{"id":"https://openalex.org/W3196583898","doi":"https://doi.org/10.1109/lgrs.2021.3107006","title":"Continuous Mapping Convolution for Large-Scale Point Clouds Semantic Segmentation","display_name":"Continuous Mapping Convolution for Large-Scale Point Clouds Semantic Segmentation","publication_year":2021,"publication_date":"2021-08-31","ids":{"openalex":"https://openalex.org/W3196583898","doi":"https://doi.org/10.1109/lgrs.2021.3107006","mag":"3196583898"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2021.3107006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3107006","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5031495564","display_name":"Kunping Yan","orcid":"https://orcid.org/0000-0002-2680-6745"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kunping Yan","raw_affiliation_strings":["School of Mechanical Electronic and Information Engineering, China University of Mining and Technology-Beijing, Beijing, China","School of Mechanical Electronic & Information Engineering, China University of Mining & Technology (Beijing), Beijing 100083, China"],"raw_orcid":"https://orcid.org/0000-0001-9902-0447","affiliations":[{"raw_affiliation_string":"School of Mechanical Electronic and Information Engineering, China University of Mining and Technology-Beijing, Beijing, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"School of Mechanical Electronic & Information Engineering, China University of Mining & Technology (Beijing), Beijing 100083, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036921959","display_name":"Qingyong Hu","orcid":"https://orcid.org/0000-0003-0337-9207"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qingyong Hu","raw_affiliation_strings":["Department of Computer Science, University of Oxford, Oxford, U.K","[Department of Computer Science, University of Oxford, Oxford OX1 2JD, U.K.]"],"raw_orcid":"https://orcid.org/0000-0003-0337-9207","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Oxford, Oxford, U.K","institution_ids":["https://openalex.org/I40120149"]},{"raw_affiliation_string":"[Department of Computer Science, University of Oxford, Oxford OX1 2JD, U.K.]","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071855633","display_name":"Hanyun Wang","orcid":"https://orcid.org/0000-0002-8320-4230"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanyun Wang","raw_affiliation_strings":["School of Surveying and Mapping, Information Engineering University, Zhengzhou, China","[School of Surveying and Mapping, Information Engineering University, Zhengzhou 450001, China (e-mail: why.scholar@gmail.com)]"],"raw_orcid":"https://orcid.org/0000-0002-8320-4230","affiliations":[{"raw_affiliation_string":"School of Surveying and Mapping, Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]},{"raw_affiliation_string":"[School of Surveying and Mapping, Information Engineering University, Zhengzhou 450001, China (e-mail: why.scholar@gmail.com)]","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114400790","display_name":"Xiaohong Huang","orcid":"https://orcid.org/0009-0008-2948-5183"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohong Huang","raw_affiliation_strings":["School of the Electronics and Communication Engineering, Sun Yat-sen University, Guangzhou, China","[School of the Electronics and Communication Engineering, Sun Yat-sen University, Guangzhou 510275, China.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of the Electronics and Communication Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"[School of the Electronics and Communication Engineering, Sun Yat-sen University, Guangzhou 510275, China.]","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361230","display_name":"Li Li","orcid":"https://orcid.org/0000-0002-7163-6263"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Li","raw_affiliation_strings":["School of Surveying and Mapping, Information Engineering University, Zhengzhou, China","[School of Surveying and Mapping, Information Engineering University, Zhengzhou 450001, China.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Surveying and Mapping, Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]},{"raw_affiliation_string":"[School of Surveying and Mapping, Information Engineering University, Zhengzhou 450001, China.]","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027123416","display_name":"Song Ji","orcid":"https://orcid.org/0000-0002-3333-319X"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Ji","raw_affiliation_strings":["School of Surveying and Mapping, Information Engineering University, Zhengzhou, China","[School of Surveying and Mapping, Information Engineering University, Zhengzhou 450001, China.]"],"raw_orcid":"https://orcid.org/0000-0002-3333-319X","affiliations":[{"raw_affiliation_string":"School of Surveying and Mapping, Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]},{"raw_affiliation_string":"[School of Surveying and Mapping, Information Engineering University, Zhengzhou 450001, China.]","institution_ids":["https://openalex.org/I169689159"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7615,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.9037699,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9993000030517578,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7657735347747803},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7164034843444824},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7031033039093018},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6995116472244263},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6407001614570618},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5565162897109985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4770055115222931},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.46345847845077515},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4467518627643585},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36249589920043945},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3467901349067688},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3432867228984833},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16093504428863525},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11465990543365479},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.11036819219589233},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09601181745529175},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07631972432136536}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7657735347747803},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7164034843444824},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7031033039093018},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6995116472244263},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6407001614570618},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5565162897109985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4770055115222931},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.46345847845077515},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4467518627643585},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36249589920043945},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3467901349067688},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3432867228984833},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16093504428863525},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11465990543365479},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.11036819219589233},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09601181745529175},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07631972432136536},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2021.3107006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3107006","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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":35,"referenced_works":["https://openalex.org/W2278868814","https://openalex.org/W2555618208","https://openalex.org/W2791920409","https://openalex.org/W2795374598","https://openalex.org/W2795587607","https://openalex.org/W2798297823","https://openalex.org/W2798777114","https://openalex.org/W2895472109","https://openalex.org/W2951254960","https://openalex.org/W2960986959","https://openalex.org/W2963057320","https://openalex.org/W2963125977","https://openalex.org/W2963182550","https://openalex.org/W2963231572","https://openalex.org/W2963281829","https://openalex.org/W2963517242","https://openalex.org/W2963706542","https://openalex.org/W2981983525","https://openalex.org/W2983098675","https://openalex.org/W2990613095","https://openalex.org/W2991216808","https://openalex.org/W2997890711","https://openalex.org/W2998083489","https://openalex.org/W3007809903","https://openalex.org/W3011788244","https://openalex.org/W3012494314","https://openalex.org/W3039448353","https://openalex.org/W3162787701","https://openalex.org/W3167684723","https://openalex.org/W3176802407","https://openalex.org/W6631190155","https://openalex.org/W6733367512","https://openalex.org/W6739778489","https://openalex.org/W6763229141","https://openalex.org/W6763422710"],"related_works":["https://openalex.org/W3016928466","https://openalex.org/W2114282491","https://openalex.org/W2890372105","https://openalex.org/W3034421924","https://openalex.org/W2982536526","https://openalex.org/W4386858688","https://openalex.org/W4380302312","https://openalex.org/W4390971171","https://openalex.org/W4385338604","https://openalex.org/W3081626085"],"abstract_inverted_index":{"In":[0,17],"this":[1],"letter,":[2],"we":[3],"introduce":[4],"MappingConvSeg,":[5],"a":[6,19,52,86],"continuous":[7,25,65],"convolution":[8,26,66,80],"network":[9,88],"for":[10,30,92],"semantic":[11,96],"segmentation":[12],"of":[13,34,54,118],"large-scale":[14,93,109],"point":[15,37,42,46,94],"clouds.":[16,38],"particular,":[18],"conceptually":[20],"simple,":[21],"end-to-end":[22],"learnable,":[23],"and":[24,63,107],"operator":[27],"is":[28,67,89],"proposed":[29,78,120],"learning":[31],"spatial":[32,61],"correlation":[33],"unstructured":[35,45],"3-D":[36,110],"For":[39],"each":[40],"local":[41,73],"set,":[43],"the":[44,60,64,77,83,116,119],"features":[47],"are":[48],"first":[49],"mapped":[50],"onto":[51],"series":[53],"learned":[55],"kernel":[56],"points":[57],"based":[58],"on":[59,101],"relationship,":[62],"then":[68,90],"applied":[69],"to":[70],"capture":[71],"specific":[72],"geometrical":[74],"patterns.":[75],"Taking":[76],"mapping":[79],"operation":[81],"as":[82],"building":[84],"block,":[85],"hierarchical":[87],"built":[91],"cloud":[95],"segmentation.":[97],"Experimental":[98],"results":[99],"conducted":[100],"two":[102],"public":[103],"benchmarks,":[104],"including":[105],"Toronto-3D":[106],"Stanford":[108],"Indoor":[111],"Spaces":[112],"(S3DIS)":[113],"dataset,":[114],"demonstrate":[115],"superiority":[117],"method.":[121]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}