{"id":"https://openalex.org/W4309616870","doi":"https://doi.org/10.1145/3571745","title":"Exploiting Residual and Illumination with GANs for Shadow Detection and Shadow Removal","display_name":"Exploiting Residual and Illumination with GANs for Shadow Detection and Shadow Removal","publication_year":2022,"publication_date":"2022-11-17","ids":{"openalex":"https://openalex.org/W4309616870","doi":"https://doi.org/10.1145/3571745"},"language":"en","primary_location":{"id":"doi:10.1145/3571745","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3571745","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","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/A5100450731","display_name":"Ling Zhang","orcid":"https://orcid.org/0000-0002-0736-374X"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Zhang","raw_affiliation_strings":["Wuhan University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0736-374X","affiliations":[{"raw_affiliation_string":"Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027540915","display_name":"Chengjiang Long","orcid":"https://orcid.org/0000-0003-1584-7290"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chengjiang Long","raw_affiliation_strings":["JD Finance America Corporation, Mountain View, California"],"raw_orcid":"https://orcid.org/0000-0003-1584-7290","affiliations":[{"raw_affiliation_string":"JD Finance America Corporation, Mountain View, California","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395673","display_name":"Xiaolong Zhang","orcid":"https://orcid.org/0000-0001-5615-2044"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Zhang","raw_affiliation_strings":["Wuhan University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-5615-2044","affiliations":[{"raw_affiliation_string":"Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100768160","display_name":"Chunxia Xiao","orcid":"https://orcid.org/0000-0002-4526-6297"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunxia Xiao","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-4526-6297","affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1746,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.79696319,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"19","issue":"3","first_page":"1","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9958999752998352,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9955000281333923,"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/discriminator","display_name":"Discriminator","score":0.7795990705490112},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.7727278470993042},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7554927468299866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7147762179374695},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6967509984970093},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6648603677749634},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5169088840484619},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5058183670043945},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21706914901733398},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.07461455464363098}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.7795990705490112},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.7727278470993042},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7554927468299866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7147762179374695},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6967509984970093},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6648603677749634},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5169088840484619},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5058183670043945},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21706914901733398},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.07461455464363098},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3571745","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3571745","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6700000166893005,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G8012369059","display_name":null,"funder_award_id":"61902286, 61972298, U1803262","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1432573875","https://openalex.org/W1541667274","https://openalex.org/W1595447353","https://openalex.org/W1697920635","https://openalex.org/W1864774065","https://openalex.org/W2003145026","https://openalex.org/W2050539033","https://openalex.org/W2079686637","https://openalex.org/W2128254161","https://openalex.org/W2153736712","https://openalex.org/W2156716176","https://openalex.org/W2166502676","https://openalex.org/W2252574053","https://openalex.org/W2519623608","https://openalex.org/W2566376500","https://openalex.org/W2595390676","https://openalex.org/W2737994064","https://openalex.org/W2785678896","https://openalex.org/W2801375052","https://openalex.org/W2885514323","https://openalex.org/W2934915317","https://openalex.org/W2944309784","https://openalex.org/W2985245517","https://openalex.org/W2989792164","https://openalex.org/W2997085666","https://openalex.org/W3008992439","https://openalex.org/W3014605045","https://openalex.org/W3023003829","https://openalex.org/W3023742835","https://openalex.org/W3025057169","https://openalex.org/W3026432413","https://openalex.org/W3034769575","https://openalex.org/W3035250394","https://openalex.org/W3157598734","https://openalex.org/W4200268060","https://openalex.org/W4221162268","https://openalex.org/W4245551996","https://openalex.org/W4310895557","https://openalex.org/W6635817134","https://openalex.org/W6684093308"],"related_works":["https://openalex.org/W4293202849","https://openalex.org/W1980965563","https://openalex.org/W1489300767","https://openalex.org/W4380714744","https://openalex.org/W2387995142","https://openalex.org/W4319453655","https://openalex.org/W2089959425","https://openalex.org/W2904326725","https://openalex.org/W2972212393","https://openalex.org/W4308217387"],"abstract_inverted_index":{"Residual":[0],"image":[1,12,77,201],"and":[2,27,38,62,78,90,113,149,172,183,205,211],"illumination":[3,28,65,81,88],"estimation":[4],"have":[5],"been":[6],"proven":[7],"to":[8,53,106,120,130,144,160,163],"be":[9],"helpful":[10],"for":[11,180],"enhancement.":[13],"In":[14,154],"this":[15],"article,":[16],"we":[17,49,156],"propose":[18],"a":[19,42,55,59,103,127],"general":[20],"framework,":[21],"called":[22],"RI-GAN,":[23],"that":[24,187],"exploits":[25],"residual":[26,60,76,85],"using":[29],"generative":[30],"adversarial":[31],"networks":[32],"(GANs).":[33],"The":[34],"proposed":[35,215],"framework":[36],"detects":[37],"removes":[39],"shadows":[40],"in":[41,110,134,198],"coarse-to-fine":[43],"fashion.":[44],"At":[45],"the":[46,75,79,84,87,91,99,111,116,121,131,136,146,150,161,165,170,173,176,209,214],"coarse":[47,56,117],"stage,":[48],"employ":[50],"three":[51],"generators":[52],"produce":[54],"shadow-removal":[57,72,94,118,152],"result,":[58],"image,":[61,86,112],"an":[63],"inverse":[64,80],"map.":[66,82],"We":[67,125],"also":[68],"incorporate":[69],"two":[70,92],"indirect":[71,93],"images":[73,95],"via":[74],"With":[83],"map,":[89],"as":[96],"auxiliary":[97],"information,":[98],"refinement":[100,132],"stage":[101],"estimates":[102],"shadow":[104,108,147,181,184],"mask":[105,148],"identify":[107],"regions":[109],"then":[114],"refines":[115],"result":[119],"fine":[122],"shadow-free":[123],"image.":[124,178],"introduce":[126],"cross-encoding":[128],"module":[129],"generator,":[133],"which":[135],"use":[137],"of":[138,169,175,200,213],"feature-crossing":[139],"can":[140],"provide":[141],"additional":[142],"details":[143],"promote":[145],"high-quality":[151],"result.":[153],"addition,":[155],"apply":[157],"data":[158],"augmentation":[159],"discriminator":[162,171],"reduce":[164],"dependence":[166],"between":[167],"representations":[168],"quality":[174],"predicted":[177],"Experiments":[179],"detection":[182],"removal":[185],"demonstrate":[186],"our":[188],"method":[189],"outperforms":[190],"state-of-the-art":[191],"methods.":[192],"Furthermore,":[193],"RI-GAN":[194],"exhibits":[195],"good":[196],"performance":[197],"terms":[199],"dehazing,":[202],"rain":[203],"removal,":[204,207],"highlight":[206],"demonstrating":[208],"effectiveness":[210],"flexibility":[212],"framework.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}