{"id":"https://openalex.org/W7162484546","doi":"https://doi.org/10.1109/3dv69130.2026.00035","title":"VibES: Induced Vibration for Persistent Event-Based Sensing","display_name":"VibES: Induced Vibration for Persistent Event-Based Sensing","publication_year":2026,"publication_date":"2026-03-20","ids":{"openalex":"https://openalex.org/W7162484546","doi":"https://doi.org/10.1109/3dv69130.2026.00035"},"language":null,"primary_location":{"id":"doi:10.1109/3dv69130.2026.00035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv69130.2026.00035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on 3D Vision (3DV)","raw_type":"proceedings-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/A5137130803","display_name":"Vincenzo Polizzi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116723","display_name":"Robotics Research (United States)","ror":"https://ror.org/020w2fr77","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116723"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vincenzo Polizzi","raw_affiliation_strings":["University of Toronto, Robotics Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto, Robotics Institute","institution_ids":["https://openalex.org/I4210116723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137180962","display_name":"Stephen Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116723","display_name":"Robotics Research (United States)","ror":"https://ror.org/020w2fr77","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116723"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen Yang","raw_affiliation_strings":["University of Toronto, Robotics Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto, Robotics Institute","institution_ids":["https://openalex.org/I4210116723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137153959","display_name":"Quentin Clark","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Quentin Clark","raw_affiliation_strings":["University of Toronto,Department of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto,Department of Computer Science","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137161825","display_name":"Jonathan Kelly","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116723","display_name":"Robotics Research (United States)","ror":"https://ror.org/020w2fr77","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116723"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan Kelly","raw_affiliation_strings":["University of Toronto, Robotics Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto, Robotics Institute","institution_ids":["https://openalex.org/I4210116723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137169162","display_name":"Igor Gilitschenski","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Igor Gilitschenski","raw_affiliation_strings":["University of Toronto,Department of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto,Department of Computer Science","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004550709","display_name":"David B. Lindell","orcid":"https://orcid.org/0000-0002-6999-3958"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"David B. Lindell","raw_affiliation_strings":["University of Toronto,Department of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto,Department of Computer Science","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.80049641,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.09000000357627869,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.09000000357627869,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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":0.07010000199079514,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.05469999834895134,"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/vibration","display_name":"Vibration","score":0.4618000090122223},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.3215999901294708},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.2467000037431717},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.23399999737739563}],"concepts":[{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.4618000090122223},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.4275999963283539},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.3806000053882599},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3215999901294708},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.26429998874664307},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.25110000371932983},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.2467000037431717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.24150000512599945},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.23399999737739563},{"id":"https://openalex.org/C2780799671","wikidata":"https://www.wikidata.org/wiki/Q17087362","display_name":"Transient (computer programming)","level":2,"score":0.22679999470710754}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/3dv69130.2026.00035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv69130.2026.00035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on 3D Vision (3DV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.5453989505767822}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1995875735","https://openalex.org/W2015413450","https://openalex.org/W2037320310","https://openalex.org/W2039367092","https://openalex.org/W2047839530","https://openalex.org/W2102166818","https://openalex.org/W2528596085","https://openalex.org/W2775178320","https://openalex.org/W2783185291","https://openalex.org/W2796368857","https://openalex.org/W2800188220","https://openalex.org/W2886009882","https://openalex.org/W2938463073","https://openalex.org/W2962804204","https://openalex.org/W2969508737","https://openalex.org/W2970672284","https://openalex.org/W2973391561","https://openalex.org/W2998281665","https://openalex.org/W3011872506","https://openalex.org/W3013427177","https://openalex.org/W3035212231","https://openalex.org/W3040838455","https://openalex.org/W3183448988","https://openalex.org/W3186542190","https://openalex.org/W4293731929","https://openalex.org/W4313046728","https://openalex.org/W4320920920","https://openalex.org/W4375862052","https://openalex.org/W4386076324","https://openalex.org/W4394564209","https://openalex.org/W4399118285","https://openalex.org/W4399121711","https://openalex.org/W4402446173","https://openalex.org/W4402704592","https://openalex.org/W4402753473","https://openalex.org/W4410632802","https://openalex.org/W4411245317","https://openalex.org/W4411536301","https://openalex.org/W4413146900","https://openalex.org/W7123347203"],"related_works":[],"abstract_inverted_index":{"Event":[0],"cameras":[1,26],"are":[2,27],"a":[3,65,75,89,108],"bio-inspired":[4],"class":[5],"of":[6],"sensors":[7],"that":[8,92],"asynchronously":[9],"measure":[10],"per-pixel":[11],"intensity":[12],"changes.":[13],"Under":[14],"fixed":[15],"illumination":[16],"conditions":[17],"in":[18],"static":[19],"or":[20,57],"low-motion":[21],"scenes,":[22],"rigidly":[23],"mounted":[24],"event":[25,50,71],"unable":[28],"to":[29,68,80,111,136],"generate":[30],"any":[31],"events":[32,101],"and":[33,97,115,127,132],"become":[34],"unsuitable":[35],"for":[36,102],"most":[37],"computer":[38],"vision":[39],"tasks.":[40,105],"To":[41],"address":[42],"this":[43],"limitation,":[44],"recent":[45],"work":[46],"has":[47],"investigated":[48],"motion-induced":[49],"stimulation,":[51],"which":[52],"often":[53],"requires":[54],"complex":[55],"hardware":[56,109],"additional":[58],"optical":[59],"components.":[60],"In":[61],"contrast,":[62],"we":[63],"introduce":[64],"lightweight":[66],"approach":[67,114],"sustain":[69],"persistent":[70],"generation":[72],"by":[73],"employing":[74],"simple":[76],"rotating":[77],"unbalanced":[78],"mass":[79],"induce":[81],"periodic":[82],"vibrational":[83],"motion.":[84],"This":[85],"is":[86],"combined":[87],"with":[88],"motion-compensation":[90],"pipeline":[91],"removes":[93],"the":[94],"injected":[95],"motion":[96,125,140],"yields":[98],"clean,":[99],"motioncorrected":[100],"downstream":[103],"perception":[104],"We":[106],"develop":[107],"prototype":[110],"demonstrate":[112],"our":[113],"evaluate":[116],"it":[117],"on":[118],"real-world":[119],"datasets.":[120],"Our":[121],"method":[122],"reliably":[123],"recovers":[124],"parameters":[126],"improves":[128],"both":[129],"image":[130],"reconstruction":[131],"edge":[133],"detection":[134],"compared":[135],"event-based":[137],"sensing":[138],"without":[139],"induction.":[141]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-28T00:00:00"}