{"id":"https://openalex.org/W4386597135","doi":"https://doi.org/10.1109/icip49359.2023.10222748","title":"Weakly Supervised Disentanglement with Triplet Network","display_name":"Weakly Supervised Disentanglement with Triplet Network","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386597135","doi":"https://doi.org/10.1109/icip49359.2023.10222748"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222748","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10222748","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-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/A5102554363","display_name":"Pedro C. C. C. C. Coutinho","orcid":null},"institutions":[{"id":"https://openalex.org/I103084370","display_name":"Total (France)","ror":"https://ror.org/04sk34n56","country_code":"FR","type":"company","lineage":["https://openalex.org/I103084370"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pedro C. C. C. C. Coutinho","raw_affiliation_strings":["TotalEnergies OneTech"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TotalEnergies OneTech","institution_ids":["https://openalex.org/I103084370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042761955","display_name":"Yannick Berthoumieu","orcid":"https://orcid.org/0000-0002-7559-0602"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210157089","display_name":"Laboratoire de l'Int\u00e9gration du Mat\u00e9riau au Syst\u00e8me","ror":"https://ror.org/04nabhy78","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210091158","https://openalex.org/I4210095849","https://openalex.org/I4210157089","https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yannick Berthoumieu","raw_affiliation_strings":["Universit&#x00E9; de Bordeaux, CNRS, Bordeaux INP, IMS, UMR 5218"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; de Bordeaux, CNRS, Bordeaux INP, IMS, UMR 5218","institution_ids":["https://openalex.org/I4210157089","https://openalex.org/I4210160189","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074358807","display_name":"Marc Donias","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210157089","display_name":"Laboratoire de l'Int\u00e9gration du Mat\u00e9riau au Syst\u00e8me","ror":"https://ror.org/04nabhy78","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210091158","https://openalex.org/I4210095849","https://openalex.org/I4210157089","https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Marc Donias","raw_affiliation_strings":["Universit&#x00E9; de Bordeaux, CNRS, Bordeaux INP, IMS, UMR 5218"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; de Bordeaux, CNRS, Bordeaux INP, IMS, UMR 5218","institution_ids":["https://openalex.org/I4210157089","https://openalex.org/I4210160189","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038852235","display_name":"S\u00e9bastien Guillon","orcid":"https://orcid.org/0000-0002-6506-9442"},"institutions":[{"id":"https://openalex.org/I103084370","display_name":"Total (France)","ror":"https://ror.org/04sk34n56","country_code":"FR","type":"company","lineage":["https://openalex.org/I103084370"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"S\u00e9bastien Guillon","raw_affiliation_strings":["TotalEnergies OneTech"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TotalEnergies OneTech","institution_ids":["https://openalex.org/I103084370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10318048,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":null,"first_page":"2375","last_page":"2379"},"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":0.9998999834060669,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9944999814033508,"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":0.9891999959945679,"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/linear-subspace","display_name":"Linear subspace","score":0.886497974395752},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.714139461517334},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6942427158355713},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6008911728858948},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5938206911087036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5468584299087524},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.526111900806427},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.4816402494907379},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44729337096214294},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4425332248210907},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.42007654905319214},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3692993223667145},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3503679931163788},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3478381931781769},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2023528516292572}],"concepts":[{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.886497974395752},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.714139461517334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6942427158355713},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6008911728858948},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5938206911087036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5468584299087524},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.526111900806427},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.4816402494907379},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44729337096214294},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4425332248210907},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.42007654905319214},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3692993223667145},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3503679931163788},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3478381931781769},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2023528516292572},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip49359.2023.10222748","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10222748","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5400000214576721}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324219","display_name":"Total","ror":"https://ror.org/04sk34n56"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1959608418","https://openalex.org/W2007339694","https://openalex.org/W2125389028","https://openalex.org/W2171590421","https://openalex.org/W2187089797","https://openalex.org/W2502312327","https://openalex.org/W2555897561","https://openalex.org/W2753738274","https://openalex.org/W2767614780","https://openalex.org/W2785519580","https://openalex.org/W2787273002","https://openalex.org/W2798434327","https://openalex.org/W2950662112","https://openalex.org/W2963775347","https://openalex.org/W2964127395","https://openalex.org/W2998387309","https://openalex.org/W3005031238","https://openalex.org/W3135626158","https://openalex.org/W4295112158","https://openalex.org/W4320013936","https://openalex.org/W6640963894","https://openalex.org/W6678815747","https://openalex.org/W6724804524","https://openalex.org/W6730323794","https://openalex.org/W6744627333","https://openalex.org/W6745687250","https://openalex.org/W6748223763","https://openalex.org/W6756663807","https://openalex.org/W6773762762","https://openalex.org/W6955712162"],"related_works":["https://openalex.org/W2386430105","https://openalex.org/W2391321755","https://openalex.org/W2356521405","https://openalex.org/W2487162673","https://openalex.org/W2949110394","https://openalex.org/W2896134808","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4289378085","https://openalex.org/W2071055957"],"abstract_inverted_index":{"Variational":[0],"Autoencoders":[1],"have":[2,26,152],"gained":[3],"considerable":[4],"attention":[5],"due":[6],"to":[7,73,133,140],"their":[8],"capacity":[9],"of":[10,32,50,52,77,100,111,137],"encoding":[11],"high":[12],"dimensional":[13,18],"data":[14,143],"into":[15],"a":[16,41,53,59,65,93],"lower":[17],"latent":[19],"space.":[20],"In":[21,36],"this":[22,37],"context,":[23],"several":[24],"methods":[25],"been":[27],"proposed":[28],"with":[29,92],"the":[30,48,74,104,109],"objective":[31],"producing":[33],"disentangled":[34],"representations.":[35],"work,":[38],"we":[39],"propose":[40],"weakly":[42],"supervised":[43],"model":[44,130],"that":[45,67,128],"explicitly":[46],"disentangles":[47],"factors":[49,116,136,151],"variation":[51],"dataset":[54],"in":[55],"separate":[56],"subspaces":[57],"using":[58],"pairwise":[60],"architecture.":[61],"We":[62],"also":[63],"create":[64],"framework":[66],"encourages":[68],"conditional":[69],"image":[70],"generation":[71],"according":[72],"desired":[75,146],"factor":[76,106],"variation,":[78,138],"by":[79,86],"controlling":[80],"these":[81,150],"subspaces.":[82],"This":[83],"is":[84,131],"achieved":[85],"introducing":[87],"an":[88],"additional":[89],"network":[90],"trained":[91],"triplet":[94],"loss.":[95,157],"Its":[96],"output":[97],"approximates":[98],"representations":[99],"images":[101,112],"generated":[102,113],"from":[103,114],"same":[105],"and":[107,126,139],"push":[108],"ones":[110],"different":[115],"apart.":[117],"Experiments":[118],"are":[119],"carried":[120],"out":[121],"on":[122,155],"widely":[123],"used":[124],"datasets,":[125],"show":[127],"our":[129],"able":[132],"disentangle":[134],"specified":[135],"generate":[141],"new":[142],"while":[144],"constraining":[145],"properties,":[147],"even":[148],"when":[149],"small":[153],"influence":[154],"reconstruction":[156]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
