{"id":"https://openalex.org/W2978088842","doi":"https://doi.org/10.3233/ica-190608","title":"Pointwise geometric and semantic learning network on 3D point clouds","display_name":"Pointwise geometric and semantic learning network on 3D point clouds","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2978088842","doi":"https://doi.org/10.3233/ica-190608","mag":"2978088842"},"language":"en","primary_location":{"id":"doi:10.3233/ica-190608","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ica-190608","pdf_url":null,"source":{"id":"https://openalex.org/S107631664","display_name":"Integrated Computer-Aided Engineering","issn_l":"1069-2509","issn":["1069-2509","1875-8835"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Integrated Computer-Aided Engineering","raw_type":"journal-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/A5064727229","display_name":"Dejun Zhang","orcid":"https://orcid.org/0000-0001-9129-534X"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dejun Zhang","raw_affiliation_strings":["Faculty of Information Engineering, China University of Geosciences, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering, China University of Geosciences, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100660581","display_name":"Fazhi He","orcid":"https://orcid.org/0000-0001-7016-3698"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fazhi He","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074405661","display_name":"Zhigang Tu","orcid":"https://orcid.org/0000-0001-5003-2260"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhigang Tu","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103029465","display_name":"Lu Zou","orcid":"https://orcid.org/0000-0002-2619-3475"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Zou","raw_affiliation_strings":["School of Data Science, University of Science and Technology of China, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data Science, University of Science and Technology of China, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100393623","display_name":"Yilin Chen","orcid":"https://orcid.org/0000-0001-8425-0629"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilin Chen","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064727229"],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":null,"apc_paid":null,"fwci":5.1839,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.97207372,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"27","issue":"1","first_page":"57","last_page":"75"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9987999796867371,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9959999918937683,"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/point-cloud","display_name":"Point cloud","score":0.8929456472396851},{"id":"https://openalex.org/keywords/pointwise","display_name":"Pointwise","score":0.7710038423538208},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7127193808555603},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5994299650192261},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5816982984542847},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.4878280460834503},{"id":"https://openalex.org/keywords/3d-city-models","display_name":"3D city models","score":0.4621037244796753},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.43386316299438477},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.41170692443847656},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4033687710762024},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3694048523902893},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.2492741048336029},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1464209258556366},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.12080541253089905}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8929456472396851},{"id":"https://openalex.org/C2777984123","wikidata":"https://www.wikidata.org/wiki/Q9248237","display_name":"Pointwise","level":2,"score":0.7710038423538208},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7127193808555603},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5994299650192261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5816982984542847},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.4878280460834503},{"id":"https://openalex.org/C2778597888","wikidata":"https://www.wikidata.org/wiki/Q172169","display_name":"3D city models","level":3,"score":0.4621037244796753},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.43386316299438477},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.41170692443847656},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4033687710762024},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3694048523902893},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2492741048336029},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1464209258556366},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.12080541253089905},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ica-190608","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ica-190608","pdf_url":null,"source":{"id":"https://openalex.org/S107631664","display_name":"Integrated Computer-Aided Engineering","issn_l":"1069-2509","issn":["1069-2509","1875-8835"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Integrated Computer-Aided Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W1482825550","https://openalex.org/W1524680991","https://openalex.org/W1561952261","https://openalex.org/W1569530544","https://openalex.org/W1625255723","https://openalex.org/W1644641054","https://openalex.org/W1689711448","https://openalex.org/W1905829557","https://openalex.org/W1912570122","https://openalex.org/W1920022804","https://openalex.org/W1972893558","https://openalex.org/W1989906353","https://openalex.org/W2012592962","https://openalex.org/W2021122545","https://openalex.org/W2034216041","https://openalex.org/W2077251165","https://openalex.org/W2078039548","https://openalex.org/W2091365875","https://openalex.org/W2097117768","https://openalex.org/W2100657858","https://openalex.org/W2109563136","https://openalex.org/W2115182825","https://openalex.org/W2117539524","https://openalex.org/W2140957936","https://openalex.org/W2161854574","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2211722331","https://openalex.org/W2237203399","https://openalex.org/W2339077268","https://openalex.org/W2394951287","https://openalex.org/W2460657278","https://openalex.org/W2549139847","https://openalex.org/W2553307952","https://openalex.org/W2556802233","https://openalex.org/W2560609797","https://openalex.org/W2586537367","https://openalex.org/W2592242041","https://openalex.org/W2606202972","https://openalex.org/W2608369674","https://openalex.org/W2620629206","https://openalex.org/W2624503621","https://openalex.org/W2624570034","https://openalex.org/W2737234477","https://openalex.org/W2752215843","https://openalex.org/W2768955070","https://openalex.org/W2776541877","https://openalex.org/W2798194297","https://openalex.org/W2798270772","https://openalex.org/W2801439730","https://openalex.org/W2801492038","https://openalex.org/W2803401714","https://openalex.org/W2804574209","https://openalex.org/W2804948039","https://openalex.org/W2810240468","https://openalex.org/W2889494142","https://openalex.org/W2951019013","https://openalex.org/W2962731536","https://openalex.org/W2962928871","https://openalex.org/W2963121255","https://openalex.org/W2963226018","https://openalex.org/W2963312728","https://openalex.org/W2963517242","https://openalex.org/W2963719584","https://openalex.org/W2963721253","https://openalex.org/W2999877417","https://openalex.org/W3104141662","https://openalex.org/W3125750274","https://openalex.org/W6618372016","https://openalex.org/W6640300118","https://openalex.org/W6712520605"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2140020064","https://openalex.org/W143502885","https://openalex.org/W2626256601","https://openalex.org/W2900413183","https://openalex.org/W2114282491","https://openalex.org/W2573957257","https://openalex.org/W2948902595","https://openalex.org/W963789794","https://openalex.org/W3090729437"],"abstract_inverted_index":{"The":[0,116],"geometric":[1,87,111],"and":[2,112,122,133,143,186],"semantic":[3,19,60,80,114,182],"information":[4,61,81],"of":[5,13,21,49,70,156],"3D":[6,14,22,50,64,104,160,175,178,188],"point":[7,15,23,150],"clouds":[8,24],"significantly":[9],"influence":[10],"the":[11,33,47,58,63,68,78,148],"analysis":[12,106,162],"cloud":[16,151],"structures.":[17],"However,":[18],"learning":[20,28],"based":[25],"on":[26,95,169],"deep":[27],"is":[29],"challenging":[30],"due":[31],"to":[32,43,56,130,146],"naturally":[34],"unordered":[35,149],"data":[36],"structure.":[37],"In":[38,153],"this":[39,96],"work,":[40],"we":[41,74,98],"strive":[42],"impart":[44],"machines":[45],"with":[46,89,158],"knowledge":[48],"object":[51,176,179],"shapes,":[52],"thereby":[53],"enabling":[54],"them":[55],"infer":[57],"high-level":[59,79,113],"from":[62],"model.":[65],"Inspired":[66],"by":[67,82],"vector":[69],"locally":[71],"aggregated":[72],"descriptors,":[73],"propose":[75],"indirectly":[76],"describing":[77],"associating":[83],"each":[84],"point\u2019s":[85],"low-level":[86,110],"descriptor":[88],"a":[90,119,123,154],"few":[91],"visual":[92],"words.":[93],"Based":[94],"approach,":[97],"design":[99],"an":[100],"end-to-end":[101],"network":[102,117,137,165],"for":[103],"shape":[105,161],"that":[107,126],"combines":[108],"pointwise":[109,140],"information.":[115],"includes":[118],"spatial":[120],"transform":[121],"uniform":[124],"operation":[125],"make":[127],"it":[128],"invariant":[129],"input":[131],"rotation":[132],"translation,":[134],"respectively.":[135],"Our":[136],"also":[138],"employs":[139],"feature":[141],"extraction":[142],"pooling":[144],"operations":[145],"solve":[147],"problem.":[152],"series":[155],"experiments":[157],"popular":[159],"benchmarks,":[163],"our":[164],"exhibits":[166],"competitive":[167],"performance":[168],"many":[170],"important":[171],"tasks,":[172],"such":[173],"as":[174],"classification,":[177],"part":[180],"segmentation,":[181],"segmentation":[183],"in":[184],"scenes,":[185],"commercial":[187],"CAD":[189],"model":[190],"retrieval.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":6}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}