{"id":"https://openalex.org/W4394596445","doi":"https://doi.org/10.1109/tpami.2024.3386813","title":"\u201cSeeing\u201d ENF From Neuromorphic Events: Modeling and Robust Estimation","display_name":"\u201cSeeing\u201d ENF From Neuromorphic Events: Modeling and Robust Estimation","publication_year":2024,"publication_date":"2024-04-09","ids":{"openalex":"https://openalex.org/W4394596445","doi":"https://doi.org/10.1109/tpami.2024.3386813","pmid":"https://pubmed.ncbi.nlm.nih.gov/38593011"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2024.3386813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3386813","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/_Seeing_ENF_From_Neuromorphic_Events_Modeling_and_Robust_Estimation/26888686","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081558972","display_name":"Lexuan Xu","orcid":"https://orcid.org/0009-0008-4218-5900"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lexuan Xu","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068604294","display_name":"Guang Hua","orcid":"https://orcid.org/0000-0001-5184-4359"},"institutions":[{"id":"https://openalex.org/I168639165","display_name":"Singapore Institute of Technology","ror":"https://ror.org/01v2c2791","country_code":"SG","type":"education","lineage":["https://openalex.org/I168639165"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Guang Hua","raw_affiliation_strings":["Infocomm Technology (ICT) Cluster, Singapore Institute of Technology (SIT), Singapore"],"affiliations":[{"raw_affiliation_string":"Infocomm Technology (ICT) Cluster, Singapore Institute of Technology (SIT), Singapore","institution_ids":["https://openalex.org/I168639165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003692319","display_name":"Haijian Zhang","orcid":"https://orcid.org/0000-0001-8314-6563"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haijian Zhang","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100736935","display_name":"Lei Yu","orcid":"https://orcid.org/0000-0002-7329-4631"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Yu","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5081558972"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":1.4874,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.81665201,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"46","issue":"10","first_page":"6809","last_page":"6825"},"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/T10581","display_name":"Neural dynamics and brain function","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.7179365158081055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6708938479423523},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6080982685089111},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4591062068939209},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.42389535903930664},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3381469249725342},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3227846622467041},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.320864737033844},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12572690844535828}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.7179365158081055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6708938479423523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6080982685089111},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4591062068939209},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.42389535903930664},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3381469249725342},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3227846622467041},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.320864737033844},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12572690844535828},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2024.3386813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3386813","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:38593011","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38593011","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:figshare.com:article/26888686","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/_Seeing_ENF_From_Neuromorphic_Events_Modeling_and_Robust_Estimation/26888686","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/26888686","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/_Seeing_ENF_From_Neuromorphic_Events_Modeling_and_Robust_Estimation/26888686","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3866675507","display_name":null,"funder_award_id":"2022CFB084","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G4493179999","display_name":null,"funder_award_id":"62271354","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W108379496","https://openalex.org/W2016574277","https://openalex.org/W2028723539","https://openalex.org/W2053368314","https://openalex.org/W2063768365","https://openalex.org/W2073765463","https://openalex.org/W2079596178","https://openalex.org/W2098659326","https://openalex.org/W2168662717","https://openalex.org/W2317745419","https://openalex.org/W2740070353","https://openalex.org/W2748063372","https://openalex.org/W2749252755","https://openalex.org/W2806597708","https://openalex.org/W2884195444","https://openalex.org/W2937953043","https://openalex.org/W2938566814","https://openalex.org/W2950088517","https://openalex.org/W2986921411","https://openalex.org/W2988559054","https://openalex.org/W2995397488","https://openalex.org/W3035212231","https://openalex.org/W3040838455","https://openalex.org/W3043491386","https://openalex.org/W3091138772","https://openalex.org/W3100432536","https://openalex.org/W3127669165","https://openalex.org/W3176127926","https://openalex.org/W3182007707","https://openalex.org/W3184838485","https://openalex.org/W3188021906","https://openalex.org/W3202534481","https://openalex.org/W4210520985","https://openalex.org/W4214638086","https://openalex.org/W4246759550","https://openalex.org/W4280555619","https://openalex.org/W4285131866","https://openalex.org/W4285210186","https://openalex.org/W4295046590","https://openalex.org/W4308015766","https://openalex.org/W4310872889","https://openalex.org/W4312238950","https://openalex.org/W4312425969","https://openalex.org/W4312463210","https://openalex.org/W4312690071","https://openalex.org/W4320015914","https://openalex.org/W4360605519","https://openalex.org/W4362722535","https://openalex.org/W4380905616","https://openalex.org/W4384937769","https://openalex.org/W4385801226","https://openalex.org/W4386047803","https://openalex.org/W4386124125","https://openalex.org/W4389768861","https://openalex.org/W6631194513","https://openalex.org/W6794638954","https://openalex.org/W6846401110","https://openalex.org/W6859304003"],"related_works":["https://openalex.org/W2986579802","https://openalex.org/W3108691306","https://openalex.org/W4389237622","https://openalex.org/W4385753159","https://openalex.org/W4200152843","https://openalex.org/W4214914769","https://openalex.org/W4387251107","https://openalex.org/W2166309310","https://openalex.org/W4317717548","https://openalex.org/W4297621941"],"abstract_inverted_index":{"Most":[0],"artificial":[1],"lights":[2],"exhibit":[3],"subtle":[4],"fluctuations":[5],"in":[6,10,126,190,196],"intensity":[7,99],"and":[8,48,63,101,110,117,128,143,158,168],"frequency":[9],"response":[11],"to":[12,23],"the":[13,16,21,25,35,45,73,79,88,97,119,123,148,152,188],"influence":[14],"of":[15,37],"grid's":[17],"alternating":[18],"current,":[19],"providing":[20],"potential":[22],"estimate":[24],"Electric":[26],"Network":[27],"Frequency":[28],"(ENF)":[29],"from":[30,52,82],"conventional":[31],"frame-based":[32],"videos.":[33],"Nevertheless,":[34],"performance":[36],"Video-based":[38],"ENF":[39,74,124,136,155,193],"(V-ENF)":[40],"estimation":[41,138],"largely":[42],"relies":[43],"on":[44,177],"imaging":[46],"quality":[47],"thus":[49],"may":[50],"suffer":[51],"significant":[53],"interference":[54],"caused":[55],"by":[56,87],"non-ideal":[57],"sampling,":[58],"scene":[59],"diversity,":[60],"motion":[61],"interference,":[62],"extreme":[64,169],"lighting":[65,170],"conditions.":[66],"In":[67],"this":[68],"paper,":[69],"we":[70,115,150],"show":[71],"that":[72,95,182],"can":[75],"be":[76],"extracted":[77],"without":[78],"above":[80],"limitations":[81],"a":[83,92,131],"new":[84],"modality":[85],"provided":[86],"so-called":[89],"event":[90],"camera,":[91],"neuromorphic":[93],"sensor":[94],"encodes":[96],"light":[98],"variations":[100],"asynchronously":[102],"emits":[103],"events":[104,127],"with":[105,162],"extremely":[106],"high":[107,111],"temporal":[108],"resolution":[109],"dynamic":[112],"range.":[113],"Specifically,":[114],"formulate":[116],"validate":[118,147],"physical":[120],"mechanism":[121],"for":[122],"captured":[125],"then":[129],"propose":[130],"simple":[132],"yet":[133],"robust":[134],"Event-based":[135],"(E-ENF)":[137],"method":[139],"through":[140],"mode":[141],"filtering":[142],"harmonic":[144],"enhancement.":[145],"To":[146],"effectiveness,":[149],"build":[151],"first":[153],"Event-Video":[154],"Dataset":[156],"(EV-ENFD)":[157],"its":[159],"extension":[160],"EV-ENFD+":[161],"diverse":[163],"scenarios,":[164],"including":[165],"static,":[166],"dynamic,":[167],"scenes.":[171],"Comprehensive":[172],"experiments":[173],"have":[174],"been":[175],"conducted":[176],"our":[178,183],"proposed":[179,184],"datasets,":[180],"showcasing":[181],"E-ENF":[185],"significantly":[186],"outperforms":[187],"V-ENF":[189],"extracting":[191],"accurate":[192],"traces,":[194],"especially":[195],"challenging":[197],"environments.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
