{"id":"https://openalex.org/W2066652547","doi":"https://doi.org/10.1109/icra.2013.6630858","title":"Attribute based object identification","display_name":"Attribute based object identification","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2066652547","doi":"https://doi.org/10.1109/icra.2013.6630858","mag":"2066652547"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2013.6630858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2013.6630858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 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/A5102596172","display_name":"Yuyin Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuyin Sun","raw_affiliation_strings":["Department of Computer Science & Engineering, University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085032007","display_name":"Liefeng Bo","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liefeng Bo","raw_affiliation_strings":["Pervasive Computing Intel Laboratories, ISTC, Seattle, WA, USA","ISTC Pervasive Comput., Intel Labs., Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Pervasive Computing Intel Laboratories, ISTC, Seattle, WA, USA","institution_ids":["https://openalex.org/I1343180700"]},{"raw_affiliation_string":"ISTC Pervasive Comput., Intel Labs., Seattle, WA, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108257764","display_name":"Dieter Fox","orcid":"https://orcid.org/0009-0009-4694-9127"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dieter Fox","raw_affiliation_strings":["Department of Computer Science & Engineering, University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102596172"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":11.3674,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":{"value":0.98289305,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2096","last_page":"2103"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9995999932289124,"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":0.9969000220298767,"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/computer-science","display_name":"Computer science","score":0.7792134284973145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7715463042259216},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6549453735351562},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5813406705856323},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5464150309562683},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.534498393535614},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.46861061453819275},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.44133415818214417},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4221535325050354},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4208945631980896},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.41173624992370605},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39115357398986816},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3679090142250061},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.31410643458366394},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07460162043571472}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7792134284973145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7715463042259216},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6549453735351562},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5813406705856323},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5464150309562683},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.534498393535614},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.46861061453819275},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.44133415818214417},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4221535325050354},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4208945631980896},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.41173624992370605},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39115357398986816},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3679090142250061},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.31410643458366394},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07460162043571472},{"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icra.2013.6630858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2013.6630858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Robotics and Automation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.297.2790","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.297.2790","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://homes.cs.washington.edu/~lfb/paper/icra13.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5099999904632568}],"awards":[],"funders":[{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W3219084","https://openalex.org/W1573897183","https://openalex.org/W1923162067","https://openalex.org/W1969868017","https://openalex.org/W1995318441","https://openalex.org/W2003458432","https://openalex.org/W2020719522","https://openalex.org/W2070961462","https://openalex.org/W2074142320","https://openalex.org/W2098411764","https://openalex.org/W2125560515","https://openalex.org/W2135562430","https://openalex.org/W2136922672","https://openalex.org/W2151103935","https://openalex.org/W2155284717","https://openalex.org/W2156222070","https://openalex.org/W2159514083","https://openalex.org/W2160547390","https://openalex.org/W2161969291","https://openalex.org/W2163234897","https://openalex.org/W2213271652","https://openalex.org/W2294130536","https://openalex.org/W2536626143","https://openalex.org/W2951281980","https://openalex.org/W3143107425","https://openalex.org/W4235505822","https://openalex.org/W6634595133","https://openalex.org/W6640071036","https://openalex.org/W6649138653","https://openalex.org/W6678800043","https://openalex.org/W6682725716"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W1508899372","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2239445980","https://openalex.org/W2080152487","https://openalex.org/W2012658348","https://openalex.org/W3083152911"],"abstract_inverted_index":{"Over":[0],"the":[1,4,23,41,49,61,144,154],"last":[2],"years,":[3],"robotics":[5],"community":[6,44],"has":[7,34],"made":[8],"substantial":[9],"progress":[10],"in":[11,38,66,80,87,143],"detection":[12],"and":[13,19,74,106],"3D":[14],"pose":[15],"estimation":[16],"of":[17,25,51,71,138,141,157,186],"known":[18],"unknown":[20],"objects.":[21],"However,":[22],"question":[24],"how":[26],"to":[27,47,83,127,160,176],"identify":[28,84],"objects":[29,86,99,142],"based":[30,100,162],"on":[31,101,149],"language":[32,82,103,161],"descriptions":[33,140],"not":[35,59],"been":[36],"investigated":[37],"detail.":[39],"While":[40],"computer":[42],"vision":[43],"recently":[45,120],"started":[46],"investigate":[48],"use":[50],"attributes":[52,73],"for":[53,97,115],"object":[54,75,146,163],"recognition,":[55],"these":[56],"approaches":[57],"do":[58],"consider":[60],"task":[62],"settings":[63],"typically":[64],"observed":[65],"robotics,":[67],"where":[68],"a":[69,88,134],"combination":[70],"appearance":[72,105],"names":[76],"might":[77],"be":[78],"used":[79],"referral":[81],"specific":[85],"scene.":[89],"In":[90],"this":[91,150],"paper,":[92],"we":[93,118],"introduce":[94,133],"an":[95],"approach":[96,159],"identifying":[98],"natural":[102],"containing":[104],"name":[107],"attributes.":[108],"To":[109],"learn":[110,129],"rich":[111],"RGB-D":[112,145],"features":[113,171],"needed":[114],"attribute":[116,139,179,188],"classification,":[117],"extend":[119],"introduced":[121],"sparse":[122],"coding":[123],"techniques":[124],"so":[125],"as":[126],"automatically":[128],"attribute-dependent":[130,170],"features.":[131],"We":[132,165],"large":[135],"data":[136,151],"set":[137,152],"dataset.":[147],"Experiments":[148],"demonstrate":[153],"strong":[155],"performance":[156],"our":[158,169],"identification.":[164],"also":[166],"show":[167],"that":[168],"provide":[172],"significantly":[173],"better":[174],"generalization":[175],"previously":[177],"unseen":[178],"values,":[180],"thereby":[181],"enabling":[182],"more":[183],"rapid":[184],"learning":[185],"new":[187],"values.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":8}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}