{"id":"https://openalex.org/W2981380309","doi":"https://doi.org/10.1145/3343031.3351149","title":"Single Image Deraining via Recurrent Hierarchy Enhancement Network","display_name":"Single Image Deraining via Recurrent Hierarchy Enhancement Network","publication_year":2019,"publication_date":"2019-10-15","ids":{"openalex":"https://openalex.org/W2981380309","doi":"https://doi.org/10.1145/3343031.3351149","mag":"2981380309"},"language":"en","primary_location":{"id":"doi:10.1145/3343031.3351149","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3351149","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th 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/A5003695311","display_name":"Youzhao Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youzhao Yang","raw_affiliation_strings":["Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070355771","display_name":"Hong Lu","orcid":"https://orcid.org/0000-0002-4572-2854"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Lu","raw_affiliation_strings":["Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":4.209,"has_fulltext":false,"cited_by_count":70,"citation_normalized_percentile":{"value":0.95615476,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1814","last_page":"1822"},"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":0.9983000159263611,"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":0.9976000189781189,"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/visibility","display_name":"Visibility","score":0.7826613187789917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7539085745811462},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.738467812538147},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6437055468559265},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5571505427360535},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5415875911712646},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5396831631660461},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5085285902023315},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.500129222869873},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4641929864883423},{"id":"https://openalex.org/keywords/unit","display_name":"Unit (ring theory)","score":0.42513784766197205},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.42130953073501587},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4074075520038605},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3593760132789612},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11200752854347229},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09104114770889282},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09005200862884521}],"concepts":[{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.7826613187789917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7539085745811462},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.738467812538147},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6437055468559265},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5571505427360535},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5415875911712646},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5396831631660461},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5085285902023315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.500129222869873},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4641929864883423},{"id":"https://openalex.org/C122637931","wikidata":"https://www.wikidata.org/wiki/Q118084","display_name":"Unit (ring theory)","level":2,"score":0.42513784766197205},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.42130953073501587},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4074075520038605},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3593760132789612},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11200752854347229},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09104114770889282},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09005200862884521},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","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/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3343031.3351149","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3351149","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th 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":29,"referenced_works":["https://openalex.org/W1802825888","https://openalex.org/W1909316225","https://openalex.org/W1976056157","https://openalex.org/W2017416107","https://openalex.org/W2119535410","https://openalex.org/W2121396509","https://openalex.org/W2133665775","https://openalex.org/W2154621477","https://openalex.org/W2154815154","https://openalex.org/W2194775991","https://openalex.org/W2209874411","https://openalex.org/W2466666260","https://openalex.org/W2559264300","https://openalex.org/W2740982616","https://openalex.org/W2753548330","https://openalex.org/W2777170053","https://openalex.org/W2777241530","https://openalex.org/W2780930362","https://openalex.org/W2790883954","https://openalex.org/W2798401637","https://openalex.org/W2798744505","https://openalex.org/W2896911342","https://openalex.org/W2953384591","https://openalex.org/W2963420272","https://openalex.org/W2963470893","https://openalex.org/W2963641969","https://openalex.org/W2963843230","https://openalex.org/W4236965008","https://openalex.org/W6713134421"],"related_works":["https://openalex.org/W2392812199","https://openalex.org/W4200176076","https://openalex.org/W598185802","https://openalex.org/W2355516524","https://openalex.org/W2361471170","https://openalex.org/W2025616642","https://openalex.org/W1954972543","https://openalex.org/W2954738200","https://openalex.org/W4220843223","https://openalex.org/W4226107239"],"abstract_inverted_index":{"Single":[0],"image":[1,134],"deraining":[2],"is":[3,77,110,149],"an":[4],"important":[5],"problem":[6],"in":[7,91,112],"many":[8],"computer":[9],"vision":[10],"tasks":[11],"since":[12],"rain":[13,40,89,104],"streaks":[14,41,105],"can":[15],"severely":[16],"hamper":[17],"and":[18,67,86,101,115,130],"degrade":[19],"the":[20,81,88,92,138,142],"visibility":[21],"of":[22,103],"images.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27,54],"propose":[28],"a":[29,56,72,131],"novel":[30],"network":[31,52],"named":[32],"Recurrent":[33,73],"Hierarchy":[34,57],"Enhancement":[35,58,74],"Network":[36],"(ReHEN)":[37],"to":[38,61,79,117,122],"remove":[39],"from":[42,84],"rainy":[43,133],"images":[44],"stage":[45],"by":[46],"stage.":[47],"Unlike":[48],"previous":[49],"deep":[50],"convolutional":[51],"methods,":[53],"adopt":[55],"Unit":[59,75],"(HEU)":[60],"fully":[62],"extract":[63],"local":[64],"hierarchical":[65],"features":[66],"generate":[68],"effective":[69],"features.":[70,124],"Then":[71],"(REU)":[76],"added":[78],"keep":[80],"useful":[82],"information":[83],"HEU":[85,114],"benefit":[87],"removal":[90],"later":[93],"stages.":[94],"To":[95],"focus":[96],"on":[97,126],"different":[98,119],"scales,":[99],"shapes,":[100],"densities":[102],"adaptively,":[106],"Squeeze-and-Excitation":[107],"(SE)":[108],"block":[109],"applied":[111],"both":[113],"REU":[116],"assign":[118],"scale":[120],"factors":[121],"high-level":[123],"Experiments":[125],"five":[127],"synthetic":[128],"datasets":[129],"real-world":[132],"set":[135],"show":[136],"that":[137],"proposed":[139],"method":[140],"outperforms":[141],"state-of-the-art":[143],"methods":[144],"considerably.":[145],"The":[146],"source":[147],"code":[148],"available":[150],"at":[151],"https://github.com/nnUyi/ReHEN.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":25},{"year":2020,"cited_by_count":9}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}