{"id":"https://openalex.org/W4200292294","doi":"https://doi.org/10.1109/tpami.2021.3139113","title":"Towards Pointsets Representation Learning via Self-Supervised Learning and Set Augmentation","display_name":"Towards Pointsets Representation Learning via Self-Supervised Learning and Set Augmentation","publication_year":2021,"publication_date":"2021-12-30","ids":{"openalex":"https://openalex.org/W4200292294","doi":"https://doi.org/10.1109/tpami.2021.3139113","pmid":"https://pubmed.ncbi.nlm.nih.gov/34965205"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2021.3139113","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2021.3139113","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5003811309","display_name":"Pattaramanee Arsomngern","orcid":"https://orcid.org/0000-0002-3034-1178"},"institutions":[{"id":"https://openalex.org/I4210153049","display_name":"Vidyasirimedhi Institute of Science and Technology","ror":"https://ror.org/053jehz60","country_code":"TH","type":"education","lineage":["https://openalex.org/I4210153049"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Pattaramanee Arsomngern","raw_affiliation_strings":["School of Information Science and Technology, Vidyasirimedhi Institute of Science and Technology, Rayong, Thailand"],"raw_orcid":"https://orcid.org/0000-0002-3034-1178","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Vidyasirimedhi Institute of Science and Technology, Rayong, Thailand","institution_ids":["https://openalex.org/I4210153049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044528555","display_name":"Cheng Long","orcid":"https://orcid.org/0000-0001-6806-8405"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Cheng Long","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-6806-8405","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065745608","display_name":"Supasorn Suwajanakorn","orcid":"https://orcid.org/0000-0002-7267-9476"},"institutions":[{"id":"https://openalex.org/I4210153049","display_name":"Vidyasirimedhi Institute of Science and Technology","ror":"https://ror.org/053jehz60","country_code":"TH","type":"education","lineage":["https://openalex.org/I4210153049"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Supasorn Suwajanakorn","raw_affiliation_strings":["School of Information Science and Technology, Vidyasirimedhi Institute of Science and Technology, Rayong, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Vidyasirimedhi Institute of Science and Technology, Rayong, Thailand","institution_ids":["https://openalex.org/I4210153049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071030042","display_name":"Sarana Nutanong","orcid":"https://orcid.org/0000-0003-1068-850X"},"institutions":[{"id":"https://openalex.org/I4210153049","display_name":"Vidyasirimedhi Institute of Science and Technology","ror":"https://ror.org/053jehz60","country_code":"TH","type":"education","lineage":["https://openalex.org/I4210153049"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Sarana Nutanong","raw_affiliation_strings":["School of Information Science and Technology, Vidyasirimedhi Institute of Science and Technology, Rayong, Thailand"],"raw_orcid":"https://orcid.org/0000-0003-1068-850X","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Vidyasirimedhi Institute of Science and Technology, Rayong, Thailand","institution_ids":["https://openalex.org/I4210153049"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003811309"],"corresponding_institution_ids":["https://openalex.org/I4210153049"],"apc_list":null,"apc_paid":null,"fwci":0.4855,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.66449611,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"45","issue":"1","first_page":"1201","last_page":"1216"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9995999932289124,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9987000226974487,"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/T12290","display_name":"Human Motion and Animation","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7111567258834839},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6819409132003784},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.52793288230896},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5072402358055115},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49020272493362427},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4696219265460968},{"id":"https://openalex.org/keywords/self-representation","display_name":"Self representation","score":0.41317814588546753},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.4131413698196411},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3710714280605316}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7111567258834839},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6819409132003784},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.52793288230896},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5072402358055115},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49020272493362427},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4696219265460968},{"id":"https://openalex.org/C2988612419","wikidata":"https://www.wikidata.org/wiki/Q7448312","display_name":"Self representation","level":2,"score":0.41317814588546753},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.4131413698196411},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3710714280605316},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C15708023","wikidata":"https://www.wikidata.org/wiki/Q80083","display_name":"Humanities","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":2,"locations":[{"id":"doi:10.1109/tpami.2021.3139113","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2021.3139113","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:34965205","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34965205","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320313905","display_name":"PTT Public Company Limited","ror":"https://ror.org/056ksgr44"},{"id":"https://openalex.org/F4320320751","display_name":"Ministry of Education - Singapore","ror":"https://ror.org/01kcva023"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W658020064","https://openalex.org/W1594957066","https://openalex.org/W1920022804","https://openalex.org/W2096733369","https://openalex.org/W2101319014","https://openalex.org/W2143668817","https://openalex.org/W2144796873","https://openalex.org/W2157364932","https://openalex.org/W2254589950","https://openalex.org/W2555897561","https://openalex.org/W2560609797","https://openalex.org/W2598634450","https://openalex.org/W2786177956","https://openalex.org/W2798991696","https://openalex.org/W2935576361","https://openalex.org/W2949736877","https://openalex.org/W2952493731","https://openalex.org/W2953116911","https://openalex.org/W2953273646","https://openalex.org/W2962369866","https://openalex.org/W2963026686","https://openalex.org/W2963121255","https://openalex.org/W2963341956","https://openalex.org/W2963559058","https://openalex.org/W2963716836","https://openalex.org/W2963775347","https://openalex.org/W2963814162","https://openalex.org/W2965373594","https://openalex.org/W2969985801","https://openalex.org/W2979579363","https://openalex.org/W2991642706","https://openalex.org/W3005680577","https://openalex.org/W3012678641","https://openalex.org/W3035060554","https://openalex.org/W3035524453","https://openalex.org/W3036224891","https://openalex.org/W3042313988","https://openalex.org/W3095602948","https://openalex.org/W3100859887","https://openalex.org/W3116730076","https://openalex.org/W3171007011","https://openalex.org/W3175939672","https://openalex.org/W4288840809","https://openalex.org/W4385245566","https://openalex.org/W6621906925","https://openalex.org/W6635797942","https://openalex.org/W6640300118","https://openalex.org/W6685265622","https://openalex.org/W6730323794","https://openalex.org/W6735531217","https://openalex.org/W6739778489","https://openalex.org/W6739901393","https://openalex.org/W6744580074","https://openalex.org/W6748010250","https://openalex.org/W6748289832","https://openalex.org/W6755477022","https://openalex.org/W6763422710","https://openalex.org/W6764556126","https://openalex.org/W6765939562","https://openalex.org/W6766673545","https://openalex.org/W6774314701","https://openalex.org/W6779326418","https://openalex.org/W6779977557","https://openalex.org/W6780266381","https://openalex.org/W6780444311","https://openalex.org/W6784694379"],"related_works":["https://openalex.org/W2513638114","https://openalex.org/W2605677994","https://openalex.org/W4390062853","https://openalex.org/W2340127552","https://openalex.org/W4389256085","https://openalex.org/W3210156800","https://openalex.org/W3120327675","https://openalex.org/W2908248196","https://openalex.org/W3033485676","https://openalex.org/W2116310671"],"abstract_inverted_index":{"Deep":[0],"metric":[1,23,58],"learning":[2,6,24,46,59,102],"is":[3],"a":[4,10,55,71,78,95,137,146],"supervised":[5],"paradigm":[7],"to":[8,14,25,90],"construct":[9],"meaningful":[11],"vector":[12],"space":[13],"represent":[15],"complex":[16],"objects.":[17],"A":[18],"successful":[19],"application":[20],"of":[21,65,77],"deep":[22,57],"pointsets":[26],"means":[27],"that":[28,74,115],"we":[29],"can":[30,41,132,141],"avoid":[31],"expensive":[32],"retrieval":[33],"operations":[34],"on":[35,107],"objects":[36],"such":[37],"as":[38,136],"documents":[39],"and":[40,47,94,110,121,149],"significantly":[42],"facilitate":[43],"many":[44],"machine":[45],"data":[48],"mining":[49],"tasks":[50,144],"involving":[51],"pointsets.":[52,62],"We":[53],"propose":[54],"self-supervised":[56,130],"solution":[60,68],"for":[61,81,99],"The":[63,128],"novelty":[64],"our":[66,116],"proposed":[67,117],"lies":[69],"in":[70],"self-supervision":[72],"mechanism":[73],"makes":[75],"use":[76],"distribution":[79],"distance":[80],"set":[82],"ranking":[83],"called":[84],"the":[85,101,125],"Earth's":[86],"Mover":[87],"Distance":[88],"(EMD)":[89],"generate":[91],"pseudo":[92],"labels":[93],"pointset":[96],"augmentation":[97],"method":[98],"supporting":[100],"solution.":[103],"Our":[104],"experimental":[105],"studies":[106],"documents,":[108],"graphs,":[109],"point":[111],"clouds":[112],"datasets":[113],"show":[114],"solutions":[118],"outperform":[119,150],"baselines":[120],"state-of-the-art":[122,151],"approaches":[123],"under":[124],"unsupervised":[126],"settings.":[127],"learned":[129],"representation":[131],"also":[133],"be":[134],"used":[135],"pre-trained":[138],"model,":[139],"which":[140],"boost":[142],"downstream":[143],"with":[145],"fine-tuning":[147],"step":[148],"language":[152],"models.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}