{"id":"https://openalex.org/W2109279964","doi":"https://doi.org/10.1109/cvpr.2010.5540109","title":"Visual recognition and detection under bounded computational resources","display_name":"Visual recognition and detection under bounded computational resources","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2109279964","doi":"https://doi.org/10.1109/cvpr.2010.5540109","mag":"2109279964"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2010.5540109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5540109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","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/A5011416719","display_name":"Sudheendra Vijayanarasimhan","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sudheendra Vijayanarasimhan","raw_affiliation_strings":["Microsoft Research Redmond, University of Texas, Austin, USA","University of Texas at Austin, Microsoft Research Redmond"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Redmond, University of Texas, Austin, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"University of Texas at Austin, Microsoft Research Redmond","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101933711","display_name":"Ashish Kapoor","orcid":"https://orcid.org/0009-0004-3764-8449"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]},{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ashish Kapoor","raw_affiliation_strings":["Microsoft Research Redmond, University of Texas, Austin, USA","University of Texas at Austin, Microsoft Research Redmond"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Redmond, University of Texas, Austin, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"University of Texas at Austin, Microsoft Research Redmond","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011416719"],"corresponding_institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":3.1871,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.92671991,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1006","last_page":"1013"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8161875605583191},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.7507203817367554},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5995952486991882},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5879054069519043},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5810718536376953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5747315883636475},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5544007420539856},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.5535927414894104},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.47657108306884766},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.4712519943714142},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4617784917354584},{"id":"https://openalex.org/keywords/computational-resource","display_name":"Computational resource","score":0.4318925738334656},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.3534735441207886},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2872515320777893},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1999083161354065}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8161875605583191},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7507203817367554},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5995952486991882},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5879054069519043},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5810718536376953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5747315883636475},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5544007420539856},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.5535927414894104},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.47657108306884766},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.4712519943714142},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4617784917354584},{"id":"https://openalex.org/C127964446","wikidata":"https://www.wikidata.org/wiki/Q1092142","display_name":"Computational resource","level":3,"score":0.4318925738334656},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.3534735441207886},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2872515320777893},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1999083161354065},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2010.5540109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5540109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W79820356","https://openalex.org/W1608462934","https://openalex.org/W1817442886","https://openalex.org/W1919689106","https://openalex.org/W1980911747","https://openalex.org/W2012833704","https://openalex.org/W2030536784","https://openalex.org/W2048362629","https://openalex.org/W2098083083","https://openalex.org/W2102179764","https://openalex.org/W2106255337","https://openalex.org/W2113201641","https://openalex.org/W2120419212","https://openalex.org/W2125641978","https://openalex.org/W2145169631","https://openalex.org/W2154422044","https://openalex.org/W2154740476","https://openalex.org/W2155979701","https://openalex.org/W2161567010","https://openalex.org/W2161969291","https://openalex.org/W2162915993","https://openalex.org/W2164877691","https://openalex.org/W2169561155","https://openalex.org/W2186094539","https://openalex.org/W2427881153","https://openalex.org/W2535980383","https://openalex.org/W2548546665","https://openalex.org/W2606668424","https://openalex.org/W3097096317","https://openalex.org/W4230940751","https://openalex.org/W4234189272","https://openalex.org/W4285719527","https://openalex.org/W6603214568","https://openalex.org/W6639956668","https://openalex.org/W6674700266","https://openalex.org/W6681623315","https://openalex.org/W6683978607"],"related_works":["https://openalex.org/W2229588459","https://openalex.org/W2374430960","https://openalex.org/W2375485824","https://openalex.org/W4235807378","https://openalex.org/W120571988","https://openalex.org/W4249702239","https://openalex.org/W2742629360","https://openalex.org/W1512399864","https://openalex.org/W4389768689","https://openalex.org/W2047754121"],"abstract_inverted_index":{"Visual":[0],"recognition":[1,106,160],"and":[2,8,51,80,128],"detection":[3,117],"are":[4],"computationally":[5],"intensive":[6],"tasks":[7],"current":[9],"research":[10],"efforts":[11],"primarily":[12],"focus":[13],"on":[14,41,113],"solving":[15],"them":[16],"without":[17],"considering":[18],"the":[19,23,33,45,54,74,96,104,109,121,139,143,149,155,164],"computational":[20,110],"capability":[21,55],"of":[22,35,56,76,98,142],"devices":[24],"they":[25],"run":[26,135],"on.":[27],"In":[28],"this":[29],"paper":[30],"we":[31,152],"explore":[32],"challenge":[34],"deriving":[36],"methods":[37],"that":[38,86,120,154],"consider":[39],"constraints":[40],"computation,":[42],"appropriately":[43],"schedule":[44],"next":[46],"best":[47],"computation":[48,126],"to":[49,102,134,167],"perform":[50],"finally":[52],"have":[53],"producing":[57],"reasonable":[58,159],"results":[59,92,131,161],"at":[60],"any":[61],"time":[62],"when":[63,132],"a":[64],"solution":[65],"is":[66,146],"required.":[67],"We":[68],"specifically":[69],"derive":[70],"an":[71],"approach":[72],"for":[73,108],"task":[75],"object":[77,116],"category":[78],"localization":[79],"classification":[81],"in":[82,100,148],"cluttered,":[83],"natural":[84],"scenes":[85],"can":[87,124,157],"not":[88],"only":[89],"produce":[90],"anytime":[91],"but":[93],"also":[94],"utilize":[95],"principle":[97],"value-of-information":[99],"order":[101],"provide":[103,158],"most":[105],"bang":[107],"buck.":[111],"Experiments":[112],"two":[114],"standard":[115],"challenges":[118],"show":[119],"proposed":[122,144],"framework":[123,145],"triage":[125],"effectively":[127],"attain":[129],"state-of-the-art":[130],"allowed":[133],"till":[136],"completion.":[137,170],"Additionally,":[138],"real":[140],"benefit":[141],"highlighted":[147],"experiments":[150],"where":[151],"demonstrate":[153],"method":[156],"even":[162],"if":[163],"procedure":[165],"needs":[166],"terminate":[168],"before":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
