{"id":"https://openalex.org/W4376852297","doi":"https://doi.org/10.1145/3573942.3574093","title":"3D Point Cloud Denoising Based on Hybrid Attention Mechanism and Score Matching","display_name":"3D Point Cloud Denoising Based on Hybrid Attention Mechanism and Score Matching","publication_year":2022,"publication_date":"2022-09-23","ids":{"openalex":"https://openalex.org/W4376852297","doi":"https://doi.org/10.1145/3573942.3574093"},"language":"en","primary_location":{"id":"doi:10.1145/3573942.3574093","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3573942.3574093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition","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/A5011991821","display_name":"Z. Wang","orcid":"https://orcid.org/0000-0001-6397-234X"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ziwei Wang","raw_affiliation_strings":["Xi'an University of Posts &amp; Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Xi'an University of Posts &amp; Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108614159","display_name":"Wei Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Sun","raw_affiliation_strings":["Xi'an University of Posts &amp; Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Xi'an University of Posts &amp; Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108837286","display_name":"Linyang Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linyang Tian","raw_affiliation_strings":["Xi'an University of Posts &amp; Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Xi'an University of Posts &amp; Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011991821"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.1654,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46143751,"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":"767","last_page":"772"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9968000054359436,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8658624887466431},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7608027458190918},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.597206711769104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.549308180809021},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5350877642631531},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5235723853111267},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.4797283709049225},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.45374733209609985},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4219413995742798},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36736780405044556},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3612179756164551},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35998794436454773},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3560844659805298},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3297796845436096},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1035771369934082},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08473002910614014},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07638397812843323}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8658624887466431},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7608027458190918},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.597206711769104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.549308180809021},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5350877642631531},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5235723853111267},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.4797283709049225},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.45374733209609985},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4219413995742798},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36736780405044556},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3612179756164551},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35998794436454773},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3560844659805298},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3297796845436096},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1035771369934082},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08473002910614014},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07638397812843323},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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:10.1145/3573942.3574093","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3573942.3574093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W940328677","https://openalex.org/W2010473040","https://openalex.org/W2546714150","https://openalex.org/W2963026027","https://openalex.org/W2963053547","https://openalex.org/W2963390820","https://openalex.org/W2963446712","https://openalex.org/W2997337685","https://openalex.org/W2998456637","https://openalex.org/W4214721726","https://openalex.org/W6600005384","https://openalex.org/W6600186770","https://openalex.org/W6600424091","https://openalex.org/W6600540558","https://openalex.org/W6604103938"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W147410782","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W3103989898","https://openalex.org/W3034924094","https://openalex.org/W3094954546"],"abstract_inverted_index":{"Due":[0],"to":[1,124,133],"the":[2,5,10,16,18,28,35,42,71,74,81,121,134,139,145,156,159,170,175,182],"limitations":[3],"of":[4,15,30,73,77,83,99,158],"acquisition":[6],"equipment,":[7],"sensors,":[8],"and":[9,33,80,89,96,114,131,143,173],"illumination":[11],"or":[12],"reflection":[13],"characteristics":[14],"ground,":[17],"acquired":[19],"point":[20,31,37,50,57,78,84,100,128],"clouds":[21,32,79],"will":[22],"inevitably":[23],"be":[24],"noisy.":[25],"Noise":[26],"degrades":[27],"quality":[29],"hinders":[34],"subsequent":[36],"cloud":[38,51,58,85,101,129],"processing":[39],"tasks,":[40],"so":[41],"denoising":[43,59,177],"technique":[44],"becomes":[45],"a":[46,56,63,108],"crucial":[47],"step":[48],"in":[49,148],"processing.":[52],"This":[53],"paper":[54],"proposes":[55],"algorithm":[60],"based":[61],"on":[62],"hybrid":[64],"attention":[65,91,105],"mechanism,":[66],"which":[67],"takes":[68],"into":[69],"account":[70],"complexity":[72],"internal":[75],"features":[76,123],"randomness":[82],"transformations.":[86],"Generates":[87],"channel":[88],"spatial":[90],"by":[92],"parallel":[93],"maximum":[94],"pooling":[95,98],"average":[97],"data,":[102],"trains":[103],"adaptive":[104],"weights":[106],"using":[107,138],"multilayer":[109],"perceptron":[110],"with":[111,120],"shared":[112],"weights,":[113],"serially":[115],"fuses":[116],"them,":[117],"multiplies":[118],"them":[119],"input":[122],"obtain":[125],"more":[126],"robust":[127],"features,":[130],"connect":[132],"score":[135],"estimation":[136],"module":[137],"residuals.":[140],"By":[141],"studying":[142],"analyzing":[144],"mechanism":[146],"proposed":[147,160],"this":[149],"paper,":[150],"it":[151],"is":[152,166],"experimentally":[153],"demonstrated":[154],"that":[155],"performance":[157],"model":[161],"under":[162],"various":[163],"noise":[164],"models":[165],"vastly":[167],"improved":[168],"over":[169],"baseline":[171],"network":[172,183],"outperforms":[174],"advanced":[176],"methods":[178],"without":[179],"significantly":[180],"increasing":[181],"operation":[184],"cost.":[185]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
