{"id":"https://openalex.org/W4225644355","doi":"https://doi.org/10.1109/tifs.2022.3164215","title":"A Unified Framework for Bidirectional Prototype Learning From Contaminated Faces Across Heterogeneous Domains","display_name":"A Unified Framework for Bidirectional Prototype Learning From Contaminated Faces Across Heterogeneous Domains","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4225644355","doi":"https://doi.org/10.1109/tifs.2022.3164215"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2022.3164215","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2022.3164215","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Information Forensics and Security","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/A5045734633","display_name":"Meng Pang","orcid":"https://orcid.org/0000-0001-7184-2043"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Meng Pang","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101789833","display_name":"Binghui Wang","orcid":"https://orcid.org/0000-0001-5616-060X"},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Binghui Wang","raw_affiliation_strings":["Department of Computer Science, Illinois Institute of Technology, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Illinois Institute of Technology, Chicago, IL, USA","institution_ids":["https://openalex.org/I180949307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021639720","display_name":"Siyu Huang","orcid":"https://orcid.org/0000-0002-2929-0115"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siyu Huang","raw_affiliation_strings":["John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, USA","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038516431","display_name":"Yiu\u2010ming Cheung","orcid":"https://orcid.org/0000-0001-7629-4648"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yiu-Ming Cheung","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong, China","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024709593","display_name":"Bihan Wen","orcid":"https://orcid.org/0000-0002-6874-6453"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Bihan Wen","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5045734633"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":1.8339,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.86372136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"17","issue":null,"first_page":"1544","last_page":"1557"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998999834060669,"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/T11448","display_name":"Face recognition and analysis","score":0.9998999834060669,"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":0.9970999956130981,"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/T12301","display_name":"Facial Nerve Paralysis Treatment and Research","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8332991600036621},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.641343355178833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.603485107421875},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5686528086662292},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5113184452056885},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.5091869235038757},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4956473112106323},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.44093823432922363},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4109550416469574},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.352486252784729},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3483768701553345},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.07503950595855713}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8332991600036621},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.641343355178833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.603485107421875},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5686528086662292},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5113184452056885},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.5091869235038757},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4956473112106323},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.44093823432922363},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4109550416469574},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.352486252784729},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3483768701553345},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.07503950595855713},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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:10.1109/tifs.2022.3164215","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2022.3164215","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G4498375273","display_name":null,"funder_award_id":"RC-IRCMs/18-19/SCI/01","funder_id":"https://openalex.org/F4320320955","funder_display_name":"Hong Kong Baptist University"},{"id":"https://openalex.org/G4787607161","display_name":null,"funder_award_id":"RC-FNRA-IG/18-19/SCI/03","funder_id":"https://openalex.org/F4320320955","funder_display_name":"Hong Kong Baptist University"},{"id":"https://openalex.org/G8811941144","display_name":null,"funder_award_id":"61672444","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"},{"id":"https://openalex.org/F4320320955","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131"},{"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":73,"referenced_works":["https://openalex.org/W97858523","https://openalex.org/W1425104224","https://openalex.org/W1522301498","https://openalex.org/W1913277147","https://openalex.org/W1964393179","https://openalex.org/W1980093854","https://openalex.org/W1981902088","https://openalex.org/W2027922120","https://openalex.org/W2033419168","https://openalex.org/W2034136097","https://openalex.org/W2053186076","https://openalex.org/W2061273563","https://openalex.org/W2085810284","https://openalex.org/W2088900896","https://openalex.org/W2098017479","https://openalex.org/W2099471712","https://openalex.org/W2109945314","https://openalex.org/W2117033808","https://openalex.org/W2140556441","https://openalex.org/W2141345255","https://openalex.org/W2153288431","https://openalex.org/W2345232174","https://openalex.org/W2404498690","https://openalex.org/W2510111515","https://openalex.org/W2515770085","https://openalex.org/W2520742745","https://openalex.org/W2551624499","https://openalex.org/W2568415986","https://openalex.org/W2570189907","https://openalex.org/W2604145683","https://openalex.org/W2643291430","https://openalex.org/W2737047298","https://openalex.org/W2779862145","https://openalex.org/W2788474722","https://openalex.org/W2790072229","https://openalex.org/W2895205756","https://openalex.org/W2898571185","https://openalex.org/W2903798738","https://openalex.org/W2946791315","https://openalex.org/W2962793481","https://openalex.org/W2962931900","https://openalex.org/W2962947361","https://openalex.org/W2963073614","https://openalex.org/W2963460857","https://openalex.org/W2963516695","https://openalex.org/W2963600167","https://openalex.org/W2964323748","https://openalex.org/W2964337551","https://openalex.org/W2965613638","https://openalex.org/W3000566195","https://openalex.org/W3001208314","https://openalex.org/W3008762881","https://openalex.org/W3016316981","https://openalex.org/W3017300133","https://openalex.org/W3034956129","https://openalex.org/W3035592938","https://openalex.org/W3087056823","https://openalex.org/W3105974621","https://openalex.org/W3106537486","https://openalex.org/W3110137169","https://openalex.org/W3120410539","https://openalex.org/W3125695697","https://openalex.org/W3134430547","https://openalex.org/W3139414251","https://openalex.org/W3155394509","https://openalex.org/W3183191242","https://openalex.org/W3190820385","https://openalex.org/W3209159014","https://openalex.org/W4247967121","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6688325169","https://openalex.org/W6734074887"],"related_works":["https://openalex.org/W2103413230","https://openalex.org/W1899364738","https://openalex.org/W43171467","https://openalex.org/W2908959303","https://openalex.org/W2990667865","https://openalex.org/W2663901905","https://openalex.org/W2138569648","https://openalex.org/W2143020626","https://openalex.org/W2126942212","https://openalex.org/W2116300362"],"abstract_inverted_index":{"Existing":[0],"heterogeneous":[1,39,83,99,138,197],"face":[2,49,125,139,175,185,198],"synthesis":[3],"(HFS)":[4],"methods":[5],"focus":[6],"on":[7,195],"performing":[8],"accurate":[9],"image-to-image":[10],"translation":[11],"across":[12,101],"domains,":[13,179],"while":[14],"they":[15],"cannot":[16],"effectively":[17],"remove":[18],"the":[19,63,98,118,123,159,162,168,181,204],"nuisance":[20],"facial":[21,53,201],"variations":[22,54,202],"such":[23,31,157],"as":[24,105,107],"poses,":[25],"expressions":[26],"or":[27],"occlusions.":[28],"To":[29,44,71],"address":[30],"challenges,":[32],"this":[33],"paper":[34],"studies":[35,194],"a":[36,48,56,67,76,88],"new":[37],"practical":[38],"prototype":[40,65,84,120,164,171],"learning":[41,85,90,117],"(HPL)":[42],"problem.":[43],"be":[45],"specific,":[46],"given":[47],"image":[50,176],"contaminated":[51,124],"by":[52],"from":[55,127,177],"source":[57,129],"domain,":[58],"HPL":[59],"aims":[60],"to":[61,95,135],"reconstruct":[62,97],"variation-free":[64],"in":[66,133],"specified":[68],"target":[69,131],"domain.":[70],"tackle":[72],"HPL,":[73],"we":[74],"propose":[75],"unified":[77],"and":[78,130,148,166,180,187],"end-to-end":[79],"framework":[80],"named":[81],"bidirectional":[82,89],"(BHPL).":[86],"As":[87],"framework,":[91],"BHPL":[92,113,141],"is":[93,114],"able":[94],"simultaneously":[96],"prototypes":[100],"<italic":[102,108],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[103,109],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">source-to-target</i>":[104],"well":[106],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">target-to-source</i>":[110],"domains.":[111],"Furthermore,":[112],"capable":[115],"of":[116,143,206],"identity":[119,163,186],"features":[121],"for":[122,172],"images":[126],"both":[128,178],"domains":[132],"order":[134],"perform":[136],"robust":[137],"recognition.":[140],"consists":[142],"an":[144,154],"encoder-decoder":[145],"structural":[146],"generator":[147,160],"two":[149],"dual-task":[150],"discriminators,":[151],"which":[152],"play":[153],"adversarial":[155],"game":[156],"that":[158],"learns":[161],"feature":[165],"generates":[167],"cross-domain":[169],"identity-preserved":[170],"each":[173],"input":[174],"discriminators":[182],"accurately":[183],"predict":[184],"distinguish":[188],"real":[189],"versus":[190],"fake":[191],"prototypes.":[192],"Empirically":[193],"multiple":[196],"datasets":[199],"containing":[200],"demonstrate":[203],"effectiveness":[205],"BHPL.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
