{"id":"https://openalex.org/W2963123724","doi":"https://doi.org/10.1609/aaai.v33i01.33018778","title":"Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network","display_name":"Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2963123724","doi":"https://doi.org/10.1609/aaai.v33i01.33018778","mag":"2963123724"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33018778","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018778","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4903/4776","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":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4903/4776","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007736125","display_name":"Xinhai Liu","orcid":"https://orcid.org/0000-0003-4200-4862"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinhai Liu","raw_affiliation_strings":["Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068597652","display_name":"Zhizhong Han","orcid":"https://orcid.org/0000-0001-9540-9973"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhizhong Han","raw_affiliation_strings":["University of Maryland, College Park"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101691399","display_name":"Yu-Shen Liu","orcid":"https://orcid.org/0000-0001-7305-1915"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Shen Liu","raw_affiliation_strings":["Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014079156","display_name":"Matthias Zwicker","orcid":"https://orcid.org/0000-0001-8630-5515"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthias Zwicker","raw_affiliation_strings":["University of Maryland"],"affiliations":[{"raw_affiliation_string":"University of Maryland","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5007736125"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":106.874,"has_fulltext":true,"cited_by_count":330,"citation_normalized_percentile":{"value":1.0,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"33","issue":"01","first_page":"8778","last_page":"8785"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9975000023841858,"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":0.9975000023841858,"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":0.9871000051498413,"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":0.9868000149726868,"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":0.725924015045166},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7068495154380798},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.61348557472229},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6074971556663513},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5776814818382263},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5601807236671448},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.555185854434967},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.522517204284668},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.513232946395874},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5122489333152771},{"id":"https://openalex.org/keywords/sequence-learning","display_name":"Sequence learning","score":0.48867109417915344},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.4750216603279114},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.46077388525009155},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41937416791915894}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.725924015045166},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7068495154380798},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.61348557472229},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6074971556663513},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5776814818382263},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5601807236671448},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.555185854434967},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.522517204284668},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.513232946395874},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5122489333152771},{"id":"https://openalex.org/C40506919","wikidata":"https://www.wikidata.org/wiki/Q7452469","display_name":"Sequence learning","level":2,"score":0.48867109417915344},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.4750216603279114},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.46077388525009155},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41937416791915894},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","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},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v33i01.33018778","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018778","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4903/4776","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"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33018778","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018778","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4903/4776","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":[{"score":0.75,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1667846981","display_name":"Synthesis and Processing of Non-Oxide Ceramic Powders for Nanostructured Materials","funder_award_id":"47220","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2563071080","display_name":null,"funder_award_id":"61472202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3725928023","display_name":null,"funder_award_id":"169151","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6655879750","display_name":null,"funder_award_id":"2018YFB0505400","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7095178771","display_name":"Die Kausalrelation als externe, fundierte oder interne Relation. Eine Analyse der neueren Kausalit\u00e4tsdebatte.","funder_award_id":"61472","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"},{"id":"https://openalex.org/G7736038510","display_name":"Internationalization of Corporate Research and Development into Singapore: A Dynamic Capability Perspective.","funder_award_id":"69151","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"},{"id":"https://openalex.org/G7997845436","display_name":"Starvation as a Weapon - Protection of the Population against Domestic Policies of Deliberate Starvation under International Law  (Working Title)","funder_award_id":"147220","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"},{"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/F4320320924","display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","ror":"https://ror.org/00yjd3n13"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963123724.pdf","grobid_xml":"https://content.openalex.org/works/W2963123724.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1644641054","https://openalex.org/W1902237438","https://openalex.org/W1920022804","https://openalex.org/W2102402541","https://openalex.org/W2119615570","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2157331557","https://openalex.org/W2211722331","https://openalex.org/W2293349265","https://openalex.org/W2394951287","https://openalex.org/W2522340145","https://openalex.org/W2556802233","https://openalex.org/W2560609797","https://openalex.org/W2606987267","https://openalex.org/W2624503621","https://openalex.org/W2772036063","https://openalex.org/W2796040722","https://openalex.org/W2798270772","https://openalex.org/W2893477965","https://openalex.org/W2898360221","https://openalex.org/W2950642167","https://openalex.org/W2962887844","https://openalex.org/W2962928871","https://openalex.org/W2963053547","https://openalex.org/W2963121255","https://openalex.org/W2963158438","https://openalex.org/W2963719584","https://openalex.org/W2964062501","https://openalex.org/W2979750740","https://openalex.org/W3163282598","https://openalex.org/W4254816979","https://openalex.org/W6640300118","https://openalex.org/W6666761814","https://openalex.org/W6676391964","https://openalex.org/W6679436768","https://openalex.org/W6696987079","https://openalex.org/W6712520605","https://openalex.org/W6749134779"],"related_works":["https://openalex.org/W2468279273","https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2952115151","https://openalex.org/W3208297503","https://openalex.org/W3119773509","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W4388405611","https://openalex.org/W2619127353"],"abstract_inverted_index":{"Exploring":[0],"contextual":[1,24,36,87],"information":[2,25,37,88],"in":[3,38,50,89,128,140,179],"the":[4,45,56,106,122,135,141,165],"local":[5,27,52,114,130],"region":[6,115],"is":[7,31,161],"important":[8],"for":[9,73,101],"shape":[10,82,180],"understanding":[11],"and":[12,182],"analysis.":[13],"Existing":[14],"studies":[15],"often":[16],"employ":[17],"hand-crafted":[18,39],"or":[19,40],"explicit":[20,41],"ways":[21],"to":[22,33,79,104,163],"encode":[23],"of":[26,59,112,124,143,167],"regions.":[28],"However,":[29],"it":[30,133],"hard":[32],"capture":[34,105],"fine-grained":[35,86],"manners,":[42],"such":[43],"as":[44],"correlation":[46,136],"between":[47,137],"different":[48,168],"areas":[49,111],"a":[51,68,90,96,129,149],"region,":[53],"which":[54],"limits":[55],"discriminative":[57],"ability":[58],"learned":[60],"features.":[61],"To":[62],"resolve":[63],"this":[64],"issue,":[65],"we":[66],"propose":[67],"novel":[69,91,97],"deep":[70],"learning":[71,99],"model":[72,100],"3D":[74,81],"point":[75,102],"clouds,":[76],"named":[77],"Point2Sequence,":[78],"learn":[80],"features":[83],"by":[84,108],"capturing":[85],"implicit":[92],"way.":[93],"Point2Sequence":[94,119,175],"employs":[95],"sequence":[98],"clouds":[103],"correlations":[107],"aggregating":[109,144],"multi-scale":[110],"each":[113,125],"with":[116],"attention.":[117],"Specifically,":[118],"first":[120],"learns":[121],"feature":[123],"area":[126,138,146,169],"scale":[127],"region.":[131],"Then,":[132],"captures":[134],"scales":[139,147],"process":[142],"all":[145],"using":[148],"recurrent":[150],"neural":[151],"network":[152],"(RNN)":[153],"based":[154],"encoder-decoder":[155],"structure,":[156],"where":[157],"an":[158],"attention":[159],"mechanism":[160],"proposed":[162],"highlight":[164],"importance":[166],"scales.":[170],"Experimental":[171],"results":[172],"show":[173],"that":[174],"achieves":[176],"state-of-the-art":[177],"performance":[178],"classification":[181],"segmentation":[183],"tasks.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":55},{"year":2023,"cited_by_count":34},{"year":2022,"cited_by_count":56},{"year":2021,"cited_by_count":75},{"year":2020,"cited_by_count":60},{"year":2019,"cited_by_count":24},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
