{"id":"https://openalex.org/W4388820247","doi":"https://doi.org/10.1109/tpami.2023.3334624","title":"Deep M2CDL: Deep Multi-Scale Multi-Modal Convolutional Dictionary Learning Network","display_name":"Deep M2CDL: Deep Multi-Scale Multi-Modal Convolutional Dictionary Learning Network","publication_year":2023,"publication_date":"2023-11-20","ids":{"openalex":"https://openalex.org/W4388820247","doi":"https://doi.org/10.1109/tpami.2023.3334624","pmid":"https://pubmed.ncbi.nlm.nih.gov/37983156"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2023.3334624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3334624","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/A5040495514","display_name":"Xin Deng","orcid":"https://orcid.org/0000-0002-4708-6572"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Deng","raw_affiliation_strings":["School of Cyber Science and Technology, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4708-6572","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100610909","display_name":"Jingyi Xu","orcid":"https://orcid.org/0000-0003-1836-741X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyi Xu","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078657407","display_name":"Fangyuan Gao","orcid":"https://orcid.org/0000-0002-1225-2067"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangyuan Gao","raw_affiliation_strings":["School of Cyber Science and Technology, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1225-2067","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101672347","display_name":"Xiancheng Sun","orcid":"https://orcid.org/0009-0004-5264-8439"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiancheng Sun","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-5264-8439","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079385534","display_name":"Mai Xu","orcid":"https://orcid.org/0000-0002-0277-3301"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mai Xu","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0277-3301","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":5.915,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.97389907,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"46","issue":"5","first_page":"2770","last_page":"2787"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.9883000254631042,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.967199981212616,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7689694166183472},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7516590356826782},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7455815076828003},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6580883860588074},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5992636680603027},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5516376495361328},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41345566511154175},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32380783557891846},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.0657828152179718}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7689694166183472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7516590356826782},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7455815076828003},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6580883860588074},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5992636680603027},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5516376495361328},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41345566511154175},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32380783557891846},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0657828152179718},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2023.3334624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3334624","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:37983156","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37983156","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}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1034992445","display_name":null,"funder_award_id":"62372024","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3643615419","display_name":null,"funder_award_id":"JQ20020","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G388300612","display_name":null,"funder_award_id":"62250001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6127711580","display_name":null,"funder_award_id":"62231002","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"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":93,"referenced_works":["https://openalex.org/W1513100184","https://openalex.org/W1580436348","https://openalex.org/W1897123318","https://openalex.org/W1901129140","https://openalex.org/W1948643287","https://openalex.org/W1956571368","https://openalex.org/W1999034606","https://openalex.org/W2009758395","https://openalex.org/W2030978325","https://openalex.org/W2054273865","https://openalex.org/W2069012577","https://openalex.org/W2074907730","https://openalex.org/W2081195086","https://openalex.org/W2099321050","https://openalex.org/W2099749431","https://openalex.org/W2105119246","https://openalex.org/W2125188192","https://openalex.org/W2133255058","https://openalex.org/W2133665775","https://openalex.org/W2146353910","https://openalex.org/W2150066425","https://openalex.org/W2160451035","https://openalex.org/W2168783614","https://openalex.org/W2291143146","https://openalex.org/W2345557152","https://openalex.org/W2418999752","https://openalex.org/W2461851607","https://openalex.org/W2492439964","https://openalex.org/W2500602996","https://openalex.org/W2508457857","https://openalex.org/W2520322935","https://openalex.org/W2521490062","https://openalex.org/W2532801510","https://openalex.org/W2552808051","https://openalex.org/W2559870345","https://openalex.org/W2741137940","https://openalex.org/W2741192765","https://openalex.org/W2760586727","https://openalex.org/W2773809991","https://openalex.org/W2776574544","https://openalex.org/W2783573276","https://openalex.org/W2803751491","https://openalex.org/W2811308087","https://openalex.org/W2886692902","https://openalex.org/W2895323721","https://openalex.org/W2897501237","https://openalex.org/W2901572775","https://openalex.org/W2902747464","https://openalex.org/W2904488225","https://openalex.org/W2941380944","https://openalex.org/W2947338419","https://openalex.org/W2950290849","https://openalex.org/W2951971897","https://openalex.org/W2963372104","https://openalex.org/W2963610452","https://openalex.org/W2963787388","https://openalex.org/W2963980268","https://openalex.org/W2964007263","https://openalex.org/W2977745911","https://openalex.org/W2998785217","https://openalex.org/W3014859219","https://openalex.org/W3038079672","https://openalex.org/W3048794210","https://openalex.org/W3049253011","https://openalex.org/W3083484791","https://openalex.org/W3088623196","https://openalex.org/W3100063120","https://openalex.org/W3101690711","https://openalex.org/W3122285102","https://openalex.org/W3131111098","https://openalex.org/W3143068962","https://openalex.org/W3150318909","https://openalex.org/W3168461189","https://openalex.org/W3169761664","https://openalex.org/W3195428940","https://openalex.org/W3200231920","https://openalex.org/W3203934469","https://openalex.org/W3213749391","https://openalex.org/W4205865775","https://openalex.org/W4206728077","https://openalex.org/W4225694859","https://openalex.org/W4225965251","https://openalex.org/W4226293332","https://openalex.org/W4283732315","https://openalex.org/W4285128412","https://openalex.org/W4309730479","https://openalex.org/W4312396555","https://openalex.org/W4312440143","https://openalex.org/W4312526798","https://openalex.org/W4312678820","https://openalex.org/W4382240320","https://openalex.org/W4382462210","https://openalex.org/W6766871698"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W4391621807","https://openalex.org/W2611989081","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W4380075502"],"abstract_inverted_index":{"For":[0],"multi-modal":[1,37,59,108,113,205],"image":[2,79,109,114],"processing,":[3],"network":[4,22,119,143],"interpretability":[5,219],"is":[6,23,70,174],"essential":[7],"due":[8],"to":[9,24,76],"the":[10,35,48,99,129,133,153,162,167,187,204,213,217,221],"complicated":[11],"dependency":[12],"across":[13],"modalities.":[14],"Recently,":[15],"a":[16,57,73,82,88,177],"promising":[17],"research":[18],"direction":[19],"for":[20,106],"interpretable":[21],"incorporate":[25],"dictionary":[26,38,61,154,209],"learning":[27,30,39,62],"into":[28],"deep":[29],"through":[31,161],"unfolding":[32],"strategy.":[33],"However,":[34],"existing":[36],"models":[40],"are":[41,159],"both":[42,107,152,195],"single-layer":[43],"and":[44,112,155,182,197,208],"single-scale,":[45],"which":[46,69,140,185,215],"restricts":[47],"representation":[49],"ability.":[50],"In":[51,199],"this":[52],"paper,":[53],"we":[54,86,201],"first":[55],"introduce":[56],"multi-scale":[58],"convolutional":[60],"(M":[63],"<sup":[64,93,101,123,135,170,223],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[65,94,102,124,136,171,224],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[66,95,103,125,137,172,225],"CDL)":[67],"model,":[68,139],"performed":[71],"in":[72,81],"multi-layer":[74],"strategy,":[75],"associate":[77],"different":[78],"modalities":[80],"coarse-to-fine":[83],"manner.":[84],"Then,":[85],"propose":[87],"unified":[89],"framework":[90],"namely":[91],"DeepM":[92,122,169,222],"CDL":[96,104,126,138,173,226],"derived":[97],"from":[98,149,212],"M":[100,134],"model":[105],"restoration":[110],"(MIR)":[111],"fusion":[115],"(MIF)":[116],"tasks.":[117],"The":[118,164],"architecture":[120],"of":[121,132,166,180,189,220],"fully":[127],"matches":[128],"optimization":[130],"steps":[131],"makes":[141],"each":[142],"module":[144],"with":[145],"good":[146,218],"interpretability.":[147],"Different":[148],"handcrafted":[150],"priors,":[151],"sparse":[156,206],"feature":[157],"priors":[158],"learned":[160,211],"network.":[163,227],"performance":[165],"proposed":[168],"evaluated":[175],"on":[176],"wide":[178],"variety":[179],"MIR":[181],"MIF":[183],"tasks,":[184],"shows":[186],"superiority":[188],"it":[190],"over":[191],"many":[192],"state-of-the-art":[193],"methods":[194],"quantitatively":[196],"qualitatively.":[198],"addition,":[200],"also":[202],"visualize":[203],"features":[207],"filters":[210],"network,":[214],"demonstrates":[216]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2023-11-21T00:00:00"}
