{"id":"https://openalex.org/W2987238981","doi":"https://doi.org/10.1145/3355088.3365143","title":"The Power of Box Filters: Real-time Approximation to Large Convolution Kernel by Box-filtered Image Pyramid","display_name":"The Power of Box Filters: Real-time Approximation to Large Convolution Kernel by Box-filtered Image Pyramid","publication_year":2019,"publication_date":"2019-11-15","ids":{"openalex":"https://openalex.org/W2987238981","doi":"https://doi.org/10.1145/3355088.3365143","mag":"2987238981"},"language":"en","primary_location":{"id":"doi:10.1145/3355088.3365143","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3355088.3365143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2019 Technical Briefs","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/A5101803973","display_name":"Tianchen Xu","orcid":"https://orcid.org/0000-0002-0102-7630"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tianchen Xu","raw_affiliation_strings":["Advanced Micro Devices, Inc., China"],"affiliations":[{"raw_affiliation_string":"Advanced Micro Devices, Inc., China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028907215","display_name":"Xiaohua Ren","orcid":"https://orcid.org/0000-0002-3196-9880"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohua Ren","raw_affiliation_strings":["Tencent Youtu X-Lab"],"affiliations":[{"raw_affiliation_string":"Tencent Youtu X-Lab","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013119881","display_name":"Enhua Wu","orcid":"https://orcid.org/0000-0002-2174-1428"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["CN","MO"],"is_corresponding":false,"raw_author_name":"Enhua Wu","raw_affiliation_strings":["State Key Lab of CS, Institute of Software, Chinese Academy of Sciences & Univ. of CAS Faculty of Science and Technology, University of Macau"],"affiliations":[{"raw_affiliation_string":"State Key Lab of CS, Institute of Software, Chinese Academy of Sciences & Univ. of CAS Faculty of Science and Technology, University of Macau","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366","https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101803973"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.24024024,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.9995999932289124,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7815055847167969},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6095629334449768},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5847001075744629},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5151106715202332},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48379725217819214},{"id":"https://openalex.org/keywords/overlap\u2013add-method","display_name":"Overlap\u2013add method","score":0.43841439485549927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36098960041999817},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35300445556640625},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34830260276794434},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.08290863037109375},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.0743643045425415},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07404768466949463}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7815055847167969},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6095629334449768},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5847001075744629},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5151106715202332},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48379725217819214},{"id":"https://openalex.org/C181002996","wikidata":"https://www.wikidata.org/wiki/Q1611641","display_name":"Overlap\u2013add method","level":5,"score":0.43841439485549927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36098960041999817},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35300445556640625},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34830260276794434},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.08290863037109375},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.0743643045425415},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07404768466949463},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.0},{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3355088.3365143","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3355088.3365143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2019 Technical Briefs","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":9,"referenced_works":["https://openalex.org/W1486787228","https://openalex.org/W2061079774","https://openalex.org/W2105649179","https://openalex.org/W2112185810","https://openalex.org/W2144112052","https://openalex.org/W2164369380","https://openalex.org/W2400350896","https://openalex.org/W2998555201","https://openalex.org/W4254591541"],"related_works":["https://openalex.org/W2267589039","https://openalex.org/W2369791303","https://openalex.org/W4372260258","https://openalex.org/W2133280289","https://openalex.org/W2360069155","https://openalex.org/W2759540840","https://openalex.org/W3034421924","https://openalex.org/W2982536526","https://openalex.org/W4385338604","https://openalex.org/W4386858688"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,15,59],"novel":[4],"solution":[5],"for":[6,29],"approximations":[7],"to":[8,84],"some":[9],"large":[10],"convolution":[11,42],"kernels":[12],"by":[13,50],"leveraging":[14],"weighted":[16],"box-filtered":[17],"image":[18,69],"pyramid":[19],"set.":[20],"Convolution":[21],"filters":[22],"are":[23],"widely":[24],"used,":[25],"but":[26],"still":[27],"compute-intensive":[28],"real-time":[30],"rendering":[31],"when":[32],"the":[33,41,67,75],"kernel":[34,76],"size":[35],"is":[36,72],"large.":[37],"Our":[38],"algorithm":[39],"approximates":[40],"kernels,":[43],"such":[44],"as":[45],"Gaussian":[46],"and":[47,55,71,90,98,102],"cosine":[48],"filters,":[49],"two":[51],"phases":[52],"of":[53,74],"down":[54],"up":[56],"sampling":[57],"on":[58,66],"GPU.":[60],"The":[61],"computational":[62],"complexity":[63],"only":[64],"depends":[65],"input":[68],"resolution":[70],"independent":[73],"size.":[77],"Therefore,":[78],"our":[79],"method":[80],"can":[81],"be":[82],"applied":[83],"nonuniform":[85],"blurs,":[86],"irradiance":[87],"probe":[88],"generations,":[89],"ray-traced":[91],"glossy":[92],"global":[93],"illuminations":[94],"in":[95,100],"real":[96],"time,":[97],"runs":[99],"effective":[101],"efficient":[103],"performance.":[104]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}