{"id":"https://openalex.org/W4409363489","doi":"https://doi.org/10.1609/aaai.v39i19.34212","title":"Efficient 3D Recognition with Event-driven Spike Sparse Convolution","display_name":"Efficient 3D Recognition with Event-driven Spike Sparse Convolution","publication_year":2025,"publication_date":"2025-04-11","ids":{"openalex":"https://openalex.org/W4409363489","doi":"https://doi.org/10.1609/aaai.v39i19.34212"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v39i19.34212","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v39i19.34212","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/34212/36367","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/34212/36367","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115598794","display_name":"Xuerui Qiu","orcid":"https://orcid.org/0009-0008-3734-4671"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuerui Qiu","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences\nSchool of Future Technology, University of Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences\nSchool of Future Technology, University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042444336","display_name":"Man Yao","orcid":"https://orcid.org/0000-0002-0904-8524"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Man Yao","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050228445","display_name":"Jieyuan Zhang","orcid":"https://orcid.org/0000-0001-6635-4117"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jieyuan Zhang","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113151651","display_name":"Yuhong Chou","orcid":null},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Yuhong Chou","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences\nThe Hong Kong Polytechnic University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences\nThe Hong Kong Polytechnic University","institution_ids":["https://openalex.org/I14243506","https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101732845","display_name":"Ning Qiao","orcid":"https://orcid.org/0000-0003-0264-5622"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ning Qiao","raw_affiliation_strings":["SynSense AG Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SynSense AG Corporation","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102188051","display_name":"Shibo Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I2802212502","display_name":"TiGenix (Spain)","ror":"https://ror.org/0202k4b21","country_code":"ES","type":"company","lineage":["https://openalex.org/I2802212502"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Shibo Zhou","raw_affiliation_strings":["Huinao Zhixin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huinao Zhixin","institution_ids":["https://openalex.org/I2802212502"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057362939","display_name":"Bo Xu","orcid":"https://orcid.org/0000-0001-6629-9744"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Xu","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018970859","display_name":"Guoqi Li","orcid":"https://orcid.org/0000-0002-8994-431X"},"institutions":[{"id":"https://openalex.org/I4210097554","display_name":"Center for Excellence in Brain Science and Intelligence Technology","ror":"https://ror.org/00vpwhm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqi Li","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences\nPeng Cheng Laboratory\nInstitute of Automation, Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences\nPeng Cheng Laboratory\nInstitute of Automation, Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210097554","https://openalex.org/I4210112150"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2571,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75794621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"39","issue":"19","first_page":"20086","last_page":"20094"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9764999747276306,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9764999747276306,"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":0.9740999937057495,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9638000130653381,"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/spike","display_name":"Spike (software development)","score":0.8067452907562256},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6687862277030945},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.593893826007843},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5265733599662781},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.500648021697998},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48911648988723755},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3430057168006897},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11080342531204224},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.06314751505851746}],"concepts":[{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.8067452907562256},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6687862277030945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.593893826007843},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5265733599662781},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.500648021697998},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48911648988723755},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3430057168006897},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11080342531204224},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.06314751505851746},{"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/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v39i19.34212","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v39i19.34212","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/34212/36367","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/34212","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/34212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1609/aaai.v39i19.34212","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v39i19.34212","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/34212/36367","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1217068664","display_name":null,"funder_award_id":"62441606","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G124397460","display_name":null,"funder_award_id":"62236009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4420291536","display_name":null,"funder_award_id":"2023YFF1204200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6457463589","display_name":null,"funder_award_id":"62325603","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6683772492","display_name":null,"funder_award_id":"U22A20103","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409363489.pdf","grobid_xml":"https://content.openalex.org/works/W4409363489.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2174331923","https://openalex.org/W2050175337","https://openalex.org/W4408447381","https://openalex.org/W2073681303","https://openalex.org/W2329992713","https://openalex.org/W3050304047","https://openalex.org/W2317338006","https://openalex.org/W2385487847","https://openalex.org/W2062974934"],"abstract_inverted_index":{"Spiking":[0],"Neural":[1],"Networks":[2],"(SNNs)":[3],"provide":[4],"an":[5,115,213],"energy-efficient":[6],"way":[7],"to":[8,34,49,140],"extract":[9],"3D":[10,17,72,104,117,195,203],"spatio-temporal":[11],"features.":[12,108],"Point":[13],"clouds":[14,74],"are":[15],"sparse":[16,77,105],"spatial":[18],"data,":[19],"which":[20,69,121],"suggests":[21],"that":[22,157,198],"SNNs":[23,33],"should":[24],"be":[25,131],"well-suited":[26],"for":[27,101],"processing":[28],"them.":[29],"However,":[30],"when":[31],"applying":[32],"point":[35,73,89,106],"clouds,":[36],"they":[37],"often":[38],"exhibit":[39],"limited":[40],"performance":[41],"and":[42,52,85,111,152,210],"fewer":[43],"application":[44],"scenarios.":[45],"We":[46],"attribute":[47],"this":[48,58],"inappropriate":[50],"preprocessing":[51],"feature":[53],"extraction":[54],"methods.":[55],"To":[56,185],"address":[57],"issue,":[59],"we":[60,93,113],"first":[61,192],"introduce":[62],"the":[63,71,82,141,177,191],"Spike":[64,96],"Voxel":[65],"Coding":[66],"(SVC)":[67],"scheme,":[68],"encodes":[70],"into":[75],"a":[76,95],"spike":[78,146],"train":[79],"space,":[80],"reducing":[81],"storage":[83],"requirements":[84],"saving":[86],"time":[87],"on":[88,133,149,174],"cloud":[90,107],"preprocessing.":[91],"Then,":[92],"propose":[94],"Sparse":[97],"Convolution":[98],"(SSC)":[99],"model":[100],"efficiently":[102],"extracting":[103],"Combining":[109],"SVC":[110],"SSC,":[112],"design":[114],"efficient":[116],"SNN":[118,180,196],"backbone":[119,197],"(E-3DSNN),":[120],"is":[122,190],"friendly":[123],"with":[124,136,163,212],"neuromorphic":[125,134],"hardware.":[126],"For":[127],"instance,":[128],"SSC":[129],"can":[130,199],"implemented":[132],"chips":[135],"only":[137],"minor":[138],"modifications":[139],"addressing":[142],"function":[143],"of":[144],"vanilla":[145],"convolution.":[147],"Experiments":[148],"ModelNet40,":[150,175],"KITTI,":[151],"Semantic":[153],"KITTI":[154],"datasets":[155],"demonstrate":[156],"E-3DSNN":[158,168],"achieves":[159],"state-of-the-art":[160],"(SOTA)":[161],"results":[162],"remarkable":[164],"efficiency.":[165],"Notably,":[166],"our":[167,186],"(1.87M)":[169],"obtained":[170],"91.7%":[171],"top-1":[172],"accuracy":[173],"surpassing":[176],"current":[178],"best":[179,187],"baselines":[181],"(14.3M)":[182],"by":[183],"3.0%.":[184],"knowledge,":[188],"it":[189],"direct":[193],"training":[194],"simultaneously":[200],"handle":[201],"various":[202],"computer":[204],"vision":[205],"tasks":[206],"(e.g.,":[207],"classification,":[208],"detection,":[209],"segmentation)":[211],"event-driven":[214],"nature.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}