{"id":"https://openalex.org/W4390873592","doi":"https://doi.org/10.1109/iccv51070.2023.00985","title":"Generalizing Event-Based Motion Deblurring in Real-World Scenarios","display_name":"Generalizing Event-Based Motion Deblurring in Real-World Scenarios","publication_year":2023,"publication_date":"2023-10-01","ids":{"openalex":"https://openalex.org/W4390873592","doi":"https://doi.org/10.1109/iccv51070.2023.00985"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51070.2023.00985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51070.2023.00985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"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/A5100651136","display_name":"Xiang Zhang","orcid":"https://orcid.org/0000-0002-1017-742X"},"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":["Wuhan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","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":false,"raw_author_name":"Lei Yu","raw_affiliation_strings":["Wuhan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University","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":["Wuhan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039205892","display_name":"Jianzhuang Liu","orcid":"https://orcid.org/0000-0002-7960-9382"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianzhuang Liu","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology","institution_ids":["https://openalex.org/I4210145761"]}]},{"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":["Wuhan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2217,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.94556617,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"10700","last_page":"10710"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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":0.9901999831199646,"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":0.982200026512146,"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/deblurring","display_name":"Deblurring","score":0.9769095778465271},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7552633285522461},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6596655249595642},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.6487245559692383},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5809035301208496},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49958229064941406},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.45401349663734436},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.41785645484924316},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3668874204158783},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33024293184280396},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.32363957166671753},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.17735564708709717}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9769095778465271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7552633285522461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6596655249595642},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.6487245559692383},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5809035301208496},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49958229064941406},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.45401349663734436},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.41785645484924316},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3668874204158783},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33024293184280396},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.32363957166671753},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.17735564708709717},{"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":1,"locations":[{"id":"doi:10.1109/iccv51070.2023.00985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51070.2023.00985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1580389772","https://openalex.org/W1598281290","https://openalex.org/W1987075379","https://openalex.org/W2016574277","https://openalex.org/W2098535678","https://openalex.org/W2474628748","https://openalex.org/W2953823547","https://openalex.org/W2963945023","https://openalex.org/W2964317599","https://openalex.org/W2966926453","https://openalex.org/W2970672284","https://openalex.org/W2998281665","https://openalex.org/W3034469298","https://openalex.org/W3040838455","https://openalex.org/W3100506797","https://openalex.org/W3110052477","https://openalex.org/W3168684807","https://openalex.org/W3173494255","https://openalex.org/W3174138177","https://openalex.org/W3174865552","https://openalex.org/W3191528047","https://openalex.org/W3202748844","https://openalex.org/W3217246126","https://openalex.org/W4225528085","https://openalex.org/W4226453196","https://openalex.org/W4310298833","https://openalex.org/W4312238950","https://openalex.org/W4312280868","https://openalex.org/W4312400353","https://openalex.org/W4312425969","https://openalex.org/W4312608394","https://openalex.org/W4312623579","https://openalex.org/W4313166393","https://openalex.org/W4313190957","https://openalex.org/W4320015914","https://openalex.org/W6631190155","https://openalex.org/W6726497184","https://openalex.org/W6801728589","https://openalex.org/W6810875472"],"related_works":["https://openalex.org/W4224288641","https://openalex.org/W4382450485","https://openalex.org/W4229459996","https://openalex.org/W2232201529","https://openalex.org/W2066613488","https://openalex.org/W2031788393","https://openalex.org/W2558246008","https://openalex.org/W4293737289","https://openalex.org/W4391468564","https://openalex.org/W4297097661"],"abstract_inverted_index":{"Event-based":[0],"motion":[1,69,115],"deblurring":[2,105],"has":[3],"shown":[4],"promising":[5],"results":[6],"by":[7],"exploiting":[8],"low-latency":[9],"events.":[10],"However,":[11],"current":[12],"approaches":[13],"are":[14],"limited":[15],"in":[16,47,117,146],"their":[17],"practical":[18],"usage,":[19],"as":[20],"they":[21],"assume":[22],"the":[23,42,86,94],"same":[24],"spatial":[25,59,110],"resolution":[26],"of":[27,44,68,88,99,114,137],"inputs":[28],"and":[29,38,61,97,102,111,129,141],"specific":[30],"blurriness":[31],"distributions.":[32],"This":[33],"work":[34],"addresses":[35],"these":[36],"limitations":[37],"aims":[39],"to":[40,79,107,143],"generalize":[41],"performance":[43,106],"event-based":[45,147],"de-blurring":[46],"real-world":[48,81,134],"scenarios.":[49],"We":[50],"propose":[51],"a":[52,118,133],"scale-aware":[53],"network":[54],"that":[55],"allows":[56],"flexible":[57],"input":[58],"scales":[60,67,113],"enables":[62],"learning":[63,74],"from":[64],"different":[65],"temporal":[66,112],"blur.":[70],"A":[71],"two-stage":[72],"self-supervised":[73],"scheme":[75],"is":[76,123],"then":[77],"developed":[78],"fit":[80],"data":[82],"distribution.":[83],"By":[84],"utilizing":[85],"relativity":[87],"blurriness,":[89],"our":[90],"approach":[91],"efficiently":[92],"ensures":[93],"restored":[95],"brightness":[96],"structure":[98],"latent":[100],"images":[101],"further":[103],"generalizes":[104],"handle":[108],"varying":[109],"blur":[116],"self-distillation":[119],"manner.":[120],"Our":[121],"method":[122],"extensively":[124],"evaluated,":[125],"demonstrating":[126],"remarkable":[127],"performance,":[128],"we":[130],"also":[131],"introduce":[132],"dataset":[135],"consisting":[136],"multi-scale":[138],"blurry":[139],"frames":[140],"events":[142],"facilitate":[144],"research":[145],"deblurring.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":14}],"updated_date":"2026-08-19T15:00:24.278416","created_date":"2025-10-10T00:00:00"}