{"id":"https://openalex.org/W2909642632","doi":"https://doi.org/10.1109/iros.2018.8594119","title":"Towards Event-Driven Object Detection with Off-the-Shelf Deep Learning","display_name":"Towards Event-Driven Object Detection with Off-the-Shelf Deep Learning","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2909642632","doi":"https://doi.org/10.1109/iros.2018.8594119","mag":"2909642632"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2018.8594119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2018.8594119","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5048264289","display_name":"Massimiliano Iacono","orcid":null},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Massimiliano Iacono","raw_affiliation_strings":["ICub Facility, Istituto Italiano di Tecnologia, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICub Facility, Istituto Italiano di Tecnologia, Italy","institution_ids":["https://openalex.org/I30771326"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058255696","display_name":"Stefan Weber","orcid":"https://orcid.org/0000-0002-0395-7102"},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefan Weber","raw_affiliation_strings":["ICub Facility, Istituto Italiano di Tecnologia, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICub Facility, Istituto Italiano di Tecnologia, Italy","institution_ids":["https://openalex.org/I30771326"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048999395","display_name":"Arren Glover","orcid":"https://orcid.org/0000-0003-4499-4070"},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Arren Glover","raw_affiliation_strings":["ICub Facility, Istituto Italiano di Tecnologia, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICub Facility, Istituto Italiano di Tecnologia, Italy","institution_ids":["https://openalex.org/I30771326"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019257524","display_name":"Chiara Bartolozzi","orcid":"https://orcid.org/0000-0003-3465-6449"},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Chiara Bartolozzi","raw_affiliation_strings":["ICub Facility, Istituto Italiano di Tecnologia, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICub Facility, Istituto Italiano di Tecnologia, Italy","institution_ids":["https://openalex.org/I30771326"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9643,"has_fulltext":false,"cited_by_count":73,"citation_normalized_percentile":{"value":0.87439257,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"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":1.0,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9840999841690063,"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":0.9801999926567078,"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":0.8329551219940186},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7087628841400146},{"id":"https://openalex.org/keywords/icub","display_name":"iCub","score":0.6944354176521301},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5648665428161621},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5185754299163818},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5180480480194092},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.48817378282546997},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4754343032836914},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.46490204334259033},{"id":"https://openalex.org/keywords/low-latency","display_name":"Low latency (capital markets)","score":0.4494209587574005},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.23510855436325073},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.1890944242477417},{"id":"https://openalex.org/keywords/humanoid-robot","display_name":"Humanoid robot","score":0.13724276423454285}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8329551219940186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7087628841400146},{"id":"https://openalex.org/C111151474","wikidata":"https://www.wikidata.org/wiki/Q1653368","display_name":"iCub","level":4,"score":0.6944354176521301},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5648665428161621},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5185754299163818},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5180480480194092},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.48817378282546997},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4754343032836914},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.46490204334259033},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.4494209587574005},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.23510855436325073},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.1890944242477417},{"id":"https://openalex.org/C60692881","wikidata":"https://www.wikidata.org/wiki/Q584529","display_name":"Humanoid robot","level":3,"score":0.13724276423454285},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"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/iros.2018.8594119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2018.8594119","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6100000143051147,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1645800954","https://openalex.org/W1861492603","https://openalex.org/W1980178290","https://openalex.org/W2004360097","https://openalex.org/W2008008156","https://openalex.org/W2046644792","https://openalex.org/W2070304943","https://openalex.org/W2097117768","https://openalex.org/W2161222115","https://openalex.org/W2163605009","https://openalex.org/W2328877128","https://openalex.org/W2557728737","https://openalex.org/W2563042993","https://openalex.org/W2563453945","https://openalex.org/W2565565355","https://openalex.org/W2565755350","https://openalex.org/W2624273542","https://openalex.org/W2733297609","https://openalex.org/W2733410219","https://openalex.org/W2745933219","https://openalex.org/W2757539224","https://openalex.org/W2775178320","https://openalex.org/W2919115771","https://openalex.org/W2971713705","https://openalex.org/W3106250896","https://openalex.org/W6639102338","https://openalex.org/W6651332660","https://openalex.org/W6684191040","https://openalex.org/W6739663239","https://openalex.org/W6741121683","https://openalex.org/W6744354845","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2086370654","https://openalex.org/W2130280438","https://openalex.org/W4235148364","https://openalex.org/W4231044562","https://openalex.org/W2079582948","https://openalex.org/W1999531358","https://openalex.org/W2776939420","https://openalex.org/W2122050160","https://openalex.org/W4237651640","https://openalex.org/W2499388093"],"abstract_inverted_index":{"Event":[0],"cameras":[1],"are":[2,69],"an":[3],"emerging":[4],"technology":[5],"in":[6,48,65,121,164],"computer":[7],"vision,":[8],"offering":[9],"extremely":[10],"low":[11],"latency":[12],"and":[13,22,61,85,88,111,138],"bandwidth,":[14],"as":[15,17,30],"well":[16],"a":[18,112,118,152],"high":[19],"temporal":[20,143],"resolution":[21],"dynamic":[23],"range.":[24],"Inherent":[25],"data":[26,32,98],"compression":[27],"is":[28,33,92,125],"achieved":[29],"pixel":[31],"only":[34],"produced":[35],"by":[36],"contrast":[37],"changes":[38],"at":[39],"the":[40,74,95,101,134,140,146,170],"edges":[41],"of":[42,76,142,145],"moving":[43],"objects.":[44],"However,":[45],"current":[46],"trends":[47],"state-of-the-art":[49],"visual":[50,78,128],"algorithms":[51],"rely":[52],"on":[53,133],"deep-learning":[54,124],"with":[55],"networks":[56],"designed":[57],"to":[58,82,107,127,166],"process":[59],"colour":[60],"intensity":[62],"information":[63,103],"contained":[64],"dense":[66],"arrays,":[67],"but":[68],"notoriously":[70],"computationally":[71],"heavy.":[72],"While":[73],"combination":[75],"these":[77,105],"technologies":[79],"could":[80],"lead":[81],"fast,":[83],"efficient,":[84],"accurate":[86],"detection":[87,132],"recognition":[89],"algorithms,":[90,163],"it":[91],"uncertain":[93],"whether":[94],"compressed":[96],"event-camera":[97],"actually":[99],"contain":[100],"required":[102,171],"for":[104,130],"techniques":[106],"discriminate":[108],"between":[109],"objects":[110],"cluttered":[113],"background.":[114],"This":[115],"paper":[116],"presents":[117],"pilot":[119],"study":[120],"which":[122],"off-the-shelf":[123],"applied":[126],"events":[129],"object":[131],"iCub":[135],"robotic":[136],"platform,":[137],"analyses":[139],"impact":[141],"integration":[144],"event":[147],"data.":[148],"We":[149],"also":[150],"present":[151],"novel":[153],"pipeline":[154],"that":[155],"bootstraps":[156],"event-based":[157],"dataset":[158],"annotation":[159],"from":[160],"mature":[161],"frame-based":[162],"order":[165],"more":[167],"quickly":[168],"generate":[169],"datasets.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5}],"updated_date":"2026-06-19T17:40:00.097472","created_date":"2025-10-10T00:00:00"}
