{"id":"https://openalex.org/W2073575766","doi":"https://doi.org/10.1145/2733373.2806291","title":"Robust Deep Auto-encoder for Occluded Face Recognition","display_name":"Robust Deep Auto-encoder for Occluded Face Recognition","publication_year":2015,"publication_date":"2015-10-13","ids":{"openalex":"https://openalex.org/W2073575766","doi":"https://doi.org/10.1145/2733373.2806291","mag":"2073575766"},"language":"en","primary_location":{"id":"doi:10.1145/2733373.2806291","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2733373.2806291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd 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/A5011448801","display_name":"Lele Cheng","orcid":"https://orcid.org/0000-0002-4267-6063"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lele Cheng","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100746487","display_name":"Jinjun Wang","orcid":"https://orcid.org/0000-0002-9434-0617"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinjun Wang","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100687952","display_name":"Yihong Gong","orcid":"https://orcid.org/0000-0002-1793-5836"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihong Gong","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102766110","display_name":"Qiqi Hou","orcid":"https://orcid.org/0009-0009-3472-6401"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiqi Hou","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1099","last_page":"1102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9983999729156494,"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/T10057","display_name":"Face and Expression Recognition","score":0.9983999729156494,"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/T11448","display_name":"Face recognition and analysis","score":0.9977999925613403,"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":0.9879000186920166,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8144353628158569},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7421847581863403},{"id":"https://openalex.org/keywords/occlusion","display_name":"Occlusion","score":0.7129855155944824},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.7073928117752075},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.624877393245697},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6093395948410034},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.569770097732544},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48611927032470703},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.41287410259246826},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.054405778646469116}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8144353628158569},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7421847581863403},{"id":"https://openalex.org/C2776268601","wikidata":"https://www.wikidata.org/wiki/Q968808","display_name":"Occlusion","level":2,"score":0.7129855155944824},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.7073928117752075},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.624877393245697},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6093395948410034},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.569770097732544},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48611927032470703},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.41287410259246826},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.054405778646469116},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2733373.2806291","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2733373.2806291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM international conference on Multimedia","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":11,"referenced_works":["https://openalex.org/W1995997122","https://openalex.org/W2006793117","https://openalex.org/W2029402687","https://openalex.org/W2037642501","https://openalex.org/W2054814877","https://openalex.org/W2097729189","https://openalex.org/W2098477387","https://openalex.org/W2131628350","https://openalex.org/W2145094598","https://openalex.org/W2146337213","https://openalex.org/W4231109964"],"related_works":["https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2142795561","https://openalex.org/W2397288865","https://openalex.org/W4205302943","https://openalex.org/W2561132942","https://openalex.org/W3086692397","https://openalex.org/W3155418658","https://openalex.org/W2384651879"],"abstract_inverted_index":{"Occlusions":[0],"by":[1,69],"sunglasses,":[2],"scarf,":[3],"hats,":[4],"beard,":[5],"shadow":[6],"etc,":[7],"can":[8],"significantly":[9],"reduce":[10],"the":[11,102,105,119,133],"performance":[12,140],"of":[13,23,101,107,127],"face":[14,27,45,65,114],"recognition":[15,28,66,139],"systems.":[16],"Although":[17],"there":[18,36],"exists":[19],"a":[20,52,85,125],"rich":[21],"literature":[22],"researches":[24],"focusing":[25],"on":[26,112],"with":[29,75],"illuminations,":[30],"poses":[31],"and":[32,79,104,130,132],"facial":[33,57,72],"expression":[34],"variations,":[35],"is":[37,122],"very":[38],"limited":[39],"work":[40],"reported":[41],"for":[42,71],"occlusion":[43,73,77,81,128],"robust":[44,123],"recognition.":[46],"In":[47],"this":[48,88],"paper,":[49],"we":[50],"present":[51],"method":[53,121],"to":[54,63,124],"restore":[55],"occluded":[56,143],"regions":[58],"using":[59],"deep":[60],"learning":[61],"technique":[62],"improve":[64],"performance.":[67],"Inspired":[68],"SSDA":[70,94],"removal":[74],"known":[76],"type":[78],"explicit":[80],"location":[82],"detection":[83],"from":[84],"preprocessing":[86],"step,":[87],"paper":[89],"further":[90],"introduces":[91],"Double":[92],"Channel":[93],"(DC-SSDA)":[95],"which":[96],"requires":[97],"no":[98],"prior":[99],"knowledge":[100],"types":[103,129],"locations":[106],"occlusions.":[108],"Experimental":[109],"results":[110],"based":[111],"CMU-PIE":[113],"database":[115],"have":[116],"showed":[117],"that,":[118],"proposed":[120],"variety":[126],"locations,":[131],"restored":[134],"faces":[135],"could":[136],"yield":[137],"significant":[138],"improvements":[141],"over":[142],"ones.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}