{"id":"https://openalex.org/W4400948267","doi":"https://doi.org/10.1145/3672919.3672966","title":"DMAED: Dynamic Matte Aware Encoder-Decoder for Shadow Removal","display_name":"DMAED: Dynamic Matte Aware Encoder-Decoder for Shadow Removal","publication_year":2024,"publication_date":"2024-03-01","ids":{"openalex":"https://openalex.org/W4400948267","doi":"https://doi.org/10.1145/3672919.3672966"},"language":"en","primary_location":{"id":"doi:10.1145/3672919.3672966","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3672919.3672966","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital Economy","raw_type":"proceedings-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":null,"display_name":"Yadong Zhou","orcid":"https://orcid.org/0009-0001-3320-358X"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yadong Zhou","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, China"],"raw_orcid":"https://orcid.org/0009-0001-3320-358X","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044542014","display_name":"Zhenfeng Zhu","orcid":"https://orcid.org/0000-0003-3336-1614"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenfeng Zhu","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, China"],"raw_orcid":"https://orcid.org/0000-0003-3336-1614","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, China","institution_ids":["https://openalex.org/I38877650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I38877650"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10211182,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"251","last_page":"256"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9975000023841858,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9825999736785889,"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/encoder","display_name":"Encoder","score":0.7663199305534363},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7402948141098022},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.5918118953704834},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.47678235173225403},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.38865384459495544},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12077987194061279},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.07715052366256714}],"concepts":[{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7663199305534363},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7402948141098022},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.5918118953704834},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.47678235173225403},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.38865384459495544},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12077987194061279},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.07715052366256714},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3672919.3672966","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3672919.3672966","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital Economy","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":23,"referenced_works":["https://openalex.org/W39428922","https://openalex.org/W1967913888","https://openalex.org/W2035773017","https://openalex.org/W2076205488","https://openalex.org/W2166502676","https://openalex.org/W2740832349","https://openalex.org/W2771722369","https://openalex.org/W2945778316","https://openalex.org/W2989899624","https://openalex.org/W2997387466","https://openalex.org/W3042980047","https://openalex.org/W3154153534","https://openalex.org/W3202215329","https://openalex.org/W3210482106","https://openalex.org/W4211086596","https://openalex.org/W4214552968","https://openalex.org/W4229783421","https://openalex.org/W4280547580","https://openalex.org/W4288438776","https://openalex.org/W6767255529","https://openalex.org/W6780232466","https://openalex.org/W6838768490","https://openalex.org/W6849027086"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2893218741","https://openalex.org/W4392589133","https://openalex.org/W2390279801","https://openalex.org/W2558319350","https://openalex.org/W1492594177","https://openalex.org/W2358668433","https://openalex.org/W1842742976","https://openalex.org/W4396701345"],"abstract_inverted_index":{"The":[0,77],"removal":[1],"of":[2,41,54,95,104,139],"shadows":[3],"in":[4,11,28,37,143],"images":[5],"has":[6],"significant":[7,137],"implications":[8],"for":[9,35],"research":[10],"semantic":[12],"segmentation":[13],"and":[14,43,50,68,93,97,133,147],"object":[15],"recognition.":[16],"Although":[17],"methods":[18],"based":[19],"on":[20,126],"deep":[21],"learning":[22],"models":[23],"have":[24],"made":[25],"important":[26],"progress":[27],"shadow":[29,109,113,149],"removal,":[30],"there":[31],"is":[32],"still":[33],"room":[34],"improvement":[36],"the":[38,52,55,65,70,82,102,136,140],"simultaneous":[39],"treatment":[40],"soft":[42,148],"hard":[44,146],"shadows.":[45],"To":[46],"address":[47],"these":[48],"challenges":[49],"improve":[51],"robustness":[53],"algorithms,":[56],"this":[57],"study":[58],"introduces":[59],"a":[60,86,116],"dynamic":[61,98],"matte-attention":[62],"mechanism":[63],"into":[64],"encoder-decoder":[66],"network":[67],"proposes":[69],"DMAED":[71,78,141],"(Dynamic":[72],"Matte":[73],"Aware":[74],"Encoder-Decoder)":[75],"model.":[76],"model":[79,142],"first":[80],"preprocesses":[81],"input":[83],"data":[84],"using":[85],"matte":[87],"mask.":[88],"Then,":[89],"through":[90],"iterative":[91],"processes":[92],"updates":[94],"tokens":[96],"masks,":[99],"it":[100],"facilitates":[101],"migration":[103],"features":[105],"from":[106],"non-shadow":[107],"to":[108],"regions,":[110],"gradually":[111],"eliminating":[112],"artifacts.":[114],"Finally,":[115],"cascaded":[117],"refinement":[118],"decoder":[119],"further":[120],"rectifies":[121],"shadowed":[122],"images.":[123],"Experimental":[124],"results":[125],"benchmark":[127],"datasets":[128],"such":[129],"as":[130],"ISTD,":[131],"ISTD+,":[132],"SRD":[134],"demonstrate":[135],"effectiveness":[138],"handling":[144],"both":[145],"scenarios.":[150]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}