{"id":"https://openalex.org/W3043238202","doi":"https://doi.org/10.1109/tmm.2020.3009499","title":"HAPGN: Hierarchical Attentive Pooling Graph Network for Point Cloud Segmentation","display_name":"HAPGN: Hierarchical Attentive Pooling Graph Network for Point Cloud Segmentation","publication_year":2020,"publication_date":"2020-07-15","ids":{"openalex":"https://openalex.org/W3043238202","doi":"https://doi.org/10.1109/tmm.2020.3009499","mag":"3043238202"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2020.3009499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2020.3009499","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Transactions on Multimedia","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/A5024701469","display_name":"Chaofan Chen","orcid":"https://orcid.org/0000-0001-7970-7698"},"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":true,"raw_author_name":"Chaofan Chen","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073601707","display_name":"Shengsheng Qian","orcid":"https://orcid.org/0000-0001-9488-2208"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengsheng Qian","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108683740","display_name":"Quan Fang","orcid":"https://orcid.org/0000-0003-4190-1529"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Fang","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022636178","display_name":"Changsheng Xu","orcid":"https://orcid.org/0000-0001-8343-9665"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changsheng Xu","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","Peng Cheng Laboratory, Shenzhen, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024701469"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":8.2517,"has_fulltext":false,"cited_by_count":73,"citation_normalized_percentile":{"value":0.98883118,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"23","issue":null,"first_page":"2335","last_page":"2346"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9997000098228455,"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":0.9997000098228455,"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":0.988099992275238,"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":0.9861999750137329,"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/pooling","display_name":"Pooling","score":0.8650025129318237},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8193169832229614},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8108938336372375},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.629783034324646},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5415002107620239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5103310942649841},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4630257189273834},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.46082982420921326},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4339751601219177},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38572078943252563},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.306951105594635}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.8650025129318237},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8193169832229614},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8108938336372375},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.629783034324646},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5415002107620239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5103310942649841},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4630257189273834},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.46082982420921326},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4339751601219177},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38572078943252563},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.306951105594635},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2020.3009499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2020.3009499","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1353530241","display_name":null,"funder_award_id":"U1705262","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4729574470","display_name":null,"funder_award_id":"61721004, 61532009, 61720106006, 61572503, 61802405, 61872424, 61702509, 61832002, 61936005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327721","display_name":"K. C. Wong Education Foundation","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":91,"referenced_works":["https://openalex.org/W637153065","https://openalex.org/W1493004075","https://openalex.org/W1522301498","https://openalex.org/W1662382123","https://openalex.org/W1934027668","https://openalex.org/W1970844948","https://openalex.org/W1976088744","https://openalex.org/W1986473362","https://openalex.org/W2022508996","https://openalex.org/W2042881937","https://openalex.org/W2057175746","https://openalex.org/W2099921828","https://openalex.org/W2157497352","https://openalex.org/W2160994953","https://openalex.org/W2194775991","https://openalex.org/W2290847742","https://openalex.org/W2294978630","https://openalex.org/W2342223463","https://openalex.org/W2460657278","https://openalex.org/W2511691466","https://openalex.org/W2519887557","https://openalex.org/W2526278568","https://openalex.org/W2553307952","https://openalex.org/W2556802233","https://openalex.org/W2560609797","https://openalex.org/W2579549467","https://openalex.org/W2606780347","https://openalex.org/W2769312834","https://openalex.org/W2770046775","https://openalex.org/W2776622059","https://openalex.org/W2785720803","https://openalex.org/W2786103815","https://openalex.org/W2788158258","https://openalex.org/W2798777114","https://openalex.org/W2805479641","https://openalex.org/W2807021761","https://openalex.org/W2809583854","https://openalex.org/W2811124557","https://openalex.org/W2883604724","https://openalex.org/W2884561390","https://openalex.org/W2886970679","https://openalex.org/W2897350431","https://openalex.org/W2949794418","https://openalex.org/W2950369002","https://openalex.org/W2951659295","https://openalex.org/W2962928871","https://openalex.org/W2963021451","https://openalex.org/W2963053547","https://openalex.org/W2963084622","https://openalex.org/W2963121255","https://openalex.org/W2963123724","https://openalex.org/W2963226018","https://openalex.org/W2963281829","https://openalex.org/W2963312728","https://openalex.org/W2963719584","https://openalex.org/W2964015378","https://openalex.org/W2964121744","https://openalex.org/W2964311892","https://openalex.org/W2964321699","https://openalex.org/W2966779056","https://openalex.org/W2971721090","https://openalex.org/W2979750740","https://openalex.org/W2981972397","https://openalex.org/W2986237702","https://openalex.org/W2995208943","https://openalex.org/W3003874400","https://openalex.org/W3012644407","https://openalex.org/W3039442820","https://openalex.org/W3100157108","https://openalex.org/W3100848837","https://openalex.org/W3102539869","https://openalex.org/W3103830808","https://openalex.org/W4288092002","https://openalex.org/W4297733535","https://openalex.org/W6620673361","https://openalex.org/W6631190155","https://openalex.org/W6637178625","https://openalex.org/W6640491516","https://openalex.org/W6720006811","https://openalex.org/W6725627366","https://openalex.org/W6726873649","https://openalex.org/W6736685754","https://openalex.org/W6739778489","https://openalex.org/W6745537798","https://openalex.org/W6747978776","https://openalex.org/W6748556633","https://openalex.org/W6751916927","https://openalex.org/W6753998590","https://openalex.org/W6763422710","https://openalex.org/W6767716835","https://openalex.org/W6771249611"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W147410782","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W4399442168","https://openalex.org/W2114282491","https://openalex.org/W3015684221"],"abstract_inverted_index":{"Among":[0],"different":[1,42,61,65,153,161],"3D":[2],"data":[3],"representations,":[4],"point":[5,22,29,55,70,141,224],"cloud":[6,23,30,142,225],"stands":[7],"out":[8],"for":[9,28,68,140,223],"its":[10,57],"efficiency":[11],"and":[12,56,84,131,197,227],"flexibility.":[13],"Hence,":[14],"many":[15],"researchers":[16],"have":[17,64],"been":[18],"involved":[19],"in":[20],"the":[21,50,53,99,125,150,158,166,179,186,193,208,232],"analysis":[24],"recently.":[25],"Existing":[26],"approaches":[27,95,222],"segmentation":[31,210],"task":[32],"typically":[33],"suffer":[34],"from":[35],"two":[36],"limitations:":[37],"1)":[38],"They":[39,87],"usually":[40],"treat":[41],"neighbor":[43,154],"points":[44,103,155,183],"as":[45,137],"equals":[46],"which":[47,80,96,123],"cannot":[48,97],"characterize":[49],"correlation":[51],"between":[52],"center":[54],"neighborhoods":[58],"well.":[59],"Moreover,":[60],"parts":[62],"may":[63],"local":[66,167],"structures":[67],"a":[69,76,115,172],"cloud,":[71],"but":[72,156],"they":[73],"just":[74],"learn":[75,106,185],"single":[77],"representation":[78,162],"space":[79],"is":[81,171],"not":[82,148],"sufficient":[83],"stable.":[85],"2)":[86],"often":[88],"capture":[89,178],"hierarchical":[90,117,132,187],"information":[91],"by":[92],"heuristic":[93],"sampling":[94],"reveal":[98],"spatial":[100,180],"relationships":[101],"of":[102,152,160,182],"well":[104],"to":[105,164,184],"global":[107],"features.":[108],"To":[109],"overcome":[110],"these":[111],"limitations,":[112],"we":[113,213],"propose":[114],"novel":[116,173],"attentive":[118],"pooling":[119,134,174],"graph":[120,127,133],"network":[121,129],"(HAPGN)":[122],"utilizes":[124],"gated":[126],"attention":[128],"(GGAN)":[130],"module":[135,175],"(HiGPool)":[136],"building":[138],"blocks":[139],"segmentation.":[143],"Specifically,":[144],"GGAN":[145],"can":[146,177,203],"highlight":[147],"only":[149],"importance":[151,159],"also":[157,214],"spaces":[163],"enhance":[165],"feature":[168],"extraction.":[169],"HiGPool":[170,218],"that":[176,201],"layouts":[181],"features":[188],"adequately.":[189],"Experimental":[190],"results":[191,230],"on":[192,231],"ShapeNet":[194],"part":[195],"dataset":[196,199],"S3DIS":[198],"show":[200],"HAPGN":[202],"achieve":[204,228],"superior":[205],"performance":[206],"over":[207],"state-of-the-art":[209],"approaches.":[211],"Furthermore,":[212],"combine":[215],"our":[216],"proposed":[217],"with":[219],"some":[220],"recent":[221],"classification":[226],"better":[229],"ModelNet40":[233],"dataset.":[234]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
