{"id":"https://openalex.org/W4312594468","doi":"https://doi.org/10.1109/tcsvt.2022.3226227","title":"Effective Light Field De-Occlusion Network Based on Swin Transformer","display_name":"Effective Light Field De-Occlusion Network Based on Swin Transformer","publication_year":2022,"publication_date":"2022-12-01","ids":{"openalex":"https://openalex.org/W4312594468","doi":"https://doi.org/10.1109/tcsvt.2022.3226227"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2022.3226227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3226227","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","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/A5103030459","display_name":"Xingzheng Wang","orcid":"https://orcid.org/0000-0003-4080-6888"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingzheng Wang","raw_affiliation_strings":["College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-4080-6888","affiliations":[{"raw_affiliation_string":"College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041587380","display_name":"Jiehao Liu","orcid":"https://orcid.org/0000-0001-5188-1109"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiehao Liu","raw_affiliation_strings":["College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-5188-1109","affiliations":[{"raw_affiliation_string":"College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008880448","display_name":"Songwei Chen","orcid":"https://orcid.org/0000-0003-1695-9585"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songwei Chen","raw_affiliation_strings":["College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1695-9585","affiliations":[{"raw_affiliation_string":"College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071113277","display_name":"Guoyao Wei","orcid":"https://orcid.org/0000-0001-6676-4976"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoyao Wei","raw_affiliation_strings":["College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-6676-4976","affiliations":[{"raw_affiliation_string":"College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":3.2301,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.93513996,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"33","issue":"6","first_page":"2590","last_page":"2599"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9980999827384949,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/occlusion","display_name":"Occlusion","score":0.7074708342552185},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6580289602279663},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6117940545082092},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5635175108909607},{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.4587154686450958},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4236219525337219},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.409239262342453},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.09760412573814392},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09504517912864685}],"concepts":[{"id":"https://openalex.org/C2776268601","wikidata":"https://www.wikidata.org/wiki/Q968808","display_name":"Occlusion","level":2,"score":0.7074708342552185},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6580289602279663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6117940545082092},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5635175108909607},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.4587154686450958},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4236219525337219},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.409239262342453},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.09760412573814392},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09504517912864685},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2022.3226227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3226227","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1688123","display_name":null,"funder_award_id":"2021A1515012287","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G180418009","display_name":null,"funder_award_id":"2020A1515011559","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G411138355","display_name":null,"funder_award_id":"20200810150441003","funder_id":"https://openalex.org/F4320335803","funder_display_name":"Shenzhen Fundamental Research and Discipline Layout project"},{"id":"https://openalex.org/G4276912816","display_name":null,"funder_award_id":"JCYJ20190808143415801","funder_id":"https://openalex.org/F4320335803","funder_display_name":"Shenzhen Fundamental Research and Discipline Layout project"}],"funders":[{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320335803","display_name":"Shenzhen Fundamental Research and Discipline Layout project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W1928278792","https://openalex.org/W2095705004","https://openalex.org/W2108687567","https://openalex.org/W2112796928","https://openalex.org/W2113642013","https://openalex.org/W2113672159","https://openalex.org/W2136733503","https://openalex.org/W2194775991","https://openalex.org/W2331128040","https://openalex.org/W2471014506","https://openalex.org/W2528330729","https://openalex.org/W2798487245","https://openalex.org/W2993592664","https://openalex.org/W3009652626","https://openalex.org/W3018757597","https://openalex.org/W3087834045","https://openalex.org/W3096609285","https://openalex.org/W3114340008","https://openalex.org/W3137932859","https://openalex.org/W3138516171","https://openalex.org/W3139049060","https://openalex.org/W3145185940","https://openalex.org/W3151130473","https://openalex.org/W3162285386","https://openalex.org/W3165924482","https://openalex.org/W3167456680","https://openalex.org/W3171125843","https://openalex.org/W3174320978","https://openalex.org/W3179565650","https://openalex.org/W3203003533","https://openalex.org/W3205005447","https://openalex.org/W3207918547","https://openalex.org/W4210787071","https://openalex.org/W4213117431","https://openalex.org/W4214561053","https://openalex.org/W4214624153","https://openalex.org/W4214777292","https://openalex.org/W4221145747","https://openalex.org/W4226022249","https://openalex.org/W4226512186","https://openalex.org/W4244705922","https://openalex.org/W6674330103","https://openalex.org/W6729983426","https://openalex.org/W6730150481","https://openalex.org/W6739901393","https://openalex.org/W6777046832","https://openalex.org/W6792695861","https://openalex.org/W6795475546","https://openalex.org/W6796814978","https://openalex.org/W6803426362"],"related_works":["https://openalex.org/W3086692397","https://openalex.org/W2095216647","https://openalex.org/W2128798187","https://openalex.org/W4382561102","https://openalex.org/W2984298793","https://openalex.org/W2299928030","https://openalex.org/W2136340243","https://openalex.org/W4225320867","https://openalex.org/W2055533257","https://openalex.org/W3151182984"],"abstract_inverted_index":{"Existing":[0],"CNN-based":[1],"light":[2,74],"field":[3,33,75],"de-occlusion":[4,41,76,200],"(LF-DeOcc)":[5],"methods":[6],"suffer":[7],"from":[8],"occlusion":[9,140],"removal":[10],"performance":[11,42,126,197],"degradation":[12],"in":[13,91,183],"the":[14,30,40,46,87,104,114,152,167,189,196,210],"presence":[15],"of":[16,34,89,107,142,198,204],"large-size":[17],"occlusions.":[18,110],"In":[19],"this":[20],"paper,":[21],"we":[22],"infer":[23],"that":[24,39,151],"it":[25],"is":[26,43,70,134,155,207],"possibly":[27],"caused":[28],"by":[29,112,187],"limited":[31],"receptive":[32,47,68],"CNN":[35],"and":[36,58,66,116,136,145,163,170],"experimentally":[37],"demonstrate":[38],"high-related":[44],"to":[45,62,84,102,157,194],"field.":[48],"Therefore,":[49],"a":[50,128,176],"novel":[51],"LF-DeOcc":[52],"network":[53,154],"based":[54],"on":[55,166],"Swin":[56],"Transformer":[57],"CNN,":[59],"which":[60],"aims":[61],"exploit":[63],"both":[64],"global":[65,105,115],"local":[67,93,117],"fields,":[69],"firstly":[71],"proposed":[72,153],"for":[73,86],"task.":[77],"CNNs":[78],"are":[79,97],"employed":[80,98],"at":[81,99],"shallow":[82],"layers":[83,101],"compensate":[85],"deficiency":[88],"Transformers":[90,96],"extracting":[92],"features,":[94,118],"while":[95],"deep":[100],"capture":[103],"patterns":[106],"large":[108,129],"size":[109],"Hence,":[111],"integrating":[113],"one":[119],"could":[120],"restore":[121],"occlusion-free":[122],"images":[123],"effectively.":[124],"For":[125],"evaluation,":[127],"dataset":[130,169],"with":[131,138],"mild-to-severe":[132],"occlusions":[133],"developed":[135,172],"tested,":[137],"average":[139],"rates":[141],"19.82%,":[143],"32.13%":[144],"40.56%,":[146],"respectively.":[147,174],"Experimental":[148],"results":[149],"show":[150],"superior":[156],"state-of-the-art":[158],"methods,":[159],"achieving":[160],"27.87":[161],"dB":[162,165],"29.46":[164],"public":[168],"our":[171,184,205],"dataset,":[173],"Finally,":[175],"new":[177,211],"evaluation":[178,212],"method":[179],"has":[180],"been":[181],"presented":[182],"work,":[185],"i.e.,":[186],"utilizing":[188],"real":[190],"target":[191],"detection":[192],"task":[193],"evaluate":[195],"LF":[199],"algorithms.":[201],"The":[202],"practicability":[203],"algorithm":[206],"validated":[208],"using":[209],"method.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
