{"id":"https://openalex.org/W4312425969","doi":"https://doi.org/10.1109/tpami.2022.3227448","title":"Learning to See Through With Events","display_name":"Learning to See Through With Events","publication_year":2022,"publication_date":"2022-12-07","ids":{"openalex":"https://openalex.org/W4312425969","doi":"https://doi.org/10.1109/tpami.2022.3227448","pmid":"https://pubmed.ncbi.nlm.nih.gov/37015491"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2022.3227448","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3227448","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100736935","display_name":"Lei Yu","orcid":"https://orcid.org/0000-0002-7329-4631"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Yu","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100368916","display_name":"Xiang Zhang","orcid":"https://orcid.org/0000-0003-2004-5794"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Zhang","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042897236","display_name":"Wei Liao","orcid":"https://orcid.org/0000-0002-8828-011X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liao","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069540177","display_name":"Wen Yang","orcid":"https://orcid.org/0000-0002-3263-8768"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Yang","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073032922","display_name":"Gui-Song Xia","orcid":"https://orcid.org/0000-0001-7660-6090"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gui-Song Xia","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100736935"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":1.6507,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.8556116,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"45","issue":"7","first_page":"8660","last_page":"8678"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11897","display_name":"Digital Holography and Microscopy","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11996","display_name":"Random lasers and scattering media","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/3102","display_name":"Acoustics and Ultrasonics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7721763253211975},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.7608129382133484},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6636614799499512},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6144755482673645},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6028443574905396},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.5305840373039246},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.525414228439331},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4612051844596863},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4537222683429718},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4352087080478668},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.43504393100738525},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3528909981250763},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.10961142182350159},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08372166752815247},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07652491331100464}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7721763253211975},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.7608129382133484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6636614799499512},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6144755482673645},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6028443574905396},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.5305840373039246},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.525414228439331},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4612051844596863},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4537222683429718},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4352087080478668},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.43504393100738525},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3528909981250763},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.10961142182350159},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08372166752815247},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07652491331100464},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2022.3227448","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3227448","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:37015491","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37015491","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":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6499999761581421}],"awards":[{"id":"https://openalex.org/G2969037162","display_name":null,"funder_award_id":"61922065","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G348483345","display_name":null,"funder_award_id":"41820104006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4101117740","display_name":null,"funder_award_id":"2021CFB467","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G4493179999","display_name":null,"funder_award_id":"62271354","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4511722211","display_name":null,"funder_award_id":"61871299","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7830843176","display_name":null,"funder_award_id":"61871297","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/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1580389772","https://openalex.org/W1599105596","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1915485278","https://openalex.org/W1976486353","https://openalex.org/W2004360097","https://openalex.org/W2006370340","https://openalex.org/W2016574277","https://openalex.org/W2033819227","https://openalex.org/W2072420336","https://openalex.org/W2098918212","https://openalex.org/W2108467139","https://openalex.org/W2108687567","https://openalex.org/W2113642013","https://openalex.org/W2117539524","https://openalex.org/W2136733503","https://openalex.org/W2471014506","https://openalex.org/W2472115300","https://openalex.org/W2519559998","https://openalex.org/W2528330729","https://openalex.org/W2562066862","https://openalex.org/W2621826044","https://openalex.org/W2626539870","https://openalex.org/W2753630964","https://openalex.org/W2767800299","https://openalex.org/W2783185291","https://openalex.org/W2796368857","https://openalex.org/W2892077605","https://openalex.org/W2901157565","https://openalex.org/W2913403229","https://openalex.org/W2938463073","https://openalex.org/W2950689937","https://openalex.org/W2962785568","https://openalex.org/W2962793481","https://openalex.org/W2964132169","https://openalex.org/W2964160927","https://openalex.org/W2964615694","https://openalex.org/W2967293965","https://openalex.org/W2969508737","https://openalex.org/W2969884493","https://openalex.org/W2982688540","https://openalex.org/W2998281665","https://openalex.org/W3000449200","https://openalex.org/W3009652626","https://openalex.org/W3038819247","https://openalex.org/W3040838455","https://openalex.org/W3092083701","https://openalex.org/W3097400035","https://openalex.org/W3097980825","https://openalex.org/W3101923070","https://openalex.org/W3110052477","https://openalex.org/W3118564668","https://openalex.org/W3173494255","https://openalex.org/W3174491972","https://openalex.org/W4244705922","https://openalex.org/W4287126156","https://openalex.org/W4312463210","https://openalex.org/W6618372016","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6726497184","https://openalex.org/W6840495885"],"related_works":["https://openalex.org/W2116677773","https://openalex.org/W2155261584","https://openalex.org/W2584231425","https://openalex.org/W2150611273","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Although":[0],"synthetic":[1],"aperture":[2],"imaging":[3],"(SAI)":[4],"can":[5,131],"achieve":[6,132],"the":[7,38,51,68,107,111,120],"seeing-through":[8],"effect":[9],"by":[10,29,48,63,74],"blurring":[11],"out":[12,84],"off-focus":[13,85],"foreground":[14],"occlusions":[15,31,140],"while":[16,82],"recovering":[17],"in-focus":[18,80],"occluded":[19,121],"scenes":[20],"from":[21,110,149],"multi-view":[22],"images,":[23],"its":[24],"performance":[25,134],"is":[26,103],"often":[27],"deteriorated":[28],"dense":[30,139],"and":[32,58,98,114,141,145,153],"extreme":[33,142],"lighting":[34,143],"conditions.":[35],"To":[36],"address":[37],"problem,":[39],"this":[40],"paper":[41],"presents":[42],"an":[43,64],"Event-based":[44],"SAI":[45],"(E-SAI)":[46],"method":[47,130],"relying":[49],"on":[50],"asynchronous":[52],"events":[53,70,81,113],"with":[54,137],"extremely":[55],"low":[56],"latency":[57],"high":[59],"dynamic":[60],"range":[61],"acquired":[62],"event":[65],"camera.":[66],"Specifically,":[67],"collected":[69],"are":[71,155],"first":[72],"refocused":[73,112],"a":[75,89,116],"Refocus-Net":[76],"module":[77],"to":[78,105],"align":[79],"scattering":[83],"ones.":[86],"Following":[87],"that,":[88],"hybrid":[90],"network":[91],"composed":[92],"of":[93,119],"spiking":[94],"neural":[95,100],"networks":[96,101],"(SNNs)":[97],"convolutional":[99],"(CNNs)":[102],"proposed":[104,128],"encode":[106],"spatio-temporal":[108],"information":[109],"reconstruct":[115],"visual":[117],"image":[118],"targets.":[122],"Extensive":[123],"experiments":[124],"demonstrate":[125],"that":[126],"our":[127],"E-SAI":[129],"remarkable":[133],"in":[135],"dealing":[136],"very":[138],"conditions":[144],"produce":[146],"high-quality":[147],"images":[148],"pure":[150],"events.":[151],"Codes":[152],"datasets":[154],"available":[156],"at":[157],"https://dvs-whu.cn/projects/esai/.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}