{"id":"https://openalex.org/W4388280155","doi":"https://doi.org/10.1109/icbase59196.2023.10303185","title":"Transformer-based Point Cloud Denoising Network","display_name":"Transformer-based Point Cloud Denoising Network","publication_year":2023,"publication_date":"2023-08-25","ids":{"openalex":"https://openalex.org/W4388280155","doi":"https://doi.org/10.1109/icbase59196.2023.10303185"},"language":"en","primary_location":{"id":"doi:10.1109/icbase59196.2023.10303185","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icbase59196.2023.10303185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE)","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/A5100372769","display_name":"Junbo Wang","orcid":"https://orcid.org/0000-0002-9776-1441"},"institutions":[{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junbo Wang","raw_affiliation_strings":["Jilin University,School of Computer Science and Technology,Changchun,China","School of Computer Science and Technology, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Jilin University,School of Computer Science and Technology,Changchun,China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]},{"raw_affiliation_string":"School of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100785616","display_name":"Ying Li","orcid":"https://orcid.org/0000-0001-5112-0940"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Li","raw_affiliation_strings":["Jilin University,School of Computer Science and Technology,Changchun,China","School of Computer Science and Technology, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Jilin University,School of Computer Science and Technology,Changchun,China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]},{"raw_affiliation_string":"School of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100372769"],"corresponding_institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14236484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"384","last_page":"388"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9994000196456909,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9994000196456909,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9980000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8400570154190063},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7784126996994019},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.75919508934021},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6309314370155334},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5101668834686279},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4772912561893463},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4486194849014282},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4349881410598755},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3974180519580841},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3717273473739624},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32861149311065674},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09784826636314392}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8400570154190063},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7784126996994019},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.75919508934021},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6309314370155334},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5101668834686279},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4772912561893463},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4486194849014282},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4349881410598755},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3974180519580841},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3717273473739624},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32861149311065674},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09784826636314392},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icbase59196.2023.10303185","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icbase59196.2023.10303185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2137531922","https://openalex.org/W2546714150","https://openalex.org/W2734351971","https://openalex.org/W2766448241","https://openalex.org/W2767053087","https://openalex.org/W2805499196","https://openalex.org/W2906788812","https://openalex.org/W2963026027","https://openalex.org/W2995063080","https://openalex.org/W2998456637","https://openalex.org/W3034124540","https://openalex.org/W3045749263","https://openalex.org/W3089927720","https://openalex.org/W3091189374","https://openalex.org/W3099141203","https://openalex.org/W3102669005","https://openalex.org/W4214721726","https://openalex.org/W4225269203"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W3150465815","https://openalex.org/W1997222214","https://openalex.org/W2802581102","https://openalex.org/W4205786897"],"abstract_inverted_index":{"Point":[0,25],"clouds":[1],"are":[2],"widely":[3],"used":[4],"for":[5,77,113,119,149],"3D":[6],"data":[7],"representation":[8],"in":[9,169],"various":[10],"applications,":[11],"but":[12],"they":[13],"often":[14],"suffer":[15],"from":[16],"different":[17],"types":[18],"of":[19,31,65,174],"noise":[20,34,50],"during":[21],"acquisition":[22],"and":[23,45,88,141,157,172],"processing.":[24],"cloud":[26,79,124],"denoising":[27,75,93,102],"is":[28],"the":[29,82],"process":[30],"effectively":[32],"removing":[33],"while":[35,52],"preserving":[36],"geometric":[37],"features.":[38],"Traditional":[39],"methods":[40,168],"rely":[41],"on":[42,58,81],"handcrafted":[43],"filters":[44],"may":[46,55],"struggle":[47],"with":[48,154],"unknown":[49],"types,":[51],"learning-based":[53],"approaches":[54],"focus":[56],"primarily":[57],"local":[59,87,110,140],"information,":[60],"leading":[61],"to":[62,91,100,130,145],"potential":[63],"loss":[64],"fine":[66],"details.":[67],"In":[68],"this":[69],"paper,":[70],"we":[71],"introduce":[72],"TPCDN,":[73],"a":[74,105,117,122,134],"network":[76],"point":[78,123],"based":[80],"transformer":[83],"architecture,":[84],"which":[85],"combines":[86],"global":[89,142],"information":[90,148],"improve":[92],"performance.":[94],"TPCDN":[95,165],"leverages":[96],"three":[97],"essential":[98],"components":[99],"optimize":[101],"performance:":[103],"(1)":[104],"feature":[106,135],"extraction":[107],"module":[108,126,137],"captures":[109,127],"features":[111],"adaptively":[112],"each":[114],"point,":[115],"providing":[116],"foundation":[118],"denoising;":[120,132],"(2)":[121],"Transformer":[125],"long-range":[128],"dependencies":[129],"enhance":[131],"(3)":[133],"fusion":[136],"seamlessly":[138],"integrates":[139],"features,":[143],"aiming":[144],"provide":[146],"precise":[147],"denoising.":[150],"Through":[151],"rigorous":[152],"experimentation":[153],"both":[155],"synthetic":[156],"real-scanned":[158],"datasets,":[159],"it":[160],"has":[161],"been":[162],"demonstrated":[163],"that":[164],"surpasses":[166],"existing":[167],"quantitative":[170],"accuracy":[171],"preservation":[173],"structure.":[175]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}