{"id":"https://openalex.org/W4385488572","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191543","title":"Simultaneous neuromorphic selection of multiple salient objects for event vision","display_name":"Simultaneous neuromorphic selection of multiple salient objects for event vision","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4385488572","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191543"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn54540.2023.10191543","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191543","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-04181364/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038643925","display_name":"Am\u00e9lie Gruel","orcid":"https://orcid.org/0000-0003-3916-0514"},"institutions":[{"id":"https://openalex.org/I4390039363","display_name":"Infection et inflammation","ror":"https://ror.org/021sh3243","country_code":null,"type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I195731000","https://openalex.org/I277688954","https://openalex.org/I4390039363"]},{"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/I4210106479","display_name":"Laboratoire d'Informatique, Signaux et Syst\u00e8mes de Sophia Antipolis","ror":"https://ror.org/01215r597","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I201841394","https://openalex.org/I4210106479","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Am\u00e9lie Gruel","raw_affiliation_strings":["i3S / CNRS Université Côte d'Azur,Sophia Antipolis,France","Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems (Laboratoire I3S\r\nCS 40121\r\n06903 Sophia Antipolis Cedex - France)"],"affiliations":[{"raw_affiliation_string":"i3S / CNRS Université Côte d'Azur,Sophia Antipolis,France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210106479"]},{"raw_affiliation_string":"Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems (Laboratoire I3S\r\nCS 40121\r\n06903 Sophia Antipolis Cedex - France)","institution_ids":["https://openalex.org/I4210106479","https://openalex.org/I4390039363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008175973","display_name":"Jean Martinet","orcid":"https://orcid.org/0000-0001-8821-5556"},"institutions":[{"id":"https://openalex.org/I4390039363","display_name":"Infection et inflammation","ror":"https://ror.org/021sh3243","country_code":null,"type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I195731000","https://openalex.org/I277688954","https://openalex.org/I4390039363"]},{"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/I4210106479","display_name":"Laboratoire d'Informatique, Signaux et Syst\u00e8mes de Sophia Antipolis","ror":"https://ror.org/01215r597","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I201841394","https://openalex.org/I4210106479","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean Martinet","raw_affiliation_strings":["i3S / CNRS Université Côte d'Azur,Sophia Antipolis,France","Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems (Laboratoire I3S\r\nCS 40121\r\n06903 Sophia Antipolis Cedex - France)"],"affiliations":[{"raw_affiliation_string":"i3S / CNRS Université Côte d'Azur,Sophia Antipolis,France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210106479"]},{"raw_affiliation_string":"Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems (Laboratoire I3S\r\nCS 40121\r\n06903 Sophia Antipolis Cedex - France)","institution_ids":["https://openalex.org/I4210106479","https://openalex.org/I4390039363"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066423975","display_name":"Michele Magno","orcid":"https://orcid.org/0000-0003-0368-8923"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michele Magno","raw_affiliation_strings":["PBL Center, ETH Zürich,Zürich,Switzerland"],"affiliations":[{"raw_affiliation_string":"PBL Center, ETH Zürich,Zürich,Switzerland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038643925"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210106479","https://openalex.org/I4390039363"],"apc_list":null,"apc_paid":null,"fwci":0.6465,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68027667,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","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":0.989300012588501,"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/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.9758282899856567},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8063790798187256},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6843480467796326},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6415261030197144},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5638846158981323},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.5576533675193787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5201845169067383},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.4366084337234497},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.39923691749572754},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33506542444229126},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3303295969963074},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.29260677099227905}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.9758282899856567},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8063790798187256},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6843480467796326},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6415261030197144},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5638846158981323},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.5576533675193787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5201845169067383},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.4366084337234497},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.39923691749572754},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33506542444229126},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3303295969963074},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.29260677099227905},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn54540.2023.10191543","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191543","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04181364v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04181364","pdf_url":"https://hal.science/hal-04181364/document","source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://2023.ijcnn.org","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04181364v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04181364","pdf_url":"https://hal.science/hal-04181364/document","source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://2023.ijcnn.org","raw_type":"Conference papers"},"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G1155517136","display_name":"Analog PROcessing of bioinspired VIsion Sensors for 3D reconstruction","funder_award_id":"ANR-19-CHR3-0008","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G5509659972","display_name":null,"funder_award_id":"CHIST-ERA","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8318455765","display_name":null,"funder_award_id":"ANR-19","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G8384719311","display_name":null,"funder_award_id":"ERA-NET","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G8430433013","display_name":null,"funder_award_id":"CHIST-ERA","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320338463","display_name":"CHIST-ERA","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385488572.pdf","grobid_xml":"https://content.openalex.org/works/W4385488572.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1664751303","https://openalex.org/W1926086117","https://openalex.org/W1977503502","https://openalex.org/W2016574277","https://openalex.org/W2076661751","https://openalex.org/W2087690369","https://openalex.org/W2087861759","https://openalex.org/W2140886546","https://openalex.org/W2153041354","https://openalex.org/W2164084182","https://openalex.org/W2745933219","https://openalex.org/W2757075404","https://openalex.org/W2884121069","https://openalex.org/W2971783054","https://openalex.org/W2994602346","https://openalex.org/W3003820562","https://openalex.org/W3011580194","https://openalex.org/W3040838455","https://openalex.org/W3090117981","https://openalex.org/W3102040318","https://openalex.org/W3175875053","https://openalex.org/W4213351728","https://openalex.org/W4229444412","https://openalex.org/W4290080024","https://openalex.org/W4291997366","https://openalex.org/W4297097447","https://openalex.org/W4302759643","https://openalex.org/W4319300991","https://openalex.org/W6672593952","https://openalex.org/W6681041898","https://openalex.org/W6753258136","https://openalex.org/W6774668619","https://openalex.org/W6783508657","https://openalex.org/W6846112351","https://openalex.org/W7023726515"],"related_works":["https://openalex.org/W3089892344","https://openalex.org/W2960220682","https://openalex.org/W4313442939","https://openalex.org/W4386227293","https://openalex.org/W4372267706","https://openalex.org/W2885510266","https://openalex.org/W4288055417","https://openalex.org/W4205804651","https://openalex.org/W4287758233","https://openalex.org/W3136467750"],"abstract_inverted_index":{"The":[0],"combined":[1],"use":[2],"of":[3,16,63,72,87,97,107,122,132,157,166,181],"spiking":[4],"neural":[5],"networks":[6],"and":[7,26,49,84,102,127],"event":[8,158],"cameras":[9],"is":[10,112,170],"gaining":[11],"momentum":[12],"in":[13,38,75,146],"the":[14,109,133,143,153,164,171],"field":[15],"embedded":[17,32,161],"computer":[18],"vision":[19],"as":[20,89],"they":[21],"promise":[22],"to":[23,42,92,114,176],"reduce":[24],"latency":[25],"computational":[27],"resource":[28],"requests.":[29],"However,":[30],"state-of-the-art":[31],"neuromorphic":[33,61,155,173],"models":[34],"show":[35],"little":[36],"interest":[37,73,88],"modifying":[39],"input":[40],"data":[41,159],"optimise":[43],"model":[44,62,111,174],"performance,":[45],"memory":[46],"usage,":[47],"latency,":[48],"power":[50],"consumption.":[51],"This":[52,79],"work":[53,80],"addresses":[54],"this":[55,147],"optimisation":[56],"trade-off":[57],"by":[58],"implementing":[59],"a":[60,93,104,120],"salient":[64],"selection,":[65],"which":[66],"simultaneously":[67,115,177],"outputs":[68],"multiple":[69,179],"segregated":[70],"objects":[71,118,129,180],"detected":[74],"an":[76],"event-based":[77],"scene.":[78],"extends":[81],"previous":[82],"ones":[83],"identifies":[85],"regions":[86],"those":[90],"corresponding":[91],"high":[94],"spatiotemporal":[95],"density":[96],"events.":[98],"Without":[99],"any":[100],"training":[101],"with":[103,119],"limited":[105],"number":[106],"neurons,":[108],"proposed":[110,145],"able":[113,175],"detect":[116],"different":[117],"delay":[121],"only":[123],"14ms":[124],"at":[125],"most,":[126],"filtered":[128],"maintain":[130],"73%":[131],"original":[134],"data's":[135],"classification":[136],"performance.":[137],"We":[138],"are":[139],"thus":[140],"confident":[141],"that":[142],"method":[144],"paper":[148],"will":[149],"allow":[150],"for":[151],"improving":[152],"subsequent":[154],"processing":[156],"on":[160],"systems.":[162],"To":[163],"best":[165],"our":[167],"knowledge,":[168],"it":[169],"first":[172],"select":[178],"interest.":[182],"Our":[183],"code":[184],"can":[185],"be":[186],"found":[187],"here:":[188],"github.com/amygruel/FoveationStakes_DVS/.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}