{"id":"https://openalex.org/W3026432413","doi":"https://doi.org/10.1109/tip.2020.2994443","title":"Single Image Deraining Using Bilateral Recurrent Network","display_name":"Single Image Deraining Using Bilateral Recurrent Network","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3026432413","doi":"https://doi.org/10.1109/tip.2020.2994443","mag":"3026432413"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2020.2994443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.2994443","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Image Processing","raw_type":"journal-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/A5051402211","display_name":"Dongwei Ren","orcid":"https://orcid.org/0000-0002-0965-6810"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongwei Ren","raw_affiliation_strings":["Tianjin Key Laboratory of Machine Learning, College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Machine Learning, College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115604897","display_name":"Wei Shang","orcid":"https://orcid.org/0000-0001-6039-6041"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Shang","raw_affiliation_strings":["Tianjin Key Laboratory of Machine Learning, College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Machine Learning, College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006952581","display_name":"Pengfei Zhu","orcid":"https://orcid.org/0000-0002-4310-9140"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Zhu","raw_affiliation_strings":["Tianjin Key Laboratory of Machine Learning, College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Machine Learning, College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056686459","display_name":"Qinghua Hu","orcid":"https://orcid.org/0000-0001-7765-8095"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghua Hu","raw_affiliation_strings":["Tianjin Key Laboratory of Machine Learning, College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Machine Learning, College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091017287","display_name":"Deyu Meng","orcid":"https://orcid.org/0000-0002-1294-8283"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN","MO"],"is_corresponding":false,"raw_author_name":"Deyu Meng","raw_affiliation_strings":["Faculty of Information Technology, Macau University of Science and Technology, Taipa, Macau","School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China","School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Macau University of Science and Technology, Taipa, Macau","institution_ids":["https://openalex.org/I111950717"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100636655","display_name":"Wangmeng Zuo","orcid":"https://orcid.org/0000-0002-3330-783X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wangmeng Zuo","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China","School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5051402211"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":7.3587,"has_fulltext":false,"cited_by_count":108,"citation_normalized_percentile":{"value":0.97928856,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"29","issue":null,"first_page":"6852","last_page":"6863"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9970999956130981,"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":0.9955999851226807,"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/streak","display_name":"Streak","score":0.8327255249023438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7626228332519531},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7361810207366943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7314774394035339},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6295900344848633},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6294648051261902},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6292881369590759},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5782895684242249},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5757200717926025},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5580332279205322},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5556556582450867},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5479198098182678},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.5330221652984619},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44674763083457947},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16689938306808472},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.11127015948295593},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09913352131843567},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.060704708099365234}],"concepts":[{"id":"https://openalex.org/C65185188","wikidata":"https://www.wikidata.org/wiki/Q107775","display_name":"Streak","level":2,"score":0.8327255249023438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7626228332519531},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7361810207366943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7314774394035339},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6295900344848633},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6294648051261902},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6292881369590759},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5782895684242249},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5757200717926025},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5580332279205322},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5556556582450867},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5479198098182678},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.5330221652984619},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44674763083457947},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16689938306808472},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.11127015948295593},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09913352131843567},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.060704708099365234},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199289684","wikidata":"https://www.wikidata.org/wiki/Q83353","display_name":"Mineralogy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tip.2020.2994443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.2994443","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Image Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G214305076","display_name":null,"funder_award_id":"61876127","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4013770026","display_name":null,"funder_award_id":"61925602","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5576762974","display_name":null,"funder_award_id":"61801326","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6813436119","display_name":null,"funder_award_id":"61732011","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/F4320322701","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1522301498","https://openalex.org/W1665214252","https://openalex.org/W1885185971","https://openalex.org/W1909316225","https://openalex.org/W2064675550","https://openalex.org/W2119535410","https://openalex.org/W2121396509","https://openalex.org/W2133665775","https://openalex.org/W2154621477","https://openalex.org/W2157331557","https://openalex.org/W2209874411","https://openalex.org/W2214802144","https://openalex.org/W2466666260","https://openalex.org/W2508457857","https://openalex.org/W2509784253","https://openalex.org/W2559264300","https://openalex.org/W2613184245","https://openalex.org/W2737207197","https://openalex.org/W2740982616","https://openalex.org/W2747898905","https://openalex.org/W2777170053","https://openalex.org/W2780930362","https://openalex.org/W2784344583","https://openalex.org/W2789288870","https://openalex.org/W2798401637","https://openalex.org/W2798617638","https://openalex.org/W2798735168","https://openalex.org/W2884068670","https://openalex.org/W2896911342","https://openalex.org/W2899771611","https://openalex.org/W2912435603","https://openalex.org/W2913360047","https://openalex.org/W2930755307","https://openalex.org/W2963017889","https://openalex.org/W2963470893","https://openalex.org/W2963878020","https://openalex.org/W2964030969","https://openalex.org/W2964116203","https://openalex.org/W2964121744","https://openalex.org/W2964212750","https://openalex.org/W2964267765","https://openalex.org/W2966083079","https://openalex.org/W2970971581","https://openalex.org/W2971719842","https://openalex.org/W2974467376","https://openalex.org/W2999653953","https://openalex.org/W3098038213","https://openalex.org/W4295312788","https://openalex.org/W6628877408","https://openalex.org/W6631190155","https://openalex.org/W6637242042","https://openalex.org/W6753755972","https://openalex.org/W6766978945","https://openalex.org/W6967019552"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W4386541577"],"abstract_inverted_index":{"Single":[0],"image":[1,34,118,142],"deraining":[2,17,172],"has":[3],"received":[4],"considerable":[5],"progress":[6],"based":[7],"on":[8,174,192],"deep":[9,16,73,134,171],"convolutional":[10],"neural":[11],"network":[12,56,159],"(CNN).":[13],"In":[14,47],"existing":[15],"methods,":[18],"CNNs":[19],"are":[20,107,203],"deployed":[21],"to":[22,35,71,109],"extract":[23],"rain":[24,91,112,137],"streaks":[25],"while":[26],"failing":[27],"in":[28,85,95,187],"learning":[29,86,96],"direct":[30,97],"mapping":[31,88,98],"from":[32],"rainy":[33,194],"clean":[36,101,116],"background":[37,102,117,141],"image,":[38],"and":[39,44,115,140,178,200],"their":[40],"architectures":[41],"become":[42],"more":[43,45,185],"complicated.":[46],"this":[48],"work,":[49],"we":[50,124],"first":[51],"propose":[52,125],"a":[53,61,66],"single":[54],"recurrent":[55,67,158],"(SRN)":[57],"by":[58],"recursively":[59],"unfolding":[60],"shallow":[62],"residual":[63,87],"network,":[64],"where":[65],"layer":[68,114,139,143],"is":[69,81],"adopted":[70],"propagate":[72,133],"features":[74,135],"across":[75,144],"multiple":[76],"stages.":[77],"This":[78],"simple":[79],"SRN":[80],"effective":[82],"not":[83,129],"only":[84,130],"for":[89,99],"extracting":[90],"streaks,":[92],"but":[93,146],"also":[94,147,183],"predicting":[100],"image.":[103],"Furthermore,":[104],"two":[105,153],"SRNs":[106],"coupled":[108],"simultaneously":[110],"exploit":[111],"streak":[113,138],"layer.":[119],"Instead":[120],"of":[121,136,189],"naive":[122],"combination,":[123],"bilateral":[126,157],"LSTMs,":[127],"which":[128],"can":[131],"respectively":[132],"stages,":[145],"bring":[148],"the":[149,197],"interplay":[150],"between":[151],"these":[152],"SRNs,":[154],"finally":[155],"forming":[156],"(BRN).":[160],"The":[161,180],"experimental":[162],"results":[163],"demonstrate":[164],"that":[165],"our":[166],"BRN":[167],"notably":[168],"outperforms":[169],"state-of-the-art":[170],"networks":[173],"synthetic":[175],"datasets":[176],"quantitatively":[177],"qualitatively.":[179],"proposed":[181],"methods":[182],"perform":[184],"favorably":[186],"terms":[188],"generalization":[190],"performance":[191],"real-world":[193],"dataset.":[195],"All":[196],"source":[198],"code":[199],"pre-trained":[201],"models":[202],"available":[204],"at":[205],"https://github.com/csdwren/RecDerain.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":27},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
