{"id":"https://openalex.org/W4365143729","doi":"https://doi.org/10.1145/3584954.3584996","title":"Translation and Scale Invariance for Event-Based Object tracking","display_name":"Translation and Scale Invariance for Event-Based Object tracking","publication_year":2023,"publication_date":"2023-04-11","ids":{"openalex":"https://openalex.org/W4365143729","doi":"https://doi.org/10.1145/3584954.3584996"},"language":"en","primary_location":{"id":"doi:10.1145/3584954.3584996","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3584954.3584996","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3584954.3584996","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neuro-Inspired Computational Elements Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3584954.3584996","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065046047","display_name":"Jens Egholm Pedersen","orcid":"https://orcid.org/0000-0001-6012-7415"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Jens Egholm Pedersen","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Sweden"],"raw_orcid":"https://orcid.org/0000-0001-6012-7415","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012359128","display_name":"Raghav Singhal","orcid":"https://orcid.org/0000-0002-2104-8068"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Raghav Singhal","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Sweden and Indian Institute of Technology, India"],"raw_orcid":"https://orcid.org/0000-0002-2104-8068","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Sweden and Indian Institute of Technology, India","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032405883","display_name":"J\u00f6rg Conradt","orcid":"https://orcid.org/0000-0001-5998-9640"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Jorg Conradt","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Sweden"],"raw_orcid":"https://orcid.org/0000-0001-5998-9640","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065046047"],"corresponding_institution_ids":["https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":0.2555,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50980249,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"79","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"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":1.0,"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":0.9983999729156494,"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":0.9922000169754028,"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/computer-science","display_name":"Computer science","score":0.8050453662872314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6161013841629028},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.612472653388977},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5517848134040833},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.49500077962875366},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47898244857788086},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.4419535994529724},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4245142638683319},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4241769313812256},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.4123445749282837},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33672136068344116},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09442228078842163}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8050453662872314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6161013841629028},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.612472653388977},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5517848134040833},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.49500077962875366},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47898244857788086},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.4419535994529724},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4245142638683319},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4241769313812256},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.4123445749282837},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33672136068344116},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09442228078842163},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"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/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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:10.1145/3584954.3584996","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3584954.3584996","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3584954.3584996","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neuro-Inspired Computational Elements Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3584954.3584996","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3584954.3584996","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3584954.3584996","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neuro-Inspired Computational Elements Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4530127105","display_name":null,"funder_award_id":"945539","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G6607577419","display_name":null,"funder_award_id":"785907","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G8558765157","display_name":null,"funder_award_id":"785907 and 945539","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320320943","display_name":"Danmarks Grundforskningsfond","ror":"https://ror.org/00znyv691"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4365143729.pdf","grobid_xml":"https://content.openalex.org/works/W4365143729.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1975501109","https://openalex.org/W2006370340","https://openalex.org/W2006487439","https://openalex.org/W2016574277","https://openalex.org/W2055781831","https://openalex.org/W2070304943","https://openalex.org/W2076661751","https://openalex.org/W2076964542","https://openalex.org/W2095725009","https://openalex.org/W2109200236","https://openalex.org/W2112796928","https://openalex.org/W2134557905","https://openalex.org/W2138787968","https://openalex.org/W2216124221","https://openalex.org/W2328877128","https://openalex.org/W2403865344","https://openalex.org/W2469278928","https://openalex.org/W2513853720","https://openalex.org/W2561675875","https://openalex.org/W2581251857","https://openalex.org/W2601530120","https://openalex.org/W2612649142","https://openalex.org/W2620474507","https://openalex.org/W2745933219","https://openalex.org/W2769320958","https://openalex.org/W2809335043","https://openalex.org/W2963037989","https://openalex.org/W2963510238","https://openalex.org/W3102087395","https://openalex.org/W3108410618","https://openalex.org/W3109158212","https://openalex.org/W3113691487","https://openalex.org/W3121439520","https://openalex.org/W3130607852","https://openalex.org/W3173029518","https://openalex.org/W4243569505"],"related_works":["https://openalex.org/W2767651786","https://openalex.org/W2912288872","https://openalex.org/W3111677651","https://openalex.org/W564581980","https://openalex.org/W3100731286","https://openalex.org/W3037245120","https://openalex.org/W4206673776","https://openalex.org/W2544283655","https://openalex.org/W2533072256","https://openalex.org/W3090951784"],"abstract_inverted_index":{"Without":[0],"temporal":[1,16,44],"averaging,":[2],"such":[3],"as":[4,109],"rate":[5],"codes,":[6],"it":[7],"remains":[8],"challenging":[9],"to":[10,27,125],"train":[11],"spiking":[12,38,119],"neural":[13,40,52],"networks":[14,53],"for":[15],"regression":[17],"tasks.":[18],"In":[19],"this":[20],"work,":[21],"we":[22,59,80,95],"present":[23],"a":[24,36,85],"novel":[25],"method":[26,47,99],"accurately":[28],"predict":[29],"spatial":[30],"coordinates":[31],"from":[32],"event":[33,107],"data":[34],"with":[35,50,76,89,105],"fully":[37,118],"convolutional":[39],"network":[41],"(SCNN)":[42],"without":[43],"averaging.":[45],"Our":[46,115],"performs":[48],"on-par":[49],"artificial":[51],"(ANN)":[54],"of":[55],"similar":[56],"complexity.":[57],"Additionally,":[58],"demonstrate":[60],"faster":[61],"convergence":[62],"in":[63,103,111],"half":[64],"the":[65],"time":[66],"using":[67],"translation-":[68],"and":[69,120],"scale-invariant":[70],"receptive":[71],"fields.":[72],"To":[73],"permit":[74],"comparison":[75],"conventional":[77],"frame-based":[78],"ANNs,":[79],"base":[81],"our":[82,98],"results":[83],"on":[84],"simulated":[86],"event-based":[87,113],"dataset":[88],"an":[90],"unrealistic":[91],"high":[92],"density.":[93],"Therefore,":[94],"hypothesize":[96],"that":[97],"significantly":[100],"outperform":[101],"ANNs":[102],"settings":[104],"lower":[106],"density,":[108],"seen":[110],"real-life":[112],"data.":[114],"model":[116],"is":[117],"can":[121],"be":[122],"ported":[123],"directly":[124],"neuromorphic":[126],"hardware.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
