{"id":"https://openalex.org/W4408399497","doi":"https://doi.org/10.1109/tcsvt.2025.3550901","title":"Event-Based Video Reconstruction Via Spatial\u2013Temporal Heterogeneous Spiking Neural Network","display_name":"Event-Based Video Reconstruction Via Spatial\u2013Temporal Heterogeneous Spiking Neural Network","publication_year":2025,"publication_date":"2025-03-13","ids":{"openalex":"https://openalex.org/W4408399497","doi":"https://doi.org/10.1109/tcsvt.2025.3550901"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2025.3550901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3550901","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Circuits and Systems for Video Technology","raw_type":"journal-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":null,"display_name":"Jiajie Yu","orcid":"https://orcid.org/0009-0007-0565-8062"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajie Yu","raw_affiliation_strings":["Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0009-0007-0565-8062","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101687671","display_name":"Xing Han L\u00f9","orcid":"https://orcid.org/0000-0001-9027-8425"},"institutions":[{"id":"https://openalex.org/I13591777","display_name":"University of Nottingham Ningbo China","ror":"https://ror.org/03y4dt428","country_code":"CN","type":"education","lineage":["https://openalex.org/I13591777","https://openalex.org/I142263535"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Lu","raw_affiliation_strings":["Department of Computer Science, University of Nottingham Ningbo China, Ningbo, China","University of Nottingham Ningbo China, Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Nottingham Ningbo China, Ningbo, China","institution_ids":["https://openalex.org/I13591777"]},{"raw_affiliation_string":"University of Nottingham Ningbo China, Ningbo, China","institution_ids":["https://openalex.org/I13591777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013717269","display_name":"Lijun Guo","orcid":"https://orcid.org/0000-0002-6133-9564"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijun Guo","raw_affiliation_strings":["Merchants’ Guild Economics and Cultural Intelligent Computing Laboratory, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0002-6133-9564","affiliations":[{"raw_affiliation_string":"Merchants’ Guild Economics and Cultural Intelligent Computing Laboratory, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100769643","display_name":"Chong Wang","orcid":"https://orcid.org/0000-0001-6016-6545"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chong Wang","raw_affiliation_strings":["Merchants’ Guild Economics and Cultural Intelligent Computing Laboratory, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0001-6016-6545","affiliations":[{"raw_affiliation_string":"Merchants’ Guild Economics and Cultural Intelligent Computing Laboratory, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018970859","display_name":"Guoqi Li","orcid":"https://orcid.org/0000-0002-8994-431X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqi Li","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China","Institute of Automation, Chinese Academy of Sciences, and Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8994-431X","affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]},{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, and Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004828717","display_name":"Jiangbo Qian","orcid":"https://orcid.org/0000-0003-4245-3246"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangbo Qian","raw_affiliation_strings":["Merchants’ Guild Economics and Cultural Intelligent Computing Laboratory, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0003-4245-3246","affiliations":[{"raw_affiliation_string":"Merchants’ Guild Economics and Cultural Intelligent Computing Laboratory, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5376,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.81151763,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"35","issue":"9","first_page":"8478","last_page":"8494"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9988999962806702,"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":0.9988999962806702,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9902999997138977,"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"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9876000285148621,"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":0.7864161133766174},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5560626983642578},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5277919173240662},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5119832158088684},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.4670730233192444},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4525437355041504},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32703647017478943}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7864161133766174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5560626983642578},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5277919173240662},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5119832158088684},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.4670730233192444},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4525437355041504},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32703647017478943},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2025.3550901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3550901","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3852547248","display_name":null,"funder_award_id":"62271274","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/F4320337015","display_name":"K. C. Wong Magna Fund in Ningbo University","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W206948248","https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W1999085092","https://openalex.org/W2064675550","https://openalex.org/W2133665775","https://openalex.org/W2138913040","https://openalex.org/W2548527721","https://openalex.org/W2567239141","https://openalex.org/W2569813014","https://openalex.org/W2752782242","https://openalex.org/W2775079417","https://openalex.org/W2783185291","https://openalex.org/W2785582094","https://openalex.org/W2883294120","https://openalex.org/W2886787375","https://openalex.org/W2902348052","https://openalex.org/W2904275768","https://openalex.org/W2962785568","https://openalex.org/W2964132169","https://openalex.org/W2998119008","https://openalex.org/W2998281665","https://openalex.org/W3010556452","https://openalex.org/W3035000326","https://openalex.org/W3040838455","https://openalex.org/W3092083701","https://openalex.org/W3102040318","https://openalex.org/W3109192943","https://openalex.org/W3122490299","https://openalex.org/W3124624766","https://openalex.org/W3177222833","https://openalex.org/W4231081240","https://openalex.org/W4289752563","https://openalex.org/W4293731929","https://openalex.org/W4312383539","https://openalex.org/W4312835276","https://openalex.org/W4367146527","https://openalex.org/W4381946531","https://openalex.org/W4382457774","https://openalex.org/W4385815478","https://openalex.org/W4386917315","https://openalex.org/W4387409844","https://openalex.org/W4390707165","https://openalex.org/W4392543664","https://openalex.org/W4392901701","https://openalex.org/W4392939812","https://openalex.org/W4393148745","https://openalex.org/W4393158610","https://openalex.org/W4393159836","https://openalex.org/W4402660157","https://openalex.org/W4404002457","https://openalex.org/W4405360503","https://openalex.org/W4409346786"],"related_works":["https://openalex.org/W3126544799","https://openalex.org/W3104333581","https://openalex.org/W2542565870","https://openalex.org/W3111828357","https://openalex.org/W3018398156","https://openalex.org/W2920832517","https://openalex.org/W4388827557","https://openalex.org/W4387877594","https://openalex.org/W4285676431","https://openalex.org/W4377969828"],"abstract_inverted_index":{"Event":[0],"cameras":[1],"detect":[2],"per-pixel":[3],"brightness":[4],"changes":[5],"and":[6,18,33,135,138,168,202,214,226,254,264,280],"output":[7],"asynchronous":[8,112,156],"event":[9,26,57,79,115,133,157],"streams":[10,27,134],"with":[11,273],"high":[12,15,70],"temporal":[13],"resolution,":[14],"dynamic":[16],"range,":[17],"low":[19,125],"latency.":[20],"However,":[21],"the":[22,37,75,111,163,184,189,192,195,198,212,219,224,231,236,262,270],"unstructured":[23],"nature":[24,113],"of":[25,78,89,114,191,197,218,277],"means":[28],"that":[29,93,120,242],"humans":[30],"cannot":[31],"analyze":[32,132],"interpret":[34],"them":[35],"in":[36,228,248],"same":[38],"way":[39],"as":[40,211],"natural":[41],"images.":[42],"Event-based":[43],"video":[44],"reconstruction":[45,60,141],"is":[46,221],"a":[47,86,146,177],"widely":[48],"used":[49],"method":[50],"aimed":[51],"at":[52],"reconstructing":[53,155],"intuitive":[54],"videos":[55],"from":[56,122],"streams.":[58,158],"Most":[59],"methods":[61,106],"based":[62,107,182],"on":[63,108,183,234],"traditional":[64],"artificial":[65],"neural":[66,82,91],"networks":[67,83,92],"(ANNs)":[68],"have":[69],"energy":[71,256,274],"consumption,":[72],"which":[73,99],"counteracts":[74],"low-power":[76],"advantage":[77],"cameras.":[80],"Spiking":[81],"(SNNs)":[84],"are":[85],"new":[87],"generation":[88],"event-driven":[90],"encode":[94],"information":[95],"via":[96],"discrete":[97],"spikes,":[98],"leads":[100],"to":[101,118,187,210,222],"greater":[102],"computational":[103],"efficiency.":[104],"Previous":[105],"SNNs":[109],"overlooked":[110],"streams,":[116],"leading":[117],"reconstructions":[119,247],"suffer":[121],"artifacts,":[123],"flickering,":[124],"contrast,":[126],"etc.":[127],"In":[128,173],"this":[129],"work,":[130],"we":[131,175,204],"spiking":[136,151],"neurons":[137],"explain":[139],"poor":[140],"quality.":[142],"We":[143],"specifically":[144],"propose":[145,176],"novel":[147],"spatial-temporal":[148],"heterogeneous":[149],"(STH)":[150],"neuron":[152,161,201],"suitable":[153],"for":[154],"The":[159,216,238],"STH":[160],"adjusts":[162],"membrane":[164],"decay":[165],"coefficient":[166],"adaptively":[167],"has":[169],"better":[170,252],"spatiotemporal":[171],"perception.":[172],"addition,":[174],"temporal-frequency":[178],"calibration":[179],"module":[180],"(TFCM)":[181],"Fourier":[185],"transform":[186],"improve":[188],"contrast":[190],"reconstructions.":[193],"On":[194],"basis":[196],"above":[199],"proposed":[200],"module,":[203],"construct":[205],"two":[206],"SNN-based":[207,271],"models,":[208,272],"referred":[209],"STHSNN":[213,265],"TFCSNN.":[215],"goal":[217],"former":[220],"reduce":[223],"artifacts":[225],"flickering":[227],"reconstructions,":[229],"whereas":[230],"latter":[232],"focuses":[233],"enhancing":[235],"contrast.":[237],"experimental":[239],"results":[240],"demonstrate":[241],"our":[243],"models":[244],"can":[245],"yield":[246],"various":[249],"scenarios,":[250],"achieving":[251],"quality":[253],"lower":[255],"consumption":[257,275],"than":[258],"previous":[259],"SNNs.":[260],"Specifically,":[261],"TFCSNN":[263],"achieve":[266],"top-2":[267],"performance":[268],"among":[269],"reductions":[276],"3.48":[278],"times":[279],"12.40":[281],"times,":[282],"respectively.":[283]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}