{"id":"https://openalex.org/W4404914866","doi":"https://doi.org/10.1109/tpami.2024.3510627","title":"Self-Supervised High-Order Information Bottleneck Learning of Spiking Neural Network for Robust Event-Based Optical Flow Estimation","display_name":"Self-Supervised High-Order Information Bottleneck Learning of Spiking Neural Network for Robust Event-Based Optical Flow Estimation","publication_year":2024,"publication_date":"2024-12-02","ids":{"openalex":"https://openalex.org/W4404914866","doi":"https://doi.org/10.1109/tpami.2024.3510627","pmid":"https://pubmed.ncbi.nlm.nih.gov/40030563"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2024.3510627","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3510627","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10261/402210","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065854845","display_name":"Shuangming Yang","orcid":"https://orcid.org/0000-0002-8044-0860"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuangming Yang","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-8044-0860","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025922642","display_name":"B. Linares-Barranco","orcid":"https://orcid.org/0000-0002-1813-4889"},"institutions":[{"id":"https://openalex.org/I4210104545","display_name":"Instituto de Microelectr\u00f3nica de Sevilla","ror":"https://ror.org/01mqtzm43","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210104545","https://openalex.org/I4210147934","https://openalex.org/I79238269"]},{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Bernab\u00e9 Linares-Barranco","raw_affiliation_strings":["Instituto de Microelectr&#x00F3;nica de Sevilla (CSIC and Universidad de Sevilla), Sevilla, Spain","National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0002-1813-4889","affiliations":[{"raw_affiliation_string":"Instituto de Microelectr&#x00F3;nica de Sevilla (CSIC and Universidad de Sevilla), Sevilla, Spain","institution_ids":["https://openalex.org/I4210104545","https://openalex.org/I79238269"]},{"raw_affiliation_string":"National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100584193","display_name":"Yuzhu Wu","orcid":"https://orcid.org/0000-0002-1769-4657"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuzhu Wu","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077852542","display_name":"Badong Chen","orcid":"https://orcid.org/0000-0003-1710-3818"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Badong Chen","raw_affiliation_strings":["National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0003-1710-3818","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2495,"currency":"USD","value_usd":2495},"apc_paid":null,"fwci":23.6976,"has_fulltext":false,"cited_by_count":103,"citation_normalized_percentile":{"value":0.99675367,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"47","issue":"4","first_page":"2280","last_page":"2297"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9952999949455261,"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"}},"topics":[{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9952999949455261,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.98089998960495,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9448999762535095,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7471660375595093},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.676560640335083},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.644953727722168},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.602735161781311},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5816560983657837},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5812578201293945},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.4394029378890991},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.43237701058387756},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4105709493160248},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16464248299598694}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7471660375595093},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.676560640335083},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.644953727722168},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.602735161781311},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5816560983657837},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5812578201293945},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.4394029378890991},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.43237701058387756},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4105709493160248},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16464248299598694},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2024.3510627","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3510627","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:40030563","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40030563","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":"Journal Article"},{"id":"pmh:oai:digital.csic.es:10261/402210","is_oa":true,"landing_page_url":"http://hdl.handle.net/10261/402210","pdf_url":null,"source":{"id":"https://openalex.org/S4306400616","display_name":"DIGITAL.CSIC (Spanish National Research Council (CSIC))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I134820265","host_organization_name":"Consejo Superior de Investigaciones Cient\u00edficas","host_organization_lineage":["https://openalex.org/I134820265"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"http://purl.org/coar/resource_type/c_6501"}],"best_oa_location":{"id":"pmh:oai:digital.csic.es:10261/402210","is_oa":true,"landing_page_url":"http://hdl.handle.net/10261/402210","pdf_url":null,"source":{"id":"https://openalex.org/S4306400616","display_name":"DIGITAL.CSIC (Spanish National Research Council (CSIC))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I134820265","host_organization_name":"Consejo Superior de Investigaciones Cient\u00edficas","host_organization_lineage":["https://openalex.org/I134820265"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"http://purl.org/coar/resource_type/c_6501"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3833898155","display_name":null,"funder_award_id":"62088102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G407367914","display_name":null,"funder_award_id":"62376185","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5268817677","display_name":null,"funder_award_id":"U21A20485","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W53759226","https://openalex.org/W1508769776","https://openalex.org/W1570411240","https://openalex.org/W1604973310","https://openalex.org/W1999085092","https://openalex.org/W2016574277","https://openalex.org/W2099111195","https://openalex.org/W2119493399","https://openalex.org/W2194775991","https://openalex.org/W2513148968","https://openalex.org/W2513853720","https://openalex.org/W2565565355","https://openalex.org/W2567239141","https://openalex.org/W2620474507","https://openalex.org/W2775079417","https://openalex.org/W2783525259","https://openalex.org/W2785582094","https://openalex.org/W2788172931","https://openalex.org/W2789435382","https://openalex.org/W2796368857","https://openalex.org/W2883294120","https://openalex.org/W2892077605","https://openalex.org/W2904275768","https://openalex.org/W2963335874","https://openalex.org/W2964184826","https://openalex.org/W2968243907","https://openalex.org/W2984844508","https://openalex.org/W2989653627","https://openalex.org/W3006585499","https://openalex.org/W3022569182","https://openalex.org/W3037444677","https://openalex.org/W3039515597","https://openalex.org/W3040838455","https://openalex.org/W3080255456","https://openalex.org/W3092083701","https://openalex.org/W3109192943","https://openalex.org/W3120332801","https://openalex.org/W3124546450","https://openalex.org/W3138915575","https://openalex.org/W3139657805","https://openalex.org/W3177222833","https://openalex.org/W3187695010","https://openalex.org/W3217337493","https://openalex.org/W4200284923","https://openalex.org/W4206212670","https://openalex.org/W4285247025","https://openalex.org/W4285601398","https://openalex.org/W4291023040","https://openalex.org/W4295591660","https://openalex.org/W4303446337","https://openalex.org/W4309618925","https://openalex.org/W4313029475","https://openalex.org/W4319866562","https://openalex.org/W4376136446","https://openalex.org/W4383066328","https://openalex.org/W4385804730","https://openalex.org/W4392752752","https://openalex.org/W4394624419","https://openalex.org/W4403664683","https://openalex.org/W4404520526","https://openalex.org/W6631190155","https://openalex.org/W6685670348","https://openalex.org/W6689286705","https://openalex.org/W6729906282","https://openalex.org/W6746062806","https://openalex.org/W6749922295","https://openalex.org/W6757512965","https://openalex.org/W6759582030","https://openalex.org/W6796939779","https://openalex.org/W6840495885"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W2084856301","https://openalex.org/W2127970246","https://openalex.org/W2885125400","https://openalex.org/W1989889224","https://openalex.org/W4382618745","https://openalex.org/W1973775000","https://openalex.org/W2748922771","https://openalex.org/W1987128138","https://openalex.org/W2743976221"],"abstract_inverted_index":{"Event":[0],"cameras":[1],"form":[2],"a":[3,16,168],"fundamental":[4],"foundation":[5],"for":[6],"visual":[7],"perception":[8],"in":[9,28,44,55,82,114,151,222],"scenes":[10],"characterized":[11],"by":[12],"high":[13],"speed":[14],"and":[15,80,109,185,193,204,216,234,246,260,275],"wide":[17],"dynamic":[18],"range.":[19],"Although":[20],"deep":[21],"learning":[22,128,172,189],"techniques":[23],"have":[24,35],"achieved":[25],"remarkable":[26],"success":[27],"estimating":[29],"event-based":[30,141],"optical":[31,149,219],"flow,":[32],"existing":[33],"methods":[34],"not":[36],"adequately":[37],"addressed":[38],"the":[39,50,77,135,152,157,164,199,213,267,272],"significance":[40],"of":[41,52,94,148,154,159,167,201,218,228,238],"temporal":[42],"information":[43,60,64,136,170,187,196,203],"capturing":[45],"spatiotemporal":[46],"features.":[47],"Due":[48],"to":[49,70,106,197,242,266],"dynamics":[51],"spiking":[53],"neurons":[54],"SNNs,":[56],"which":[57,133],"preserve":[58],"important":[59],"while":[61,250],"forgetting":[62],"redundant":[63],"over":[65],"time,":[66],"they":[67],"are":[68],"expected":[69],"outperform":[71],"analog":[72],"neural":[73],"networks":[74],"(ANNs)":[75],"with":[76,183,271],"same":[78,273],"architecture":[79],"size":[81],"sequential":[83],"regression":[84],"tasks.":[85],"In":[86,226],"addition,":[87],"SNNs":[88],"on":[89,175],"neuromorphic":[90],"hardware":[91],"achieve":[92],"advantages":[93],"extremely":[95],"low":[96],"power":[97],"consumption.":[98],"However,":[99],"present":[100],"SNN":[101,248],"architectures":[102],"encounter":[103],"issues":[104],"related":[105],"limited":[107],"generalization":[108,214],"robustness":[110,217],"during":[111],"training,":[112],"particularly":[113],"noisy":[115],"scenes.":[116],"To":[117,156],"tackle":[118],"these":[119],"problems,":[120],"this":[121,162],"study":[122],"introduces":[123],"an":[124],"innovative":[125],"spike-based":[126,180],"self-supervised":[127,169,181],"algorithm":[129],"known":[130],"as":[131],"SeLHIB,":[132],"leverages":[134],"bottleneck":[137,171,188],"theory.":[138],"By":[139],"utilizing":[140],"camera":[142],"inputs,":[143],"SeLHIB":[144,210,231],"enables":[145],"robust":[146],"estimation":[147,221],"flow":[150,220],"presence":[153],"noise.":[155],"best":[158],"our":[160],"knowledge,":[161],"is":[163],"first":[165],"proposal":[166],"strategy":[173],"based":[174],"SNNs.":[176],"Furthermore,":[177],"we":[178],"develop":[179],"algorithms":[182],"nonlinear":[184,192],"high-order":[186,194],"that":[190,209],"employs":[191],"mutual":[195],"enhance":[198],"extraction":[200],"relevant":[202],"eliminate":[205],"redundancy.":[206],"We":[207],"demonstrate":[208],"significantly":[211],"enhances":[212],"ability":[215],"various":[223],"noise":[224],"conditions.":[225],"terms":[227],"energy":[229,239],"efficiency,":[230],"achieves":[232],"90.44%":[233],"45.70%":[235],"cut":[236],"down":[237],"consumption":[240],"compared":[241,265],"its":[243],"counterpart":[244,247,268],"ANN":[245,269],"models,":[249],"attaining":[251],"33.78%":[252],"lower":[253,257,262],"AEE":[254],"(MVSEC),":[255],"5.96%":[256],"RSAT":[258,263],"(ECD)":[259],"6.21%":[261],"(HQF)":[264],"implementations":[270],"sizes":[274],"architectures.":[276]},"counts_by_year":[{"year":2026,"cited_by_count":33},{"year":2025,"cited_by_count":70}],"updated_date":"2026-08-29T07:29:34.045763","created_date":"2025-10-10T00:00:00"}
