{"id":"https://openalex.org/W2940407355","doi":"https://doi.org/10.1109/icassp.2019.8683606","title":"Neuromorphic Vision Sensing for CNN-based Action Recognition","display_name":"Neuromorphic Vision Sensing for CNN-based Action Recognition","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2940407355","doi":"https://doi.org/10.1109/icassp.2019.8683606","mag":"2940407355"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8683606","doi":"https://doi.org/10.1109/icassp.2019.8683606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8683606","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":"1520-6149","issn":["1520-6149","2379-190X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://discovery.ucl.ac.uk/10094129/1/Andreopoulos_nvs_distill_v3.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000944047","display_name":"Aaron Chadha","orcid":"https://orcid.org/0000-0002-6431-0855","observed_orcids":["https://orcid.org/0000-0002-6431-0855"]},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"A. Chadha","raw_affiliation_strings":["Dept. of Electronic & Electrical Engineering, University College London, London, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electronic & Electrical Engineering, University College London, London, U.K","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062162390","display_name":"Yin Bi","orcid":"https://orcid.org/0000-0002-3288-6761","observed_orcids":["https://orcid.org/0000-0002-3288-6761"]},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Y. Bi","raw_affiliation_strings":["Dept. of Electronic & Electrical Engineering, University College London, London, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electronic & Electrical Engineering, University College London, London, U.K","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083380516","display_name":"Alhabib Abbas","orcid":"https://orcid.org/0000-0002-1928-9823","observed_orcids":["https://orcid.org/0000-0002-1928-9823"]},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"A. Abbas","raw_affiliation_strings":["Dept. of Electronic & Electrical Engineering, University College London, London, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electronic & Electrical Engineering, University College London, London, U.K","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102755955","display_name":"Yiannis Andreopoulos","orcid":"https://orcid.org/0000-0002-2714-4800","observed_orcids":["https://orcid.org/0000-0002-2714-4800","https://orcid.org/0000-0002-9717-1855"]},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Y. Andreopoulos","raw_affiliation_strings":["Dept. of Electronic & Electrical Engineering, University College London, London, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electronic & Electrical Engineering, University College London, London, U.K","institution_ids":["https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I45129253"],"apc_list":null,"apc_paid":null,"fwci":1.4549,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.88618966,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"7968","last_page":"7972"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.6104000210762024,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.6104000210762024,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.16169999539852142,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.0406000018119812,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/human-action-recognition","display_name":"human action recognition","score":0.968999981880188},{"id":"https://openalex.org/keywords/optical-flow","display_name":"optical flow","score":0.847000002861023},{"id":"https://openalex.org/keywords/heterogeneous-transfer-learning","display_name":"heterogeneous transfer learning","score":0.7250000238418579},{"id":"https://openalex.org/keywords/motion-vectors","display_name":"motion vectors","score":0.718999981880188},{"id":"https://openalex.org/keywords/ucf101","display_name":"UCF101","score":0.9440000057220459}],"concepts":[{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.902549147605896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8268270492553711},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.6925195455551147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.643695056438446},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5450522899627686},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5309808850288391},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.4679136872291565},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4128879904747009},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18488118052482605},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1392306685447693},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2019.8683606","doi":"https://doi.org/10.1109/icassp.2019.8683606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8683606","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":"1520-6149","issn":["1520-6149","2379-190X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10094129","doi":null,"is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10094129/","pdf_url":"https://discovery.ucl.ac.uk/10094129/1/Andreopoulos_nvs_distill_v3.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"In: Proceedings of ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). (pp. pp. 7968-7972). IEEE: Brighton, UK. (2019)","raw_type":"Proceedings paper"}],"best_oa_location":{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10094129","doi":null,"is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10094129/","pdf_url":"https://discovery.ucl.ac.uk/10094129/1/Andreopoulos_nvs_distill_v3.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"In: Proceedings of ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). (pp. pp. 7968-7972). IEEE: Brighton, UK. (2019)","raw_type":"Proceedings paper"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G3791109787","display_name":"Deep Learning from Crawled Spatio-Temporal Representations of Video (DECSTER)","funder_award_id":"EP/R025290/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6250100084","display_name":"The Internet of Silicon Retinas (IoSiRe): Machine to machine communications for neuromorphic vision sensing data","funder_award_id":"EP/P02243X/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2940407355.pdf","grobid_xml":"https://content.openalex.org/works/W2940407355.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W206948248","https://openalex.org/W946256365","https://openalex.org/W1522734439","https://openalex.org/W1821462560","https://openalex.org/W1867429401","https://openalex.org/W1975697167","https://openalex.org/W2126579184","https://openalex.org/W2144187604","https://openalex.org/W2156303437","https://openalex.org/W2342662179","https://openalex.org/W2342776425","https://openalex.org/W2473225499","https://openalex.org/W2507540959","https://openalex.org/W2553594924","https://openalex.org/W2586307223","https://openalex.org/W2587802086","https://openalex.org/W2608988379","https://openalex.org/W2619082050","https://openalex.org/W2745519816","https://openalex.org/W2755006634","https://openalex.org/W2919115771","https://openalex.org/W2953084276","https://openalex.org/W2963370182","https://openalex.org/W4245112217","https://openalex.org/W6600983433","https://openalex.org/W7030288329"],"related_works":["https://openalex.org/W3172961237","https://openalex.org/W4214877155","https://openalex.org/W2979969178","https://openalex.org/W6947911215","https://openalex.org/W2899881262","https://openalex.org/W3011917930","https://openalex.org/W2800087794","https://openalex.org/W2922865460","https://openalex.org/W2981539886","https://openalex.org/W3144411871"],"abstract_inverted_index":{"Neuromorphic":[0],"vision":[1],"sensing":[2,13,23],"(NVS)":[3],"hardware":[4,140],"is":[5,40,98,165],"now":[6],"gaining":[7],"traction":[8],"as":[9,51],"a":[10,78],"low-power/high-speed":[11],"visual":[12],"technology":[14],"that":[15,58,83],"circumvents":[16],"the":[17,101,105,134,169],"limitations":[18],"of":[19,95,128,146],"conventional":[20],"active":[21],"pixel":[22],"(APS)":[24],"cameras.":[25],"While":[26],"object":[27],"detection":[28],"and":[29,137],"tracking":[30],"models":[31],"have":[32,168],"been":[33],"investigated":[34],"in":[35],"conjunction":[36],"with":[37,130,133,187],"NVS,":[38],"there":[39],"currently":[41],"little":[42],"work":[43,57],"on":[44,124],"NVS":[45,75,135,138],"for":[46,104],"higher-level":[47],"semantic":[48],"tasks,":[49],"such":[50],"action":[52,113],"recognition.":[53],"Contrary":[54],"to":[55,67,72,91,116,143,153,167,179,185],"recent":[56],"considers":[59],"homogeneous":[60],"transfer":[61,80,87],"between":[62],"flow":[63,66,90],"domains":[64],"(optical":[65],"motion":[68],"vectors),":[69],"we":[70],"propose":[71],"embed":[73],"an":[74],"emulator":[76,136],"into":[77],"multi-modal":[79],"learning":[81],"framework":[82,97],"carries":[84],"out":[85],"heterogeneous":[86],"from":[88],"optical":[89,131,156,188],"NVS.":[92],"The":[93],"potential":[94],"our":[96,108,162],"showcased":[99],"by":[100],"fact":[102],"that,":[103],"first":[106],"time,":[107],"NVS-based":[109],"results":[110],"achieve":[111],"comparable":[112],"recognition":[114],"performance":[115],"motion-vector":[117],"or":[118],"optical-flow":[119],"based":[120],"methods":[121,177],"(i.e.,":[122],"accuracy":[123],"UCF-101":[125],"within":[126],"8.8%":[127],"I3D":[129,186],"flow),":[132],"camera":[139],"offering":[141],"3":[142],"6":[144],"orders":[145],"magnitude":[147],"faster":[148],"frame":[149],"generation":[150],"(respectively)":[151],"compared":[152,184],"standard":[154],"Brox":[155],"flow.":[157],"Beyond":[158],"this":[159],"significant":[160],"advantage,":[161],"CNN":[163],"processing":[164],"found":[166],"lowest":[170],"total":[171],"GFLOP":[172],"count":[173],"against":[174],"all":[175],"competing":[176],"(up":[178],"7.7":[180],"times":[181],"complexity":[182],"saving":[183],"flow).":[189]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":6}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2019-04-25T00:00:00"}
