{"id":"https://openalex.org/W4382407310","doi":"https://doi.org/10.1109/tvcg.2023.3282802","title":"GPA-Net:No-Reference Point Cloud Quality Assessment With Multi-Task Graph Convolutional Network","display_name":"GPA-Net:No-Reference Point Cloud Quality Assessment With Multi-Task Graph Convolutional Network","publication_year":2023,"publication_date":"2023-06-28","ids":{"openalex":"https://openalex.org/W4382407310","doi":"https://doi.org/10.1109/tvcg.2023.3282802","pmid":"https://pubmed.ncbi.nlm.nih.gov/37379183"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2023.3282802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2023.3282802","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5053260512","display_name":"Ziyu Shan","orcid":"https://orcid.org/0000-0002-3346-4261"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ziyu Shan","raw_affiliation_strings":["Cooperative Media Innovation Center, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Cooperative Media Innovation Center, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091369808","display_name":"Qi Yang","orcid":"https://orcid.org/0000-0002-4274-3457"},"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":"Qi Yang","raw_affiliation_strings":["Tencent Media Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Media Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100728766","display_name":"Rui Ye","orcid":"https://orcid.org/0009-0007-5998-8200"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Ye","raw_affiliation_strings":["Cooperative Media Innovation Center, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Cooperative Media Innovation Center, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100412279","display_name":"Yujie Zhang","orcid":"https://orcid.org/0000-0002-5534-0198"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Zhang","raw_affiliation_strings":["Cooperative Media Innovation Center, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Cooperative Media Innovation Center, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033545333","display_name":"Yiling Xu","orcid":"https://orcid.org/0000-0002-4942-5232"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiling Xu","raw_affiliation_strings":["Cooperative Media Innovation Center, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Cooperative Media Innovation Center, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102847146","display_name":"Xiaozhong Xu","orcid":"https://orcid.org/0000-0002-1309-5470"},"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":"Xiaozhong Xu","raw_affiliation_strings":["Tencent Media Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Media Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100449791","display_name":"Shan Liu","orcid":"https://orcid.org/0000-0003-1847-8769"},"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":"Shan Liu","raw_affiliation_strings":["Tencent Media Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Media Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5053260512"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":16.2727,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.99764298,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"30","issue":"8","first_page":"4955","last_page":"4967"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9994000196456909,"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":0.9994000196456909,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9886000156402588,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.972100019454956,"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/computer-science","display_name":"Computer science","score":0.841860830783844},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.710649847984314},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6835341453552246},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5606355667114258},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49551212787628174},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.4504871070384979},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.44575855135917664},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4108377695083618},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35199427604675293},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33376550674438477},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.31347066164016724}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.841860830783844},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.710649847984314},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6835341453552246},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5606355667114258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49551212787628174},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.4504871070384979},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.44575855135917664},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4108377695083618},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35199427604675293},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33376550674438477},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.31347066164016724},{"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2023.3282802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2023.3282802","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:37379183","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37379183","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on visualization and computer graphics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6592691115","display_name":null,"funder_award_id":"61971282","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8252004906","display_name":null,"funder_award_id":"U20A20185","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1920022804","https://openalex.org/W1972485825","https://openalex.org/W2046119925","https://openalex.org/W2151148091","https://openalex.org/W2187089797","https://openalex.org/W2321545007","https://openalex.org/W2568938229","https://openalex.org/W2742710256","https://openalex.org/W2793293836","https://openalex.org/W2893723229","https://openalex.org/W2905544027","https://openalex.org/W2963231572","https://openalex.org/W2963430933","https://openalex.org/W2963509914","https://openalex.org/W2970302264","https://openalex.org/W2979750740","https://openalex.org/W2981199548","https://openalex.org/W2990613095","https://openalex.org/W2997014615","https://openalex.org/W3008534420","https://openalex.org/W3012143260","https://openalex.org/W3015751022","https://openalex.org/W3032119513","https://openalex.org/W3032945845","https://openalex.org/W3035398346","https://openalex.org/W3084486342","https://openalex.org/W3089941607","https://openalex.org/W3090476588","https://openalex.org/W3094394107","https://openalex.org/W3106637222","https://openalex.org/W3109895324","https://openalex.org/W3111487461","https://openalex.org/W3114811247","https://openalex.org/W3138950021","https://openalex.org/W3141797743","https://openalex.org/W3174069367","https://openalex.org/W3183144290","https://openalex.org/W3190212754","https://openalex.org/W3207150002","https://openalex.org/W3211374646","https://openalex.org/W4200634525","https://openalex.org/W4214521144","https://openalex.org/W4280612922","https://openalex.org/W4282813785","https://openalex.org/W4288084829","https://openalex.org/W4297330272","https://openalex.org/W4304758157","https://openalex.org/W4385245566","https://openalex.org/W4394671432","https://openalex.org/W6634785889","https://openalex.org/W6637373629","https://openalex.org/W6687484953","https://openalex.org/W6739778489","https://openalex.org/W6763422710","https://openalex.org/W6779140068","https://openalex.org/W6781568228"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W2591697403","https://openalex.org/W2944728705","https://openalex.org/W4223488648","https://openalex.org/W2904022177","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W3137866197","https://openalex.org/W2741749319"],"abstract_inverted_index":{"With":[0],"the":[1,20,30,68,93,112,131,136,158,182,191,219,239,244],"rapid":[2],"development":[3],"of":[4,96,184,195,221],"3D":[5,14],"vision,":[6],"point":[7,23,45,70,97],"cloud":[8,24,46,71],"has":[9,25,50],"become":[10],"an":[11],"increasingly":[12],"popular":[13],"visual":[15],"media":[16],"content.":[17],"Due":[18],"to":[19,29,55,90,92,122,217,243],"irregular":[21,94],"structure,":[22],"posed":[26],"novel":[27,153],"challenges":[28],"related":[31],"research,":[32],"such":[33,102,116],"as":[34,103,117],"compression,":[35],"transmission,":[36],"rendering":[37],"and":[38,105,111,135,144,186,201,207,226],"quality":[39,47],"assessment.":[40],"In":[41,147],"these":[42],"latest":[43],"researches,":[44],"assessment":[48],"(PCQA)":[49],"attracted":[51],"wide":[52],"attention":[53],"due":[54],"its":[56],"significant":[57],"role":[58],"in":[59,64,255],"guiding":[60],"practical":[61],"applications,":[62],"especially":[63],"many":[65],"cases":[66],"where":[67],"reference":[69],"is":[72],"unavailable.":[73],"However,":[74],"current":[75],"no-reference":[76,154,246],"metrics":[77,254],"which":[78,179],"based":[79],"on":[80,231],"prevalent":[81],"deep":[82],"neural":[83],"network":[84,162],"have":[85],"apparent":[86],"disadvantages.":[87],"For":[88],"example,":[89],"adapt":[91],"structure":[95,185],"cloud,":[98],"they":[99,128],"require":[100],"preprocessing":[101],"voxelization":[104],"projection":[106],"that":[107,138,236],"introduce":[108],"extra":[109],"distortions,":[110],"applied":[113],"grid-kernel":[114],"networks,":[115],"Convolutional":[118],"Neural":[119],"Networks,":[120],"fail":[121],"extract":[123,165],"effective":[124,166],"distortion-related":[125],"features.":[126],"Besides,":[127],"rarely":[129],"consider":[130],"various":[132],"distortion":[133],"patterns":[134],"philosophy":[137],"PCQA":[139,155,161,247],"should":[140],"exhibit":[141],"shift,":[142,224],"scaling,":[143],"rotation":[145,227],"invariance.":[146],"this":[148],"paper,":[149],"we":[150,170,189,211],"propose":[151,171,190,212],"a":[152,172,213],"metric":[156],"named":[157],"Graph":[159],"convolutional":[160],"(GPA-Net).":[163],"To":[164],"features":[167],"for":[168],"PCQA,":[169],"new":[173],"graph":[174],"convolution":[175],"kernel,":[176],"i.e.,":[177],"GPAConv,":[178],"attentively":[180],"captures":[181],"perturbation":[183],"texture.":[187],"Then,":[188],"multi-task":[192],"framework":[193],"consisting":[194],"one":[196],"main":[197],"task":[198],"(quality":[199],"regression)":[200],"two":[202,232],"auxiliary":[203],"tasks":[204],"(distortion":[205],"type":[206],"degree":[208],"predictions).":[209],"Finally,":[210],"coordinate":[214],"normalization":[215],"module":[216],"stabilize":[218],"results":[220,230],"GPAConv":[222],"under":[223],"scale":[225],"transformations.":[228],"Experimental":[229],"independent":[233],"databases":[234],"show":[235],"GPA-Net":[237],"achieves":[238],"best":[240],"performance":[241],"compared":[242],"state-of-the-art":[245],"metrics,":[248],"even":[249],"better":[250],"than":[251],"some":[252,256],"full-reference":[253],"cases.":[257]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":37},{"year":2024,"cited_by_count":30},{"year":2023,"cited_by_count":4}],"updated_date":"2026-04-04T08:04:53.788161","created_date":"2025-10-10T00:00:00"}
