{"id":"https://openalex.org/W4391235309","doi":"https://doi.org/10.1109/tmm.2024.3358695","title":"PointGL: A Simple Global-Local Framework for Efficient Point Cloud Analysis","display_name":"PointGL: A Simple Global-Local Framework for Efficient Point Cloud Analysis","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391235309","doi":"https://doi.org/10.1109/tmm.2024.3358695"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3358695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3358695","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/A5100448292","display_name":"Jianan Li","orcid":"https://orcid.org/0000-0002-6936-9485"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianan Li","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China","Key Laboratory of Photoelectronic Imaging Technology and System, Ministry of Education of China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6936-9485","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Key Laboratory of Photoelectronic Imaging Technology and System, Ministry of Education of China, Beijing, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036113332","display_name":"Jie Wang","orcid":"https://orcid.org/0000-0002-4847-3697"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wang","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4847-3697","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019242095","display_name":"Tingfa Xu","orcid":"https://orcid.org/0000-0001-5452-2662"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingfa Xu","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China","Chongqing Innovation Center, Beijing Institute of Technology, Chongqing, China","Key Laboratory of Photoelectronic Imaging Technology and System, Ministry of Education of China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5452-2662","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Chongqing Innovation Center, Beijing Institute of Technology, Chongqing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Key Laboratory of Photoelectronic Imaging Technology and System, Ministry of Education of China, Beijing, China","institution_ids":["https://openalex.org/I1327237609"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100448292"],"corresponding_institution_ids":["https://openalex.org/I125839683","https://openalex.org/I1327237609"],"apc_list":null,"apc_paid":null,"fwci":9.2783,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.99108447,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"26","issue":null,"first_page":"6931","last_page":"6942"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9980000257492065,"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"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/computer-science","display_name":"Computer science","score":0.7625448107719421},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6777148246765137},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6670241951942444},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6016406416893005},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5416418313980103},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5171008110046387},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.47177720069885254},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3638479709625244},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35950273275375366}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7625448107719421},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6777148246765137},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6670241951942444},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6016406416893005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5416418313980103},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5171008110046387},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.47177720069885254},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3638479709625244},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35950273275375366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2024.3358695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3358695","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":[],"awards":[{"id":"https://openalex.org/G4360217077","display_name":null,"funder_award_id":"62101032","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6928338148","display_name":null,"funder_award_id":"2021M690015","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7797466398","display_name":null,"funder_award_id":"2022T150050","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1644641054","https://openalex.org/W1920022804","https://openalex.org/W2115579991","https://openalex.org/W2211722331","https://openalex.org/W2460657278","https://openalex.org/W2520005737","https://openalex.org/W2553307952","https://openalex.org/W2897529137","https://openalex.org/W2949708697","https://openalex.org/W2962731536","https://openalex.org/W2963158438","https://openalex.org/W2963231572","https://openalex.org/W2963263347","https://openalex.org/W2963509914","https://openalex.org/W2968296999","https://openalex.org/W2979750740","https://openalex.org/W2981440248","https://openalex.org/W2990613095","https://openalex.org/W3008105217","https://openalex.org/W3034239841","https://openalex.org/W3034314779","https://openalex.org/W3094394107","https://openalex.org/W3109646990","https://openalex.org/W3111535274","https://openalex.org/W3119460354","https://openalex.org/W3132888871","https://openalex.org/W3153465022","https://openalex.org/W3157424380","https://openalex.org/W3158405343","https://openalex.org/W3159746229","https://openalex.org/W3171433839","https://openalex.org/W3174510152","https://openalex.org/W3198731913","https://openalex.org/W3198923361","https://openalex.org/W3200068634","https://openalex.org/W3202611145","https://openalex.org/W3203158837","https://openalex.org/W3204568647","https://openalex.org/W3217258042","https://openalex.org/W4214644223","https://openalex.org/W4214755140","https://openalex.org/W4221142172","https://openalex.org/W4224230012","https://openalex.org/W4285102223","https://openalex.org/W4288404646","https://openalex.org/W4312270234","https://openalex.org/W4312788538","https://openalex.org/W4312903973","https://openalex.org/W6631190155","https://openalex.org/W6726497184","https://openalex.org/W6739778489","https://openalex.org/W6757555829","https://openalex.org/W6763422710","https://openalex.org/W6764990469","https://openalex.org/W6767228950","https://openalex.org/W6790453339","https://openalex.org/W6802749810","https://openalex.org/W6804548115","https://openalex.org/W6809396041","https://openalex.org/W6810249204","https://openalex.org/W6839446344","https://openalex.org/W6960006305"],"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/W3103989898","https://openalex.org/W4401096132","https://openalex.org/W2932872266"],"abstract_inverted_index":{"Efficient":[0],"analysis":[1],"of":[2,31,48,83,134,147,179,184],"point":[3,26,35,75,136],"clouds":[4],"holds":[5],"paramount":[6],"significance":[7],"in":[8,38,55],"real-world":[9],"3D":[10],"applications.":[11],"Currently,":[12],"prevailing":[13],"point-based":[14],"models":[15],"adhere":[16],"to":[17,72,103,143,188],"the":[18,45,91,112,160,180,185,189],"PointNet++":[19],"methodology,":[20],"which":[21],"involves":[22],"embedding":[23,50,106,137],"and":[24,123,138,151,174,182],"abstracting":[25],"features":[27],"within":[28],"a":[29,62,80,165],"sequence":[30],"spatially":[32],"overlapping":[33],"local":[34,129],"sets,":[36],"resulting":[37],"noticeable":[39],"computational":[40],"redundancy.":[41],"Drawing":[42],"inspiration":[43],"from":[44],"streamlined":[46],"paradigm":[47],"pixel":[49],"followed":[51],"by":[52],"regional":[53,125],"pooling":[54,141],"Convolutional":[56],"Neural":[57],"Networks":[58],"(CNNs),":[59],"we":[60],"introduce":[61],"novel,":[63],"uncomplicated":[64],"yet":[65],"potent":[66],"architecture":[67],"known":[68],"as":[69],"PointGL,":[70],"crafted":[71],"facilitate":[73],"efficient":[74],"cloud":[76],"analysis.":[77],"PointGL":[78,155,196],"employs":[79],"hierarchical":[81],"process":[82],"feature":[84,105],"acquisition":[85],"through":[86,127],"two":[87],"recursive":[88],"steps.":[89],"First,":[90],"<italic":[92,114],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[93,115,201],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Global":[94],"Point":[95],"Embedding</i>":[96],"leverages":[97],"straightforward":[98],"residual":[99],"Multilayer":[100],"Perceptrons":[101],"(MLPs)":[102],"effectuate":[104],"for":[107,195],"each":[108],"individual":[109],"point.":[110],"Second,":[111],"novel":[113],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Local":[116],"Graph":[117],"Pooling</i>":[118],"technique":[119],"characterizes":[120],"point-to-point":[121],"relationships":[122],"abstracts":[124],"representations":[126],"succinct":[128],"graphs.":[130],"The":[131,193],"harmonious":[132],"fusion":[133],"one-time":[135],"parameter-free":[139],"graph":[140],"contributes":[142],"PointGL's":[144],"defining":[145],"attributes":[146],"minimized":[148],"model":[149],"complexity":[150],"heightened":[152],"efficiency.":[153],"Our":[154],"attains":[156],"state-of-the-art":[157],"accuracy":[158],"on":[159],"ScanObjectNN":[161],"dataset":[162],"while":[163],"exhibiting":[164],"runtime":[166],"that":[167],"is":[168,197],"more":[169],"than":[170],"5":[171],"times":[172],"faster":[173],"utilizing":[175],"only":[176],"approximately":[177],"4%":[178],"FLOPs":[181],"30%":[183],"parameters":[186],"compared":[187],"recent":[190],"PointMLP":[191],"model.":[192],"code":[194],"available":[198],"at":[199],"<uri":[200],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/Roywangj/PointGL</uri>":[202],".":[203]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-27T08:22:11.395708","created_date":"2025-10-10T00:00:00"}