{"id":"https://openalex.org/W3136664515","doi":"https://doi.org/10.1109/icme51207.2021.9428445","title":"Learning Long Term Style Preserving Blind Video Temporal Consistency","display_name":"Learning Long Term Style Preserving Blind Video Temporal Consistency","publication_year":2021,"publication_date":"2021-06-09","ids":{"openalex":"https://openalex.org/W3136664515","doi":"https://doi.org/10.1109/icme51207.2021.9428445","mag":"3136664515"},"language":"en","primary_location":{"id":"doi:10.1109/icme51207.2021.9428445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2103.07278","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056992157","display_name":"Hugo Thimonier","orcid":"https://orcid.org/0000-0003-4762-477X"},"institutions":[{"id":"https://openalex.org/I14285755","display_name":"L'Or\u00e9al (France)","ror":"https://ror.org/00nb3j622","country_code":"FR","type":"company","lineage":["https://openalex.org/I14285755"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Hugo Thimonier","raw_affiliation_strings":["L&#x2019;Or&#x00E9;al Research and Innovation,France","L'OREAL"],"affiliations":[{"raw_affiliation_string":"L&#x2019;Or&#x00E9;al Research and Innovation,France","institution_ids":[]},{"raw_affiliation_string":"L'OREAL","institution_ids":["https://openalex.org/I14285755"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063780874","display_name":"Julien Despois","orcid":"https://orcid.org/0000-0002-3369-2088"},"institutions":[{"id":"https://openalex.org/I14285755","display_name":"L'Or\u00e9al (France)","ror":"https://ror.org/00nb3j622","country_code":"FR","type":"company","lineage":["https://openalex.org/I14285755"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Julien Despois","raw_affiliation_strings":["L&#x2019;Or&#x00E9;al Research and Innovation,France","L'OREAL"],"affiliations":[{"raw_affiliation_string":"L&#x2019;Or&#x00E9;al Research and Innovation,France","institution_ids":[]},{"raw_affiliation_string":"L'OREAL","institution_ids":["https://openalex.org/I14285755"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072791873","display_name":"Robin Kips","orcid":"https://orcid.org/0000-0003-0231-6415"},"institutions":[{"id":"https://openalex.org/I14285755","display_name":"L'Or\u00e9al (France)","ror":"https://ror.org/00nb3j622","country_code":"FR","type":"company","lineage":["https://openalex.org/I14285755"]},{"id":"https://openalex.org/I4210145102","display_name":"Institut Polytechnique de Paris","ror":"https://ror.org/042tfbd02","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4210146074","display_name":"Analyse, G\u00e9om\u00e9trie et Mod\u00e9lisation","ror":"https://ror.org/03qgt2624","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210141950","https://openalex.org/I4210142324","https://openalex.org/I4210146074"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Robin Kips","raw_affiliation_strings":["L&#x2019;Or&#x00E9;al Research and Innovation,France","D\u00e9partement Images, Donn\u00e9es, Signal","Image, Mod\u00e9lisation, Analyse, GEom\u00e9trie, Synth\u00e8se","L'OREAL","Institut Polytechnique de Paris"],"affiliations":[{"raw_affiliation_string":"L&#x2019;Or&#x00E9;al Research and Innovation,France","institution_ids":[]},{"raw_affiliation_string":"D\u00e9partement Images, Donn\u00e9es, Signal","institution_ids":[]},{"raw_affiliation_string":"Image, Mod\u00e9lisation, Analyse, GEom\u00e9trie, Synth\u00e8se","institution_ids":["https://openalex.org/I4210146074"]},{"raw_affiliation_string":"L'OREAL","institution_ids":["https://openalex.org/I14285755"]},{"raw_affiliation_string":"Institut Polytechnique de Paris","institution_ids":["https://openalex.org/I4210145102"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106489052","display_name":"Perrot Matthieu","orcid":null},"institutions":[{"id":"https://openalex.org/I14285755","display_name":"L'Or\u00e9al (France)","ror":"https://ror.org/00nb3j622","country_code":"FR","type":"company","lineage":["https://openalex.org/I14285755"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Matthieu Perrot","raw_affiliation_strings":["L&#x2019;Or&#x00E9;al Research and Innovation,France","L'OREAL"],"affiliations":[{"raw_affiliation_string":"L&#x2019;Or&#x00E9;al Research and Innovation,France","institution_ids":[]},{"raw_affiliation_string":"L'OREAL","institution_ids":["https://openalex.org/I14285755"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056992157"],"corresponding_institution_ids":["https://openalex.org/I14285755"],"apc_list":null,"apc_paid":null,"fwci":0.0971,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35487988,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"abs 1602 7360","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9991999864578247,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9991999864578247,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9987999796867371,"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":0.998199999332428,"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/term","display_name":"Term (time)","score":0.7472085356712341},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7102973461151123},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6152083873748779},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.568547248840332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5069122910499573},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4431946575641632},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.06170293688774109},{"id":"https://openalex.org/keywords/visual-arts","display_name":"Visual arts","score":0.05692476034164429}],"concepts":[{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7472085356712341},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7102973461151123},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6152083873748779},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.568547248840332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5069122910499573},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4431946575641632},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.06170293688774109},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.05692476034164429},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icme51207.2021.9428445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2103.07278","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.07278","pdf_url":"https://arxiv.org/pdf/2103.07278","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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:HAL:hal-03204046v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03204046","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Multimedia and Expo, Jul 2021, Virtual, France","raw_type":"Conference papers"},{"id":"doi:10.48550/arxiv.2103.07278","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2103.07278","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2103.07278","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.07278","pdf_url":"https://arxiv.org/pdf/2103.07278","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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"},"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1530781137","https://openalex.org/W1686810756","https://openalex.org/W2040369854","https://openalex.org/W2279098554","https://openalex.org/W2470139095","https://openalex.org/W2475287302","https://openalex.org/W2560474170","https://openalex.org/W2765302960","https://openalex.org/W2783879794","https://openalex.org/W2886787375","https://openalex.org/W2962785568","https://openalex.org/W2969803502","https://openalex.org/W2996880115","https://openalex.org/W3024643182","https://openalex.org/W3041830731","https://openalex.org/W3102542372","https://openalex.org/W3109135481","https://openalex.org/W3123632567","https://openalex.org/W6628877408","https://openalex.org/W6637373629","https://openalex.org/W6695314431","https://openalex.org/W6785315082"],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2058170566","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2772917594","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747"],"abstract_inverted_index":{"When":[0],"trying":[1],"to":[2,7,15,43,47],"independently":[3],"apply":[4],"image-trained":[5],"algorithms":[6],"successive":[8],"frames":[9],"in":[10,57],"videos,":[11],"noxious":[12],"flickering":[13],"tends":[14],"appear.":[16],"State-of-the-art":[17],"post-processing":[18,40],"techniques":[19],"that":[20,118],"aim":[21],"at":[22],"fostering":[23],"temporal":[24,28,97],"consistency,":[25],"generate":[26],"other":[27],"artifacts":[29],"and":[30,74,113,116,127],"visually":[31],"alter":[32],"the":[33,44,58,101,111,130,134],"style":[34,50,89,104,132],"of":[35,60,133],"videos.":[36],"We":[37,106],"propose":[38],"a":[39,61,70,87],"model,":[41],"agnostic":[42],"transformation":[45],"applied":[46],"videos":[48,135],"(e.g.":[49],"transfer,":[51],"image":[52],"manipulation":[53],"using":[54,69],"GANs,":[55],"etc.),":[56],"form":[59],"recurrent":[62],"neural":[63],"network.":[64],"Our":[65],"model":[66,109],"is":[67],"trained":[68],"Ping":[71],"Pong":[72],"procedure":[73],"its":[75],"corresponding":[76],"loss,":[77],"recently":[78],"introduced":[79],"for":[80],"GAN":[81],"video":[82],"generation,":[83],"as":[84,86],"well":[85],"novel":[88],"preserving":[90],"perceptual":[91],"loss.":[92],"The":[93],"former":[94],"improves":[95],"long-term":[96],"consistency":[98],"learning,":[99],"while":[100],"latter":[102],"fosters":[103],"preservation.":[105],"evaluate":[107],"our":[108,119],"on":[110],"DAVIS":[112],"videvo.net":[114],"datasets":[115],"show":[117],"approach":[120],"offers":[121],"state-of-the-art":[122],"results":[123],"concerning":[124],"flicker":[125],"removal,":[126],"better":[128],"keeps":[129],"overall":[131],"than":[136],"previous":[137],"approaches.":[138]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
