{"id":"https://openalex.org/W3160319054","doi":"https://doi.org/10.1109/cicc51472.2021.9431446","title":"A 256x256 6.3pJ/pixel-event Query-driven Dynamic Vision Sensor with Energy-conserving Row-parallel Event Scanning","display_name":"A 256x256 6.3pJ/pixel-event Query-driven Dynamic Vision Sensor with Energy-conserving Row-parallel Event Scanning","publication_year":2021,"publication_date":"2021-04-01","ids":{"openalex":"https://openalex.org/W3160319054","doi":"https://doi.org/10.1109/cicc51472.2021.9431446","mag":"3160319054"},"language":"en","primary_location":{"id":"doi:10.1109/cicc51472.2021.9431446","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cicc51472.2021.9431446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Custom Integrated Circuits Conference (CICC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5055741874","display_name":"Rajkumar Kubendran","orcid":"https://orcid.org/0000-0003-3066-4898"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rajkumar Kubendran","raw_affiliation_strings":["University of Pittsburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pittsburgh","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073462253","display_name":"Akshay Paul","orcid":"https://orcid.org/0000-0003-3434-5456"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Akshay Paul","raw_affiliation_strings":["University of California San Diego"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California San Diego","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059013717","display_name":"Gert Cauwenberghs","orcid":"https://orcid.org/0000-0002-3166-5529"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gert Cauwenberghs","raw_affiliation_strings":["University of California San Diego"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California San Diego","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998999834060669,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9836999773979187,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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/pixel","display_name":"Pixel","score":0.7878940105438232},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6118789911270142},{"id":"https://openalex.org/keywords/figure-of-merit","display_name":"Figure of merit","score":0.5610013008117676},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5555148124694824},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.47956007719039917},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.47253134846687317},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4676358997821808},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42998138070106506},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.42510032653808594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38814276456832886},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12448516488075256},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06869509816169739}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7878940105438232},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6118789911270142},{"id":"https://openalex.org/C130277099","wikidata":"https://www.wikidata.org/wiki/Q3676605","display_name":"Figure of merit","level":2,"score":0.5610013008117676},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5555148124694824},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.47956007719039917},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.47253134846687317},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4676358997821808},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42998138070106506},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.42510032653808594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38814276456832886},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12448516488075256},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06869509816169739},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cicc51472.2021.9431446","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cicc51472.2021.9431446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Custom Integrated Circuits Conference (CICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1545807718","https://openalex.org/W2127311482","https://openalex.org/W2594491944","https://openalex.org/W2972000740","https://openalex.org/W3015932348","https://openalex.org/W3040838455","https://openalex.org/W4226051885"],"related_works":["https://openalex.org/W2977517636","https://openalex.org/W2944239605","https://openalex.org/W2139783875","https://openalex.org/W1873415836","https://openalex.org/W4200290804","https://openalex.org/W4312469487","https://openalex.org/W2142311551","https://openalex.org/W2075082765","https://openalex.org/W1548368440","https://openalex.org/W2810129309"],"abstract_inverted_index":{"This":[0],"work":[1],"reports":[2],"a":[3,68],"query-driven":[4],"dynamic":[5],"vision":[6],"sensing":[7],"(q":[8],"DVS)":[9,46],"approach":[10],"to":[11],"computational":[12],"imaging":[13],"that":[14],"substantially":[15],"improves":[16],"on":[17],"the":[18],"achievable":[19],"pixel":[20,39],"density":[21],"and":[22,42,62],"energy":[23,76],"efficiency":[24,77],"of":[25,35,72,80],"visual":[26],"event":[27,70],"coding.":[28],"The":[29,49],"chip":[30],"architecture":[31],"combines":[32],"complementary":[33],"advantages":[34],"frame":[36],"scanning":[37],"active":[38],"sensors":[40],"(APS)":[41],"event-driven":[43],"DVS":[44,52],"(e":[45],"CMOS":[47],"imagers.":[48],"256x256-pixel":[50],"q":[51],"with":[53],"33%":[54],"fill":[55],"factor":[56],"achieves":[57],"10%":[58],"temporal":[59],"contrast":[60],"sensitivity":[61],"consumes":[63],"0.5mW":[64],"from":[65],"1.2V":[66],"at":[67],"peak":[69],"rate":[71],"80Meps,":[73],"yielding":[74],"an":[75],"Figure-of-Merit":[78],"(FoM)":[79],"6.3pJ/pixel-event.":[81]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}