{"id":"https://openalex.org/W3046849953","doi":"https://doi.org/10.1145/3394171.3413820","title":"DCSFN: Deep Cross-scale Fusion Network for Single Image Rain Removal","display_name":"DCSFN: Deep Cross-scale Fusion Network for Single Image Rain Removal","publication_year":2020,"publication_date":"2020-10-12","ids":{"openalex":"https://openalex.org/W3046849953","doi":"https://doi.org/10.1145/3394171.3413820","mag":"3046849953"},"language":"en","primary_location":{"id":"doi:10.1145/3394171.3413820","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3413820","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2008.00767","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100390494","display_name":"Cong Wang","orcid":"https://orcid.org/0000-0002-6068-0103"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Wang","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041938390","display_name":"Xiaoying Xing","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoying Xing","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yutong Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yutong Wu","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101765247","display_name":"Zhixun Su","orcid":"https://orcid.org/0000-0002-6093-8266"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixun Su","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100713114","display_name":"Junyang Chen","orcid":"https://orcid.org/0000-0002-3235-3375"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Junyang Chen","raw_affiliation_strings":["University of Macau, Macao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Macau, Macao, China","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1643","last_page":"1651"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.996999979019165,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9922999739646912,"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/computer-science","display_name":"Computer science","score":0.7814042568206787},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.7553980946540833},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.6516616344451904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5648243427276611},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5581059455871582},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5221072435379028},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4836919903755188},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4569551944732666},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45031383633613586},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4177541136741638},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4128054678440094},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.367168128490448},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34433817863464355},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34300315380096436},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07451421022415161}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7814042568206787},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.7553980946540833},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.6516616344451904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5648243427276611},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5581059455871582},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5221072435379028},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4836919903755188},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4569551944732666},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45031383633613586},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4177541136741638},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4128054678440094},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.367168128490448},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34433817863464355},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34300315380096436},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07451421022415161},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3394171.3413820","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3413820","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2008.00767","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.00767","pdf_url":"https://arxiv.org/pdf/2008.00767","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"mag:3046849953","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2008.00767","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2008.00767","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2008.00767","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2008.00767","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.00767","pdf_url":"https://arxiv.org/pdf/2008.00767","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3046849953.pdf","grobid_xml":"https://content.openalex.org/works/W3046849953.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W135113724","https://openalex.org/W1591801644","https://openalex.org/W1802825888","https://openalex.org/W1885185971","https://openalex.org/W1903029394","https://openalex.org/W2054604489","https://openalex.org/W2114770744","https://openalex.org/W2121396509","https://openalex.org/W2133665775","https://openalex.org/W2154621477","https://openalex.org/W2209874411","https://openalex.org/W2256362396","https://openalex.org/W2466666260","https://openalex.org/W2489292218","https://openalex.org/W2509784253","https://openalex.org/W2519481857","https://openalex.org/W2548527721","https://openalex.org/W2559264300","https://openalex.org/W2565639579","https://openalex.org/W2607037079","https://openalex.org/W2613034492","https://openalex.org/W2617199345","https://openalex.org/W2740982616","https://openalex.org/W2752782242","https://openalex.org/W2770201307","https://openalex.org/W2777170053","https://openalex.org/W2788708632","https://openalex.org/W2791550762","https://openalex.org/W2798373285","https://openalex.org/W2798401637","https://openalex.org/W2798744505","https://openalex.org/W2884068670","https://openalex.org/W2885442750","https://openalex.org/W2888285221","https://openalex.org/W2895404171","https://openalex.org/W2895588569","https://openalex.org/W2896911342","https://openalex.org/W2900866069","https://openalex.org/W2901975465","https://openalex.org/W2913360047","https://openalex.org/W2930755307","https://openalex.org/W2948667002","https://openalex.org/W2952102074","https://openalex.org/W2952102334","https://openalex.org/W2952837014","https://openalex.org/W2953343723","https://openalex.org/W2963017889","https://openalex.org/W2963182372","https://openalex.org/W2963306157","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W2963843230","https://openalex.org/W2963878020","https://openalex.org/W2964121744","https://openalex.org/W2964212750","https://openalex.org/W2964221239","https://openalex.org/W2964267765","https://openalex.org/W2967584026","https://openalex.org/W2981380309","https://openalex.org/W3008550047","https://openalex.org/W6691861242"],"related_works":["https://openalex.org/W3092703224","https://openalex.org/W3202461047","https://openalex.org/W2740982616","https://openalex.org/W2559264300","https://openalex.org/W2954051811","https://openalex.org/W3128982913","https://openalex.org/W3182950293","https://openalex.org/W3174992363","https://openalex.org/W3099963728","https://openalex.org/W3093961017","https://openalex.org/W3198843251","https://openalex.org/W3049708585","https://openalex.org/W3197393208","https://openalex.org/W2997934748","https://openalex.org/W3092843037","https://openalex.org/W2811271212","https://openalex.org/W2963977130","https://openalex.org/W2887530227","https://openalex.org/W2793693263","https://openalex.org/W3011666637"],"abstract_inverted_index":{"Rain":[0],"removal":[1,48,89],"is":[2],"an":[3,133],"important":[4],"but":[5],"challenging":[6],"computer":[7],"vision":[8],"task":[9],"as":[10],"rain":[11,47,88,151],"streaks":[12],"can":[13,50],"severely":[14],"degrade":[15],"the":[16,45,63,75,86,139,157,177,186],"visibility":[17],"of":[18,122,179],"images":[19],"that":[20],"may":[21,66],"make":[22,119],"other":[23],"visions":[24],"or":[25,40],"multimedia":[26],"tasks":[27],"fail":[28],"to":[29,84,92,116,137,149,163],"work.":[30],"Previous":[31],"works":[32],"mainly":[33],"focused":[34],"on":[35,57,169],"feature":[36],"extraction":[37],"and":[38,80,118,142,154,172],"processing":[39],"neural":[41],"network":[42,59],"structure,":[43,102],"while":[44],"current":[46],"methods":[49],"already":[51],"achieve":[52],"remarkable":[53],"results,":[54],"training":[55],"based":[56],"single":[58],"structure":[60],"without":[61],"considering":[62],"cross-scale":[64,76,110],"relationship":[65],"cause":[67],"information":[68,123,141],"drop-out.":[69],"In":[70],"this":[71],"paper,":[72],"we":[73,98,131,155],"explore":[74],"manner":[77,111],"between":[78,146],"networks":[79],"inner-scale":[81,134],"fusion":[82,144],"operation":[83],"solve":[85],"image":[87],"task.":[90],"Specifically,":[91],"learn":[93],"features":[94,143],"with":[95,160],"different":[96,125,147],"scales,":[97],"propose":[99],"a":[100,109],"multi-sub-networks":[101],"where":[103],"these":[104,128,165],"sub-networks":[105],"are":[106],"fused":[107],"via":[108],"by":[112],"Gate":[113],"Recurrent":[114],"Unit":[115],"inner-learn":[117],"full":[120],"use":[121],"at":[124,195],"scales":[126,148],"in":[127],"sub-networks.":[129],"Further,":[130],"design":[132],"connection":[135,162],"block":[136,159],"utilize":[138],"multi-scale":[140],"way":[145],"improve":[150],"representation":[152],"ability":[153],"introduce":[156],"dense":[158],"skip":[161],"inner-connect":[164],"blocks.":[166],"Experimental":[167],"results":[168],"both":[170],"synthetic":[171],"real-world":[173],"datasets":[174],"have":[175],"demonstrated":[176],"superiority":[178],"our":[180],"proposed":[181],"method,":[182],"which":[183],"outperforms":[184],"over":[185],"state-of-the-art":[187],"methods.":[188],"The":[189],"source":[190],"code":[191],"will":[192],"be":[193],"available":[194],"https://supercong94.wixsite.com/supercong94.":[196]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":9}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}