{"id":"https://openalex.org/W2060028332","doi":"https://doi.org/10.1109/cvpr.2009.5206805","title":"Fast concurrent object localization and recognition","display_name":"Fast concurrent object localization and recognition","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2060028332","doi":"https://doi.org/10.1109/cvpr.2009.5206805","mag":"2060028332"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2009.5206805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206805","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","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":"2009 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/1721.1/74258","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070687718","display_name":"Tom Yeh","orcid":"https://orcid.org/0000-0003-0227-9781"},"institutions":[{"id":"https://openalex.org/I4210110987","display_name":"IIT@MIT","ror":"https://ror.org/01wp8zh54","country_code":"US","type":"facility","lineage":["https://openalex.org/I30771326","https://openalex.org/I4210110987"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tom Yeh","raw_affiliation_strings":["MIT EECS, CSAIL, Cambridge, MA, USA","[EECS, MIT Cambridge, MA, USA]"],"affiliations":[{"raw_affiliation_string":"MIT EECS, CSAIL, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210110987"]},{"raw_affiliation_string":"[EECS, MIT Cambridge, MA, USA]","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100762136","display_name":"John J. Lee","orcid":"https://orcid.org/0000-0002-5335-9071"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John J. Lee","raw_affiliation_strings":["Google, Inc., New York, NY, USA","Google Inc., New York, NY, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Google, Inc., New York, NY, USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Inc., New York, NY, USA#TAB#","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029105520","display_name":"Trevor Darrell","orcid":"https://orcid.org/0000-0001-5453-8533"},"institutions":[{"id":"https://openalex.org/I1297971548","display_name":"International Computer Science Institute","ror":"https://ror.org/01ewh7m12","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1297971548"]},{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Trevor Darrell","raw_affiliation_strings":["U.C. Berkeley EECS, ICSI Berkeley, CA, USA","EECS, U.C. Berkeley, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"U.C. Berkeley EECS, ICSI Berkeley, CA, USA","institution_ids":["https://openalex.org/I1297971548","https://openalex.org/I95457486"]},{"raw_affiliation_string":"EECS, U.C. Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070687718"],"corresponding_institution_ids":["https://openalex.org/I4210110987"],"apc_list":null,"apc_paid":null,"fwci":3.2328,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.93716338,"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":"280","last_page":"287"},"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":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9969000220298767,"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/bounding-overwatch","display_name":"Bounding overwatch","score":0.7098591327667236},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6858682632446289},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.6819595098495483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6259645223617554},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.5978197455406189},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5869980454444885},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5100048780441284},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46745190024375916},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.46062013506889343},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4557366967201233},{"id":"https://openalex.org/keywords/3d-single-object-recognition","display_name":"3D single-object recognition","score":0.4141378402709961},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3135472536087036}],"concepts":[{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.7098591327667236},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6858682632446289},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.6819595098495483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6259645223617554},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.5978197455406189},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5869980454444885},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5100048780441284},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46745190024375916},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.46062013506889343},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4557366967201233},{"id":"https://openalex.org/C14551309","wikidata":"https://www.wikidata.org/wiki/Q4636325","display_name":"3D single-object recognition","level":4,"score":0.4141378402709961},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3135472536087036}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2009.5206805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206805","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","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":"2009 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.300.1507","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.300.1507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.icsi.berkeley.edu/pubs/vision/fastconcurrent09.pdf","raw_type":"text"},{"id":"pmh:oai:dspace.mit.edu:1721.1/74258","is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/74258","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"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":"IEEE","raw_type":"http://purl.org/eprint/type/ConferencePaper"}],"best_oa_location":{"id":"pmh:oai:dspace.mit.edu:1721.1/74258","is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/74258","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"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":"IEEE","raw_type":"http://purl.org/eprint/type/ConferencePaper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1525954826","https://openalex.org/W1600307065","https://openalex.org/W1969552659","https://openalex.org/W1995444699","https://openalex.org/W2083200674","https://openalex.org/W2101263943","https://openalex.org/W2104978738","https://openalex.org/W2113201641","https://openalex.org/W2120369594","https://openalex.org/W2128017662","https://openalex.org/W2134529554","https://openalex.org/W2136467819","https://openalex.org/W2148596671","https://openalex.org/W2157239837","https://openalex.org/W2162915993","https://openalex.org/W2168405607","https://openalex.org/W2186094539","https://openalex.org/W2296770417","https://openalex.org/W6631399749","https://openalex.org/W6635928349","https://openalex.org/W6675168347","https://openalex.org/W6680316977","https://openalex.org/W6683380652"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"Object":[0],"localization":[1,37,56,103],"and":[2,20,57,105,117,133],"recognition":[3,35,58,68,101,141],"are":[4],"important":[5],"problems":[6],"in":[7,11,98],"computer":[8],"vision.":[9],"However,":[10],"many":[12],"applications,":[13],"exhaustive":[14,112],"search":[15,120],"over":[16],"all":[17],"object":[18,55],"models":[19],"image":[21],"locations":[22],"is":[23],"computationally":[24],"prohibitive.":[25],"While":[26],"several":[27],"methods":[28],"have":[29,41],"been":[30],"proposed":[31],"to":[32,84,108,127,138,144],"make":[33],"either":[34],"or":[36],"more":[38],"efficient,":[39],"few":[40],"dealt":[42],"with":[43],"both":[44],"tasks":[45],"simultaneously.":[46],"This":[47],"paper":[48],"proposes":[49],"an":[50],"efficient":[51,118],"method":[52],"for":[53],"concurrent":[54],"based":[59],"on":[60],"a":[61],"data-dependent":[62],"multi-class":[63],"branch-and-bound":[64],"formalism.":[65],"Existing":[66],"bag-of-features":[67],"techniques":[69],"which":[70],"can":[71,80],"be":[72,81],"expressed":[73],"as":[74],"weighted":[75],"combinations":[76],"of":[77,95,100],"feature":[78],"counts":[79],"readily":[82],"adapted":[83],"our":[85,96],"method.":[86],"We":[87],"present":[88],"experimental":[89],"results":[90],"that":[91],"demonstrate":[92,135],"the":[93],"merit":[94],"algorithm":[97],"terms":[99],"accuracy,":[102,104],"speed,":[106],"compared":[107,143],"baseline":[109],"approaches":[110],"including":[111],"search,":[113],"implicit-shape":[114],"model":[115],"(ISM),":[116],"sub-window":[119],"(ESS).":[121],"Moreover,":[122],"we":[123],"develop":[124],"two":[125],"extensions":[126],"consider":[128],"non-rectangular":[129],"bounding":[130,147],"regions-composite":[131],"boxes":[132],"polygons-and":[134],"their":[136],"ability":[137],"achieve":[139],"higher":[140],"scores":[142],"traditional":[145],"rectangular":[146],"boxes.":[148]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":7}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
