{"id":"https://openalex.org/W4387967868","doi":"https://doi.org/10.1145/3581783.3612505","title":"Event-based Motion Deblurring with Modality-Aware Decomposition and Recomposition","display_name":"Event-based Motion Deblurring with Modality-Aware Decomposition and Recomposition","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387967868","doi":"https://doi.org/10.1145/3581783.3612505"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3612505","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3612505","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612505","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612505","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081360477","display_name":"Wen Yang","orcid":"https://orcid.org/0000-0001-5075-2452"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Yang","raw_affiliation_strings":["Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-5075-2452","affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074780876","display_name":"Jinjian Wu","orcid":"https://orcid.org/0000-0001-7501-0009"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinjian Wu","raw_affiliation_strings":["Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-7501-0009","affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033615240","display_name":"Leida Li","orcid":"https://orcid.org/0000-0001-9069-8796"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leida Li","raw_affiliation_strings":["Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-9069-8796","affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037310802","display_name":"Weisheng Dong","orcid":"https://orcid.org/0000-0002-9632-985X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weisheng Dong","raw_affiliation_strings":["Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-9632-985X","affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101549504","display_name":"Guangming Shi","orcid":"https://orcid.org/0000-0003-2179-3292"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangming Shi","raw_affiliation_strings":["Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-2179-3292","affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":1.3327,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.87749822,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"8327","last_page":"8335"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9969000220298767,"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/T11996","display_name":"Random lasers and scattering media","score":0.9868999719619751,"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/deblurring","display_name":"Deblurring","score":0.8164505362510681},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7973924279212952},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7879783511161804},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7683253288269043},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.6382884979248047},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5791561007499695},{"id":"https://openalex.org/keywords/inter-frame","display_name":"Inter frame","score":0.5438152551651001},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5377827286720276},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5340667366981506},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5161072015762329},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.32699763774871826},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.25085294246673584},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2192426323890686},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.19757387042045593}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.8164505362510681},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7973924279212952},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7879783511161804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7683253288269043},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.6382884979248047},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5791561007499695},{"id":"https://openalex.org/C39394851","wikidata":"https://www.wikidata.org/wiki/Q921594","display_name":"Inter frame","level":4,"score":0.5438152551651001},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5377827286720276},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5340667366981506},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5161072015762329},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.32699763774871826},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.25085294246673584},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2192426323890686},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.19757387042045593},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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:10.1145/3581783.3612505","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3612505","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612505","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3581783.3612505","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3612505","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612505","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1006664453","display_name":null,"funder_award_id":"62022063","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387967868.pdf","grobid_xml":"https://content.openalex.org/works/W4387967868.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W159023233","https://openalex.org/W1987075379","https://openalex.org/W2129247234","https://openalex.org/W2138204001","https://openalex.org/W2166475174","https://openalex.org/W2776004874","https://openalex.org/W2866634454","https://openalex.org/W2964030969","https://openalex.org/W2964160927","https://openalex.org/W2965217508","https://openalex.org/W2982795046","https://openalex.org/W2997058852","https://openalex.org/W3000775737","https://openalex.org/W3014859219","https://openalex.org/W3034789174","https://openalex.org/W3035212231","https://openalex.org/W3097463671","https://openalex.org/W3110052477","https://openalex.org/W3138516171","https://openalex.org/W3176096490","https://openalex.org/W3203854346","https://openalex.org/W4214815024","https://openalex.org/W4229828140","https://openalex.org/W4289537802","https://openalex.org/W4292259411","https://openalex.org/W4292829037","https://openalex.org/W4304086862","https://openalex.org/W4307771774","https://openalex.org/W4312238950","https://openalex.org/W4312280868","https://openalex.org/W4312938066","https://openalex.org/W6600838504"],"related_works":["https://openalex.org/W4224288641","https://openalex.org/W4382450485","https://openalex.org/W4229459996","https://openalex.org/W2232201529","https://openalex.org/W2558246008","https://openalex.org/W4293737289","https://openalex.org/W4391468564","https://openalex.org/W4224029260","https://openalex.org/W2121853623","https://openalex.org/W4388209117"],"abstract_inverted_index":{"Event":[0,14],"camera":[1],"responds":[2],"to":[3,37,56,91,138,169],"the":[4,39,44,58,92,102,120,141,153],"brightness":[5],"changes":[6],"at":[7,146],"each":[8],"pixel":[9],"independently":[10],"with":[11,69],"microsecond":[12],"accuracy.":[13],"cameras":[15,34,62],"offer":[16],"attractive":[17],"property":[18],"that":[19],"can":[20],"record":[21],"well":[22,90],"high-speed":[23],"scene":[24,45],"but":[25,46],"ignore":[26],"static":[27],"and":[28,84,95,125,143,182,196],"non-moving":[29],"areas,":[30],"while":[31],"conventional":[32],"frame":[33,68,94,124,142],"are":[35,185],"able":[36],"acquire":[38],"whole":[40],"intensity":[41,67],"information":[42,129,172],"of":[43,60,179],"suffer":[47],"from":[48,123],"motion":[49,71,86,114,198],"blur.":[50,72],"Therefore,":[51],"it":[52],"would":[53],"be":[54],"desirable":[55],"combine":[57],"best":[59],"two":[61],"for":[63,81,113],"reconstructing":[64],"high":[65],"quality":[66],"no":[70],"The":[73],"human":[74],"visual":[75,104,158],"system":[76],"presents":[77],"a":[78,106,161,188],"two-pathway":[79,103],"procedure":[80],"non-action-based":[82],"representation":[83],"objects":[85],"perception,":[87],"which":[88,117,149,177],"corresponds":[89],"hybrid":[93],"event.":[96,126],"In":[97],"this":[98],"paper,":[99],"inspired":[100],"by":[101],"system,":[105],"novel":[107],"dual-stream":[108],"based":[109,131],"framework":[110],"is":[111,135,150,167],"proposed":[112,137],"deblurring":[115],"(DS-Deblur),":[116],"flexibly":[118],"utilizes":[119],"respective":[121],"advantages":[122],"A":[127],"complementary-unique":[128],"splitting":[130],"feature":[132,164],"fusion":[133],"module":[134,166],"firstly":[136],"adaptively":[139],"aggregate":[140],"event":[144],"progressively":[145],"multiple":[147],"levels,":[148],"well-grounded":[151],"on":[152,193],"hierarchical":[154],"process":[155],"in":[156,176,187],"twopathway":[157],"system.":[159],"Then,":[160],"recurrent":[162],"spatio-temporal":[163],"transformation":[165],"designed":[168],"exploit":[170],"relevant":[171],"between":[173],"adjacent":[174],"frames,":[175],"features":[178],"both":[180,194],"current":[181],"previous":[183],"frames":[184],"transformed":[186],"global-local":[189],"manner.":[190],"Extensive":[191],"experiments":[192],"synthetic":[195],"real":[197],"blur":[199],"datasets":[200],"demonstrate":[201],"our":[202],"method":[203],"achieves":[204],"state-of-the-art":[205],"performance.":[206],"Project":[207],"website:":[208],"https://github.com/wyang-vis/Motion-Deblurringwith-Hybrid-Frames-and-Events.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
