{"id":"https://openalex.org/W4297511347","doi":"https://doi.org/10.1109/icip46576.2022.9898046","title":"Joint Disentanglement of Labels and Their Features with VAE","display_name":"Joint Disentanglement of Labels and Their Features with VAE","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4297511347","doi":"https://doi.org/10.1109/icip46576.2022.9898046"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9898046","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9898046","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-03780425/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011267501","display_name":"Kaifeng Zou","orcid":"https://orcid.org/0000-0003-4460-3690"},"institutions":[{"id":"https://openalex.org/I4210100283","display_name":"Laboratoire des Sciences de l'Ing\u00e9nieur, de l'Informatique et de l'Imagerie","ror":"https://ror.org/00k4e5n71","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I2801509770","https://openalex.org/I4210095849","https://openalex.org/I4210100283","https://openalex.org/I4210159245","https://openalex.org/I68947357"]},{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Kaifeng Zou","raw_affiliation_strings":["University of Strasbourg,ICube Laboratory,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Strasbourg,ICube Laboratory,France","institution_ids":["https://openalex.org/I4210100283","https://openalex.org/I68947357"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083922062","display_name":"Sylvain Faisan","orcid":"https://orcid.org/0000-0003-3763-9425"},"institutions":[{"id":"https://openalex.org/I4210100283","display_name":"Laboratoire des Sciences de l'Ing\u00e9nieur, de l'Informatique et de l'Imagerie","ror":"https://ror.org/00k4e5n71","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I2801509770","https://openalex.org/I4210095849","https://openalex.org/I4210100283","https://openalex.org/I4210159245","https://openalex.org/I68947357"]},{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Sylvain Faisan","raw_affiliation_strings":["University of Strasbourg,ICube Laboratory,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Strasbourg,ICube Laboratory,France","institution_ids":["https://openalex.org/I4210100283","https://openalex.org/I68947357"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063294821","display_name":"Fabrice Heitz","orcid":"https://orcid.org/0000-0002-3004-0957"},"institutions":[{"id":"https://openalex.org/I4210100283","display_name":"Laboratoire des Sciences de l'Ing\u00e9nieur, de l'Informatique et de l'Imagerie","ror":"https://ror.org/00k4e5n71","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I2801509770","https://openalex.org/I4210095849","https://openalex.org/I4210100283","https://openalex.org/I4210159245","https://openalex.org/I68947357"]},{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fabrice Heitz","raw_affiliation_strings":["University of Strasbourg,ICube Laboratory,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Strasbourg,ICube Laboratory,France","institution_ids":["https://openalex.org/I4210100283","https://openalex.org/I68947357"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009331405","display_name":"S\u00e9bastien Valette","orcid":"https://orcid.org/0000-0001-7549-4808"},"institutions":[{"id":"https://openalex.org/I4210138704","display_name":"Centre de Recherche en Acquisition et Traitement de l'Image pour la Sant\u00e9","ror":"https://ror.org/03smk3872","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100532134","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I4210095849","https://openalex.org/I4210100596","https://openalex.org/I4210105738","https://openalex.org/I4210138704","https://openalex.org/I4210159245","https://openalex.org/I4405259976","https://openalex.org/I48430043"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Sebastien Valette","raw_affiliation_strings":["CREATIS, INSA-Lyon,Lyon,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CREATIS, INSA-Lyon,Lyon,France","institution_ids":["https://openalex.org/I4210138704"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2359,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.57963094,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1341","last_page":"1345"},"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":0.9994000196456909,"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":0.9994000196456909,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9958000183105469,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.7267520427703857},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.7198496460914612},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.705744206905365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6356048583984375},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.5790126919746399},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5677996873855591},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5608009696006775},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4603336751461029},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38564780354499817}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7267520427703857},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.7198496460914612},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.705744206905365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6356048583984375},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.5790126919746399},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5677996873855591},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5608009696006775},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4603336751461029},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38564780354499817},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icip46576.2022.9898046","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9898046","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03780425v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03780425","pdf_url":"https://hal.science/hal-03780425/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Image Processing 2022, Oct 2022, Bordeaux, France. ⟨10.1109/ICIP46576.2022.9898046⟩","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:univoak.eu:islandora_158024","is_oa":true,"landing_page_url":"https://univoak.eu/islandora/object/islandora%3A158024","pdf_url":null,"source":{"id":"https://openalex.org/S4306402449","display_name":"univOAK (4 institutions : Universit\u00e9 de Strasbourg, Universit\u00e9 de Haute Alsace, INSA Strasbourg, Biblioth\u00e8que Nationale et Universitaire de Strasbourg)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210100283","host_organization_name":"Laboratoire des Sciences de l'Ing\u00e9nieur, de l'Informatique et de l'Imagerie","host_organization_lineage":["https://openalex.org/I4210100283"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-03780425v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03780425","pdf_url":"https://hal.science/hal-03780425/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Image Processing 2022, Oct 2022, Bordeaux, France. ⟨10.1109/ICIP46576.2022.9898046⟩","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G6468752332","display_name":"Towards Open processing of PACS data","funder_award_id":"ANR-19-CE45-0015","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4297511347.pdf","grobid_xml":"https://content.openalex.org/works/W4297511347.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1583837637","https://openalex.org/W1834627138","https://openalex.org/W2108501770","https://openalex.org/W2163922914","https://openalex.org/W2603777577","https://openalex.org/W2621357189","https://openalex.org/W2752796333","https://openalex.org/W2769340603","https://openalex.org/W2897959392","https://openalex.org/W2914584698","https://openalex.org/W2962785568","https://openalex.org/W2963799213","https://openalex.org/W2964118024","https://openalex.org/W2964127395","https://openalex.org/W3094502228","https://openalex.org/W4313595969","https://openalex.org/W6631190155","https://openalex.org/W6640963894","https://openalex.org/W6675944832","https://openalex.org/W6738835615","https://openalex.org/W6744627333","https://openalex.org/W6746124379","https://openalex.org/W6748223763","https://openalex.org/W6748391871","https://openalex.org/W6755577189","https://openalex.org/W6756663807","https://openalex.org/W6790293570"],"related_works":["https://openalex.org/W2067317451","https://openalex.org/W2154771632","https://openalex.org/W4211085505","https://openalex.org/W3122478268","https://openalex.org/W2084758217","https://openalex.org/W408804804","https://openalex.org/W4231021675","https://openalex.org/W3086365953","https://openalex.org/W4226072953","https://openalex.org/W2392606101"],"abstract_inverted_index":{"Most":[0],"of":[1,33,119],"previous":[2],"semi-supervised":[3],"methods":[4],"that":[5,28,97,115],"seek":[6],"to":[7,64,87],"obtain":[8],"disentangled":[9,26],"representations":[10],"using":[11,93],"variational":[12],"autoencoders":[13],"divide":[14],"the":[15,21,25,31,58,81,88,94,98,117,120],"latent":[16,60,89],"representation":[17],"into":[18],"two":[19],"components:":[20],"non-interpretable":[22],"part":[23,27],"and":[24,47,83,105,109],"explicitly":[29,45],"models":[30],"factors":[32,42],"interest.":[34],"With":[35],"such":[36],"models,":[37],"features":[38,85],"associated":[39],"with":[40,112],"high-level":[41],"are":[43],"not":[44],"modeled,":[46],"they":[48],"can":[49,101],"either":[50],"be":[51],"lost,":[52],"or":[53],"at":[54],"best":[55],"entangled":[56],"in":[57],"other":[59,113],"variables,":[61],"thus":[62],"leading":[63],"bad":[65],"disentanglement":[66],"properties.":[67],"To":[68],"address":[69],"this":[70],"problem,":[71],"we":[72,106],"propose":[73],"a":[74],"novel":[75],"conditional":[76],"dependency":[77],"structure":[78],"where":[79],"both":[80],"labels":[82],"their":[84],"belong":[86],"space.":[90],"We":[91],"show":[92,116],"CelebA":[95],"dataset":[96],"proposed":[99,121],"model":[100],"learn":[102],"meaningful":[103],"representations,":[104],"provide":[107],"quantitative":[108],"qualitative":[110],"comparisons":[111],"approaches":[114],"effectiveness":[118],"method.":[122]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}