{"id":"https://openalex.org/W2884732669","doi":"https://doi.org/10.1007/s11263-018-1130-2","title":"Face Mask Extraction in Video Sequence","display_name":"Face Mask Extraction in Video Sequence","publication_year":2018,"publication_date":"2018-11-16","ids":{"openalex":"https://openalex.org/W2884732669","doi":"https://doi.org/10.1007/s11263-018-1130-2","mag":"2884732669"},"language":"en","primary_location":{"id":"doi:10.1007/s11263-018-1130-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-018-1130-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-018-1130-2.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11263-018-1130-2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yujiang Wang","orcid":"https://orcid.org/0000-0002-6220-029X"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Yujiang Wang","raw_affiliation_strings":["Department of Computing, Imperial College London, 180 Queens Gate, London, UK"],"raw_orcid":"https://orcid.org/0000-0002-6220-029X","affiliations":[{"raw_affiliation_string":"Department of Computing, Imperial College London, 180 Queens Gate, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bingnan Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bingnan Luo","raw_affiliation_strings":["Department of Computing, Imperial College London, 180 Queens Gate, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, Imperial College London, 180 Queens Gate, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jie Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jie Shen","raw_affiliation_strings":["Department of Computing, Imperial College London, 180 Queens Gate, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, Imperial College London, 180 Queens Gate, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":null,"display_name":"Maja Pantic","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Maja Pantic","raw_affiliation_strings":["Department of Computing, Imperial College London, 180 Queens Gate, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, Imperial College London, 180 Queens Gate, London, UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":{"value":3690,"currency":"USD","value_usd":3690},"apc_paid":{"value":3690,"currency":"USD","value_usd":3690},"fwci":0.9702,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.77303806,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"127","issue":"6-7","first_page":"625","last_page":"641"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9476000070571899,"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":0.9476000070571899,"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":0.015699999406933784,"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/T10057","display_name":"Face and Expression Recognition","score":0.010599999688565731,"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/segmentation","display_name":"Segmentation","score":0.6818000078201294},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6700000166893005},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6312999725341797},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5561000108718872},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.46959999203681946},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4632999897003174},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.43959999084472656},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4156000018119812}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.845300018787384},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7989000082015991},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6818000078201294},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6700000166893005},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6312999725341797},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5561000108718872},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5468000173568726},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.46959999203681946},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4632999897003174},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.43959999084472656},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4156000018119812},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.3718000054359436},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.36079999804496765},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34869998693466187},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3156999945640564},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.27900001406669617},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.272599995136261},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.2680000066757202},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26649999618530273},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.25529998540878296},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.25459998846054077}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s11263-018-1130-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-018-1130-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-018-1130-2.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1807.09207","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1807.09207","pdf_url":"https://arxiv.org/pdf/1807.09207","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:spiral.imperial.ac.uk:10044/1/62742","is_oa":false,"landing_page_url":"http://arxiv.org/abs/1807.09207v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401396","display_name":"Spiral (Imperial College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I47508984","host_organization_name":"Imperial College London","host_organization_lineage":["https://openalex.org/I47508984"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Working Paper"}],"best_oa_location":{"id":"doi:10.1007/s11263-018-1130-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-018-1130-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-018-1130-2.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2088235307","display_name":"Face Matching for Automatic Identity Retrieval, Recognition, Verification and Management","funder_award_id":"EP/N007743/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G3322805620","display_name":null,"funder_award_id":"FACER2VM","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G4770326006","display_name":null,"funder_award_id":"EP/N007743/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G649253144","display_name":null,"funder_award_id":"EP/J017787/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G779194729","display_name":null,"funder_award_id":"EP/H016988/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320320283","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2884732669.pdf","grobid_xml":"https://content.openalex.org/works/W2884732669.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W589665618","https://openalex.org/W1485009520","https://openalex.org/W1669299330","https://openalex.org/W1796263212","https://openalex.org/W1849277567","https://openalex.org/W1903029394","https://openalex.org/W1961270558","https://openalex.org/W1976948919","https://openalex.org/W2006902452","https://openalex.org/W2029859592","https://openalex.org/W2058961190","https://openalex.org/W2087681821","https://openalex.org/W2097117768","https://openalex.org/W2114096665","https://openalex.org/W2121684305","https://openalex.org/W2124592697","https://openalex.org/W2129210471","https://openalex.org/W2141200610","https://openalex.org/W2151971489","https://openalex.org/W2159246913","https://openalex.org/W2163605009","https://openalex.org/W2163879248","https://openalex.org/W2166694921","https://openalex.org/W2194775991","https://openalex.org/W2200599981","https://openalex.org/W2251810906","https://openalex.org/W2284800790","https://openalex.org/W2295744361","https://openalex.org/W2341528187","https://openalex.org/W2404464147","https://openalex.org/W2415731916","https://openalex.org/W2460260369","https://openalex.org/W2461677039","https://openalex.org/W2474608001","https://openalex.org/W2519537448","https://openalex.org/W2539528817","https://openalex.org/W2560311620","https://openalex.org/W2602044573","https://openalex.org/W2605246626","https://openalex.org/W2962916206","https://openalex.org/W2963253279","https://openalex.org/W2963391479","https://openalex.org/W2963660470","https://openalex.org/W2963866581","https://openalex.org/W2963881378","https://openalex.org/W6637625270","https://openalex.org/W6677618333","https://openalex.org/W6735927292","https://openalex.org/W7010789842"],"related_works":[],"abstract_inverted_index":{"Inspired":[0],"by":[1],"the":[2,37,76,97,122,132,148,153,157],"recent":[3],"development":[4],"of":[5,40,75],"deep":[6],"network-based":[7],"methods":[8],"in":[9,23,79,156],"semantic":[10],"image":[11],"segmentation,":[12],"we":[13,84],"introduce":[14],"an":[15],"end-to-end":[16],"trainable":[17],"model":[18,66,112,151],"for":[19],"face":[20,30],"mask":[21],"extraction":[22],"video":[24,80],"sequence.":[25],"Comparing":[26],"to":[27,94,105,119,143],"landmark-based":[28],"sparse":[29],"shape":[31,50],"representation,":[32],"our":[33,63],"method":[34,134],"can":[35,45],"produce":[36],"segmentation":[38,92,108],"masks":[39],"individual":[41],"facial":[42],"components,":[43],"which":[44],"better":[46],"reflect":[47],"their":[48],"detailed":[49],"variations.":[51],"By":[52],"integrating":[53],"convolutional":[54,60],"LSTM":[55],"(ConvLSTM)":[56],"algorithm":[57],"with":[58],"fully":[59],"networks":[61],"(FCN),":[62],"new":[64],"ConvLSTM-FCN":[65],"works":[67],"on":[68,121,152],"a":[69,87,137],"per-sequence":[70],"basis":[71],"and":[72,113,125],"takes":[73],"advantage":[74],"temporal":[77],"correlation":[78],"clips.":[81],"In":[82,103],"addition,":[83],"also":[85],"propose":[86],"novel":[88],"loss":[89],"function,":[90],"called":[91],"loss,":[93],"directly":[95],"optimise":[96],"intersection":[98],"over":[99,147],"union":[100],"(IoU)":[101],"performances.":[102],"practice,":[104],"further":[106],"increase":[107],"accuracy,":[109],"one":[110],"primary":[111],"two":[114],"additional":[115],"models":[116],"were":[117],"trained":[118],"focus":[120],"face,":[123],"eyes,":[124],"mouth":[126],"regions,":[127],"respectively.":[128],"Our":[129],"experiment":[130],"shows":[131],"proposed":[133],"has":[135],"achieved":[136],"16.99%":[138],"relative":[139],"improvement":[140],"(from":[141],"54.50":[142],"63.76%":[144],"mean":[145],"IoU)":[146],"baseline":[149],"FCN":[150],"300":[154],"Videos":[155],"Wild":[158],"(300VW)":[159],"dataset.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2018-08-03T00:00:00"}