{"id":"https://openalex.org/W2145098965","doi":"https://doi.org/10.1109/icra.2011.5980161","title":"A visual language model for estimating object pose and structure in a generative visual domain","display_name":"A visual language model for estimating object pose and structure in a generative visual domain","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2145098965","doi":"https://doi.org/10.1109/icra.2011.5980161","mag":"2145098965"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2011.5980161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2011.5980161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Robotics and Automation","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/A5031241646","display_name":"N. Siddharth","orcid":"https://orcid.org/0000-0003-4911-7333"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Siddharth Narayanaswamy","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","[School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA.]"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"[School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA.]","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018507577","display_name":"Andrei Barbu","orcid":"https://orcid.org/0000-0001-7626-9266"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrei Barbu","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","[School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA.]"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"[School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA.]","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079140683","display_name":"Jeffrey Mark Siskind","orcid":"https://orcid.org/0000-0002-0105-6503"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey Mark Siskind","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","[School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA.]"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"[School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA.]","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031241646"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":0.7727,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76658451,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"4854","last_page":"4860"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9994999766349792,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9994999766349792,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9962000250816345,"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":0.8180544376373291},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6412490606307983},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6083927750587463},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6039746999740601},{"id":"https://openalex.org/keywords/unobservable","display_name":"Unobservable","score":0.5569477081298828},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5516374111175537},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5381918549537659},{"id":"https://openalex.org/keywords/analogy","display_name":"Analogy","score":0.5338870882987976},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5178911685943604},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.47797366976737976},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.47198063135147095},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46338093280792236},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45038604736328125},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44693195819854736},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.4319496750831604},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1527242362499237},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1284726858139038},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08606210350990295}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8180544376373291},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6412490606307983},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6083927750587463},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6039746999740601},{"id":"https://openalex.org/C2780695315","wikidata":"https://www.wikidata.org/wiki/Q3799040","display_name":"Unobservable","level":2,"score":0.5569477081298828},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5516374111175537},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5381918549537659},{"id":"https://openalex.org/C521332185","wikidata":"https://www.wikidata.org/wiki/Q185816","display_name":"Analogy","level":2,"score":0.5338870882987976},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5178911685943604},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.47797366976737976},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.47198063135147095},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46338093280792236},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45038604736328125},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44693195819854736},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.4319496750831604},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1527242362499237},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1284726858139038},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08606210350990295},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra.2011.5980161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2011.5980161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Robotics and Automation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.75}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W77078939","https://openalex.org/W122583429","https://openalex.org/W1513772636","https://openalex.org/W1516887802","https://openalex.org/W1544300176","https://openalex.org/W1579027943","https://openalex.org/W1597474747","https://openalex.org/W1962010357","https://openalex.org/W2002597376","https://openalex.org/W2051269616","https://openalex.org/W2065691568","https://openalex.org/W2067191022","https://openalex.org/W2081519360","https://openalex.org/W2086374833","https://openalex.org/W2091364465","https://openalex.org/W2099972257","https://openalex.org/W2107431722","https://openalex.org/W2108538286","https://openalex.org/W2121947440","https://openalex.org/W2130606937","https://openalex.org/W2133907196","https://openalex.org/W2135432705","https://openalex.org/W2145023731","https://openalex.org/W2152989928","https://openalex.org/W2156406284","https://openalex.org/W2487672198","https://openalex.org/W4205969993","https://openalex.org/W4240374930","https://openalex.org/W6603151584","https://openalex.org/W6604990878","https://openalex.org/W6630825005","https://openalex.org/W6635490985","https://openalex.org/W6640974819","https://openalex.org/W7019377246"],"related_works":["https://openalex.org/W2614563012","https://openalex.org/W2392206215","https://openalex.org/W2365201483","https://openalex.org/W4293337373","https://openalex.org/W1968533609","https://openalex.org/W2355561779","https://openalex.org/W1984270607","https://openalex.org/W2151842462","https://openalex.org/W4385890381","https://openalex.org/W2402231715"],"abstract_inverted_index":{"We":[0,53,133],"present":[1],"a":[2,27,37,45,58,151],"generative":[3,12],"domain":[4,67],"of":[5,14,21,40,57,73,157],"visual":[6,66,97],"objects":[7],"by":[8,82],"analogy":[9],"to":[10,30,48,64,68,86],"the":[11,55,71,74,87,90,111,155],"nature":[13],"human":[15,94,114],"language.":[16],"Just":[17],"as":[18,105],"small":[19,38],"inventories":[20],"phonemes":[22],"and":[23,35,103],"words":[24,34],"combine":[25,43],"in":[26,44,154],"grammatical":[28,46],"fashion":[29,47],"yield":[31,49],"myriad":[32,50],"valid":[33,51],"utterances,":[36],"inventory":[39],"physical":[41],"parts":[42],"assemblies.":[52],"apply":[54],"notion":[56],"language":[59,98,115,152],"model":[60,153],"from":[61],"speech":[62],"recognition":[63,75],"this":[65],"similarly":[69],"improve":[70],"performance":[72],"process":[76],"over":[77],"what":[78],"would":[79],"be":[80],"possible":[81],"only":[83],"applying":[84],"recognizers":[85],"components.":[88,132],"Unlike":[89],"context-free":[91],"models":[92,99],"for":[93,113,142],"language,":[95],"our":[96,121,135],"are":[100,119],"context":[101],"sensitive":[102],"formulated":[104],"stochastic":[106],"constraint-satisfaction":[107],"problems.":[108],"And":[109],"unlike":[110],"situation":[112],"where":[116],"all":[117],"components":[118],"observable,":[120],"methods":[122],"deal":[123],"with":[124,137,150],"occlusion,":[125],"successfully":[126],"recovering":[127],"object":[128],"structure":[129],"despite":[130],"unobservable":[131],"demonstrate":[134],"system":[136,141],"an":[138],"integrated":[139],"robotic":[140],"disassembling":[143],"structures":[144],"that":[145],"performs":[146],"whole-scene":[147],"reconstruction":[148],"consistent":[149],"presence":[156],"noisy":[158],"feature":[159],"detectors.":[160]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}