{"id":"https://openalex.org/W4386598306","doi":"https://doi.org/10.1109/icip49359.2023.10222771","title":"Event-Based Camera Simulation Using Monte Carlo Path Tracing with Adaptive Denoising","display_name":"Event-Based Camera Simulation Using Monte Carlo Path Tracing with Adaptive Denoising","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386598306","doi":"https://doi.org/10.1109/icip49359.2023.10222771"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222771","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10222771","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","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/A5032080268","display_name":"Yuta Tsuji","orcid":"https://orcid.org/0000-0003-4224-4532"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuta Tsuji","raw_affiliation_strings":["Waseda University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Waseda University","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071419414","display_name":"Tatsuya Yatagawa","orcid":"https://orcid.org/0000-0003-4653-2435"},"institutions":[{"id":"https://openalex.org/I111428342","display_name":"Hitotsubashi University","ror":"https://ror.org/04jqj7p05","country_code":"JP","type":"education","lineage":["https://openalex.org/I111428342"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tatsuya Yatagawa","raw_affiliation_strings":["Hitotsubashi University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hitotsubashi University","institution_ids":["https://openalex.org/I111428342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102143223","display_name":"Hiroyuki Kubo","orcid":null},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroyuki Kubo","raw_affiliation_strings":["Chiba University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chiba University","institution_ids":["https://openalex.org/I159385669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083427215","display_name":"Shigeo Morishima","orcid":"https://orcid.org/0000-0001-8859-6539"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shigeo Morishima","raw_affiliation_strings":["Waseda University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Waseda University","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0824,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8666279,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"301","last_page":"305"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9988999962806702,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"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/path-tracing","display_name":"Path tracing","score":0.8852574229240417},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7093676328659058},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6795831322669983},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6058001518249512},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.580867350101471},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5525668263435364},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5344749093055725},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.49723318219184875},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4891052842140198},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.482328861951828},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.46872103214263916},{"id":"https://openalex.org/keywords/global-illumination","display_name":"Global illumination","score":0.4650028944015503},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.44295838475227356},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.423168420791626},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.4114549160003662},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.398276150226593},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.2209392488002777},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18116626143455505},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.14093294739723206},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10847803950309753},{"id":"https://openalex.org/keywords/multiview-video-coding","display_name":"Multiview Video Coding","score":0.06955417990684509}],"concepts":[{"id":"https://openalex.org/C110541219","wikidata":"https://www.wikidata.org/wiki/Q72948","display_name":"Path tracing","level":3,"score":0.8852574229240417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7093676328659058},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6795831322669983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6058001518249512},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.580867350101471},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5525668263435364},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5344749093055725},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.49723318219184875},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4891052842140198},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.482328861951828},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.46872103214263916},{"id":"https://openalex.org/C89720835","wikidata":"https://www.wikidata.org/wiki/Q1531701","display_name":"Global illumination","level":3,"score":0.4650028944015503},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.44295838475227356},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.423168420791626},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.4114549160003662},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.398276150226593},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.2209392488002777},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18116626143455505},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.14093294739723206},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10847803950309753},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.06955417990684509},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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:10.1109/icip49359.2023.10222771","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10222771","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2363020693","display_name":"A Study on Multi-modal Automatic Simultaneous Interpretation System and Evaluation Method","funder_award_id":"21H05054","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G3489341541","display_name":"Audio-Visual Music Understanding Based on Integration of Recognition and Generative Processes","funder_award_id":"19H04137","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6597667118","display_name":null,"funder_award_id":"JPMJMI19B2","funder_id":"https://openalex.org/F4320338243","funder_display_name":"JST-Mirai Program"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320338243","display_name":"JST-Mirai Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1492510670","https://openalex.org/W1975697167","https://openalex.org/W1993304626","https://openalex.org/W2016574277","https://openalex.org/W2138624212","https://openalex.org/W2207744012","https://openalex.org/W2466064361","https://openalex.org/W2519559998","https://openalex.org/W2560835477","https://openalex.org/W2738449271","https://openalex.org/W2738551266","https://openalex.org/W2783185291","https://openalex.org/W2788172931","https://openalex.org/W2789435382","https://openalex.org/W2963093735","https://openalex.org/W3013243617","https://openalex.org/W3035338950","https://openalex.org/W3040838455","https://openalex.org/W3101118898","https://openalex.org/W3106188738","https://openalex.org/W3188021906","https://openalex.org/W6755494875","https://openalex.org/W6991013602"],"related_works":["https://openalex.org/W2902083801","https://openalex.org/W4376115546","https://openalex.org/W2397912953","https://openalex.org/W2124439461","https://openalex.org/W4281488350","https://openalex.org/W4206603469","https://openalex.org/W594203187","https://openalex.org/W3116556529","https://openalex.org/W4388994528","https://openalex.org/W2405374556"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,7,122],"algorithm":[4],"to":[5,62,71,79,92,100,117],"obtain":[6],"event-based":[8,34],"video":[9,35,102],"from":[10,46,105],"noisy":[11,47,101],"frames":[12,103],"given":[13],"by":[14],"physics-based":[15],"Monte":[16],"Carlo":[17],"path":[18],"tracing":[19],"over":[20],"a":[21,40,52,57,77,106],"synthetic":[22],"3D":[23],"scene.":[24],"Given":[25],"the":[26,44,64,81,88,94],"nature":[27],"of":[28,42,83,90],"dynamic":[29],"vision":[30],"sensor":[31],"(DVS),":[32],"rendering":[33],"can":[36],"be":[37],"viewed":[38],"as":[39],"process":[41],"detecting":[43],"changes":[45,66],"brightness":[48,65],"values.":[49],"We":[50],"extend":[51],"denoising":[53,70],"method":[54,97,114],"based":[55],"on":[56],"weighted":[58],"local":[59],"regression":[60],"(WLR)":[61],"detect":[63],"rather":[67],"than":[68,121],"applying":[69],"every":[72,127],"pixel.":[73],"Specifically,":[74],"we":[75],"derive":[76],"threshold":[78],"determine":[80],"likelihood":[82],"event":[84],"occurrence":[85],"and":[86],"reduce":[87],"number":[89],"times":[91],"perform":[93],"regression.":[95],"Our":[96],"is":[98],"robust":[99],"obtained":[104],"few":[107],"path-traced":[108],"samples.":[109],"Despite":[110],"its":[111],"efficiency,":[112],"our":[113,130],"performs":[115],"comparably":[116],"or":[118],"even":[119],"better":[120],"approach":[123],"that":[124],"exhaustively":[125],"denoises":[126],"frame.":[128],"Visit":[129],"project":[131],"page":[132],"for":[133],"more":[134],"information:":[135],"https:":[136],"//github.com/0V/ESIM-AD.git.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-08-16T07:02:28.622633","created_date":"2025-10-10T00:00:00"}