{"id":"https://openalex.org/W4406861257","doi":"https://doi.org/10.1109/vcip63160.2024.10849879","title":"PointCU: Multiscale Sparse Convolutional Learning for Point Cloud Color Upsampling","display_name":"PointCU: Multiscale Sparse Convolutional Learning for Point Cloud Color Upsampling","publication_year":2024,"publication_date":"2024-12-08","ids":{"openalex":"https://openalex.org/W4406861257","doi":"https://doi.org/10.1109/vcip63160.2024.10849879"},"language":"en","primary_location":{"id":"doi:10.1109/vcip63160.2024.10849879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip63160.2024.10849879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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/A5036691509","display_name":"Birendra Kathariya","orcid":"https://orcid.org/0000-0001-9297-8978"},"institutions":[{"id":"https://openalex.org/I75421653","display_name":"University of Missouri\u2013Kansas City","ror":"https://ror.org/01w0d5g70","country_code":"US","type":"education","lineage":["https://openalex.org/I75421653"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Birendra Kathariya","raw_affiliation_strings":["University of Missouri-Kansas City,Kansas City,USA"],"affiliations":[{"raw_affiliation_string":"University of Missouri-Kansas City,Kansas City,USA","institution_ids":["https://openalex.org/I75421653"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116047628","display_name":"Anique Akthar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210087596","display_name":"Qualcomm (United States)","ror":"https://ror.org/002zrf773","country_code":"US","type":"company","lineage":["https://openalex.org/I4210087596"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anique Akthar","raw_affiliation_strings":["Qualcomm,San Diego,USA"],"affiliations":[{"raw_affiliation_string":"Qualcomm,San Diego,USA","institution_ids":["https://openalex.org/I4210087596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100556775","display_name":"Li Zhu","orcid":"https://orcid.org/0009-0003-4453-6165"},"institutions":[{"id":"https://openalex.org/I75421653","display_name":"University of Missouri\u2013Kansas City","ror":"https://ror.org/01w0d5g70","country_code":"US","type":"education","lineage":["https://openalex.org/I75421653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhu Li","raw_affiliation_strings":["University of Missouri-Kansas City,Kansas City,USA"],"affiliations":[{"raw_affiliation_string":"University of Missouri-Kansas City,Kansas City,USA","institution_ids":["https://openalex.org/I75421653"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083485280","display_name":"Geert Van der Auwera","orcid":"https://orcid.org/0000-0001-7791-4829"},"institutions":[{"id":"https://openalex.org/I4210087596","display_name":"Qualcomm (United States)","ror":"https://ror.org/002zrf773","country_code":"US","type":"company","lineage":["https://openalex.org/I4210087596"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Geert Van Der Auwera","raw_affiliation_strings":["Qualcomm,San Diego,USA"],"affiliations":[{"raw_affiliation_string":"Qualcomm,San Diego,USA","institution_ids":["https://openalex.org/I4210087596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036691509"],"corresponding_institution_ids":["https://openalex.org/I75421653"],"apc_list":null,"apc_paid":null,"fwci":0.8835,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.83427113,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9861000180244446,"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"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9861000180244446,"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":0.984499990940094,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9800000190734863,"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/upsampling","display_name":"Upsampling","score":0.8330998420715332},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7528929710388184},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6689727306365967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5478070974349976},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4713166356086731},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32721656560897827},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32446885108947754},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10148492455482483}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.8330998420715332},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7528929710388184},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6689727306365967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5478070974349976},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4713166356086731},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32721656560897827},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32446885108947754},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10148492455482483},{"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/vcip63160.2024.10849879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip63160.2024.10849879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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":17,"referenced_works":["https://openalex.org/W2137531922","https://openalex.org/W2963125977","https://openalex.org/W2963182550","https://openalex.org/W2979750740","https://openalex.org/W2985655328","https://openalex.org/W3015436753","https://openalex.org/W3109585842","https://openalex.org/W3174025609","https://openalex.org/W3207658203","https://openalex.org/W4229045116","https://openalex.org/W4282928804","https://openalex.org/W4387490618","https://openalex.org/W4402915990","https://openalex.org/W6739778489","https://openalex.org/W6763422710","https://openalex.org/W6843214341","https://openalex.org/W6849097266"],"related_works":["https://openalex.org/W2062399876","https://openalex.org/W2607795551","https://openalex.org/W3155117723","https://openalex.org/W1991429770","https://openalex.org/W1983892167","https://openalex.org/W2281134365","https://openalex.org/W4310746709","https://openalex.org/W4386075645","https://openalex.org/W4385574037","https://openalex.org/W3176213335"],"abstract_inverted_index":{"Upsampling":[0,93],"a":[1,6,29,57,79,86,114,209],"sparse":[2,30,87,103,128,154],"point":[3,31,72,99,104,116,133,138,150],"cloud":[4,32,91,117,139,151],"is":[5,85,199],"common":[7],"operation":[8],"in":[9,45],"various":[10],"applications,":[11],"such":[12,35,54],"as":[13,36],"high-quality":[14],"reconstruction,":[15],"rendering.":[16],"Point-cloud":[17],"geometry":[18],"upsampling":[19,39,187,193,206],"has":[20],"been":[21],"extensively":[22],"studied":[23],"for":[24],"this":[25,75],"purpose.":[26],"However,":[27],"when":[28],"includes":[33],"attributes,":[34],"color,":[37],"their":[38],"must":[40],"also":[41,160],"be":[42],"carried":[43],"out":[44],"addition":[46],"to":[47,129,166,201],"geometry.":[48],"Despite":[49],"the":[50,125,130,136,164,191,196,202],"apparent":[51],"need":[52],"of":[53,59,113,195],"work,":[55,76],"not":[56],"lot":[58],"effective":[60],"solutions":[61],"are":[62],"developed":[63],"that":[64,95,190],"can":[65],"work":[66],"with":[67],"real":[68],"world":[69],"large":[70,210],"scale":[71],"cloud.":[73],"In":[74],"we":[77],"propose":[78],"novel":[80],"solution":[81],"called":[82],"PointCU,":[83],"which":[84],"convolution":[88,155],"learning-based":[89],"Point":[90],"Color":[92],"method":[94,108,198],"enables":[96],"high-fidelity":[97],"dense":[98,115,137],"color":[100,126,173,192,205],"reconstruction":[101],"from":[102,127],"color.":[105],"The":[106],"proposed":[107,197],"first":[109],"prepares":[110],"multiple":[111,149],"representations":[112],"through":[118,141,153],"voxelization":[119],"at":[120],"different":[121],"scales,":[122],"then":[123],"transfers":[124],"newly":[131],"created":[132],"clouds":[134],"including":[135],"itself":[140],"devoxelization.":[142],"Then":[143],"by":[144,208],"learning":[145],"feature":[146,165],"on":[147,179],"these":[148],"representation":[152],"neural":[156],"network":[157],"(SparseCNN)":[158],"while":[159],"expanding":[161],"and":[162,183],"fusing":[163],"higher":[167],"scale,":[168],"PointCU":[169],"achieves":[170],"an":[171],"excellent":[172],"super-resolving":[174],"capability.":[175],"Our":[176],"experimental":[177],"results":[178],"four":[180],"times":[181,185],"(4x)":[182],"eight":[184],"(8x)":[186],"tasks":[188],"demonstrate":[189],"performance":[194],"superior":[200],"previous":[203],"known":[204],"schemes":[207],"margin.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
