{"id":"https://openalex.org/W4243622332","doi":"https://doi.org/10.1109/isscc.2009.4977352","title":"A 201.4GOPS 496mW real-time multi-object recognition processor with bio-inspired neural perception engine","display_name":"A 201.4GOPS 496mW real-time multi-object recognition processor with bio-inspired neural perception engine","publication_year":2009,"publication_date":"2009-02-01","ids":{"openalex":"https://openalex.org/W4243622332","doi":"https://doi.org/10.1109/isscc.2009.4977352"},"language":"en","primary_location":{"id":"doi:10.1109/isscc.2009.4977352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isscc.2009.4977352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Solid-State Circuits Conference - Digest of Technical Papers","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/A5100447377","display_name":"Joo-Young Kim","orcid":"https://orcid.org/0000-0003-1099-1496"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Joo-Young Kim","raw_affiliation_strings":["KAIST, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100343631","display_name":"Minsu Kim","orcid":"https://orcid.org/0000-0002-7179-6929"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minsu Kim","raw_affiliation_strings":["KAIST, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100734813","display_name":"Seungjin Lee","orcid":"https://orcid.org/0000-0002-7404-8731"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungjin Lee","raw_affiliation_strings":["KAIST, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089478486","display_name":"Jinwook Oh","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinwook Oh","raw_affiliation_strings":["KAIST, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101798792","display_name":"Kwanho Kim","orcid":"https://orcid.org/0000-0002-9487-2365"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kwanho Kim","raw_affiliation_strings":["KAIST, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012002123","display_name":"Sejong Oh","orcid":"https://orcid.org/0000-0002-9365-274X"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sejong Oh","raw_affiliation_strings":["KAIST, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110255913","display_name":"Jeong\u2010Ho Woo","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeong-Ho Woo","raw_affiliation_strings":["KAIST, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100454674","display_name":"Donghyun Kim","orcid":"https://orcid.org/0000-0002-4725-4900"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Donghyun Kim","raw_affiliation_strings":["KAIST, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077896259","display_name":"Hoi\u2010Jun Yoo","orcid":"https://orcid.org/0000-0002-6661-4879"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hoi-Jun Yoo","raw_affiliation_strings":["KAIST, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5100447377"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":2.6917,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.90721304,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"150","last_page":"151,151a"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10581","display_name":"Neural dynamics and brain function","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8022381663322449},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.7476454377174377},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6414883732795715},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6222345232963562},{"id":"https://openalex.org/keywords/3d-single-object-recognition","display_name":"3D single-object recognition","score":0.6149726510047913},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5753687620162964},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5445916056632996},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.49616751074790955},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.49603232741355896},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.473227858543396},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.46027064323425293},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.44863173365592957},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.26467952132225037}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8022381663322449},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.7476454377174377},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6414883732795715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6222345232963562},{"id":"https://openalex.org/C14551309","wikidata":"https://www.wikidata.org/wiki/Q4636325","display_name":"3D single-object recognition","level":4,"score":0.6149726510047913},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5753687620162964},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5445916056632996},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.49616751074790955},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.49603232741355896},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.473227858543396},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.46027064323425293},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.44863173365592957},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26467952132225037},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isscc.2009.4977352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isscc.2009.4977352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Solid-State Circuits Conference - Digest of Technical Papers","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":8,"referenced_works":["https://openalex.org/W1543644792","https://openalex.org/W1966637404","https://openalex.org/W2116528865","https://openalex.org/W2156761163","https://openalex.org/W2174613990","https://openalex.org/W2180773256","https://openalex.org/W2293768995","https://openalex.org/W6632569880"],"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":{"The":[0],"visual":[1],"attention":[2],"mechanism,":[3],"which":[4],"is":[5,50],"the":[6,16,28],"way":[7],"humans":[8],"perform":[9],"object":[10,22,43],"recognition":[11,23,56],"[1],":[12],"was":[13],"applied":[14],"to":[15],"implementation":[17],"of":[18,34],"a":[19,45],"high":[20],"performance":[21],"chip":[24,30],"[2].":[25],"Even":[26],"though":[27],"previous":[29],"achieved":[31],"50%":[32],"gain":[33],"computational":[35],"cost":[36],"[2],":[37],"it":[38,49],"could":[39],"recognize":[40],"only":[41],"one":[42],"in":[44],"frame":[46],"so":[47],"that":[48],"not":[51],"suitable":[52],"for":[53],"advanced":[54],"multi-object":[55],"applications":[57],"such":[58],"as":[59],"video":[60],"surveillance,":[61],"intelligent":[62],"robots,":[63],"and":[64],"autonomous":[65],"vehicle":[66],"navigation":[67],"[3].":[68]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
