{"id":"https://openalex.org/W4403278203","doi":"https://doi.org/10.1109/tpami.2024.3469571","title":"EventHDR: From Event to High-Speed HDR Videos and Beyond","display_name":"EventHDR: From Event to High-Speed HDR Videos and Beyond","publication_year":2024,"publication_date":"2024-10-09","ids":{"openalex":"https://openalex.org/W4403278203","doi":"https://doi.org/10.1109/tpami.2024.3469571","pmid":"https://pubmed.ncbi.nlm.nih.gov/39383083"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2024.3469571","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3469571","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/A5031428683","display_name":"Yunhao Zou","orcid":"https://orcid.org/0000-0001-9034-2685"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhao Zou","raw_affiliation_strings":["MIIT Key Laboratory of Complex-Field Intelligent Sensing, Beijing Institute of Technology, Beijing, China","MIIT Key Laboratory of Complex-field Intelligent Sensing, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9034-2685","affiliations":[{"raw_affiliation_string":"MIIT Key Laboratory of Complex-Field Intelligent Sensing, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"MIIT Key Laboratory of Complex-field Intelligent Sensing, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100738025","display_name":"Ying Fu","orcid":"https://orcid.org/0000-0002-6677-694X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Fu","raw_affiliation_strings":["MIIT Key Laboratory of Complex-Field Intelligent Sensing, Beijing Institute of Technology, Beijing, China","MIIT Key Laboratory of Complex-field Intelligent Sensing, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6677-694X","affiliations":[{"raw_affiliation_string":"MIIT Key Laboratory of Complex-Field Intelligent Sensing, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"MIIT Key Laboratory of Complex-field Intelligent Sensing, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023660481","display_name":"Tsuyoshi Takatani","orcid":"https://orcid.org/0000-0002-7263-1931"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tsuyoshi Takatani","raw_affiliation_strings":["Institute of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan"],"raw_orcid":"https://orcid.org/0000-0002-7263-1931","affiliations":[{"raw_affiliation_string":"Institute of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100698163","display_name":"Yinqiang Zheng","orcid":"https://orcid.org/0000-0001-7434-5069"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yinqiang Zheng","raw_affiliation_strings":["Next Generation Artificial Intelligence Research Center, University of Tokyo, Tokyo, Japan","Next Generation Artificial Intelligence Research Center, The University of Tokyo, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0001-7434-5069","affiliations":[{"raw_affiliation_string":"Next Generation Artificial Intelligence Research Center, University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Next Generation Artificial Intelligence Research Center, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"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":2.7454,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.91852929,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"47","issue":"1","first_page":"32","last_page":"50"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9958999752998352,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9958999752998352,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9463000297546387,"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/T12941","display_name":"Embedded Systems and FPGA Design","score":0.9320999979972839,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.7021035552024841},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6869630813598633},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.637643575668335},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5070137977600098},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3476625680923462}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7021035552024841},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6869630813598633},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.637643575668335},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5070137977600098},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3476625680923462},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2024.3469571","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3469571","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:39383083","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39383083","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G2575069074","display_name":null,"funder_award_id":"62088101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6513703716","display_name":null,"funder_award_id":"62331006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6942642872","display_name":"\u9ad8\u89e3\u50cf\u5ea6\u30fb\u9ad8\u611f\u5ea6\u30fb\u9ad8\u901f\u5ea6\u30fb\u9ad8\u968e\u8abf\u3092\u5171\u7acb\u3059\u308b\u9769\u65b0\u7684\u306a\u753b\u50cf\u30bb\u30f3\u30b7\u30f3\u30b0\u57fa\u76e4\u306e\u5275\u51fa","funder_award_id":"24K22318","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8121227414","display_name":"Spatio-temporal modulation imaging toward measurements of shape and physical properties","funder_award_id":"23K20382","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8521839720","display_name":null,"funder_award_id":"62171038","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/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":89,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W2004360097","https://openalex.org/W2007207888","https://openalex.org/W2062171519","https://openalex.org/W2069281566","https://openalex.org/W2108467139","https://openalex.org/W2133665775","https://openalex.org/W2158201077","https://openalex.org/W2290632375","https://openalex.org/W2469278928","https://openalex.org/W2548527721","https://openalex.org/W2567239141","https://openalex.org/W2601564443","https://openalex.org/W2796368857","https://openalex.org/W2813817099","https://openalex.org/W2886787375","https://openalex.org/W2892802370","https://openalex.org/W2901157565","https://openalex.org/W2904275768","https://openalex.org/W2938463073","https://openalex.org/W2955639361","https://openalex.org/W2962785568","https://openalex.org/W2964160927","https://openalex.org/W2965669158","https://openalex.org/W2969884493","https://openalex.org/W2970672284","https://openalex.org/W2998281665","https://openalex.org/W2999219213","https://openalex.org/W3010268791","https://openalex.org/W3010556452","https://openalex.org/W3034233131","https://openalex.org/W3034419760","https://openalex.org/W3034685081","https://openalex.org/W3035051775","https://openalex.org/W3035303839","https://openalex.org/W3040838455","https://openalex.org/W3095435396","https://openalex.org/W3109192943","https://openalex.org/W3109908659","https://openalex.org/W3110052477","https://openalex.org/W3118564668","https://openalex.org/W3127641627","https://openalex.org/W3129515718","https://openalex.org/W3129601843","https://openalex.org/W3157035436","https://openalex.org/W3174491972","https://openalex.org/W3176148916","https://openalex.org/W3177555852","https://openalex.org/W3186573928","https://openalex.org/W3191528047","https://openalex.org/W3199181825","https://openalex.org/W3202534481","https://openalex.org/W4213412898","https://openalex.org/W4214514519","https://openalex.org/W4246399668","https://openalex.org/W4292787316","https://openalex.org/W4304091730","https://openalex.org/W4312363658","https://openalex.org/W4312383539","https://openalex.org/W4312425087","https://openalex.org/W4312581549","https://openalex.org/W4312815172","https://openalex.org/W4312852806","https://openalex.org/W4313029475","https://openalex.org/W4323897324","https://openalex.org/W4377235326","https://openalex.org/W4378375546","https://openalex.org/W4386065527","https://openalex.org/W4386362958","https://openalex.org/W4386431970","https://openalex.org/W4387063747","https://openalex.org/W4389666540","https://openalex.org/W4389722805","https://openalex.org/W4390873333","https://openalex.org/W4390874054","https://openalex.org/W4390874524","https://openalex.org/W4390970172","https://openalex.org/W4392172931","https://openalex.org/W4392543664","https://openalex.org/W4396766400","https://openalex.org/W4399993978","https://openalex.org/W4401879614","https://openalex.org/W4402704559","https://openalex.org/W6631190155","https://openalex.org/W6754532261","https://openalex.org/W6755494875","https://openalex.org/W6766978945","https://openalex.org/W6846642389"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"Event":[0],"cameras":[1,18],"are":[2],"innovative":[3],"neuromorphic":[4],"sensors":[5],"that":[6,79,158],"asynchronously":[7],"capture":[8],"the":[9,14,36,99,106,141,170],"scene":[10],"dynamics.":[11],"Due":[12],"to":[13,32,45,63,92,104,119],"event-triggering":[15],"mechanism,":[16],"such":[17],"record":[19],"event":[20,85,101,130],"streams":[21],"with":[22,87,124],"much":[23],"shorter":[24],"response":[25],"latency":[26],"and":[27,129,178,191],"higher":[28],"intensity":[29],"sensitivity":[30],"compared":[31],"conventional":[33],"cameras.":[34],"On":[35],"basis":[37],"of":[38,108,172],"these":[39],"features,":[40],"previous":[41],"works":[42],"have":[43,55],"attempted":[44],"reconstruct":[46,80],"high":[47,66],"dynamic":[48],"range":[49],"(HDR)":[50],"videos":[51,83,128],"from":[52,58,84,152],"events,":[53],"but":[54],"either":[56],"suffered":[57],"unrealistic":[59],"artifacts":[60],"or":[61],"failed":[62],"provide":[64],"sufficiently":[65],"frame":[67,90],"rates.":[68],"In":[69],"this":[70,136],"paper,":[71],"we":[72,113],"present":[73],"a":[74,88,115,121],"recurrent":[75],"convolutional":[76],"neural":[77],"network":[78],"high-speed":[81,126,164],"HDR":[82,127,165,196],"sequences,":[86],"key":[89],"guidance":[91],"prevent":[93],"potential":[94,150,171],"error":[95],"accumulation":[96],"caused":[97],"by":[98],"sparse":[100],"data.":[102],"Additionally,":[103],"address":[105],"problem":[107],"severely":[109],"limited":[110],"real":[111,143],"dataset,":[112],"develop":[114],"new":[116],"optical":[117,188],"system":[118],"collect":[120],"real-world":[122],"dataset":[123,139,145],"paired":[125,144],"streams,":[131],"facilitating":[132],"future":[133],"research":[134],"in":[135,175],"field.":[137],"Our":[138],"provides":[140],"first":[142],"for":[146],"event-to-HDR":[147],"reconstruction,":[148],"avoiding":[149],"inaccuracies":[151],"simulation":[153],"strategies.":[154],"Experimental":[155],"results":[156],"demonstrate":[157],"our":[159,173],"method":[160],"can":[161],"generate":[162],"high-quality,":[163],"videos.":[166],"We":[167],"further":[168],"explore":[169],"work":[174],"cross-camera":[176],"reconstruction":[177],"downstream":[179],"computer":[180],"vision":[181],"tasks,":[182],"including":[183],"object":[184],"detection,":[185],"panoramic":[186],"segmentation,":[187],"flow":[189],"estimation,":[190],"monocular":[192],"depth":[193],"estimation":[194],"under":[195],"scenarios.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":2}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}