{"id":"https://openalex.org/W4403792284","doi":"https://doi.org/10.1145/3664647.3681051","title":"Color4E: Event Demosaicing for Full-color Event Guided Image Deblurring","display_name":"Color4E: Event Demosaicing for Full-color Event Guided Image Deblurring","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403792284","doi":"https://doi.org/10.1145/3664647.3681051"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3681051","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","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/A5101601195","display_name":"Yi Ma","orcid":"https://orcid.org/0009-0000-9351-4358"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yi Ma","raw_affiliation_strings":["National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University & National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University & National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020359488","display_name":"Peng Duan","orcid":"https://orcid.org/0000-0003-0511-5651"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peiqi Duan","raw_affiliation_strings":["National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University & National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University & National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087168776","display_name":"Yuchen Hong","orcid":"https://orcid.org/0000-0003-2772-217X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchen Hong","raw_affiliation_strings":["National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University & National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University & National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023089115","display_name":"Chu Zhou","orcid":"https://orcid.org/0000-0002-3962-6313"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chu Zhou","raw_affiliation_strings":["National Key Lab of General Al, School of Intelligence Science and Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Key Lab of General Al, School of Intelligence Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100651152","display_name":"Yu Zhang","orcid":"https://orcid.org/0000-0002-9653-3906"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhang","raw_affiliation_strings":["SenseTime Research, Beijing, China"],"affiliations":[{"raw_affiliation_string":"SenseTime Research, Beijing, China","institution_ids":["https://openalex.org/I4210128910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020276561","display_name":"Jimmy Ren","orcid":"https://orcid.org/0000-0002-5888-3083"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jimmy Ren","raw_affiliation_strings":["SenseTime Research, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"SenseTime Research, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I4210128910"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038326097","display_name":"Boxin Shi","orcid":"https://orcid.org/0000-0001-6749-0364"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boxin Shi","raw_affiliation_strings":["National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University & National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University & National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101601195"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.4986,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66165174,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"661","last_page":"670"},"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":0.9990000128746033,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deblurring","display_name":"Deblurring","score":0.9743872880935669},{"id":"https://openalex.org/keywords/demosaicing","display_name":"Demosaicing","score":0.6706030368804932},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6506790518760681},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6288676261901855},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6056833267211914},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6049602031707764},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4900926351547241},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.422014445066452},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.28819313645362854},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.26069486141204834},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05896911025047302}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9743872880935669},{"id":"https://openalex.org/C27624317","wikidata":"https://www.wikidata.org/wiki/Q263499","display_name":"Demosaicing","level":5,"score":0.6706030368804932},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6506790518760681},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6288676261901855},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6056833267211914},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6049602031707764},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4900926351547241},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.422014445066452},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28819313645362854},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.26069486141204834},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05896911025047302},{"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:10.1145/3664647.3681051","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1892266664","https://openalex.org/W1901129140","https://openalex.org/W1969210895","https://openalex.org/W1980178290","https://openalex.org/W2016574277","https://openalex.org/W2331128040","https://openalex.org/W2410797836","https://openalex.org/W2507540959","https://openalex.org/W2556872594","https://openalex.org/W2560533888","https://openalex.org/W2752782242","https://openalex.org/W2788172931","https://openalex.org/W2797343523","https://openalex.org/W2963182372","https://openalex.org/W2970672284","https://openalex.org/W2971037509","https://openalex.org/W2972000740","https://openalex.org/W3009164273","https://openalex.org/W3035212231","https://openalex.org/W3035234594","https://openalex.org/W3035303839","https://openalex.org/W3035669331","https://openalex.org/W3085824656","https://openalex.org/W3097097310","https://openalex.org/W3106188738","https://openalex.org/W3110052477","https://openalex.org/W3133531783","https://openalex.org/W3147952642","https://openalex.org/W3150819141","https://openalex.org/W3170697543","https://openalex.org/W3173166984","https://openalex.org/W3174138177","https://openalex.org/W3176469911","https://openalex.org/W3186542190","https://openalex.org/W3191528047","https://openalex.org/W3199425519","https://openalex.org/W3202291536","https://openalex.org/W3202747741","https://openalex.org/W3203854346","https://openalex.org/W3215519494","https://openalex.org/W4214638086","https://openalex.org/W4283810745","https://openalex.org/W4288326926","https://openalex.org/W4292259411","https://openalex.org/W4312238950","https://openalex.org/W4312273313","https://openalex.org/W4312280868","https://openalex.org/W4312363658","https://openalex.org/W4312581549","https://openalex.org/W4312608394","https://openalex.org/W4312623579","https://openalex.org/W4320015914","https://openalex.org/W4385819596","https://openalex.org/W4386076604","https://openalex.org/W4387967868"],"related_works":["https://openalex.org/W2066613488","https://openalex.org/W2031788393","https://openalex.org/W791927757","https://openalex.org/W2970919733","https://openalex.org/W2182590612","https://openalex.org/W3153582293","https://openalex.org/W2905397092","https://openalex.org/W2269775642","https://openalex.org/W3080537281","https://openalex.org/W2289746762"],"abstract_inverted_index":{"Neuromorphic":[0],"event":[1,101,155],"sensors":[2],"are":[3],"novel":[4,83],"visual":[5],"cameras":[6],"that":[7,150,181],"feature":[8],"high-speed":[9],"illumination-variation":[10],"sensing":[11],"and":[12,68,113,132,153,168,176],"have":[13],"found":[14],"widespread":[15],"application":[16],"in":[17,28],"guiding":[18],"frame-based":[19],"imaging":[20],"enhancement.":[21],"This":[22],"paper":[23],"focuses":[24],"on":[25,172],"color":[26,40,51,61,90,111],"restoration":[27,91],"the":[29,89,94,106,140,173],"event-guided":[30],"image":[31,74,95,116,186],"deblurring":[32,96,117,187],"task,":[33],"we":[34,80,145],"fuse":[35,129],"blurry":[36],"images":[37],"with":[38,56],"mosaic":[39,110,152],"events":[41,45,62,112,131],"instead":[42],"of":[43,109,143],"mono":[44],"to":[46,72,87,104,128,138,159,189],"avoid":[47,139],"artifacts":[48],"such":[49],"as":[50],"bleeding.":[52],"The":[53,170],"challenges":[54],"associated":[55],"this":[57],"approach":[58],"include":[59],"demosaicing":[60,102],"for":[63,93,119,165],"reconstructing":[64],"full-resolution":[65],"sampled":[66],"signals":[67,71],"fusing":[69,120],"bimodal":[70,121],"achieve":[73],"deblurring.":[75],"To":[76],"meet":[77],"these":[78],"challenges,":[79],"propose":[81],"a":[82,114,123,147,161],"network":[84,166],"called":[85],"Color4E":[86,98,182],"enhance":[88],"quality":[92],"task.":[97],"leverages":[99],"an":[100],"module":[103,118,125],"upsample":[105],"spatial":[107],"resolution":[108],"cross-encoding":[115],"signals,":[122],"refinement":[124],"is":[126],"designed":[127],"full-color":[130,154],"refine":[133],"initial":[134],"deblurred":[135],"images.":[136],"Furthermore,":[137],"real-simulated":[141],"gap":[142],"events,":[144],"implement":[146],"display-filter-camera":[148],"system":[149],"enables":[151,183],"data":[156],"captured":[157],"synchronously,":[158],"collect":[160],"real-captured":[162],"dataset":[163,175,179],"used":[164],"training":[167],"validation.":[169],"results":[171],"public":[174],"our":[177],"collected":[178],"show":[180],"high-quality":[184],"event-based":[185],"compared":[188],"state-of-the-art":[190],"methods.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}