{"id":"https://openalex.org/W2531675257","doi":"https://doi.org/10.1145/2983563.2983570","title":"Cross-modal Classification by Completing Unimodal Representations","display_name":"Cross-modal Classification by Completing Unimodal Representations","publication_year":2016,"publication_date":"2016-10-11","ids":{"openalex":"https://openalex.org/W2531675257","doi":"https://doi.org/10.1145/2983563.2983570","mag":"2531675257"},"language":"en","primary_location":{"id":"doi:10.1145/2983563.2983570","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2983563.2983570","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 ACM workshop on Vision and Language Integration Meets Multimedia Fusion","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/A5074164116","display_name":"Thi Quynh Nhi Tran","orcid":null},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I4210145724","display_name":"Centre d'Etudes et De Recherche en Informatique et Communications","ror":"https://ror.org/044j5mm75","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210145724"]},{"id":"https://openalex.org/I4210085861","display_name":"Laboratoire d'Int\u00e9gration des Syst\u00e8mes et des Technologies","ror":"https://ror.org/000dbcc61","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210085861","https://openalex.org/I4210117989"]},{"id":"https://openalex.org/I124158823","display_name":"Conservatoire National des Arts et M\u00e9tiers","ror":"https://ror.org/0175hh227","country_code":"FR","type":"education","lineage":["https://openalex.org/I124158823","https://openalex.org/I4210134562"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Thi Quynh Nhi Tran","raw_affiliation_strings":["CEA, LIST and CEDRIC-CNAM, Gif-sur-Yvette, France"],"affiliations":[{"raw_affiliation_string":"CEA, LIST and CEDRIC-CNAM, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210145724","https://openalex.org/I4210085861","https://openalex.org/I124158823"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029449532","display_name":"Herv\u00e9 Le Borgne","orcid":"https://orcid.org/0000-0003-0520-8436"},"institutions":[{"id":"https://openalex.org/I4210085861","display_name":"Laboratoire d'Int\u00e9gration des Syst\u00e8mes et des Technologies","ror":"https://ror.org/000dbcc61","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210085861","https://openalex.org/I4210117989"]},{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Herv\u00e9 Le Borgne","raw_affiliation_strings":["CEA, LIST, Gif-sur-Yvette, France"],"affiliations":[{"raw_affiliation_string":"CEA, LIST, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I4210085861","https://openalex.org/I2738703131"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028132236","display_name":"Michel Crucianu","orcid":"https://orcid.org/0000-0001-8204-6843"},"institutions":[{"id":"https://openalex.org/I124158823","display_name":"Conservatoire National des Arts et M\u00e9tiers","ror":"https://ror.org/0175hh227","country_code":"FR","type":"education","lineage":["https://openalex.org/I124158823","https://openalex.org/I4210134562"]},{"id":"https://openalex.org/I4210145724","display_name":"Centre d'Etudes et De Recherche en Informatique et Communications","ror":"https://ror.org/044j5mm75","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210145724"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Michel Crucianu","raw_affiliation_strings":["CEDRIC-CNAM, Paris, France"],"affiliations":[{"raw_affiliation_string":"CEDRIC-CNAM, Paris, France","institution_ids":["https://openalex.org/I4210145724","https://openalex.org/I124158823"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074164116"],"corresponding_institution_ids":["https://openalex.org/I124158823","https://openalex.org/I2738703131","https://openalex.org/I4210085861","https://openalex.org/I4210145724"],"apc_list":null,"apc_paid":null,"fwci":0.835,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.80898518,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"17","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T11714","display_name":"Multimodal Machine Learning Applications","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/T11439","display_name":"Video Analysis and Summarization","score":0.9929999709129333,"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/modal","display_name":"Modal","score":0.86143958568573},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.7973154187202454},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6885849833488464},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.686164915561676},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5974000692367554},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5568914413452148},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5540741682052612},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5435293912887573},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5307654738426208},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4993784427642822},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3557342290878296},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33672136068344116},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3219263553619385},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2324785590171814}],"concepts":[{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.86143958568573},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.7973154187202454},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6885849833488464},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.686164915561676},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5974000692367554},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5568914413452148},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5540741682052612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5435293912887573},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5307654738426208},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4993784427642822},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3557342290878296},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33672136068344116},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3219263553619385},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2324785590171814},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2983563.2983570","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2983563.2983570","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 ACM workshop on Vision and Language Integration Meets Multimedia Fusion","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:cea-01840417v1","is_oa":false,"landing_page_url":"https://cea.hal.science/cea-01840417","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":"iV&L-MM '16 Proceedings of the 2016 ACM workshop on Vision and Language Integration Meets Multimedia Fusion, Oct 2016, Amsterdam, Netherlands. pp.17-25, ⟨10.1145/2983563.2983570⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W68733909","https://openalex.org/W114517082","https://openalex.org/W154472438","https://openalex.org/W398859631","https://openalex.org/W1686810756","https://openalex.org/W1883346539","https://openalex.org/W1964073652","https://openalex.org/W1966479305","https://openalex.org/W1969241115","https://openalex.org/W2007972815","https://openalex.org/W2022080204","https://openalex.org/W2029163572","https://openalex.org/W2038597090","https://openalex.org/W2062118960","https://openalex.org/W2070753207","https://openalex.org/W2072286734","https://openalex.org/W2089720846","https://openalex.org/W2100235303","https://openalex.org/W2112912048","https://openalex.org/W2125263373","https://openalex.org/W2138118304","https://openalex.org/W2153579005","https://openalex.org/W2162931300","https://openalex.org/W2164587673","https://openalex.org/W2184188583","https://openalex.org/W2559655401","https://openalex.org/W2596356468","https://openalex.org/W2604272474","https://openalex.org/W2950133940","https://openalex.org/W3000226596","https://openalex.org/W6639103823","https://openalex.org/W6678470764","https://openalex.org/W6686207219"],"related_works":["https://openalex.org/W73545470","https://openalex.org/W4224266612","https://openalex.org/W2383394264","https://openalex.org/W4320153225","https://openalex.org/W4293261942","https://openalex.org/W3125968744","https://openalex.org/W203959209","https://openalex.org/W2167701463","https://openalex.org/W2110287964","https://openalex.org/W4307407935"],"abstract_inverted_index":{"We":[0,31],"argue":[1],"that":[2,35,89],"cross-modal":[3,45,113],"classification,":[4],"where":[5,58],"models":[6],"are":[7],"trained":[8],"on":[9,53,65,83],"data":[10,19],"from":[11,20,44,69],"one":[12],"modality":[13],"(e.g.":[14,22],"text)":[15],"and":[16,47,64,86],"applied":[17],"to":[18,41,99],"another":[21],"image),":[23],"is":[24],"a":[25,33,54,73,103,115],"relevant":[26],"problem":[27],"in":[28],"multimedia":[29],"retrieval.":[30],"propose":[32],"method":[34,51,93],"addresses":[36],"this":[37],"specific":[38],"problem,":[39],"related":[40],"but":[42],"different":[43],"retrieval":[46],"bimodal":[48,76],"classification.":[49],"This":[50],"relies":[52],"common":[55],"latent":[56,104],"space":[57,105],"both":[59],"modalities":[60],"have":[61],"comparable":[62],"representations":[63],"an":[66],"auxiliary":[67],"dataset":[68],"which":[70],"we":[71],"build":[72],"more":[74],"complete":[75],"representation":[77,92],"of":[78,102,109],"any":[79],"unimodal":[80],"data.":[81],"Evaluations":[82],"Pascal":[84],"VOC07":[85],"NUS-WIDE":[87],"show":[88],"the":[90,96,100],"novel":[91],"significantly":[94],"improves":[95],"results":[97],"compared":[98],"use":[101],"alone.":[106],"The":[107],"level":[108],"performance":[110],"achieved":[111],"makes":[112],"classification":[114],"convincing":[116],"choice":[117],"for":[118],"real":[119],"applications.":[120]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-02-25T08:12:03.925757","created_date":"2025-10-10T00:00:00"}