{"id":"https://openalex.org/W3015518915","doi":"https://doi.org/10.1109/icassp40776.2020.9054091","title":"Fast Acoustic Scattering Using Convolutional Neural Networks","display_name":"Fast Acoustic Scattering Using Convolutional Neural Networks","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015518915","doi":"https://doi.org/10.1109/icassp40776.2020.9054091","mag":"3015518915"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9054091","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5025167490","display_name":"Ziqi Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ziqi Fan","raw_affiliation_strings":["University of Florida, Gainesville"],"affiliations":[{"raw_affiliation_string":"University of Florida, Gainesville","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045147286","display_name":"Vibhav Vineet","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Vibhav Vineet","raw_affiliation_strings":["Microsoft Research, Redmond"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036868085","display_name":"Hannes Gamper","orcid":"https://orcid.org/0000-0002-2148-6367"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hannes Gamper","raw_affiliation_strings":["Microsoft Research, Redmond"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057559622","display_name":"Nikunj Raghuvanshi","orcid":"https://orcid.org/0000-0002-9154-5625"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nikunj Raghuvanshi","raw_affiliation_strings":["Microsoft Research, Redmond"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond","institution_ids":["https://openalex.org/I4210164937"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025167490"],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":3.5146,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.91948289,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"171","last_page":"175"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.995199978351593,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6432559490203857},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6425264477729797},{"id":"https://openalex.org/keywords/loudness","display_name":"Loudness","score":0.6000137329101562},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5288482904434204},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5236101746559143},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.5133487582206726},{"id":"https://openalex.org/keywords/diffraction","display_name":"Diffraction","score":0.4697936773300171},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45252034068107605},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4368235468864441},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4129948019981384},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.38596081733703613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34876900911331177},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2921261191368103},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.2717917561531067},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2518467605113983},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15410766005516052}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6432559490203857},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6425264477729797},{"id":"https://openalex.org/C79018884","wikidata":"https://www.wikidata.org/wiki/Q622324","display_name":"Loudness","level":2,"score":0.6000137329101562},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5288482904434204},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5236101746559143},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.5133487582206726},{"id":"https://openalex.org/C207114421","wikidata":"https://www.wikidata.org/wiki/Q133900","display_name":"Diffraction","level":2,"score":0.4697936773300171},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45252034068107605},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4368235468864441},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4129948019981384},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.38596081733703613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34876900911331177},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2921261191368103},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2717917561531067},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2518467605113983},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15410766005516052},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9054091","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":43,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1499332833","https://openalex.org/W1559975096","https://openalex.org/W1968802084","https://openalex.org/W1977422919","https://openalex.org/W1981010575","https://openalex.org/W1981440655","https://openalex.org/W2001902618","https://openalex.org/W2034491412","https://openalex.org/W2087458881","https://openalex.org/W2096001341","https://openalex.org/W2102003408","https://openalex.org/W2144313611","https://openalex.org/W2194775991","https://openalex.org/W2302255633","https://openalex.org/W2410879554","https://openalex.org/W2557406251","https://openalex.org/W2560547481","https://openalex.org/W2594519801","https://openalex.org/W2613718673","https://openalex.org/W2772736377","https://openalex.org/W2810259310","https://openalex.org/W2922569965","https://openalex.org/W2938515563","https://openalex.org/W2942535661","https://openalex.org/W2947512915","https://openalex.org/W2962708126","https://openalex.org/W2963150697","https://openalex.org/W2995431773","https://openalex.org/W3101633104","https://openalex.org/W3105684258","https://openalex.org/W3119866963","https://openalex.org/W3146186587","https://openalex.org/W3150517674","https://openalex.org/W4300152993","https://openalex.org/W6620707391","https://openalex.org/W6698183232","https://openalex.org/W6730294953","https://openalex.org/W6761496447","https://openalex.org/W6772211357","https://openalex.org/W6786184375","https://openalex.org/W6787888144","https://openalex.org/W6793336225"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2027972911","https://openalex.org/W2146343568","https://openalex.org/W2013643406","https://openalex.org/W2157978810","https://openalex.org/W2597809628","https://openalex.org/W3046370962"],"abstract_inverted_index":{"Diffracted":[0],"scattering":[1],"and":[2,11],"occlusion":[3],"are":[4],"important":[5],"acoustic":[6],"effects":[7],"in":[8],"interactive":[9],"auralization":[10],"noise":[12],"control":[13],"applications,":[14],"typically":[15],"requiring":[16],"expensive":[17],"numerical":[18],"simulation.":[19,80],"We":[20,44],"propose":[21],"training":[22],"a":[23,30,35,48,64],"convolutional":[24],"neural":[25],"network":[26,51],"to":[27,34,77],"map":[28],"from":[29],"convex":[31],"scatterer's":[32],"cross-section":[33],"2D":[36],"slice":[37],"of":[38,67],"the":[39,53],"resulting":[40,54],"spatial":[41],"loudness":[42,61],"distribution.":[43],"show":[45],"that":[46],"employing":[47],"full-resolution":[49],"residual":[50],"for":[52],"image-to-image":[55],"regression":[56],"problem":[57],"yields":[58],"spatially":[59],"detailed":[60],"fields":[62],"with":[63],"root-mean-squared":[65],"error":[66],"less":[68],"than":[69],"1":[70],"dB,":[71],"at":[72],"over":[73],"100x":[74],"speedup":[75],"compared":[76],"full":[78],"wave":[79]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}