{"id":"https://openalex.org/W4392402259","doi":"https://doi.org/10.5220/0012424500003660","title":"Region-Transformer: Self-Attention Region Based Class-Agnostic Point Cloud Segmentation","display_name":"Region-Transformer: Self-Attention Region Based Class-Agnostic Point Cloud Segmentation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392402259","doi":"https://doi.org/10.5220/0012424500003660"},"language":"en","primary_location":{"id":"doi:10.5220/0012424500003660","is_oa":true,"landing_page_url":"http://dx.doi.org/10.5220/0012424500003660","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dx.doi.org/10.5220/0012424500003660","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057401384","display_name":"Dipesh Gyawali","orcid":"https://orcid.org/0009-0001-3734-6000"},"institutions":[{"id":"https://openalex.org/I121820613","display_name":"Louisiana State University","ror":"https://ror.org/05ect4e57","country_code":"US","type":"education","lineage":["https://openalex.org/I121820613"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dipesh Gyawali","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Louisiana State University, Baton Rouge, LA 70803, U.S.A., --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Louisiana State University, Baton Rouge, LA 70803, U.S.A., --- Select a Country ---","institution_ids":["https://openalex.org/I121820613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100623137","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0002-3462-9953"},"institutions":[{"id":"https://openalex.org/I121820613","display_name":"Louisiana State University","ror":"https://ror.org/05ect4e57","country_code":"US","type":"education","lineage":["https://openalex.org/I121820613"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Louisiana State University, Baton Rouge, LA 70803, U.S.A., --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Louisiana State University, Baton Rouge, LA 70803, U.S.A., --- Select a Country ---","institution_ids":["https://openalex.org/I121820613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077590720","display_name":"Bijaya B. Karki","orcid":"https://orcid.org/0000-0003-2428-0206"},"institutions":[{"id":"https://openalex.org/I121820613","display_name":"Louisiana State University","ror":"https://ror.org/05ect4e57","country_code":"US","type":"education","lineage":["https://openalex.org/I121820613"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bijaya Karki","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Louisiana State University, Baton Rouge, LA 70803, U.S.A., --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Louisiana State University, Baton Rouge, LA 70803, U.S.A., --- Select a Country ---","institution_ids":["https://openalex.org/I121820613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5077590720"],"corresponding_institution_ids":["https://openalex.org/I121820613"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"341","last_page":"348"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9797000288963318,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9797000288963318,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.948199987411499,"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/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.921500027179718,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6524490118026733},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6264123320579529},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6183585524559021},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5297844409942627},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.49177315831184387},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43318259716033936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37605324387550354},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.366537481546402},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10311383008956909},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.09166696667671204}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6524490118026733},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6264123320579529},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6183585524559021},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5297844409942627},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.49177315831184387},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43318259716033936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37605324387550354},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.366537481546402},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10311383008956909},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.09166696667671204},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.5220/0012424500003660","is_oa":true,"landing_page_url":"http://dx.doi.org/10.5220/0012424500003660","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2403.01407","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.01407","pdf_url":"https://arxiv.org/pdf/2403.01407","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:repository.lsu.edu:eecs_pubs-3531","is_oa":true,"landing_page_url":"https://repository.lsu.edu/eecs_pubs/2529","pdf_url":null,"source":{"id":"https://openalex.org/S4210169993","display_name":"Civil War Book Review","issn_l":"1528-6592","issn":["1528-6592"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310315936","host_organization_name":"Louisiana State University","host_organization_lineage":["https://openalex.org/P4310315936"],"host_organization_lineage_names":["Louisiana State University"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Publications","raw_type":"text"}],"best_oa_location":{"id":"doi:10.5220/0012424500003660","is_oa":true,"landing_page_url":"http://dx.doi.org/10.5220/0012424500003660","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6100000143051147}],"awards":[{"id":"https://openalex.org/G3215833910","display_name":null,"funder_award_id":"-1946231","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4439180760","display_name":"RII Track-1: Louisiana Materials Design Alliance (LAMDA)","funder_award_id":"1946231","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G671402997","display_name":null,"funder_award_id":"OIA-1946231","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W206063426","https://openalex.org/W1986473362","https://openalex.org/W1998624933","https://openalex.org/W2024039087","https://openalex.org/W2057613585","https://openalex.org/W2160821342","https://openalex.org/W2539813577","https://openalex.org/W2560609797","https://openalex.org/W2586114507","https://openalex.org/W2594519801","https://openalex.org/W2750339080","https://openalex.org/W2921267609","https://openalex.org/W2948410735","https://openalex.org/W2963121255","https://openalex.org/W2964266557","https://openalex.org/W3000575179","https://openalex.org/W3005456310","https://openalex.org/W3034885317","https://openalex.org/W3039448353","https://openalex.org/W3116564952","https://openalex.org/W3124633807","https://openalex.org/W3137532436","https://openalex.org/W3137905681","https://openalex.org/W3147694436","https://openalex.org/W3168377947","https://openalex.org/W3214129952","https://openalex.org/W4200376986","https://openalex.org/W4206008758","https://openalex.org/W4312203676","https://openalex.org/W4361802179","https://openalex.org/W4385245566","https://openalex.org/W4392795683"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W3150465815","https://openalex.org/W1997222214","https://openalex.org/W2114282491","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Point":[0],"cloud":[1,35,83,194],"segmentation,":[2],"which":[3],"helps":[4],"us":[5],"understand":[6],"the":[7,107,119,138,169],"environment":[8],"of":[9,80,121,131,182],"specific":[10],"structures":[11],"and":[12,19,43,144,176,202],"objects,":[13],"can":[14,126],"be":[15,95],"performed":[16],"in":[17,76,114,198],"class-specific":[18,145],"class-agnostic":[20,33,143],"ways.":[21],"We":[22],"propose":[23],"a":[24,40,51,86,111,115,179,188],"novel":[25],"region-based":[26],"transformer":[27],"model":[28,38,140,154,186],"called":[29],"Region-Transformer":[30,139,185],"for":[31,171,191],"performing":[32,81],"point":[34,63,82,193],"segmentation.":[36,84],"The":[37,153,184],"utilizes":[39],"region-growth":[41,87,116,124],"approach":[42,88,190],"self-attention":[44,112,122],"mechanism":[45,113],"to":[46,94,97,109,123,157,178],"iteratively":[47],"expand":[48],"or":[49,55],"contract":[50],"region":[52],"by":[53],"adding":[54],"removing":[56],"points.":[57],"It":[58],"is":[59],"trained":[60],"on":[61,147],"simulated":[62],"clouds":[64],"with":[65,89,196],"instance":[66],"labels":[67,173],"only,":[68],"avoiding":[69,168],"semantic":[70,172],"labels.":[71],"Attention-based":[72],"networks":[73,91],"have":[74],"succeeded":[75],"many":[77],"previous":[78,142],"methods":[79,146],"However,":[85],"attention-based":[90],"has":[92],"yet":[93],"used":[96],"explore":[98],"its":[99],"performance":[100],"gain.":[101],"To":[102],"our":[103,134],"knowledge,":[104],"we":[105],"are":[106],"first":[108],"use":[110],"approach.":[117],"With":[118],"introduction":[120],"that":[125,137],"utilize":[127],"local":[128],"contextual":[129],"information":[130],"neighborhood":[132],"points,":[133],"experiments":[135],"demonstrate":[136],"outperforms":[141],"indoor":[148],"datasets":[149],"regarding":[150],"clustering":[151],"metrics.":[152],"generalizes":[155],"well":[156],"large-scale":[158],"scenes.":[159],"Key":[160],"advantages":[161],"include":[162],"capturing":[163],"long-range":[164],"dependencies":[165],"through":[166],"self-attention,":[167],"need":[170],"during":[174],"training,":[175],"applicability":[177],"variable":[180],"number":[181],"objects.":[183],"represents":[187],"promising":[189],"flexible":[192],"segmentation":[195],"applications":[197],"robotics,":[199],"digital":[200],"twinning,":[201],"autonomous":[203],"vehicles.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2024-03-05T00:00:00"}
