{"id":"https://openalex.org/W4304015036","doi":"https://doi.org/10.1145/3503161.3548117","title":"Learning Dual Convolutional Dictionaries for Image De-raining","display_name":"Learning Dual Convolutional Dictionaries for Image De-raining","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4304015036","doi":"https://doi.org/10.1145/3503161.3548117"},"language":"en","primary_location":{"id":"doi:10.1145/3503161.3548117","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3548117","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","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/A5015696501","display_name":"Chengjie Ge","orcid":null},"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":true,"raw_author_name":"Chengjie Ge","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/A5079007635","display_name":"Xueyang Fu","orcid":"https://orcid.org/0000-0001-8036-4071"},"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":"Xueyang Fu","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":"last","author":{"id":"https://openalex.org/A5003217535","display_name":"Zheng-Jun Zha","orcid":"https://orcid.org/0000-0003-2510-8993"},"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":"Zheng-Jun Zha","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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015696501"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.3592,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.67295955,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"6636","last_page":"6644"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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":0.9990000128746033,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.9315418004989624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.798285722732544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7437931299209595},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7013741731643677},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6922597289085388},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6821249723434448},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5606078505516052},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5151859521865845},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4416614770889282},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.43738555908203125},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4156947731971741},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41486111283302307},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4140774607658386},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3525606691837311},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0834391713142395}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9315418004989624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.798285722732544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7437931299209595},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7013741731643677},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6922597289085388},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6821249723434448},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5606078505516052},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5151859521865845},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4416614770889282},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.43738555908203125},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4156947731971741},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41486111283302307},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4140774607658386},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3525606691837311},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0834391713142395},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3503161.3548117","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3548117","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1906770428","https://openalex.org/W2050849575","https://openalex.org/W2077646121","https://openalex.org/W2100705753","https://openalex.org/W2117259536","https://openalex.org/W2121396509","https://openalex.org/W2130248603","https://openalex.org/W2130975789","https://openalex.org/W2133665775","https://openalex.org/W2160547390","https://openalex.org/W2194775991","https://openalex.org/W2209874411","https://openalex.org/W2509784253","https://openalex.org/W2512211375","https://openalex.org/W2611452721","https://openalex.org/W2738743584","https://openalex.org/W2740982616","https://openalex.org/W2753548330","https://openalex.org/W2776500869","https://openalex.org/W2780930362","https://openalex.org/W2887181327","https://openalex.org/W2896911342","https://openalex.org/W2912435603","https://openalex.org/W2913360047","https://openalex.org/W2962778775","https://openalex.org/W2963017889","https://openalex.org/W2963641969","https://openalex.org/W2963866045","https://openalex.org/W2964046397","https://openalex.org/W2964212750","https://openalex.org/W2998249728","https://openalex.org/W3034972231","https://openalex.org/W3035250394","https://openalex.org/W3035302306","https://openalex.org/W3035731588","https://openalex.org/W3098494876","https://openalex.org/W3103586216","https://openalex.org/W3104795559","https://openalex.org/W3169078099","https://openalex.org/W3169761664","https://openalex.org/W3177525997","https://openalex.org/W4246999471","https://openalex.org/W4289282436","https://openalex.org/W6922426257"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Rain":[0],"removal":[1],"is":[2],"a":[3,85,100],"vital":[4],"and":[5,55,107,133,160,166,195,203],"highly":[6],"ill-posed":[7],"low-level":[8],"vision":[9],"task.":[10],"While":[11],"currently":[12],"existing":[13],"deep":[14],"convolutional":[15],"neural":[16,115],"networks":[17,116,141],"(CNNs)":[18],"based":[19,37,179],"image":[20,178],"de-raining":[21,72,153,190],"methods":[22],"have":[23],"achieved":[24],"remarkable":[25],"results,":[26],"they":[27,59],"still":[28],"possess":[29],"apparent":[30],"shortcomings:":[31],"First,":[32],"most":[33,150],"of":[34,41,52,114,143,151,201],"the":[35,64,80,112,122,130,134,146,152,158],"CNNs":[36],"models":[38,45],"are":[39,46],"lack":[40],"interpretability.":[42],"Second,":[43],"these":[44,94],"not":[47],"embedded":[48],"with":[49],"physical":[50],"structures":[51],"rain":[53],"streaks":[54],"background":[56,65,136],"images.":[57,66],"Third,":[58],"omit":[60],"useful":[61],"information":[62],"in":[63,70,74,199],"These":[67],"deficiencies":[68],"result":[69],"unsatisfied":[71],"results":[73,183],"some":[75],"sophisticated":[76],"scenarios.":[77],"To":[78,155],"solve":[79],"above":[81],"problems,":[82],"we":[83,163],"propose":[84,99],"Deep":[86],"Dual":[87],"Convolutional":[88],"Dictionary":[89],"Learning":[90],"Network":[91],"(DDCDNet)":[92],"for":[93,176],"specific":[95],"tasks.":[96],"We":[97],"firstly":[98],"new":[101],"dual":[102],"dictionary":[103,139,168,175],"learning":[104,140],"objective":[105],"function,":[106],"then":[108],"unfold":[109],"it":[110],"into":[111],"form":[113],"to":[117,128,169,172],"learn":[118,129],"prior":[119],"knowledge":[120],"from":[121],"data":[123,197],"automatically.":[124],"This":[125],"network":[126,171],"tries":[127],"rain-streaks":[131,147],"layer":[132,148],"clean":[135],"using":[137],"two":[138],"instead":[142],"merely":[144],"predicting":[145],"like":[149],"methods.":[154],"further":[156],"increase":[157],"interpretability":[159],"generalization":[161],"capability,":[162],"add":[164],"sparsity":[165],"adaptive":[167],"our":[170,186],"generate":[173],"dynamic":[174],"each":[177],"on":[180,192],"content.":[181],"Experimental":[182],"reveal":[184],"that":[185],"model":[187],"possesses":[188],"outstanding":[189],"ability":[191],"both":[193],"synthetic":[194],"real-world":[196],"sets":[198],"terms":[200],"PSNR":[202],"SSIM":[204],"as":[205,207],"well":[206],"visual":[208],"appearance.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}
