{"id":"https://openalex.org/W2536349189","doi":"https://doi.org/10.1109/iccv.2009.5459350","title":"A latent model of discriminative aspect","display_name":"A latent model of discriminative aspect","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W2536349189","doi":"https://doi.org/10.1109/iccv.2009.5459350","mag":"2536349189"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2009.5459350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2009.5459350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/1270153","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101576595","display_name":"Ali Farhadi","orcid":"https://orcid.org/0000-0001-7249-2380"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ali Farhadi","raw_affiliation_strings":["Computer Science Department, University of Illinois, Urbana-Champaign, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Illinois, Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030276801","display_name":"Mostafa Kamali Tabrizi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mostafa Kamali Tabrizi","raw_affiliation_strings":["Institute for Research in Fundamental Sciences, USA"],"affiliations":[{"raw_affiliation_string":"Institute for Research in Fundamental Sciences, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078433251","display_name":"Ian Endres","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ian Endres","raw_affiliation_strings":["Computer Science Department, University of Illinois, Urbana-Champaign, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Illinois, Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010851725","display_name":"David Forsyth","orcid":"https://orcid.org/0000-0002-2278-0752"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Forsyth","raw_affiliation_strings":["Computer Science Department, University of Illinois, Urbana-Champaign, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Illinois, Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101576595"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":6.8802,"has_fulltext":false,"cited_by_count":72,"citation_normalized_percentile":{"value":0.97319276,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"948","last_page":"955"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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":1.0,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9988999962806702,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.9722895622253418},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8141135573387146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7260080575942993},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.7202175855636597},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6802095174789429},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.569150984287262},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4874294102191925},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4585636854171753},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.4332554042339325},{"id":"https://openalex.org/keywords/3d-single-object-recognition","display_name":"3D single-object recognition","score":0.4256567656993866},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.4154853820800781},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23609578609466553}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9722895622253418},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8141135573387146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7260080575942993},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7202175855636597},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6802095174789429},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.569150984287262},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4874294102191925},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4585636854171753},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.4332554042339325},{"id":"https://openalex.org/C14551309","wikidata":"https://www.wikidata.org/wiki/Q4636325","display_name":"3D single-object recognition","level":4,"score":0.4256567656993866},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.4154853820800781},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23609578609466553},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccv.2009.5459350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2009.5459350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:1270153","is_oa":true,"landing_page_url":"https://zenodo.org/record/1270153","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:1270153","is_oa":true,"landing_page_url":"https://zenodo.org/record/1270153","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7099999785423279}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320333591","display_name":"Multidisciplinary University Research Initiative","ror":null},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1487322600","https://openalex.org/W1508960934","https://openalex.org/W1526741802","https://openalex.org/W1556583247","https://openalex.org/W1600484828","https://openalex.org/W1623180998","https://openalex.org/W1989784484","https://openalex.org/W2010399676","https://openalex.org/W2013076218","https://openalex.org/W2021525343","https://openalex.org/W2052065843","https://openalex.org/W2101281346","https://openalex.org/W2112018121","https://openalex.org/W2115232897","https://openalex.org/W2118572719","https://openalex.org/W2118877769","https://openalex.org/W2121341364","https://openalex.org/W2123456673","https://openalex.org/W2129666410","https://openalex.org/W2131225894","https://openalex.org/W2148999380","https://openalex.org/W2156342794","https://openalex.org/W2157629193","https://openalex.org/W2179779711","https://openalex.org/W3029645440","https://openalex.org/W4293775970","https://openalex.org/W6629032133","https://openalex.org/W6636534744"],"related_works":["https://openalex.org/W196505194","https://openalex.org/W2578478211","https://openalex.org/W2207218974","https://openalex.org/W2387237626","https://openalex.org/W2182443753","https://openalex.org/W2014001742","https://openalex.org/W2403129783","https://openalex.org/W4394017669","https://openalex.org/W2188151889","https://openalex.org/W1841786463"],"abstract_inverted_index":{"Recognition":[0],"using":[1,113],"appearance":[2,136],"features":[3,137,175],"is":[4],"confounded":[5],"by":[6,109],"phenomena":[7],"that":[8,68,184],"cause":[9,78],"images":[10,19,93],"of":[11,20,60,65,79,194],"the":[12,25,31,58,192,195],"same":[13,32],"object":[14,33,126,158,199],"to":[15,23,106,122,176],"look":[16,24,51],"different,":[17],"or":[18,40,90],"different":[21,35,37,44],"objects":[22,45],"same.":[26],"This":[27],"may":[28],"occur":[29],"because":[30,41],"looks":[34],"from":[36,48],"viewing":[38],"directions,":[39],"two":[42,123],"generally":[43],"have":[46],"views":[47],"which":[49,165],"they":[50],"similar.":[52],"In":[53,133],"this":[54],"paper,":[55],"we":[56],"introduce":[57],"idea":[59],"discriminative":[61,82,99,115],"aspect,":[62,83],"a":[63,104,162,188],"set":[64],"latent":[66,114],"variables":[67],"encode":[69],"these":[70],"phenomena.":[71],"Changes":[72],"in":[73,81,88,151,161,180],"view":[74,163],"direction":[75],"are":[76,94,138],"one":[77],"changes":[80,87,150],"but":[84,144],"others":[85],"include":[86],"texture":[89],"lighting.":[91],"However,":[92],"not":[95],"labelled":[96],"with":[97],"relevant":[98],"aspect":[100,116],"parameters.":[101,117],"We":[102,118,182],"describe":[103],"method":[105,121,154,172,186],"improve":[107],"discrimination":[108],"inferring":[110],"and":[111,129,200],"then":[112],"apply":[119],"our":[120,185],"parallel":[124],"problems:":[125],"category":[127],"recognition":[128],"human":[130],"activity":[131,201],"recognition.":[132,202],"each":[134],"case,":[135],"powerful":[139],"given":[140],"appropriate":[141],"training":[142,169],"data,":[143],"traditionally":[145],"fail":[146],"badly":[147],"under":[148],"large":[149],"view.":[152],"Our":[153,171],"can":[155],"recognize":[156],"an":[157],"quite":[159],"reliably":[160],"for":[164,197],"it":[166],"possesses":[167],"no":[168],"example.":[170],"also":[173],"reweights":[174],"discount":[177],"accidental":[178],"similarities":[179],"appearance.":[181],"demonstrate":[183],"produces":[187],"significant":[189],"improvement":[190],"on":[191],"state":[193],"art":[196],"both":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":10},{"year":2012,"cited_by_count":7}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}