{"id":"https://openalex.org/W7138348015","doi":"https://doi.org/10.1609/aaai.v40i10.37723","title":"MFINet: Multi-view Fusion and 2D\u20133D Interaction Enhancement for Real-Time LiDAR Semantic Segmentation","display_name":"MFINet: Multi-view Fusion and 2D\u20133D Interaction Enhancement for Real-Time LiDAR Semantic Segmentation","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138348015","doi":"https://doi.org/10.1609/aaai.v40i10.37723"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v40i10.37723","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i10.37723","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":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v40i10.37723","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129708227","display_name":"Nan Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Ma","raw_affiliation_strings":["Beijing University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129655043","display_name":"Zhijie Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijie Liu","raw_affiliation_strings":["Beijing University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122881657","display_name":"Yiheng Han","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiheng Han","raw_affiliation_strings":["Beijing University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26990681,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"10","first_page":"7800","last_page":"7808"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.4325000047683716,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.4325000047683716,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.36090001463890076,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.05739999935030937,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/segmentation","display_name":"Segmentation","score":0.6771000027656555},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.621399998664856},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4959999918937683},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.44350001215934753},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.3928999900817871},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3765999972820282},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.3691999912261963},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.36579999327659607},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.35760000348091125}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7918999791145325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6829000115394592},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6771000027656555},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.621399998664856},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.536300003528595},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4959999918937683},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.44350001215934753},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3928999900817871},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3765999972820282},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3691999912261963},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.36579999327659607},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.35760000348091125},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3458000123500824},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.3312000036239624},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.32839998602867126},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3244999945163727},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.32429999113082886},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.32249999046325684},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.32089999318122864},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.30720001459121704},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.29649999737739563},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.28209999203681946},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.25519999861717224},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.25290000438690186}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v40i10.37723","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i10.37723","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/37723","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/37723","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/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i10.37723","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i10.37723","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":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4948260486125946},{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.47886642813682556}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"LiDAR":[0],"semantic":[1,44,135],"segmentation":[2,45],"is":[3,122],"a":[4,42,57,91,117,140,155,162],"key":[5],"task":[6],"in":[7,131],"advanced":[8],"autonomous":[9],"driving":[10],"systems.":[11],"Projection-based":[12],"methods":[13,183],"exhibit":[14],"real-time":[15,43],"potential":[16],"due":[17],"to":[18,76,87,108,115,124,145,166],"their":[19],"efficiency,":[20],"but":[21],"suffer":[22],"from":[23,149],"inevitable":[24],"3D":[25,62,83,86,92,99,111],"information":[26,130],"loss":[27],"and":[28,51,71,82,105,134,175,190],"rely":[29],"on":[30,48,172,184,194],"time-consuming":[31],"post-processing,":[32],"limiting":[33],"overall":[34],"performance.":[35],"To":[36],"address":[37],"this,":[38],"we":[39,89,153],"propose":[40],"MFINet,":[41],"network":[46],"based":[47],"multi-view":[49],"fusion":[50],"2D-3D":[52,141],"interaction":[53],"enhancement.":[54],"It":[55],"adopts":[56],"three-branch":[58],"architecture":[59],"that":[60,179],"integrates":[61],"Point":[63,93],"View":[64,69,74],"(3D-PV),":[65],"2D":[66,72,81,103,114,129],"Bird\u2019s":[67],"Eye":[68],"(2D-BEV)":[70],"Range":[73],"(2D-RV)":[75],"make":[77],"full":[78],"use":[79],"of":[80,128],"representation.":[84],"From":[85,113],"2D,":[88],"design":[90],"Feature":[94,118],"Projector":[95],"(3DPFP),":[96],"which":[97],"injects":[98],"features":[100,148],"into":[101],"the":[102,126,173,185,195],"BEV":[104],"RV":[106],"pseudo-images":[107],"retain":[109],"effective":[110],"information.":[112],"3D,":[116],"Enhancement":[119],"(FE)":[120],"module":[121,160],"designed":[123],"leverage":[125],"advantages":[127],"extracting":[132],"geometric":[133],"features.":[136],"We":[137],"also":[138],"introduce":[139],"Fusion":[142],"Head":[143],"(FH)":[144],"aggregate":[146],"point":[147],"multiple":[150],"views.":[151],"Besides,":[152],"incorporate":[154],"Multi-Scale":[156],"Dilated":[157],"Attention":[158],"(MSDA)":[159],"with":[161],"sliding":[163],"window":[164],"strategy":[165],"enhance":[167],"feature":[168],"discrimination.":[169],"Extensive":[170],"experiments":[171],"SemanticKITTI":[174],"NuScenes":[176,187,196],"benchmarks":[177],"demonstrate":[178],"MFINet":[180],"outperforms":[181],"existing":[182],"SemanticKITTI,":[186],"val":[188],"set":[189],"achieves":[191],"competitive":[192],"results":[193],"test":[197],"set.":[198]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-03-18T00:00:00"}
