{"id":"https://openalex.org/W4327521125","doi":"https://doi.org/10.1145/3573428.3573675","title":"Shadow Generation for Composite Image with Multi-level Feature Fusion","display_name":"Shadow Generation for Composite Image with Multi-level Feature Fusion","publication_year":2022,"publication_date":"2022-10-21","ids":{"openalex":"https://openalex.org/W4327521125","doi":"https://doi.org/10.1145/3573428.3573675"},"language":"en","primary_location":{"id":"doi:10.1145/3573428.3573675","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3573428.3573675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","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":"https://openalex.org/A5081654262","display_name":"Tianyanshi Liu","orcid":"https://orcid.org/0000-0001-7458-0851"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianyanshi Liu","raw_affiliation_strings":["Shanghai Engineering Research Center of Motion Picture Special Effects, Shanghai Film Academy Shanghai University, China"],"raw_orcid":"https://orcid.org/0000-0001-7458-0851","affiliations":[{"raw_affiliation_string":"Shanghai Engineering Research Center of Motion Picture Special Effects, Shanghai Film Academy Shanghai University, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057707748","display_name":"Yuhang Li","orcid":"https://orcid.org/0000-0001-5820-7539"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhang Li","raw_affiliation_strings":["Shanghai Engineering Research Center of Motion Picture Special Effects, Shanghai Film Academy Shanghai University, China"],"raw_orcid":"https://orcid.org/0000-0001-5820-7539","affiliations":[{"raw_affiliation_string":"Shanghai Engineering Research Center of Motion Picture Special Effects, Shanghai Film Academy Shanghai University, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":null,"display_name":"Youdong Ding","orcid":"https://orcid.org/0000-0002-0830-6624"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youdong Ding","raw_affiliation_strings":["Shanghai Engineering Research Center of Motion Picture Special Effects, Shanghai Film Academy Shanghai University, China"],"raw_orcid":"https://orcid.org/0000-0002-0830-6624","affiliations":[{"raw_affiliation_string":"Shanghai Engineering Research Center of Motion Picture Special Effects, Shanghai Film Academy Shanghai University, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081654262"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.1590851,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1396","last_page":"1400"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T11019","display_name":"Image Enhancement Techniques","score":0.9994999766349792,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9952999949455261,"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/shadow","display_name":"Shadow (psychology)","score":0.792017936706543},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7257684469223022},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7180899977684021},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6480696797370911},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6111927628517151},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.49524298310279846},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44396108388900757},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4245389699935913},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.41841956973075867},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3343357443809509}],"concepts":[{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.792017936706543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7257684469223022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7180899977684021},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6480696797370911},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6111927628517151},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.49524298310279846},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44396108388900757},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4245389699935913},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.41841956973075867},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3343357443809509},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3573428.3573675","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3573428.3573675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2008331211","https://openalex.org/W2097117768","https://openalex.org/W2194775991","https://openalex.org/W2569951966","https://openalex.org/W2594591089","https://openalex.org/W2923942255","https://openalex.org/W2939873304","https://openalex.org/W2945527387","https://openalex.org/W2963073614","https://openalex.org/W3004335748","https://openalex.org/W3035244041","https://openalex.org/W3035462037","https://openalex.org/W3104943862","https://openalex.org/W3154831990","https://openalex.org/W6657492512"],"related_works":["https://openalex.org/W2317337758","https://openalex.org/W3014708372","https://openalex.org/W2096823343","https://openalex.org/W1969449762","https://openalex.org/W1999949837","https://openalex.org/W2382607599","https://openalex.org/W2359631359","https://openalex.org/W2767265881","https://openalex.org/W2401110621","https://openalex.org/W2978289231"],"abstract_inverted_index":{"Shadow":[0,54,81],"generation":[1],"for":[2,9,45],"composite":[3,46],"image":[4],"aims":[5],"to":[6,14,26,121,143],"generate":[7],"shadows":[8,30,44],"the":[10,15,19,23,27,53,80,84,93,99,108,131,145,150,165,171],"foreground":[11,24,58,76,109],"with":[12,48,176],"reference":[13],"background":[16,61],"information,":[17],"reducing":[18],"floating":[20],"feeling":[21],"of":[22,29,75,86,126,147,152],"due":[25],"lack":[28],"caused":[31],"by":[32,156],"simple":[33],"overlays.":[34],"The":[35],"existing":[36],"two-stage":[37],"methods":[38],"are":[39,64],"not":[40,65],"effective":[41],"in":[42,52,69,79,149],"generating":[43],"images":[47],"complex":[49],"foregrounds.":[50],"First,":[51],"Mask":[55],"Prediction":[56],"stage,":[57],"information":[59,63,89,128,148],"and":[60,73,98,129,180],"lighting":[62],"fully":[66],"extracted,":[67],"resulting":[68],"inaccurate":[70],"prediction":[71,102,133,155],"range":[72,125,179],"shape":[74],"shadows.":[77],"Second,":[78],"Filling":[82],"Stage,":[83],"amount":[85],"shadow":[87,100,110,153,174],"parameter":[88,101,154],"will":[90],"decrease":[91],"as":[92],"residual":[94],"network":[95],"level":[96],"deepens,":[97],"is":[103],"inaccurate,":[104],"which":[105],"greatly":[106],"affects":[107],"filling":[111],"effect.":[112],"Therefore,":[113],"we":[114,136],"add":[115],"a":[116,123,138],"multi-scale":[117],"feature":[118,127,140],"enhancement":[119],"module":[120,142],"obtain":[122],"wider":[124],"improve":[130],"mask":[132],"accuracy.":[134],"Meanwhile,":[135],"propose":[137],"multi-level":[139],"fusion":[141],"reduce":[144],"loss":[146],"process":[151],"multiplexing":[157],"features":[158],"at":[159],"different":[160],"levels.":[161],"Our":[162],"experiments":[163],"on":[164],"public":[166],"dataset":[167],"DESOBA":[168],"show":[169],"that":[170],"method":[172],"generates":[173],"regions":[175],"more":[177],"accurate":[178],"shape.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
