{"id":"https://openalex.org/W7138158852","doi":"https://doi.org/10.1609/aaai.v40i14.38207","title":"PointMC: Multi-view Consistent Encoding and Center-Global Feature Fusion for Point Clouds Understanding","display_name":"PointMC: Multi-view Consistent Encoding and Center-Global Feature Fusion for Point Clouds Understanding","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138158852","doi":"https://doi.org/10.1609/aaai.v40i14.38207"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v40i14.38207","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i14.38207","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v40i14.38207","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129731551","display_name":"Xinxing Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Xinxing Yu","raw_affiliation_strings":["Faculty of Innovation Engineering, Macau University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Innovation Engineering, Macau University of Science and Technology","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087070904","display_name":"Ajian Liu","orcid":"https://orcid.org/0009-0009-5238-0387"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Ajian Liu","raw_affiliation_strings":["Faculty of Innovation Engineering, Macau University of Science and Technology\nMAIS, Institute of Automation, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Innovation Engineering, Macau University of Science and Technology\nMAIS, Institute of Automation, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042422660","display_name":"Sunyuan Qiang","orcid":"https://orcid.org/0000-0001-5298-5815"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sunyuan Qiang","raw_affiliation_strings":["Southwest Institute of Technical Physics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Institute of Technical Physics","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129750167","display_name":"Yuzhong Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Yuzhong Wang","raw_affiliation_strings":["Faculty of Innovation Engineering, Macau University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Innovation Engineering, Macau University of Science and Technology","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129694480","display_name":"Hui Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Hui Ma","raw_affiliation_strings":["Faculty of Innovation Engineering, Macau University of Science and Technology\nSchool of Computing and Information Technology, Great Bay University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Innovation Engineering, Macau University of Science and Technology\nSchool of Computing and Information Technology, Great Bay University","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129751646","display_name":"Yanyan Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Yanyan Liang","raw_affiliation_strings":["Faculty of Innovation Engineering, Macau University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Innovation Engineering, Macau University of Science and Technology","institution_ids":["https://openalex.org/I111950717"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32960894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"14","first_page":"12169","last_page":"12177"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.8325999975204468,"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":0.8325999975204468,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.03370000049471855,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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":0.014700000174343586,"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":0.675000011920929},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5540000200271606},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.545799970626831},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5091000199317932},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4927999973297119},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.4307999908924103},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.414900004863739},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.3977000117301941},{"id":"https://openalex.org/keywords/geometric-shape","display_name":"Geometric shape","score":0.3774999976158142}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6905999779701233},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.675000011920929},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5540000200271606},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.545799970626831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.53329998254776},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5091000199317932},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4927999973297119},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.4307999908924103},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.414900004863739},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3977000117301941},{"id":"https://openalex.org/C7305733","wikidata":"https://www.wikidata.org/wiki/Q207961","display_name":"Geometric shape","level":2,"score":0.3774999976158142},{"id":"https://openalex.org/C104065381","wikidata":"https://www.wikidata.org/wiki/Q1002535","display_name":"Geometric modeling","level":2,"score":0.34389999508857727},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3296999931335449},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3262999951839447},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3174999952316284},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.3154999911785126},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.31029999256134033},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3019999861717224},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3009999990463257},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.2994000017642975},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.29919999837875366},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.29899999499320984},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.29010000824928284},{"id":"https://openalex.org/C2777146004","wikidata":"https://www.wikidata.org/wiki/Q14949826","display_name":"CLARITY","level":2,"score":0.2897999882698059},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28189998865127563},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.28130000829696655},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.2745000123977661},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26089999079704285},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.2563999891281128},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25619998574256897}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v40i14.38207","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i14.38207","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/38207","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/38207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i14.38207","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i14.38207","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.47239407896995544,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Point":[0],"cloud":[1],"tasks":[2],"have":[3,20],"recently":[4],"benefited":[5],"from":[6],"Mamba-based":[7],"architecture,":[8],"which":[9],"leverage":[10],"state":[11],"space":[12],"modeling":[13,116],"to":[14,43,47,88,130,173],"achieve":[15],"strong":[16],"performance.":[17],"Previous":[18],"studies":[19],"primarily":[21],"focused":[22],"on":[23,35,168,184],"network":[24],"design":[25],"while":[26,51],"overlooking":[27,60],"the":[28,52,67,106,140,151,160,176,189],"importance":[29],"of":[30,153,178,191],"position":[31],"encoding":[32],"and":[33,83,96,126,143,170,198,208],"relying":[34],"coarse-grained":[36],"geometric":[37,56,63,99,180,210],"feature":[38,57],"aggregation.":[39],"The":[40],"former":[41],"leads":[42],"semantic":[44,141,206],"ambiguity":[45],"due":[46],"inconsistent":[48],"spatial":[49,114,133],"relationships,":[50],"latter":[53],"results":[54],"in":[55,202],"dispersion":[58],"by":[59,112,119],"fine-grained":[61,98],"local":[62,154,179],"details.":[64,211],"To":[65],"tackle":[66],"above":[68],"problem,":[69],"we":[70],"propose":[71],"a":[72,113,127,164],"novel":[73],"framework,":[74],"PointMC,":[75,192],"including":[76],"Multi-view":[77],"Consistent":[78],"Learnable":[79],"Position":[80],"Encoding":[81],"(MCLPE)":[82],"Center-Global":[84],"Feature":[85],"Fusion":[86],"(CGFF),":[87],"provide":[89],"semantically":[90],"coherent":[91],"positional":[92],"guidance":[93],"for":[94],"inter-patch":[95,147,205],"enable":[97],"structure":[100,115],"aggregation":[101,177],"within":[102,157],"intra-patch":[103,209],"regions.":[104,148],"Specifically,":[105],"proposed":[107],"MCLPE":[108],"module":[109,162],"is":[110],"inspired":[111],"mechanism":[117,166],"guided":[118],"physical":[120],"constraints,":[121],"leverages":[122],"multi-view":[123],"virtual":[124],"reconstruction":[125],"learnable":[128],"strategy":[129],"dynamically":[131],"constrain":[132],"relationships":[134],"along":[135],"patch":[136],"boundaries,":[137],"thereby":[138],"enhancing":[139],"consistency":[142,207],"representational":[144],"clarity":[145],"across":[146],"Furthermore,":[149],"considering":[150],"lack":[152],"structural":[155],"information":[156],"each":[158],"patch,":[159],"CGFF":[161],"employs":[163],"dual-guidance":[165],"based":[167],"center":[169],"global":[171],"structures":[172],"effectively":[174],"promote":[175],"features.":[181],"Extensive":[182],"experiments":[183],"multiple":[185],"benchmark":[186],"datasets":[187],"validate":[188],"effectiveness":[190],"consistently":[193],"outperforming":[194],"existing":[195],"state-of-the-art":[196],"methods,":[197],"demonstrating":[199],"superior":[200],"capability":[201],"capturing":[203],"both":[204]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-18T00:00:00"}
