{"id":"https://openalex.org/W2896911342","doi":"https://doi.org/10.1145/3240508.3240694","title":"Residual-Guide Network for Single Image Deraining","display_name":"Residual-Guide Network for Single Image Deraining","publication_year":2018,"publication_date":"2018-10-15","ids":{"openalex":"https://openalex.org/W2896911342","doi":"https://doi.org/10.1145/3240508.3240694","mag":"2896911342"},"language":"en","primary_location":{"id":"doi:10.1145/3240508.3240694","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240508.3240694","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM international conference on Multimedia","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/A5067582681","display_name":"Zhiwen Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwen Fan","raw_affiliation_strings":["Xiamen University, xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University, xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058026627","display_name":"Huafeng Wu","orcid":"https://orcid.org/0000-0002-3150-3407"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huafeng Wu","raw_affiliation_strings":["Xiamen University, xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University, xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"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/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueyang Fu","raw_affiliation_strings":["Xiamen University, xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University, xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100772804","display_name":"Yue Huang","orcid":"https://orcid.org/0000-0002-3913-9400"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Huang","raw_affiliation_strings":["Xiamen University, xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University, xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052820597","display_name":"Xinghao Ding","orcid":"https://orcid.org/0000-0003-2288-5287"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinghao Ding","raw_affiliation_strings":["Xiamen University, xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University, xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":5.7042,"has_fulltext":false,"cited_by_count":151,"citation_normalized_percentile":{"value":0.96949328,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1751","last_page":"1759"},"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":0.9994000196456909,"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/T10531","display_name":"Advanced Vision and Imaging","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"}}],"keywords":[{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.8459073901176453},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.7849578857421875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7815495133399963},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7163352966308594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6444080471992493},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.633151113986969},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.560707688331604},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48676204681396484},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37649574875831604},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3416775166988373},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24195262789726257},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11457559466362}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8459073901176453},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.7849578857421875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7815495133399963},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7163352966308594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6444080471992493},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.633151113986969},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.560707688331604},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48676204681396484},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37649574875831604},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3416775166988373},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24195262789726257},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11457559466362},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3240508.3240694","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240508.3240694","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1909316225","https://openalex.org/W1934184906","https://openalex.org/W1976056157","https://openalex.org/W2017416107","https://openalex.org/W2084362125","https://openalex.org/W2109992539","https://openalex.org/W2119535410","https://openalex.org/W2121396509","https://openalex.org/W2122596619","https://openalex.org/W2133665775","https://openalex.org/W2194775991","https://openalex.org/W2209874411","https://openalex.org/W2214802144","https://openalex.org/W2256362396","https://openalex.org/W2302255633","https://openalex.org/W2331128040","https://openalex.org/W2466666260","https://openalex.org/W2508457857","https://openalex.org/W2509784253","https://openalex.org/W2519481857","https://openalex.org/W2559264300","https://openalex.org/W2598097916","https://openalex.org/W2739097844","https://openalex.org/W2740982616","https://openalex.org/W2747898905","https://openalex.org/W2914369697","https://openalex.org/W2953106684","https://openalex.org/W2963017889","https://openalex.org/W2963025229","https://openalex.org/W2963306157","https://openalex.org/W2963446712","https://openalex.org/W2964125708","https://openalex.org/W2964212750","https://openalex.org/W4236965008"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2521347458","https://openalex.org/W2498789492","https://openalex.org/W2729981612","https://openalex.org/W2925692864","https://openalex.org/W4233449973","https://openalex.org/W2972212393","https://openalex.org/W3088721469"],"abstract_inverted_index":{"Single":[0],"image":[1,25,43],"rain":[2,128],"streaks":[3,129],"removal":[4],"is":[5,117],"extremely":[6],"important":[7],"since":[8],"rainy":[9,122],"condition":[10],"adversely":[11],"affects":[12],"many":[13],"computer":[14],"vision":[15,158],"systems.":[16],"Deep":[17],"learning":[18],"based":[19],"methods":[20],"have":[21],"great":[22],"success":[23],"in":[24],"deraining":[26,44],"tasks.":[27,159],"In":[28],"this":[29,88],"paper,":[30],"we":[31,58,137],"propose":[32,59],"a":[33,60,76,140],"novel":[34],"residual-guide":[35],"feature":[36],"fusion":[37],"network,":[38],"called":[39],"ResGuideNet,":[40],"for":[41],"single":[42],"that":[45,150],"progressively":[46],"predicts":[47],"high-quality":[48],"reconstruction":[49],"while":[50],"using":[51],"fewer":[52],"parameters":[53],"than":[54],"previous":[55],"methods.":[56],"Specifically,":[57],"cascaded":[61],"network":[62],"and":[63,109,130,156],"adopt":[64,102],"residuals":[65],"from":[66],"shallower":[67],"blocks":[68,84,94],"to":[69,105,112,119],"guide":[70],"deeper":[71,86],"blocks.":[72,147],"We":[73,101],"can":[74,138,152],"obtain":[75,139],"coarse-to-fine":[77],"estimation":[78],"of":[79,92],"negative":[80],"residual":[81],"as":[82],"the":[83,98],"go":[85],"with":[87,126,144],"strategy.":[89],"The":[90],"outputs":[91],"different":[93,121],"are":[95],"merged":[96],"into":[97],"final":[99],"reconstruction.":[100],"recursive":[103],"convolution":[104],"build":[106],"each":[107],"block":[108],"apply":[110],"supervision":[111],"intermediate":[113],"de-rained":[114],"results.":[115],"ResGuideNet":[116,151],"detachable":[118],"meet":[120],"conditions.":[123],"For":[124],"images":[125],"light":[127],"limited":[131],"computational":[132],"resource":[133],"at":[134],"test":[135],"time,":[136],"decent":[141],"performance":[142],"even":[143],"several":[145],"building":[146],"Experiments":[148],"validate":[149],"benefit":[153],"other":[154],"low-":[155],"high-level":[157]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":30},{"year":2022,"cited_by_count":25},{"year":2021,"cited_by_count":36},{"year":2020,"cited_by_count":23},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}