{"id":"https://openalex.org/W4366601947","doi":"https://doi.org/10.1109/tpami.2023.3268305","title":"Variational Relational Point Completion Network for Robust 3D Classification","display_name":"Variational Relational Point Completion Network for Robust 3D Classification","publication_year":2023,"publication_date":"2023-04-21","ids":{"openalex":"https://openalex.org/W4366601947","doi":"https://doi.org/10.1109/tpami.2023.3268305","pmid":"https://pubmed.ncbi.nlm.nih.gov/37083514"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2023.3268305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3268305","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","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/A5100612025","display_name":"Liang Pan","orcid":"https://orcid.org/0000-0003-1821-4296"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Liang Pan","raw_affiliation_strings":["S-Lab, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"S-Lab, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100457120","display_name":"Xinyi Chen","orcid":"https://orcid.org/0009-0003-5797-7111"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xinyi Chen","raw_affiliation_strings":["S-Lab, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"S-Lab, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054947207","display_name":"Zhongang Cai","orcid":"https://orcid.org/0000-0002-1810-3855"},"institutions":[{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]},{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongang Cai","raw_affiliation_strings":["SenseTime Research, Hong Kong","Shanghai AI Lab, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"SenseTime Research, Hong Kong","institution_ids":["https://openalex.org/I4210128910"]},{"raw_affiliation_string":"Shanghai AI Lab, Shanghai, China","institution_ids":["https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101956300","display_name":"Junzhe Zhang","orcid":"https://orcid.org/0000-0003-1931-8046"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]},{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["CN","SG"],"is_corresponding":false,"raw_author_name":"Junzhe Zhang","raw_affiliation_strings":["S-Lab, Nanyang Technological University, Singapore","SenseTime Research, Hong Kong"],"affiliations":[{"raw_affiliation_string":"S-Lab, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"SenseTime Research, Hong Kong","institution_ids":["https://openalex.org/I4210128910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103190281","display_name":"Haiyu Zhao","orcid":"https://orcid.org/0000-0002-0415-4248"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyu Zhao","raw_affiliation_strings":["SenseTime Research, Hong Kong","Shanghai AI Lab, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"SenseTime Research, Hong Kong","institution_ids":["https://openalex.org/I4210128910"]},{"raw_affiliation_string":"Shanghai AI Lab, Shanghai, China","institution_ids":["https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101696728","display_name":"Shuai Yi","orcid":"https://orcid.org/0000-0002-1253-6633"},"institutions":[{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]},{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Yi","raw_affiliation_strings":["SenseTime Research, Hong Kong","Shanghai AI Lab, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"SenseTime Research, Hong Kong","institution_ids":["https://openalex.org/I4210128910"]},{"raw_affiliation_string":"Shanghai AI Lab, Shanghai, China","institution_ids":["https://openalex.org/I4391012619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100406050","display_name":"Ziwei Liu","orcid":"https://orcid.org/0000-0002-4220-5958"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ziwei Liu","raw_affiliation_strings":["S-Lab, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"S-Lab, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100612025"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":4.3305,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.95536128,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"45","issue":"9","first_page":"11340","last_page":"11351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.995199978351593,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.991100013256073,"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/point-cloud","display_name":"Point cloud","score":0.8596504926681519},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6847642660140991},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6497774124145508},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5896247625350952},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5268498659133911},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.48100003600120544},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4318675398826599},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.41459885239601135},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34962427616119385},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3437747061252594},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1901281177997589}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8596504926681519},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6847642660140991},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6497774124145508},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5896247625350952},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5268498659133911},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.48100003600120544},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4318675398826599},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.41459885239601135},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34962427616119385},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3437747061252594},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1901281177997589},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2023.3268305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3268305","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:37083514","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37083514","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 pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:dr.ntu.edu.sg:10356/172185","is_oa":false,"landing_page_url":"https://hdl.handle.net/10356/172185","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G5757379680","display_name":null,"funder_award_id":"MOE AcRF Tier 2 (MOE-T2EP20221-0012)","funder_id":"https://openalex.org/F4320320751","funder_display_name":"Ministry of Education - Singapore"}],"funders":[{"id":"https://openalex.org/F4320320751","display_name":"Ministry of Education - Singapore","ror":"https://ror.org/01kcva023"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1591870335","https://openalex.org/W1644641054","https://openalex.org/W1686810756","https://openalex.org/W1920022804","https://openalex.org/W1992642990","https://openalex.org/W1995756857","https://openalex.org/W2061987443","https://openalex.org/W2150066425","https://openalex.org/W2194775991","https://openalex.org/W2337420161","https://openalex.org/W2559882727","https://openalex.org/W2560609797","https://openalex.org/W2594519801","https://openalex.org/W2618530766","https://openalex.org/W2738551266","https://openalex.org/W2793479075","https://openalex.org/W2796426482","https://openalex.org/W2886499109","https://openalex.org/W2922509574","https://openalex.org/W2944579304","https://openalex.org/W2949718784","https://openalex.org/W2953668091","https://openalex.org/W2958073455","https://openalex.org/W2962731536","https://openalex.org/W2963121255","https://openalex.org/W2963231572","https://openalex.org/W2963255313","https://openalex.org/W2963523109","https://openalex.org/W2979750740","https://openalex.org/W2983446232","https://openalex.org/W2990613095","https://openalex.org/W2997088169","https://openalex.org/W3010623357","https://openalex.org/W3010797203","https://openalex.org/W3025708905","https://openalex.org/W3034493208","https://openalex.org/W3034885317","https://openalex.org/W3035014292","https://openalex.org/W3108012830","https://openalex.org/W3109518641","https://openalex.org/W3153465022","https://openalex.org/W3203898101","https://openalex.org/W4221142172","https://openalex.org/W4298395628","https://openalex.org/W4362692015","https://openalex.org/W4394671432","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6640300118","https://openalex.org/W6649382811","https://openalex.org/W6687484953","https://openalex.org/W6739778489","https://openalex.org/W6749579967","https://openalex.org/W6763422710","https://openalex.org/W6766586516","https://openalex.org/W6788305448","https://openalex.org/W6793697131","https://openalex.org/W6809396041","https://openalex.org/W6839916927"],"related_works":["https://openalex.org/W3016928466","https://openalex.org/W4389574804","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W2295788148","https://openalex.org/W1578717197","https://openalex.org/W3108295644","https://openalex.org/W2626737336","https://openalex.org/W2005998065","https://openalex.org/W1519058190"],"abstract_inverted_index":{"Real-scanned":[0],"point":[1,20,63,95,102,112,135,139,146,164,203,216,228],"clouds":[2,96,229],"are":[3],"often":[4],"incomplete":[5],"due":[6],"to":[7,25,81,143],"viewpoint,":[8],"occlusion,":[9],"and":[10,17,30,88,138,168,212],"noise,":[11],"which":[12,148,176,235],"hampers":[13],"3D":[14,179,189,224],"geometric":[15],"modeling":[16,85],"perception.":[18],"Existing":[19],"cloud":[21,165,204,217],"completion":[22,205],"methods":[23,199],"tend":[24],"generate":[26],"global":[27],"shape":[28,151],"skeletons":[29],"hence":[31],"lack":[32],"fine":[33],"local":[34,150],"details.":[35],"Furthermore,":[36],"they":[37],"mostly":[38],"learn":[39],"a":[40,58,78,101],"deterministic":[41],"partial-to-complete":[42],"mapping,":[43],"but":[44],"overlook":[45],"structural":[46],"relations":[47],"in":[48],"man-made":[49],"objects.":[50],"To":[51],"tackle":[52],"these":[53],"challenges,":[54],"this":[55],"paper":[56],"proposes":[57],"variational":[59],"framework,":[60],"Variational":[61],"Relational":[62,129],"Completion":[64],"network":[65],"(VRCNet)":[66],"with":[67,230],"two":[68],"appealing":[69],"properties:":[70],"1)":[71],"Probabilistic":[72],"Modeling.":[73],"In":[74,158],"particular,":[75],"we":[76,132,160,220],"propose":[77],"dual-path":[79],"architecture":[80],"enable":[82],"principled":[83],"probabilistic":[84],"across":[86],"partial":[87,111,163,178,227],"complete":[89,94,108],"clouds.":[90],"One":[91],"path":[92,106,125],"consumes":[93],"for":[97,110,187,226],"reconstruction":[98,124],"by":[99,119],"learning":[100],"VAE.":[103],"The":[104],"other":[105],"generates":[107],"shapes":[109,180],"clouds,":[113],"whose":[114],"embedded":[115],"distribution":[116,120],"is":[117],"guided":[118],"obtained":[121],"from":[122,181],"the":[123,155,231],"during":[126],"training.":[127],"2)":[128],"Enhancement.":[130],"Specifically,":[131],"carefully":[133],"design":[134],"self-attention":[136],"kernel":[137,141],"selective":[140],"module":[142],"exploit":[144],"relational":[145],"features,":[147],"refines":[149],"details":[152],"conditioned":[153],"on":[154,200,214],"coarse":[156],"completion.":[157],"addition,":[159],"contribute":[161],"multi-view":[162],"datasets":[166],"(MVP":[167],"MVP-40":[169],"dataset)":[170],"containing":[171],"over":[172],"200,000":[173],"high-quality":[174],"scans,":[175],"render":[177],"26":[182],"uniformly":[183],"distributed":[184],"camera":[185],"poses":[186],"each":[188],"CAD":[190],"model.":[191],"Extensive":[192],"experiments":[193],"demonstrate":[194],"that":[195],"VRCNet":[196,208],"outperforms":[197],"state-of-the-art":[198],"all":[201],"standard":[202],"benchmarks.":[206],"Notably,":[207],"shows":[209],"great":[210],"generalizability":[211],"robustness":[213],"real-world":[215],"scans.":[218],"Moreover,":[219],"can":[221,236],"achieve":[222],"robust":[223],"classification":[225,239],"help":[232],"of":[233],"VRCNet,":[234],"highly":[237],"increase":[238],"accuracy.":[240]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}