{"id":"https://openalex.org/W3153096694","doi":"https://doi.org/10.1109/tcsvt.2021.3073673","title":"MVF-Net: A Multi-View Fusion Network for Event-Based Object Classification","display_name":"MVF-Net: A Multi-View Fusion Network for Event-Based Object Classification","publication_year":2021,"publication_date":"2021-04-16","ids":{"openalex":"https://openalex.org/W3153096694","doi":"https://doi.org/10.1109/tcsvt.2021.3073673","mag":"3153096694"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2021.3073673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3073673","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":"https://openalex.org/A5048895548","display_name":"Yongjian Deng","orcid":"https://orcid.org/0000-0001-6253-3564"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yongjian Deng","raw_affiliation_strings":["Department of Mechanical Engineering, City University of Hong Kong, Hong Kong, SAR"],"raw_orcid":"https://orcid.org/0000-0001-6253-3564","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, City University of Hong Kong, Hong Kong, SAR","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353537","display_name":"Hao Chen","orcid":"https://orcid.org/0000-0002-3138-505X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China","Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-3138-505X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100642147","display_name":"Youfu Li","orcid":"https://orcid.org/0000-0002-5227-1326"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Youfu Li","raw_affiliation_strings":["Department of Mechanical Engineering, City University of Hong Kong, Hong Kong, SAR"],"raw_orcid":"https://orcid.org/0000-0002-5227-1326","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, City University of Hong Kong, Hong Kong, SAR","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2918,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.92926,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":"32","issue":"12","first_page":"8275","last_page":"8284"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9990000128746033,"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":0.9990000128746033,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9740999937057495,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9516000151634216,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.8409821391105652},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6858267784118652},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6480953693389893},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6192589998245239},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.5133956670761108},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.47487255930900574},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45115506649017334},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.4464628994464874},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4336397051811218},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4250292479991913},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16133159399032593}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8409821391105652},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6858267784118652},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6480953693389893},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6192589998245239},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.5133956670761108},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.47487255930900574},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45115506649017334},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.4464628994464874},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4336397051811218},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4250292479991913},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16133159399032593},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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.2021.3073673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3073673","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":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.699999988079071}],"awards":[{"id":"https://openalex.org/G4323240151","display_name":null,"funder_award_id":"0022/2019/AKP","funder_id":"https://openalex.org/F4320321655","funder_display_name":"Science and Technology Development Fund"},{"id":"https://openalex.org/G4956830819","display_name":null,"funder_award_id":"61873220","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5612073755","display_name":null,"funder_award_id":"CityU 11213420","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"},{"id":"https://openalex.org/F4320321655","display_name":"Science and Technology Development Fund","ror":"https://ror.org/044vr6g03"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W104184427","https://openalex.org/W1522301498","https://openalex.org/W1644641054","https://openalex.org/W1686810756","https://openalex.org/W1967377294","https://openalex.org/W1974274374","https://openalex.org/W1975697167","https://openalex.org/W1980178290","https://openalex.org/W2006370340","https://openalex.org/W2016574277","https://openalex.org/W2020096355","https://openalex.org/W2065778157","https://openalex.org/W2092252351","https://openalex.org/W2108598243","https://openalex.org/W2165396124","https://openalex.org/W2194775991","https://openalex.org/W2344034899","https://openalex.org/W2469278928","https://openalex.org/W2526041356","https://openalex.org/W2563042993","https://openalex.org/W2563767618","https://openalex.org/W2567239141","https://openalex.org/W2612649142","https://openalex.org/W2619510810","https://openalex.org/W2737305288","https://openalex.org/W2745933219","https://openalex.org/W2752782242","https://openalex.org/W2761785940","https://openalex.org/W2766013930","https://openalex.org/W2788172931","https://openalex.org/W2796402180","https://openalex.org/W2797382244","https://openalex.org/W2884367402","https://openalex.org/W2909381593","https://openalex.org/W2913843253","https://openalex.org/W2938463073","https://openalex.org/W2951305674","https://openalex.org/W2962804204","https://openalex.org/W2962858109","https://openalex.org/W2963510238","https://openalex.org/W2963880930","https://openalex.org/W2970736947","https://openalex.org/W2971915722","https://openalex.org/W2979969178","https://openalex.org/W2981539886","https://openalex.org/W2986519121","https://openalex.org/W2987087879","https://openalex.org/W3010268791","https://openalex.org/W3019010861","https://openalex.org/W3035137671","https://openalex.org/W3035541121","https://openalex.org/W3048275157","https://openalex.org/W3049194477","https://openalex.org/W3087591564","https://openalex.org/W3090117981","https://openalex.org/W3097883549","https://openalex.org/W3102178346","https://openalex.org/W3106188738","https://openalex.org/W3122190729","https://openalex.org/W3150610812","https://openalex.org/W4214867718","https://openalex.org/W4226051885","https://openalex.org/W6604254268","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6729216784","https://openalex.org/W6810879400"],"related_works":["https://openalex.org/W2008630378","https://openalex.org/W2118717649","https://openalex.org/W1958015814","https://openalex.org/W2413243053","https://openalex.org/W410723623","https://openalex.org/W2015341305","https://openalex.org/W4225593417","https://openalex.org/W2035068594","https://openalex.org/W2059783833","https://openalex.org/W1549477351"],"abstract_inverted_index":{"Event-based":[0],"object":[1],"recognition":[2],"has":[3],"drawn":[4],"increasing":[5],"attention":[6,114],"for":[7,125,151],"event":[8,51,95,152],"cameras\u2019":[9],"distinguished":[10],"advantages":[11],"of":[12,135,146],"low":[13],"power":[14],"consumption":[15],"and":[16,35,70,108],"high":[17],"dynamic":[18],"range.":[19],"For":[20],"this":[21,80],"new":[22],"modality,":[23],"previous":[24],"works":[25,41],"based":[26],"on":[27],"customizing":[28],"low-level":[29],"descriptors":[30],"are":[31],"vulnerable":[32],"to":[33,43,49,59,67,99,103,118],"noise":[34],"with":[36,74],"limited":[37],"generalizability.":[38],"Although":[39],"recent":[40],"turn":[42],"design":[44],"various":[45],"deep":[46],"neural":[47],"networks":[48],"extract":[50],"features,":[52],"they":[53],"either":[54],"suffer":[55],"from":[56],"data":[57],"insufficiency":[58],"fully":[60],"train":[61],"the":[62,113,120,132,144],"event-based":[63],"model":[64,137],"or":[65],"fail":[66],"encode":[68],"spatial":[69],"temporal":[71],"cues":[72],"simultaneously":[73],"their":[75],"single":[76],"view":[77],"network.":[78],"In":[79],"work,":[81],"we":[82],"address":[83],"these":[84],"limitations":[85],"by":[86],"proposing":[87],"a":[88],"multi-view":[89,100,148],"attention-aware":[90],"network,":[91],"in":[92,122],"which":[93],"an":[94],"stream":[96],"is":[97,116],"projected":[98],"2D":[101,106],"maps":[102],"utilize":[104],"well-trained":[105],"models":[107],"explore":[109],"spatio-temporal":[110],"complements.":[111],"Besides,":[112],"mechanism":[115],"used":[117],"boost":[119],"complements":[121],"different":[123],"streams":[124],"better":[126],"joint":[127],"inference.":[128],"Comprehensive":[129],"experiments":[130],"show":[131],"large":[133],"superiority":[134],"our":[136,147],"over":[138],"state-of-the-art":[139],"methods":[140],"as":[141,143],"well":[142],"efficacy":[145],"fusion":[149],"framework":[150],"data.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-20T07:56:41.581041","created_date":"2025-10-10T00:00:00"}