{"id":"https://openalex.org/W3119423311","doi":"https://doi.org/10.1145/3436369.3437421","title":"N-DPC","display_name":"N-DPC","publication_year":2020,"publication_date":"2020-10-30","ids":{"openalex":"https://openalex.org/W3119423311","doi":"https://doi.org/10.1145/3436369.3437421","mag":"3119423311"},"language":"en","primary_location":{"id":"doi:10.1145/3436369.3437421","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3436369.3437421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 9th International Conference on Computing and Pattern Recognition","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071812261","display_name":"Guoyan Li","orcid":"https://orcid.org/0000-0003-3224-2824"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoyan Li","raw_affiliation_strings":["School of Informatics, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374691","display_name":"Yiping Chen","orcid":"https://orcid.org/0000-0003-1465-6599"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiping Chen","raw_affiliation_strings":["School of Informatics, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100767934","display_name":"Ming Cheng","orcid":"https://orcid.org/0000-0001-6480-6482"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Cheng","raw_affiliation_strings":["School of Informatics, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100416961","display_name":"Cheng Wang","orcid":"https://orcid.org/0000-0001-6075-796X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Wang","raw_affiliation_strings":["School of Informatics, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100613889","display_name":"Jonathan Li","orcid":"https://orcid.org/0000-0001-7899-0049"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jonathan Li","raw_affiliation_strings":["Department of Geography and Environmental Management, University of Waterloo, Waterloo, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography and Environmental Management, University of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5402,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.63316677,"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":"274","last_page":"279"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9997000098228455,"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":0.9997000098228455,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9958999752998352,"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":0.9944000244140625,"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":0.9082388877868652},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7022626996040344},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6742266416549683},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.568027138710022},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5480487942695618},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4798421561717987},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4194096624851227},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3847252130508423},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15307605266571045},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07383409142494202}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.9082388877868652},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7022626996040344},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6742266416549683},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.568027138710022},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5480487942695618},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4798421561717987},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4194096624851227},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3847252130508423},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15307605266571045},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07383409142494202},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3436369.3437421","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3436369.3437421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 9th International Conference on Computing and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5199999809265137}],"awards":[{"id":"https://openalex.org/G669247126","display_name":null,"funder_award_id":"41871380,U1605254","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2115579991","https://openalex.org/W2130558599","https://openalex.org/W2244833639","https://openalex.org/W2526468814","https://openalex.org/W2624503621","https://openalex.org/W2825559727","https://openalex.org/W2912607492","https://openalex.org/W2963121255","https://openalex.org/W3101921002","https://openalex.org/W4242177601","https://openalex.org/W6600018615","https://openalex.org/W6600281463","https://openalex.org/W6600538214","https://openalex.org/W6604277135","https://openalex.org/W6605891467"],"related_works":["https://openalex.org/W3016928466","https://openalex.org/W4389574804","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W3108295644","https://openalex.org/W1578717197","https://openalex.org/W2626737336","https://openalex.org/W4282934273","https://openalex.org/W1996690921","https://openalex.org/W39961996"],"abstract_inverted_index":{"Point":[0],"cloud":[1,53,150],"shape":[2],"completion":[3,34,54,103,122,151],"aims":[4],"to":[5,32,79,85,119],"reconstruct":[6],"complete":[7],"point":[8,12,16,36,44,52,80,108,125,149,163,173],"clouds":[9,17,37,109,174],"from":[10,25],"partial":[11,43],"clouds.":[13,126,164],"The":[14],"denser":[15],"are,":[18],"the":[19,64,91,99,121,135,166],"richer":[20],"information":[21,41,118],"they":[22],"contain.":[23],"Different":[24],"existing":[26,147],"methods":[27],"that":[28,134],"pay":[29],"more":[30],"attention":[31,61,77],"sparse":[33],"of":[35,42,66,101,123,131,162],"and":[38,69,113,116,128,153],"global":[39,70,82,117],"feature":[40,68,71,83],"clouds,":[45],"this":[46],"paper":[47],"proposes":[48],"a":[49,155],"novel":[50],"dense":[51,124],"network":[55],"called":[56],"N-DPC,":[57],"which":[58],"combines":[59],"self":[60,76],"unit":[62,78],"with":[63,146],"fusion":[65],"local":[67,115],"information.":[72],"First,":[73],"we":[74,97,105],"apply":[75],"clouds'":[81],"extraction":[84],"make":[86],"it":[87],"lay":[88],"emphasis":[89],"on":[90,142,175],"dependency":[92],"between":[93],"different":[94,159],"points.":[95],"Second,":[96],"adopt":[98],"method":[100,137],"multi-stage":[102],"where":[104],"obtain":[106],"coarse":[107],"at":[110],"first":[111],"stage":[112],"combine":[114],"achieve":[120],"Quantitative":[127],"qualitative":[129],"evaluations":[130],"experiments":[132],"demonstrate":[133],"proposed":[136,167],"has":[138],"achieved":[139],"better":[140],"performance":[141],"ShapeNet":[143],"dataset":[144],"compared":[145],"state-of-the-art":[148],"works":[152],"shows":[154],"good":[156],"robustness":[157],"for":[158,171],"missing":[160],"ratios":[161],"Additionally,":[165],"N-DPC":[168],"is":[169],"valid":[170],"real":[172],"KITTI":[176],"dataset.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2021-01-18T00:00:00"}
