{"id":"https://openalex.org/W3127013332","doi":"https://doi.org/10.1109/3dv50981.2020.00031","title":"Global Context Aware Convolutions for 3D Point Cloud Understanding","display_name":"Global Context Aware Convolutions for 3D Point Cloud Understanding","publication_year":2020,"publication_date":"2020-11-01","ids":{"openalex":"https://openalex.org/W3127013332","doi":"https://doi.org/10.1109/3dv50981.2020.00031","mag":"3127013332"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv50981.2020.00031","pdf_url":null,"source":{"id":"https://openalex.org/S4363608458","display_name":"2021 International Conference on 3D Vision (3DV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ink.library.smu.edu.sg/context/sis_research/article/8944/viewcontent/812800a210.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014625391","display_name":"Zhiyuan Zhang","orcid":"https://orcid.org/0000-0003-3945-5638"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiyuan Zhang","raw_affiliation_strings":["Litemaze Technology"],"affiliations":[{"raw_affiliation_string":"Litemaze Technology","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028533837","display_name":"Binh\u2010Son Hua","orcid":"https://orcid.org/0000-0002-5706-8634"},"institutions":[{"id":"https://openalex.org/I4210142044","display_name":"VinUniversity","ror":"https://ror.org/052dmdr17","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210142044"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Binh-Son Hua","raw_affiliation_strings":["VinAI Research, Vietnam","VinUniversity, Vietnam"],"affiliations":[{"raw_affiliation_string":"VinUniversity, Vietnam","institution_ids":["https://openalex.org/I4210142044"]},{"raw_affiliation_string":"VinAI Research, Vietnam","institution_ids":["https://openalex.org/I4210142044"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100344294","display_name":"Wei Chen","orcid":"https://orcid.org/0000-0001-5090-9915"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Chen","raw_affiliation_strings":["Litemaze Technology"],"affiliations":[{"raw_affiliation_string":"Litemaze Technology","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102632157","display_name":"Yibin Tian","orcid":"https://orcid.org/0009-0008-4590-8318"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yibin Tian","raw_affiliation_strings":["Litemaze Technology"],"affiliations":[{"raw_affiliation_string":"Litemaze Technology","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027689970","display_name":"Sai-Kit Yeung","orcid":"https://orcid.org/0000-0001-7974-0607"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"funder","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"funder","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Sai-Kit Yeung","raw_affiliation_strings":["Hong Kong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.475,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.953434,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998,"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":0.9998,"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":0.998,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9887,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.72581565}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.85033834},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.72581565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.63677716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.54982144},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.5324451},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.53226984},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5196687},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46501},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.46399802},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.42983764},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36503923},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25558478},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.17229992},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.098095655},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv50981.2020.00031","pdf_url":null,"source":{"id":"https://openalex.org/S4363608458","display_name":"2021 International Conference on 3D Vision (3DV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://ink.library.smu.edu.sg/context/sis_research/article/8944/viewcontent/812800a210.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401925","display_name":"Singapore Management University Institutional Knowledge (InK) (Singapore Management University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":["Singapore Management University"],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://ink.library.smu.edu.sg/sis_research/7941","pdf_url":null,"source":{"id":"https://openalex.org/S4306401925","display_name":"Singapore Management University Institutional Knowledge (InK) (Singapore Management University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":["Singapore Management University"],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2008.02986","pdf_url":"https://arxiv.org/pdf/2008.02986","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://ink.library.smu.edu.sg/context/sis_research/article/8944/viewcontent/812800a210.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401925","display_name":"Singapore Management University Institutional Knowledge (InK) (Singapore Management University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":["Singapore Management University"],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"score":0.73,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":44,"referenced_works":["https://openalex.org/W1644641054","https://openalex.org/W1920022804","https://openalex.org/W2160643963","https://openalex.org/W2161875285","https://openalex.org/W2190691619","https://openalex.org/W2211722331","https://openalex.org/W2342223463","https://openalex.org/W2394951287","https://openalex.org/W2460657278","https://openalex.org/W2553307952","https://openalex.org/W2556802233","https://openalex.org/W2560609797","https://openalex.org/W2563685048","https://openalex.org/W2594519801","https://openalex.org/W2612326916","https://openalex.org/W2737234477","https://openalex.org/W2795374598","https://openalex.org/W2796422723","https://openalex.org/W2889300857","https://openalex.org/W2902302021","https://openalex.org/W2919115771","https://openalex.org/W2948107928","https://openalex.org/W2948196881","https://openalex.org/W2953384591","https://openalex.org/W2962731536","https://openalex.org/W2962928871","https://openalex.org/W2963121255","https://openalex.org/W2963158438","https://openalex.org/W2963509914","https://openalex.org/W2964027736","https://openalex.org/W2979750740","https://openalex.org/W2981440248","https://openalex.org/W2981487534","https://openalex.org/W2981983525","https://openalex.org/W2982319484","https://openalex.org/W2982589786","https://openalex.org/W2998658430","https://openalex.org/W3001493650","https://openalex.org/W3039448353","https://openalex.org/W3083490711","https://openalex.org/W3104141662","https://openalex.org/W3163282598","https://openalex.org/W4394671432","https://openalex.org/W603908379"],"related_works":["https://openalex.org/W4389574804","https://openalex.org/W4293226380","https://openalex.org/W3150655618","https://openalex.org/W3108295644","https://openalex.org/W3019910406","https://openalex.org/W3016928466","https://openalex.org/W2964954556","https://openalex.org/W2936725271","https://openalex.org/W2295788148","https://openalex.org/W1578717197"],"abstract_inverted_index":{"Recent":[0,48],"advances":[1],"in":[2,13,30,138,142,156],"deep":[3],"learning":[4],"for":[5],"3D":[6,26,46],"point":[7,27,57,87,93,122,140,146,186],"clouds":[8,28],"have":[9,39],"shown":[10],"great":[11],"promises":[12],"scene":[14],"understanding":[15],"tasks":[16],"thanks":[17],"to":[18,24,55,86,124,159,170,196],"the":[19,120,125,144,172],"introduction":[20],"of":[21],"convolution":[22,95,108,165],"operators":[23],"consume":[25],"directly":[29],"a":[31,80,106,130],"neural":[32],"network.":[33],"Point":[34],"cloud":[35,58,94,123,187],"data,":[36],"however,":[37],"could":[38],"arbitrary":[40],"rotations,":[41],"especially":[42],"those":[43],"acquired":[44],"from":[45,119],"scanning.":[47],"works":[49],"show":[50],"that":[51,79,84,110],"it":[52],"is":[53,83,136,148],"possible":[54],"design":[56],"convolutions":[59],"with":[60],"rotation":[61],"invariance":[62],"property,":[63],"but":[64],"such":[65],"methods":[66],"generally":[67],"do":[68],"not":[69,97],"perform":[70],"as":[71,73,98],"well":[72],"translation-invariant":[74],"only":[75],"convolution.":[76,126],"We":[77,181],"found":[78],"key":[81],"reason":[82],"compared":[85],"coordinates,":[88],"rotation-invariant":[89,179],"features":[90,176],"consumed":[91],"by":[92,114],"are":[96,154],"distinctive.":[99],"To":[100,127],"address":[101],"this":[102,128],"problem,":[103],"we":[104],"propose":[105],"novel":[107],"operator":[109],"enhances":[111],"feature":[112],"distinction":[113],"integrating":[115],"global":[116,161],"context":[117],"information":[118],"input":[121],"end,":[129],"globally":[131],"weighted":[132],"local":[133,145],"reference":[134],"frame":[135],"constructed":[137],"each":[139,157],"neighborhood":[141],"which":[143,200],"set":[147],"decomposed":[149],"into":[150,177],"bins.":[151],"Anchor":[152],"points":[153,173],"generated":[155],"bin":[158],"represent":[160],"shape":[162,191],"features.":[163,180],"A":[164],"can":[166],"then":[167],"be":[168],"performed":[169],"transform":[171],"and":[174,193],"anchor":[175],"final":[178],"conduct":[182],"several":[183],"experiments":[184],"on":[185],"classification,":[188],"part":[189],"segmentation,":[190],"retrieval,":[192],"normals":[194],"estimation":[195],"evaluate":[197],"our":[198],"convolution,":[199],"achieves":[201],"state-of-the-art":[202],"accuracy":[203],"under":[204],"challenging":[205],"rotations.":[206]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3127013332","counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3}],"updated_date":"2025-04-24T18:53:19.636601","created_date":"2021-02-15"}