{"id":"https://openalex.org/W2027815734","doi":"https://doi.org/10.1145/2461466.2461504","title":"Exploiting language models to recognize unseen actions","display_name":"Exploiting language models to recognize unseen actions","publication_year":2013,"publication_date":"2013-04-16","ids":{"openalex":"https://openalex.org/W2027815734","doi":"https://doi.org/10.1145/2461466.2461504","mag":"2027815734"},"language":"en","primary_location":{"id":"doi:10.1145/2461466.2461504","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2461466.2461504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM conference on International conference on multimedia retrieval","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/A5076575929","display_name":"Dieu Thu Le","orcid":null},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Dieu Thu Le","raw_affiliation_strings":["University of Trento, Trento, Italy","University of Trento , Trento , Italy"],"affiliations":[{"raw_affiliation_string":"University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"University of Trento , Trento , Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020020314","display_name":"Raffaella Bernardi","orcid":"https://orcid.org/0000-0002-3423-1208"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Raffaella Bernardi","raw_affiliation_strings":["University of Trento, Trento, Italy","University of Trento , Trento , Italy"],"affiliations":[{"raw_affiliation_string":"University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"University of Trento , Trento , Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020938231","display_name":"Jasper Uijlings","orcid":"https://orcid.org/0000-0002-3288-7377"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Jasper Uijlings","raw_affiliation_strings":["University of Trento, Trento, Italy","University of Trento , Trento , Italy"],"affiliations":[{"raw_affiliation_string":"University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"University of Trento , Trento , Italy","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076575929"],"corresponding_institution_ids":["https://openalex.org/I193223587"],"apc_list":null,"apc_paid":null,"fwci":2.4886,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.90550351,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"231","last_page":"238"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","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/T10812","display_name":"Human Pose and Action Recognition","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/T11714","display_name":"Multimodal Machine Learning Applications","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/T10036","display_name":"Advanced Neural Network Applications","score":0.9965000152587891,"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/computer-science","display_name":"Computer science","score":0.839824914932251},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6746600866317749},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6677263975143433},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.6154937148094177},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4483382999897003},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4102688729763031},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.0698363184928894}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.839824914932251},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6746600866317749},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6677263975143433},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.6154937148094177},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4483382999897003},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4102688729763031},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0698363184928894},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2461466.2461504","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2461466.2461504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM conference on International conference on multimedia retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.725.9794","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.725.9794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://disi.unitn.it/%7Ebernardi/Papers/icmr075-le.pdf","raw_type":"text"},{"id":"pmh:oai:iris.unitn.it:11572/67365","is_oa":false,"landing_page_url":"http://hdl.handle.net/11572/67365","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1625255723","https://openalex.org/W1858383477","https://openalex.org/W1880262756","https://openalex.org/W1897761818","https://openalex.org/W1973321600","https://openalex.org/W1976921161","https://openalex.org/W2031489346","https://openalex.org/W2038032460","https://openalex.org/W2038765747","https://openalex.org/W2064851185","https://openalex.org/W2104170135","https://openalex.org/W2110591510","https://openalex.org/W2118087936","https://openalex.org/W2119610041","https://openalex.org/W2128870637","https://openalex.org/W2129305389","https://openalex.org/W2134270519","https://openalex.org/W2148948295","https://openalex.org/W2151103935","https://openalex.org/W2158234032","https://openalex.org/W2161969291","https://openalex.org/W2162915993","https://openalex.org/W2166663637","https://openalex.org/W2168185617","https://openalex.org/W2168356304","https://openalex.org/W2169393274","https://openalex.org/W3143107425","https://openalex.org/W6636494156","https://openalex.org/W6639118148","https://openalex.org/W6676781583"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3209574120","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4210805261"],"abstract_inverted_index":{"This":[0,149],"paper":[1,73,150],"addresses":[2],"the":[3,27,108,111,122,130],"problem":[4],"of":[5,30,42,62,66,105],"human":[6],"action":[7,11,51,85,160],"recognition.":[8,161],"Typically,":[9],"visual":[10,15,54,93,106,143,175],"recognition":[12,86],"systems":[13],"need":[14],"training":[16,55,144,176],"examples":[17,56,177],"for":[18,49,59,83,140],"all":[19,60],"actions":[20,32,43,61,114,139],"that":[21,152],"one":[22],"wants":[23],"to":[24,78,137],"recognize.":[25],"However,":[26],"total":[28],"number":[29],"possible":[31,47],"is":[33,74,132],"staggering":[34],"as":[35],"not":[36],"only":[37],"are":[38,57,124,178],"there":[39],"many":[40,46],"types":[41],"but":[44],"also":[45],"objects":[48,99],"each":[50],"type.":[52],"Normally,":[53],"needed":[58],"this":[63,70,72],"combinatorial":[64],"explosion":[65],"possibilities.":[67],"To":[68],"address":[69],"problem,":[71],"a":[75,80,165,170],"first":[76],"attempt":[77],"propose":[79],"general":[81],"framework":[82,123],"unseen":[84,159],"in":[87,101,121,169],"still":[88],"images":[89,102],"by":[90,103],"exploiting":[91,115],"both":[92],"and":[94,135],"language":[95,117],"models.":[96,118],"Based":[97],"on":[98,126,158],"recognized":[100],"means":[104],"features,":[107],"system":[109,131],"suggests":[110],"most":[112],"plausible":[113],"off-the-shelf":[116],"All":[119],"components":[120],"trained":[125],"universal":[127],"datasets,":[128],"hence":[129],"general,":[133],"flexible,":[134],"able":[136],"recognize":[138],"which":[141],"no":[142],"example":[145],"has":[146],"been":[147],"provided.":[148],"shows":[151],"our":[153],"model":[154,168],"yields":[155],"good":[156],"performance":[157],"It":[162],"even":[163],"outperforms":[164],"state-of-the-art":[166],"Bag-of-Words":[167],"realistic":[171],"scenario":[172],"where":[173],"few":[174],"available.":[179]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
