{"id":"https://openalex.org/W3158207638","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533514","title":"Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks","display_name":"Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3158207638","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533514","mag":"3158207638"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2104.12579","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028569496","display_name":"Lo\u00efc Cordone","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210095736","display_name":"Laboratoire d'\u00c9lectronique, Antennes et T\u00e9l\u00e9communications","ror":"https://ror.org/00ah32k04","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I201841394","https://openalex.org/I4210095736","https://openalex.org/I4210095849"]},{"id":"https://openalex.org/I1301102746","display_name":"Renault (France)","ror":"https://ror.org/04v98kq37","country_code":"FR","type":"company","lineage":["https://openalex.org/I1301102746"]},{"id":"https://openalex.org/I4403928311","display_name":"Laboratory for Research on Enterprise and Decisions","ror":"https://ror.org/04zp4f313","country_code":null,"type":"facility","lineage":["https://openalex.org/I4403928311","https://openalex.org/I68916915"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Loic Cordone","raw_affiliation_strings":["Renault and LEAT / CNRS UMR 7248, Sophia Antipolis, France","Renault Software Lab","Laboratoire d'Electronique, Antennes et T\u00e9l\u00e9communications"],"affiliations":[{"raw_affiliation_string":"Renault and LEAT / CNRS UMR 7248, Sophia Antipolis, France","institution_ids":["https://openalex.org/I1301102746","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Renault Software Lab","institution_ids":["https://openalex.org/I1301102746","https://openalex.org/I4403928311"]},{"raw_affiliation_string":"Laboratoire d'Electronique, Antennes et T\u00e9l\u00e9communications","institution_ids":["https://openalex.org/I4210095736"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080472332","display_name":"Beno\u00eet Miramond","orcid":"https://orcid.org/0000-0002-1229-7046"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210095736","display_name":"Laboratoire d'\u00c9lectronique, Antennes et T\u00e9l\u00e9communications","ror":"https://ror.org/00ah32k04","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I201841394","https://openalex.org/I4210095736","https://openalex.org/I4210095849"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Benoit Miramond","raw_affiliation_strings":["LEAT / CNRS UMR 7248 University C\u00f4ted'Azur, Sophia Antipolis, France","Laboratoire d'Electronique, Antennes et T\u00e9l\u00e9communications"],"affiliations":[{"raw_affiliation_string":"LEAT / CNRS UMR 7248 University C\u00f4ted'Azur, Sophia Antipolis, France","institution_ids":["https://openalex.org/I4210095736","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Laboratoire d'Electronique, Antennes et T\u00e9l\u00e9communications","institution_ids":["https://openalex.org/I4210095736"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037937400","display_name":"Sonia Ferrante","orcid":null},"institutions":[{"id":"https://openalex.org/I4403928311","display_name":"Laboratory for Research on Enterprise and Decisions","ror":"https://ror.org/04zp4f313","country_code":null,"type":"facility","lineage":["https://openalex.org/I4403928311","https://openalex.org/I68916915"]},{"id":"https://openalex.org/I1301102746","display_name":"Renault (France)","ror":"https://ror.org/04v98kq37","country_code":"FR","type":"company","lineage":["https://openalex.org/I1301102746"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Sonia Ferrante","raw_affiliation_strings":["Renault, Sophia Antipolis, France","Renault Software Lab"],"affiliations":[{"raw_affiliation_string":"Renault, Sophia Antipolis, France","institution_ids":["https://openalex.org/I1301102746"]},{"raw_affiliation_string":"Renault Software Lab","institution_ids":["https://openalex.org/I1301102746","https://openalex.org/I4403928311"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028569496"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I1301102746","https://openalex.org/I4210095736","https://openalex.org/I4403928311"],"apc_list":null,"apc_paid":null,"fwci":0.1016,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4117172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9979000091552734,"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"}},{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8153314590454102},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7464405298233032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6339473128318787},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5322026610374451},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.4900861978530884},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41140735149383545},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39849787950515747},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.28304558992385864}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8153314590454102},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7464405298233032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6339473128318787},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5322026610374451},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.4900861978530884},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41140735149383545},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39849787950515747},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28304558992385864},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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":5,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2104.12579","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.12579","pdf_url":"https://arxiv.org/pdf/2104.12579","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:HAL:hal-03208690v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03208690","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://ieeexplore.ieee.org/document/9533514","raw_type":"Conference papers"},{"id":"pmh:oai:oskar-bordeaux.fr:20.500.12278/39733","is_oa":false,"landing_page_url":"https://oskar-bordeaux.fr/handle/20.500.12278/39733","pdf_url":null,"source":{"id":"https://openalex.org/S4306402569","display_name":"Oskar-Bordeaux (Universite de Bordeaux)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Communication dans un congr\u00e8s avec actes"},{"id":"doi:10.48550/arxiv.2104.12579","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2104.12579","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2104.12579","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.12579","pdf_url":"https://arxiv.org/pdf/2104.12579","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8999999761581421}],"awards":[{"id":"https://openalex.org/G6053939218","display_name":null,"funder_award_id":"CIFRE","funder_id":"https://openalex.org/F4320321663","funder_display_name":"Association Nationale de la Recherche et de la Technologie"}],"funders":[{"id":"https://openalex.org/F4320321663","display_name":"Association Nationale de la Recherche et de la Technologie","ror":"https://ror.org/00ht2ab73"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3158207638.pdf","grobid_xml":"https://content.openalex.org/works/W3158207638.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1935978687","https://openalex.org/W1985940938","https://openalex.org/W2006370340","https://openalex.org/W2098881438","https://openalex.org/W2141840773","https://openalex.org/W2165396124","https://openalex.org/W2469278928","https://openalex.org/W2472115300","https://openalex.org/W2569813014","https://openalex.org/W2745933219","https://openalex.org/W2779025322","https://openalex.org/W2783525259","https://openalex.org/W2796368857","https://openalex.org/W2796402180","https://openalex.org/W2891530223","https://openalex.org/W2896895627","https://openalex.org/W2903637075","https://openalex.org/W2963125977","https://openalex.org/W2963182550","https://openalex.org/W2963322427","https://openalex.org/W2975103258","https://openalex.org/W2984844508","https://openalex.org/W2987260487","https://openalex.org/W2994689640","https://openalex.org/W2998281665","https://openalex.org/W3025773901","https://openalex.org/W3039515597","https://openalex.org/W3090932490","https://openalex.org/W3093471076","https://openalex.org/W3097980825","https://openalex.org/W3099359153","https://openalex.org/W3102040318","https://openalex.org/W3110053799","https://openalex.org/W3110073026","https://openalex.org/W6747756095","https://openalex.org/W6754595668","https://openalex.org/W6765188722","https://openalex.org/W6767164110","https://openalex.org/W6783508657","https://openalex.org/W6785157273"],"related_works":["https://openalex.org/W3093612317","https://openalex.org/W2613736958","https://openalex.org/W2175746458","https://openalex.org/W2732542196","https://openalex.org/W2760085659","https://openalex.org/W2883200793","https://openalex.org/W2738221750","https://openalex.org/W3012978760","https://openalex.org/W2912288872","https://openalex.org/W2726121760"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1,101,142,150,187],"networks":[2,24,102,143,151,188],"(CNNs)":[3],"are":[4,25,146,166],"now":[5],"the":[6,37,160,181,194,211,225],"de":[7],"facto":[8],"solution":[9],"for":[10,65,224],"computer":[11,84],"vision":[12,85],"problems":[13],"thanks":[14],"to":[15,89,159,219],"their":[16,44,56,163],"impressive":[17],"results":[18,50],"and":[19,78,99,108,123,169,207],"ease":[20],"of":[21,27,29,75,162,183,204,228],"learning.":[22],"These":[23],"composed":[26],"layers":[28],"connected":[30],"units":[31,153],"called":[32],"artificial":[33],"neurons,":[34],"loosely":[35],"modeling":[36],"neurons":[38],"in":[39,51,73,202],"a":[40,63,176],"biological":[41],"brain.":[42],"However,":[43],"implementation":[45],"on":[46,58,190,210,231],"conventional":[47],"hardware":[48,167],"(CPU/GPU)":[49],"high":[52,71],"power":[53],"consumption,":[54],"making":[55],"integration":[57],"embedded":[59,67],"systems":[60],"difficult.":[61],"In":[62],"car":[64],"example,":[66],"algorithms":[68,125],"have":[69],"very":[70],"constraints":[72],"term":[74],"energy,":[76],"latency":[77],"accuracy.":[79],"To":[80,135],"design":[81],"more":[82,147],"efficient":[83,114],"algorithms,":[86],"we":[87,139],"propose":[88],"follow":[90],"an":[91,112],"end-to-end":[92],"biologically":[93,148],"inspired":[94],"approach":[95,223],"using":[96,155,193],"event":[97,191],"cameras":[98,105],"spiking":[100,141,185],"(SNNs).":[103],"Event":[104],"output":[106],"asynchronous":[107],"sparse":[109,184],"events,":[110],"providing":[111],"incredibly":[113],"data":[115],"source,":[116],"but":[117,171],"processing":[118],"these":[119],"events":[120],"with":[121],"synchronous":[122],"dense":[124],"such":[126],"as":[127],"CNNs":[128],"does":[129],"not":[130],"yield":[131],"any":[132],"significant":[133],"benefits.":[134],"address":[136],"this":[137,221],"limitation,":[138],"use":[140,220],"(SNNs),":[144],"which":[145],"realistic":[149],"where":[152],"communicate":[154],"discrete":[156],"spikes.":[157],"Due":[158],"nature":[161],"operations,":[164],"they":[165],"friendly":[168],"energy-efficient,":[170],"training":[172,182,208],"them":[173],"still":[174],"remains":[175],"challenge.":[177],"Our":[178],"method":[179],"enables":[180],"convolutional":[186],"directly":[189],"data,":[192],"popular":[195,212],"deep":[196],"learning":[197],"framework":[198],"PyTorch.":[199],"The":[200],"performances":[201],"terms":[203],"accuracy,":[205],"sparsity":[206],"time":[209],"DVS128":[213],"Gesture":[214],"Dataset":[215],"make":[216],"it":[217],"possible":[218],"bio-inspired":[222],"future":[226],"embedding":[227],"real-time":[229],"applications":[230],"low-power":[232],"neuromorphic":[233],"hardware.":[234]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}
