://openalex.org/W2725429296"],"abstract_inverted_index":{"The":[0,90,123],"fusion":[1,131,197],"of":[2,11,22,30,76,135],"multiple":[3],"images":[4,142],"from":[5,143,157],"different":[6,144],"modalities":[7],"is":[8,93,132,146,159],"the":[9,19,27,38,43,53,57,116,133,196],"process":[10],"generating":[12,153],"a":[13,79,94,147,154,169],"single":[14],"output":[15],"image":[16,33,55,130],"that":[17,183],"combines":[18],"useful":[20],"information":[21,48],"all":[23,62],"input":[24,32],"images.":[25,63,180],"Ideally,":[26],"information-rich":[28],"content":[29],"each":[31],"would":[34],"be":[35,50,105],"preserved,":[36],"and":[37,98,152,171],"cognitive":[39],"effort":[40],"required":[41,59],"by":[42],"user":[44,117],"to":[45,60,174],"extract":[46],"this":[47,164],"should":[49],"smaller":[51],"on":[52],"fused":[54],"than":[56,190],"one":[58],"examine":[61],"We":[64,181],"propose":[65,168],"MobileFuse,":[66],"an":[67,120],"edge":[68,185],"computing":[69],"method":[70],"targeted":[71],"at":[72],"processing":[73],"large":[74],"amount":[75],"imagery":[77],"in":[78,107,126,150],"bandwidth":[80],"limited":[81],"environment":[82],"using":[83,178],"depthwise":[84],"separable":[85],"Deep":[86],"Neural":[87],"Networks":[88],"(DNNs).":[89],"proposed":[91],"approach":[92,103],"hybrid":[95],"between":[96],"generative":[97],"blending":[99],"based":[100],"methods.":[101],"Our":[102],"can":[104,187],"applied":[106],"various":[108],"fields":[109],"which":[110],"require":[111],"low":[112],"latency":[113],"interaction":[114],"with":[115,119,137],"or":[118],"autonomous":[121],"system.":[122],"main":[124],"challenge":[125,149],"training":[127,176],"DNNs":[128],"for":[129],"sparsity":[134],"data":[136],"representative":[138],"ground":[139,155],"truth.":[140],"Registering":[141],"sensors":[145],"major":[148],"itself,":[151],"truth":[156],"them":[158],"another":[160],"massive":[161],"one.":[162],"For":[163],"reason,":[165],"we":[166],"also":[167],"multi-focus":[170],"multi-lighting":[172],"framework":[173],"generate":[175],"dataset":[177],"unregistered":[179],"show":[182],"our":[184],"network":[186],"perform":[188],"faster":[189],"its":[191],"state-of-the-art":[192],"baseline,":[193],"while":[194],"improving":[195],"quality.":[198]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
