{"id":"https://openalex.org/W3028094424","doi":"https://doi.org/10.1109/lra.2020.2995332","title":"Efficient Spatial-Temporal Normalization of SAE Representation for Event Camera","display_name":"Efficient Spatial-Temporal Normalization of SAE Representation for Event Camera","publication_year":2020,"publication_date":"2020-05-18","ids":{"openalex":"https://openalex.org/W3028094424","doi":"https://doi.org/10.1109/lra.2020.2995332","mag":"3028094424"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2020.2995332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2020.2995332","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"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 Robotics and Automation Letters","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/A5071151467","display_name":"Shijie Lin","orcid":"https://orcid.org/0000-0003-0916-5699"},"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":"Shijie Lin","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, China","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"]},{"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/A5065162054","display_name":"Fang Xu","orcid":"https://orcid.org/0000-0003-4260-7911"},"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":"Fang Xu","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, China","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"]},{"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/A5090162303","display_name":"Xuhong Wang","orcid":"https://orcid.org/0000-0002-0944-8667"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuhong Wang","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China","Dept. of Automation, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Dept. of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069540177","display_name":"Wen Yang","orcid":"https://orcid.org/0000-0002-3263-8768"},"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":"Wen Yang","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, China","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"]},{"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","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"]},{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan , China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5071151467"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.6165,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.671623,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"5","issue":"3","first_page":"4265","last_page":"4272"},"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9922000169754028,"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/T13553","display_name":"Age of Information Optimization","score":0.9736999869346619,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/normalization","display_name":"Normalization (sociology)","score":0.7898773550987244},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7518775463104248},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6518430709838867},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5515072345733643},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.4694722890853882},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4550205171108246},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.45151567459106445},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.43563398718833923},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4232610762119293},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4019012153148651},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3415940999984741}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7898773550987244},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7518775463104248},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6518430709838867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5515072345733643},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.4694722890853882},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4550205171108246},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.45151567459106445},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.43563398718833923},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4232610762119293},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4019012153148651},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3415940999984741},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lra.2020.2995332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2020.2995332","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"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 Robotics and Automation Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G7830843176","display_name":null,"funder_award_id":"61871297","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W206948248","https://openalex.org/W1975697167","https://openalex.org/W1980178290","https://openalex.org/W2009797711","https://openalex.org/W2020096355","https://openalex.org/W2076661751","https://openalex.org/W2104561942","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2469278928","https://openalex.org/W2567239141","https://openalex.org/W2586523667","https://openalex.org/W2769144726","https://openalex.org/W2809335043","https://openalex.org/W2893826089","https://openalex.org/W2899771611","https://openalex.org/W2909535420","https://openalex.org/W2938463073","https://openalex.org/W2942896434","https://openalex.org/W2962804204","https://openalex.org/W2963510238","https://openalex.org/W2966174534","https://openalex.org/W3122190729","https://openalex.org/W4214867718","https://openalex.org/W4246219036","https://openalex.org/W6733074203","https://openalex.org/W6756040250"],"related_works":["https://openalex.org/W2468279273","https://openalex.org/W2354198838","https://openalex.org/W1989130879","https://openalex.org/W2103419012","https://openalex.org/W2988126442","https://openalex.org/W1974414866","https://openalex.org/W2063982682","https://openalex.org/W2953716828","https://openalex.org/W2904857019","https://openalex.org/W2944728705"],"abstract_inverted_index":{"Event-based":[0],"cameras":[1],"are":[2],"a":[3,15,49,103,131,169,188],"new":[4],"type":[5],"of":[6,39,43,124,139,155],"vision":[7],"sensor":[8],"that":[9],"can":[10,147],"encode":[11],"spatial-temporal":[12],"context":[13],"in":[14,95,115,126,191,205],"pixel-level":[16],"event":[17,45],"stream.":[18],"Its":[19],"appealing":[20],"properties":[21,123],"offer":[22],"great":[23],"potential":[24],"for":[25,52,200],"applications":[26],"requiring":[27,85],"low":[28,32,83],"processing":[29],"latency":[30],"and":[31,55,152,157,187,203],"power":[33],"consumption.":[34],"As":[35],"an":[36,65],"effective":[37],"representation":[38],"events,":[40],"the":[41,113,116,121,137,150,165,178,197,206],"surface":[42],"active":[44],"(SAE)":[46],"has":[47],"become":[48],"favorable":[50],"choice":[51],"corner":[53],"detection":[54],"object":[56],"classification,":[57],"among":[58],"others.":[59],"These":[60,89],"tasks":[61],"apply":[62],"normalizations":[63],"as":[64],"essential":[66],"preprocessing":[67],"step":[68],"to":[69,111,135,177],"extract":[70],"time-invariant":[71],"features":[72],"from":[73],"SAEs.":[74],"However,":[75],"previous":[76,117,143],"normalization":[77,106],"methods":[78],"have":[79],"some":[80],"drawbacks,":[81],"including":[82],"efficiency,":[84],"parameter":[86],"tuning,":[87],"etc.":[88],"drawbacks":[90],"largely":[91],"limit":[92],"their":[93],"performances":[94],"practical":[96],"tasks.":[97],"In":[98],"this":[99],"work,":[100],"we":[101,129,162],"propose":[102,130],"highly":[104],"efficient":[105],"method,":[107],"i.e.,":[108],"chain":[109],"normalization,":[110],"break":[112],"limits":[114],"state-of-the-art.":[118],"We":[119,173,194],"leverage":[120],"inherent":[122],"SAE":[125,133],"designing.":[127],"First,":[128],"novel":[132,170],"implementation":[134],"utilize":[136],"characteristics":[138],"SAE.":[140],"Compared":[141],"with":[142,180],"works,":[144],"our":[145,175],"method":[146,176],"efficiently":[148],"capture":[149],"spatial":[151],"temporal":[153],"relationships":[154],"events":[156],"enable":[158],"robust":[159],"normalization.":[160],"Second,":[161],"further":[163],"increase":[164],"efficiency":[166],"by":[167],"using":[168],"stacking":[171],"strategy.":[172],"compare":[174],"state-of-the-art":[179],"extensive":[181],"experiments,":[182],"showing":[183],"high":[184],"classification":[185],"accuracy":[186],"significant":[189],"improvement":[190,204],"runtime":[192],"performance.":[193],"also":[195],"release":[196],"source":[198],"codes":[199],"future":[201],"distribution":[202],"community.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}