{"id":"https://openalex.org/W4226034591","doi":"https://doi.org/10.1109/tgrs.2022.3168555","title":"Background-Aware 3-D Point Cloud Segmentation With Dynamic Point Feature Aggregation","display_name":"Background-Aware 3-D Point Cloud Segmentation With Dynamic Point Feature Aggregation","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4226034591","doi":"https://doi.org/10.1109/tgrs.2022.3168555"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3168555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3168555","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.osti.gov/servlets/purl/1884976","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030992210","display_name":"Jiajing Chen","orcid":"https://orcid.org/0000-0003-0523-4132"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jiajing Chen","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009788938","display_name":"Burak Kakillioglu","orcid":"https://orcid.org/0000-0001-5649-1839"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Burak Kakillioglu","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004337702","display_name":"Senem Velipasalar","orcid":"https://orcid.org/0000-0002-1430-1555"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Senem Velipasalar","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030992210"],"corresponding_institution_ids":["https://openalex.org/I70983195"],"apc_list":null,"apc_paid":null,"fwci":12.4215,"has_fulltext":true,"cited_by_count":42,"citation_normalized_percentile":{"value":0.98761095,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9994000196456909,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9990000128746033,"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":0.9988999962806702,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7927091121673584},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7774720191955566},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.733502209186554},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6586514711380005},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6025586724281311},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5447309017181396},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5064073801040649},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.4558384418487549}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7927091121673584},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7774720191955566},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.733502209186554},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6586514711380005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6025586724281311},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5447309017181396},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5064073801040649},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.4558384418487549},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2022.3168555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3168555","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:osti.gov:1884976","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1884976","pdf_url":"https://www.osti.gov/servlets/purl/1884976","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:osti.gov:1884976","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1884976","pdf_url":"https://www.osti.gov/servlets/purl/1884976","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G1065316766","display_name":null,"funder_award_id":"Award","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G2782353421","display_name":null,"funder_award_id":"(ARPA-E)","funder_id":"https://openalex.org/F4320332276","funder_display_name":"Advanced Research Projects Agency - Energy"},{"id":"https://openalex.org/G3255475563","display_name":null,"funder_award_id":"DE-AR0000940","funder_id":"https://openalex.org/F4320332276","funder_display_name":"Advanced Research Projects Agency - Energy"},{"id":"https://openalex.org/G3717247299","display_name":null,"funder_award_id":"ACI-1341006","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4265142103","display_name":null,"funder_award_id":"ACI-1341006","funder_id":"https://openalex.org/F4320309532","funder_display_name":"Syracuse University"},{"id":"https://openalex.org/G6755165505","display_name":null,"funder_award_id":"award","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6802645871","display_name":null,"funder_award_id":"DE-AR0000940","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G7514267391","display_name":"CC-NIE Networking Infrastructure: Enhancing the OrangeGrid - Upgrading the Syracuse Campus Network to Enable High Throughput Research Computing","funder_award_id":"1341006","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7694114412","display_name":null,"funder_award_id":"1816732","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","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/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320309532","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02"},{"id":"https://openalex.org/F4320332276","display_name":"Advanced Research Projects Agency - Energy","ror":"https://ror.org/03q1rgc19"},{"id":"https://openalex.org/F4320332815","display_name":"Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4226034591.pdf","grobid_xml":"https://content.openalex.org/works/W4226034591.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1522301498","https://openalex.org/W1644641054","https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1920022804","https://openalex.org/W2194775991","https://openalex.org/W2211722331","https://openalex.org/W2229637417","https://openalex.org/W2257534197","https://openalex.org/W2288432903","https://openalex.org/W2460657278","https://openalex.org/W2553307952","https://openalex.org/W2560023338","https://openalex.org/W2560609797","https://openalex.org/W2586114507","https://openalex.org/W2798297823","https://openalex.org/W2798777114","https://openalex.org/W2888754481","https://openalex.org/W2903414915","https://openalex.org/W2954258401","https://openalex.org/W2960986959","https://openalex.org/W2962701877","https://openalex.org/W2962724911","https://openalex.org/W2962731536","https://openalex.org/W2962928871","https://openalex.org/W2963037989","https://openalex.org/W2963053547","https://openalex.org/W2963121255","https://openalex.org/W2963226018","https://openalex.org/W2963281829","https://openalex.org/W2964253930","https://openalex.org/W2966152276","https://openalex.org/W2979750740","https://openalex.org/W2981199548","https://openalex.org/W2981983525","https://openalex.org/W2991216808","https://openalex.org/W2995932445","https://openalex.org/W3004482148","https://openalex.org/W3012494314","https://openalex.org/W3109154950","https://openalex.org/W3157424380","https://openalex.org/W3169071587","https://openalex.org/W3174510152","https://openalex.org/W3177330511","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6733367512","https://openalex.org/W6736612982","https://openalex.org/W6739778489","https://openalex.org/W6744580074","https://openalex.org/W6750379820","https://openalex.org/W6765299845"],"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/W4282934273"],"abstract_inverted_index":{"With":[0],"the":[1,45,71,75,86,129,136,148,155,174,178,189,220,237],"proliferation":[2],"of":[3,66,74,85,89,150,183,205,231],"LiDAR":[4],"sensors":[5],"and":[6,53,64,125,132,159,167,197,210,223],"3-D":[7,10,28,67,192,211],"vision":[8],"cameras,":[9],"point":[11,29,37,68,91],"cloud":[12,30],"analysis":[13],"has":[14,58],"attracted":[15],"significant":[16],"attention":[17,55],"in":[18,82,118,139],"recent":[19],"years.":[20],"In":[21,98,143],"this":[22],"article,":[23],"we":[24,77,153],"propose":[25,78],"a":[26,95,122,140,225],"novel":[27,162],"learning":[31],"network,":[32],"referred":[33],"to":[34,100,128,145,247],"as":[35],"dynamic":[36,51,87],"feature":[38,47],"aggregation":[39,48],"network":[40],"(DPFA-Net),":[41],"by":[42],"selectively":[43],"performing":[44],"neighborhood":[46,88],"(FA)":[49],"with":[50],"pooling":[52],"an":[54,79],"mechanism.":[56,97],"DPFA-Net":[57,176],"two":[59,161],"variants":[60],"for":[61,185,233],"semantic":[62,151,186,206],"segmentation":[63,102,187,235],"classification":[65],"clouds.":[69],"As":[70],"core":[72],"module":[73],"DPFA-Net,":[76],"FA":[80],"layer,":[81],"which":[83,104],"features":[84,106,114,138],"each":[90],"are":[92],"aggregated":[93],"via":[94],"self-attention":[96],"contrast":[99],"other":[101,248],"models,":[103],"aggregate":[105,113],"from":[107,115],"fixed":[108],"neighborhoods,":[109],"our":[110],"approach":[111],"can":[112],"different":[116,119,203],"neighbors":[117],"layers":[120],"providing":[121],"more":[123,134,244],"selective":[124],"broader":[126],"view":[127],"query":[130],"points":[131],"focusing":[133],"on":[135,188,219,236],"relevant":[137],"local":[141],"neighborhood.":[142],"addition,":[144],"further":[146],"improve":[147],"performance":[149,201],"segmentation,":[152,207,209],"exploit":[154],"background\u2013foreground":[156],"(BF)":[157],"information":[158],"present":[160],"approaches,":[163],"namely,":[164],"two-stage":[165],"BF-Net":[166],"BF":[168],"regularization.":[169],"Experimental":[170],"results":[171],"show":[172],"that":[173],"proposed":[175],"achieves":[177,216],"state-of-the-art":[179],"overall":[180],"accuracy":[181,218],"score":[182],"89.22%":[184],"Stanford":[190],"large-scale":[191],"Indoor":[193],"Spaces":[194],"(S3DIS)":[195],"dataset":[196,222],"provides":[198,224],"consistently":[199],"satisfactory":[200],"across":[202],"tasks":[204],"part":[208,234],"object":[212],"classification.":[213],"Our":[214],"model":[215],"93.1%":[217],"ModelNet40":[221],"mean":[226],"shape":[227],"intersection-over-union":[228],"(IoU)":[229],"value":[230],"85.5%":[232],"ShapeNet-Part":[238],"dataset.":[239],"It":[240],"is":[241],"also":[242],"computationally":[243],"efficient":[245],"compared":[246],"methods.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":7}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2022-05-05T00:00:00"}