{"id":"https://openalex.org/W3212116187","doi":"https://doi.org/10.3233/jifs-212030","title":"DeepGCNs-Att: Point cloud semantic segmentation with contextual point representations","display_name":"DeepGCNs-Att: Point cloud semantic segmentation with contextual point representations","publication_year":2021,"publication_date":"2021-11-09","ids":{"openalex":"https://openalex.org/W3212116187","doi":"https://doi.org/10.3233/jifs-212030","mag":"3212116187"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-212030","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-212030","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"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":"Journal of Intelligent & Fuzzy Systems","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/A5026793625","display_name":"Bin Jiang","orcid":"https://orcid.org/0000-0002-4592-3322"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Jiang","raw_affiliation_strings":["College of Electronic and Optical Engineering & College of Microelectronics, Nanjing University of Posts and Telecommunications, Nanjing, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic and Optical Engineering & College of Microelectronics, Nanjing University of Posts and Telecommunications, Nanjing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352820","display_name":"Xinyu Wang","orcid":"https://orcid.org/0000-0002-9167-2077"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Wang","raw_affiliation_strings":["College of Electronic and Optical Engineering & College of Microelectronics, Nanjing University of Posts and Telecommunications, Nanjing, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic and Optical Engineering & College of Microelectronics, Nanjing University of Posts and Telecommunications, Nanjing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101829753","display_name":"Li Huang","orcid":"https://orcid.org/0000-0001-7047-5958"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Huang","raw_affiliation_strings":["College of Electronic and Optical Engineering & College of Microelectronics, Nanjing University of Posts and Telecommunications, Nanjing, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic and Optical Engineering & College of Microelectronics, Nanjing University of Posts and Telecommunications, Nanjing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071762112","display_name":"Jian Xiao","orcid":"https://orcid.org/0000-0002-0684-2896"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian Xiao","raw_affiliation_strings":["College of Electronic and Optical Engineering & College of Microelectronics, Nanjing University of Posts and Telecommunications, Nanjing, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic and Optical Engineering & College of Microelectronics, Nanjing University of Posts and Telecommunications, Nanjing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5071762112"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.1726,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.4720993,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"42","issue":"4","first_page":"3827","last_page":"3836"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9987999796867371,"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":0.9980000257492065,"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/computer-science","display_name":"Computer science","score":0.7273744344711304},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7238650918006897},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.617599368095398},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6003116965293884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5232293009757996},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.44662150740623474},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4234887659549713},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3754372000694275}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7273744344711304},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7238650918006897},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.617599368095398},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6003116965293884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5232293009757996},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.44662150740623474},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4234887659549713},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3754372000694275},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-212030","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-212030","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"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":"Journal of Intelligent & Fuzzy Systems","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":13,"referenced_works":["https://openalex.org/W1983364832","https://openalex.org/W1998557720","https://openalex.org/W2110457125","https://openalex.org/W2112796928","https://openalex.org/W2130558599","https://openalex.org/W2168809519","https://openalex.org/W2912327653","https://openalex.org/W2963109677","https://openalex.org/W2963881378","https://openalex.org/W2979750740","https://openalex.org/W2988916019","https://openalex.org/W3101921002","https://openalex.org/W6747904511"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W4230315250","https://openalex.org/W2086519370","https://openalex.org/W2087343574"],"abstract_inverted_index":{"Graph":[0,63,85,117,151],"Convolutional":[1,13,64,86,118,152],"Networks":[2],"are":[3],"able":[4],"to":[5,66,73,90],"characterize":[6],"non-Euclidean":[7,101],"spaces":[8],"effectively":[9],"compared":[10],"with":[11,114],"traditional":[12],"Neural":[14],"Networks,":[15,119],"which":[16],"can":[17],"extract":[18],"the":[19,23,37,41,76,84,93,96,100,108,147],"local":[20],"features":[21,39,70],"of":[22,36,40,99,131,150],"point":[24,42],"cloud":[25,43],"using":[26],"deep":[27,62,116],"neural":[28],"networks,":[29],"but":[30],"it":[31],"cannot":[32],"make":[33],"full":[34],"use":[35],"global":[38,68],"for":[44],"semantic":[45],"segmentation.":[46],"To":[47],"solve":[48],"this":[49,51],"problem,":[50],"paper":[52],"proposes":[53],"a":[54],"novel":[55],"network":[56],"structure":[57],"called":[58],"DeepGCNs-Att":[59],"that":[60,130],"enables":[61],"Network":[65,87,153],"aggregate":[67],"context":[69],"efficiently.":[71],"Moreover,":[72],"speed":[74],"up":[75],"computation,":[77],"we":[78],"add":[79],"an":[80],"Attention":[81],"layer":[82],"after":[83],"Backbone":[88],"Block":[89],"mutually":[91],"enhance":[92],"connection":[94],"between":[95],"distant":[97],"points":[98],"space.":[102],"Our":[103],"model":[104],"is":[105],"tested":[106],"on":[107],"standard":[109],"benchmark":[110],"S3DIS.":[111],"By":[112],"comparing":[113],"other":[115,133],"our":[120],"DeepGCNs-Att\u2019s":[121],"mIoU":[122],"has":[123],"at":[124],"least":[125],"two":[126],"percent":[127],"higher":[128],"than":[129],"all":[132],"models":[134],"and":[135,143],"even":[136],"shows":[137],"excellent":[138],"results":[139],"in":[140],"space":[141],"complexity":[142,145],"computational":[144],"under":[146],"same":[148],"number":[149],"layers.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}