{"id":"https://openalex.org/W4312249640","doi":"https://doi.org/10.1145/3556223.3556237","title":"AutoFuse: An Iterative Visible-Infrared Image Fusion Framework Based on Wavelet Autoencoder","display_name":"AutoFuse: An Iterative Visible-Infrared Image Fusion Framework Based on Wavelet Autoencoder","publication_year":2022,"publication_date":"2022-07-29","ids":{"openalex":"https://openalex.org/W4312249640","doi":"https://doi.org/10.1145/3556223.3556237"},"language":"en","primary_location":{"id":"doi:10.1145/3556223.3556237","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3556223.3556237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 10th International Conference on Computer and Communications Management","raw_type":"proceedings-article"},"type":"article","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/A5004785718","display_name":"Junchi Bin","orcid":"https://orcid.org/0000-0002-6493-561X"},"institutions":[{"id":"https://openalex.org/I822440","display_name":"Okanagan University College","ror":"https://ror.org/02mxmh518","country_code":"CA","type":"education","lineage":["https://openalex.org/I822440"]},{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Junchi Bin","raw_affiliation_strings":["School of Enginnering, Okanagan Campus, The University of British Columbia, Canada"],"affiliations":[{"raw_affiliation_string":"School of Enginnering, Okanagan Campus, The University of British Columbia, Canada","institution_ids":["https://openalex.org/I822440","https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100439284","display_name":"Ran Zhang","orcid":"https://orcid.org/0000-0001-8353-5374"},"institutions":[{"id":"https://openalex.org/I822440","display_name":"Okanagan University College","ror":"https://ror.org/02mxmh518","country_code":"CA","type":"education","lineage":["https://openalex.org/I822440"]},{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ran Zhang","raw_affiliation_strings":["School of Enginnering, Okanagan Campus, The University of British Columbia, Canada"],"affiliations":[{"raw_affiliation_string":"School of Enginnering, Okanagan Campus, The University of British Columbia, Canada","institution_ids":["https://openalex.org/I822440","https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060167850","display_name":"Kasun Hewage","orcid":"https://orcid.org/0000-0003-3931-0017"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]},{"id":"https://openalex.org/I822440","display_name":"Okanagan University College","ror":"https://ror.org/02mxmh518","country_code":"CA","type":"education","lineage":["https://openalex.org/I822440"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kasun Hewage","raw_affiliation_strings":["School of Enginnering, Okanagan Campus, The University of British Columbia, Canada"],"affiliations":[{"raw_affiliation_string":"School of Enginnering, Okanagan Campus, The University of British Columbia, Canada","institution_ids":["https://openalex.org/I822440","https://openalex.org/I141945490"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100423697","display_name":"Zheng Liu","orcid":"https://orcid.org/0000-0002-7241-3483"},"institutions":[{"id":"https://openalex.org/I822440","display_name":"Okanagan University College","ror":"https://ror.org/02mxmh518","country_code":"CA","type":"education","lineage":["https://openalex.org/I822440"]},{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Zheng Liu","raw_affiliation_strings":["School of Enginnering, Okanagan Campus, The University of British Columbia, Canada"],"affiliations":[{"raw_affiliation_string":"School of Enginnering, Okanagan Campus, The University of British Columbia, Canada","institution_ids":["https://openalex.org/I822440","https://openalex.org/I141945490"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004785718"],"corresponding_institution_ids":["https://openalex.org/I141945490","https://openalex.org/I822440"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20008407,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"91","last_page":"96"},"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":0.9984999895095825,"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":0.9943000078201294,"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":0.7105143070220947},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7026954293251038},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6179913878440857},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5980799794197083},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5469560623168945},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.500739574432373},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46274831891059875},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4356881380081177},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4309900403022766},{"id":"https://openalex.org/keywords/iterative-and-incremental-development","display_name":"Iterative and incremental development","score":0.4115487039089203},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3626594543457031},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.31721925735473633},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.30992981791496277}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7105143070220947},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7026954293251038},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6179913878440857},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5980799794197083},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5469560623168945},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.500739574432373},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46274831891059875},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4356881380081177},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4309900403022766},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.4115487039089203},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3626594543457031},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.31721925735473633},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.30992981791496277},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3556223.3556237","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3556223.3556237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 10th International Conference on Computer and Communications Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1628236353","https://openalex.org/W2054273865","https://openalex.org/W2062432118","https://openalex.org/W2102166818","https://openalex.org/W2209762097","https://openalex.org/W2266694576","https://openalex.org/W2331441500","https://openalex.org/W2334944314","https://openalex.org/W2522212509","https://openalex.org/W2744070429","https://openalex.org/W2771305881","https://openalex.org/W2772136803","https://openalex.org/W2795156864","https://openalex.org/W2798987894","https://openalex.org/W2909692259","https://openalex.org/W2912147220","https://openalex.org/W2981090054","https://openalex.org/W3024215945","https://openalex.org/W3026329137","https://openalex.org/W3034261282","https://openalex.org/W3104724358","https://openalex.org/W3105639468","https://openalex.org/W3160961055","https://openalex.org/W3174752690","https://openalex.org/W3178918215"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W4386815338","https://openalex.org/W2145836866","https://openalex.org/W2803255133"],"abstract_inverted_index":{"Industrial":[0],"visible":[1,21,33],"imaging":[2,17],"lacks":[3],"reliability":[4],"in":[5,59],"challenging":[6,46,56],"illumination":[7,47],"conditions":[8,48],"such":[9],"as":[10],"background":[11],"clutter":[12],"and":[13,23],"cloud":[14],"cover.":[15],"Modern":[16],"systems":[18],"employ":[19],"both":[20],"(VI)":[22],"infrared":[24],"(IR)":[25],"cameras":[26],"to":[27,57,63,76],"acquire":[28],"illumination-invariant":[29],"information":[30],"beyond":[31],"the":[32,39,92,117,122,129],"spectrum.":[34],"Numerous":[35],"empirical":[36],"studies":[37],"confirm":[38],"benefits":[40],"of":[41,128],"VI-IR":[42,81],"image":[43,82,108,131],"fusion":[44,83],"under":[45],"through":[49],"deep":[50],"learning":[51],"(DL),":[52],"which":[53],"is":[54,102],"still":[55],"implement":[58],"practical":[60],"scenarios":[61],"due":[62],"its":[64],"inefficient":[65],"training":[66],"process.":[67],"The":[68],"study":[69],"proposes":[70],"an":[71],"intuitive":[72],"method,":[73],"namely":[74],"AutoFuse,":[75],"solve":[77],"random-initialized":[78],"parameters":[79],"for":[80,113],"by":[84],"iterative":[85],"optimization.":[86],"Compared":[87],"with":[88],"conventional":[89],"DL-based":[90],"methods,":[91],"AutoFuse":[93,123],"does":[94],"not":[95],"require":[96],"a":[97],"large-scale":[98],"pre-trained":[99],"process":[100],"but":[101],"gradually":[103],"optimized":[104],"over":[105],"iterations":[106],"on":[107],"pairs,":[109],"making":[110],"it":[111],"friendly":[112],"industrial":[114],"deployment.":[115],"Meanwhile,":[116],"experimental":[118],"results":[119],"show":[120],"that":[121],"can":[124],"generate":[125],"competitive":[126],"quality":[127],"fused":[130],"among":[132],"various":[133],"comparative":[134],"baselines.":[135]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}