{"id":"https://openalex.org/W3091200607","doi":"https://doi.org/10.1109/icra40945.2020.9197242","title":"3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection","display_name":"3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3091200607","doi":"https://doi.org/10.1109/icra40945.2020.9197242","mag":"3091200607"},"language":"en","primary_location":{"id":"doi:10.1109/icra40945.2020.9197242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra40945.2020.9197242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://wrap.warwick.ac.uk/135683/7/WRAP-3DCFS-Fast-joint-3D-semantic-segmentation-Wen-2020.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019528776","display_name":"Liang Du","orcid":"https://orcid.org/0000-0002-7952-5736"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210164150","display_name":"Shanghai Center for Brain Science and Brain-Inspired Technology","ror":"https://ror.org/0551a0y31","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210164150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Du","raw_affiliation_strings":["Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, China","institution_ids":["https://openalex.org/I4210164150","https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053323783","display_name":"Jingang Tan","orcid":"https://orcid.org/0000-0002-4523-7111"},"institutions":[{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingang Tan","raw_affiliation_strings":["Chinese Academy of Sciences, Shanghai Institute of Microsystem and Information Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Shanghai Institute of Microsystem and Information Technology, Shanghai, China","institution_ids":["https://openalex.org/I4210147322"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003418019","display_name":"Xiangyang Xue","orcid":"https://orcid.org/0000-0002-4897-9209"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyang Xue","raw_affiliation_strings":["School of Computer Science, Fudan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100349900","display_name":"Lili Chen","orcid":"https://orcid.org/0000-0002-9965-8990"},"institutions":[{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lili Chen","raw_affiliation_strings":["Chinese Academy of Sciences, Shanghai Institute of Microsystem and Information Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Shanghai Institute of Microsystem and Information Technology, Shanghai, China","institution_ids":["https://openalex.org/I4210147322"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053684989","display_name":"Hongkai Wen","orcid":"https://orcid.org/0000-0003-1159-090X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210164150","display_name":"Shanghai Center for Brain Science and Brain-Inspired Technology","ror":"https://ror.org/0551a0y31","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210164150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongkai Wen","raw_affiliation_strings":["Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, China","institution_ids":["https://openalex.org/I4210164150","https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080019095","display_name":"Jianfeng Feng","orcid":"https://orcid.org/0000-0002-9328-5732"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210164150","display_name":"Shanghai Center for Brain Science and Brain-Inspired Technology","ror":"https://ror.org/0551a0y31","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210164150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Feng","raw_affiliation_strings":["Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, China","institution_ids":["https://openalex.org/I4210164150","https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035418350","display_name":"Jiamao Li","orcid":"https://orcid.org/0000-0002-7478-4544"},"institutions":[{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiamao Li","raw_affiliation_strings":["Chinese Academy of Sciences, Shanghai Institute of Microsystem and Information Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Shanghai Institute of Microsystem and Information Technology, Shanghai, China","institution_ids":["https://openalex.org/I4210147322"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100403837","display_name":"Xiaolin Zhang","orcid":"https://orcid.org/0000-0003-3307-9838"},"institutions":[{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolin Zhang","raw_affiliation_strings":["Chinese Academy of Sciences, Shanghai Institute of Microsystem and Information Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Shanghai Institute of Microsystem and Information Technology, Shanghai, China","institution_ids":["https://openalex.org/I4210147322"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1611,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.86695875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"6868","last_page":"6875"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998000264167786,"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":0.9998000264167786,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9969000220298767,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9940999746322632,"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/computer-science","display_name":"Computer science","score":0.8330507278442383},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6872683167457581},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.663831353187561},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6204774379730225},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5104045271873474},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5085183382034302},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.47417938709259033},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43106186389923096},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4302595555782318},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4259258508682251},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4156811237335205},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34533703327178955}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8330507278442383},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6872683167457581},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.663831353187561},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6204774379730225},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5104045271873474},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5085183382034302},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.47417938709259033},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43106186389923096},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4302595555782318},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4259258508682251},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4156811237335205},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34533703327178955},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/icra40945.2020.9197242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra40945.2020.9197242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},{"id":"pmh:oai:wrap.warwick.ac.uk:135683","is_oa":true,"landing_page_url":null,"pdf_url":"http://wrap.warwick.ac.uk/135683/7/WRAP-3DCFS-Fast-joint-3D-semantic-segmentation-Wen-2020.pdf","source":{"id":"https://openalex.org/S4306400665","display_name":"Warwick Research Archive Portal (University of Warwick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39555362","host_organization_name":"University of Warwick","host_organization_lineage":["https://openalex.org/I39555362"],"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":"","raw_type":"Conference Item"}],"best_oa_location":{"id":"pmh:oai:wrap.warwick.ac.uk:135683","is_oa":true,"landing_page_url":null,"pdf_url":"http://wrap.warwick.ac.uk/135683/7/WRAP-3DCFS-Fast-joint-3D-semantic-segmentation-Wen-2020.pdf","source":{"id":"https://openalex.org/S4306400665","display_name":"Warwick Research Archive Portal (University of Warwick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39555362","host_organization_name":"University of Warwick","host_organization_lineage":["https://openalex.org/I39555362"],"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":"","raw_type":"Conference Item"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2341053655","display_name":null,"funder_award_id":"91630314","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6370758788","display_name":null,"funder_award_id":"B18015","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G8899475930","display_name":null,"funder_award_id":"2018SHZDZX01","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3091200607.pdf","grobid_xml":"https://content.openalex.org/works/W3091200607.grobid-xml"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W809122546","https://openalex.org/W1629010235","https://openalex.org/W1644641054","https://openalex.org/W1903029394","https://openalex.org/W1920022804","https://openalex.org/W2067191022","https://openalex.org/W2102605133","https://openalex.org/W2211722331","https://openalex.org/W2296478878","https://openalex.org/W2317851288","https://openalex.org/W2460657278","https://openalex.org/W2553307952","https://openalex.org/W2555751471","https://openalex.org/W2556802233","https://openalex.org/W2560609797","https://openalex.org/W2563705555","https://openalex.org/W2609719703","https://openalex.org/W2617767802","https://openalex.org/W2630837129","https://openalex.org/W2725320964","https://openalex.org/W2744404335","https://openalex.org/W2769312834","https://openalex.org/W2770174753","https://openalex.org/W2777795072","https://openalex.org/W2895472109","https://openalex.org/W2902302021","https://openalex.org/W2904316228","https://openalex.org/W2904332125","https://openalex.org/W2952787292","https://openalex.org/W2952819818","https://openalex.org/W2959771705","https://openalex.org/W2962676885","https://openalex.org/W2962701877","https://openalex.org/W2962731536","https://openalex.org/W2962759414","https://openalex.org/W2963121255","https://openalex.org/W2963150697","https://openalex.org/W2963226018","https://openalex.org/W2963231572","https://openalex.org/W2963281829","https://openalex.org/W2963517242","https://openalex.org/W2963890956","https://openalex.org/W2964266557","https://openalex.org/W2965391153","https://openalex.org/W2979750740","https://openalex.org/W2981199548","https://openalex.org/W2981392058","https://openalex.org/W2995182785","https://openalex.org/W3103830808","https://openalex.org/W4297818513","https://openalex.org/W6622964371","https://openalex.org/W6640300118","https://openalex.org/W6703933998","https://openalex.org/W6730203926","https://openalex.org/W6730410022","https://openalex.org/W6730528210","https://openalex.org/W6738829415","https://openalex.org/W6739696289","https://openalex.org/W6739778489","https://openalex.org/W6740023956","https://openalex.org/W6747904511","https://openalex.org/W6754849088","https://openalex.org/W6756639113","https://openalex.org/W6757128809","https://openalex.org/W6757204575","https://openalex.org/W6763422710","https://openalex.org/W6769040893","https://openalex.org/W6786014012"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W2086519370","https://openalex.org/W2028665553","https://openalex.org/W2087343574","https://openalex.org/W2535915176","https://openalex.org/W2105860728","https://openalex.org/W4287657826"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,34,57,75],"novel":[3,35],"fast":[4],"and":[5,22,45,50,102,126],"robust":[6],"3D":[7],"point":[8],"clouds":[9],"segmentation":[10,68],"framework":[11],"via":[12],"coupled":[13,36,58],"feature":[14,37],"selection,":[15],"named":[16,40],"3DCFS,":[17,72],"that":[18,42,78,112],"jointly":[19],"performs":[20],"semantic":[21,49],"instance":[23,51,67],"segmentation.":[24],"Inspired":[25],"by":[26],"the":[27,47,63,66,80,85,88,97,104,107],"human":[28],"scene":[29],"perception":[30],"process,":[31],"we":[32,73],"design":[33],"selection":[38],"module,":[39],"CFSM,":[41],"adaptively":[43],"selects":[44],"fuses":[46],"reciprocal":[48],"features":[52],"from":[53],"two":[54],"tasks":[55],"in":[56,70,121],"manner.":[59],"To":[60],"further":[61],"boost":[62],"performance":[64],"of":[65,87,106,123],"task":[69],"our":[71,113],"investigate":[74],"loss":[76],"function":[77],"helps":[79],"model":[81],"learn":[82],"to":[83],"balance":[84],"magnitudes":[86],"output":[89],"embedding":[90],"dimensions":[91],"during":[92],"training,":[93],"which":[94],"makes":[95],"calculating":[96],"Euclidean":[98],"distance":[99],"more":[100],"reliable":[101],"enhances":[103],"generalizability":[105],"model.":[108],"Extensive":[109],"experiments":[110],"demonstrate":[111],"3DCFS":[114],"outperforms":[115],"state-of-the-art":[116],"methods":[117],"on":[118],"benchmark":[119],"datasets":[120],"terms":[122],"accuracy,":[124],"speed":[125],"computational":[127],"cost.":[128],"Codes":[129],"are":[130],"available":[131],"at:":[132],"https://github.com/Biotan/3DCFS.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-24T13:16:06.693445","created_date":"2025-10-10T00:00:00"}