{"id":"https://openalex.org/W4288092002","doi":"https://doi.org/10.1145/3343031.3350960","title":"L2G Auto-encoder","display_name":"L2G Auto-encoder","publication_year":2019,"publication_date":"2019-10-15","ids":{"openalex":"https://openalex.org/W4288092002","doi":"https://doi.org/10.1145/3343031.3350960","mag":"2965615303"},"language":"en","primary_location":{"id":"doi:10.1145/3343031.3350960","doi":"https://doi.org/10.1145/3343031.3350960","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3350960","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"ACM International Conference on Multimedia (ACM MM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1908.00720","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007736125","display_name":"Xinhai Liu","orcid":"https://orcid.org/0000-0003-4200-4862","observed_orcids":["https://orcid.org/0000-0003-4200-4862"]},"institutions":[{"id":"https://openalex.org/I4405271667","display_name":"Beijing National Research Center for Information Science and Technology","ror":"https://ror.org/02tcm9e24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4405271667"]},{"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":"Xinhai Liu","raw_affiliation_strings":["School of Software, Tsinghua University &amp; Beijing National Research Center for Information Science and Technology (BNRist), Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University &amp; Beijing National Research Center for Information Science and Technology (BNRist), Beijing, China","institution_ids":["https://openalex.org/I4405271667","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","observed_orcids":["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":["Department of Computer Science, University of Maryland, College Park, MD, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Maryland, College Park, MD, China","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100636282","display_name":"Xin Wen","orcid":"https://orcid.org/0000-0003-1937-1875","observed_orcids":["https://orcid.org/0000-0003-1937-1875"]},"institutions":[{"id":"https://openalex.org/I4405271667","display_name":"Beijing National Research Center for Information Science and Technology","ror":"https://ror.org/02tcm9e24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4405271667"]},{"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":"Xin Wen","raw_affiliation_strings":["School of Software, Tsinghua University &amp; Beijing National Research Center for Information Science and Technology (BNRist), Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University &amp; Beijing National Research Center for Information Science and Technology (BNRist), Beijing, China","institution_ids":["https://openalex.org/I4405271667","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101691399","display_name":"Yu-Shen Liu","orcid":"https://orcid.org/0000-0001-7305-1915","observed_orcids":["https://orcid.org/0000-0001-7305-1915"]},"institutions":[{"id":"https://openalex.org/I4405271667","display_name":"Beijing National Research Center for Information Science and Technology","ror":"https://ror.org/02tcm9e24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4405271667"]},{"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":["School of Software, Tsinghua University &amp; Beijing National Research Center for Information Science and Technology (BNRist), Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University &amp; Beijing National Research Center for Information Science and Technology (BNRist), Beijing, China","institution_ids":["https://openalex.org/I4405271667","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","observed_orcids":["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":["Department of Computer Science, University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.059,"has_fulltext":false,"cited_by_count":78,"citation_normalized_percentile":{"value":0.98790648,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"989","last_page":"997"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":1.0,"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":1.0,"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-clouds","display_name":"point clouds","score":0.8309999704360962},{"id":"https://openalex.org/keywords/autoencoder","display_name":"autoencoder","score":0.8230000138282776},{"id":"https://openalex.org/keywords/hierarchical-self-attention","display_name":"hierarchical self-attention","score":0.8560000061988831},{"id":"https://openalex.org/keywords/point-cloud-upsampling","display_name":"point cloud upsampling","score":0.7590000033378601},{"id":"https://openalex.org/keywords/point-cloud-retrieval","display_name":"point cloud retrieval","score":0.8740000128746033}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.7490501403808594},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7480065822601318},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7354387044906616},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7299692630767822},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.7059285640716553},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.704140841960907},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6285069584846497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5046979188919067},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.481008380651474},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.4507068991661072},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44117191433906555},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4313713312149048},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4113653302192688},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37919384241104126},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35325759649276733},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32749754190444946},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12235689163208008},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09528103470802307},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3343031.3350960","doi":"https://doi.org/10.1145/3343031.3350960","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3350960","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"ACM International Conference on Multimedia (ACM MM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1908.00720","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1908.00720","pdf_url":"https://arxiv.org/pdf/1908.00720","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"mag:2965615303","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1908.00720","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1908.00720","doi":"https://doi.org/10.48550/arxiv.1908.00720","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1908.00720","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1908.00720","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1908.00720","pdf_url":"https://arxiv.org/pdf/1908.00720","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/11","score":0.800000011920929,"display_name":"Sustainable cities and communities"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1920022804","https://openalex.org/W2102402541","https://openalex.org/W2108444897","https://openalex.org/W2127911825","https://openalex.org/W2194775991","https://openalex.org/W2394951287","https://openalex.org/W2461132349","https://openalex.org/W2517836489","https://openalex.org/W2556802233","https://openalex.org/W2560609797","https://openalex.org/W2606987267","https://openalex.org/W2615230425","https://openalex.org/W2624503621","https://openalex.org/W2769205412","https://openalex.org/W2780605533","https://openalex.org/W2784996692","https://openalex.org/W2793066252","https://openalex.org/W2793251487","https://openalex.org/W2796426482","https://openalex.org/W2798270772","https://openalex.org/W2798314605","https://openalex.org/W2798965597","https://openalex.org/W2804078698","https://openalex.org/W2884154111","https://openalex.org/W2884355388","https://openalex.org/W2888486794","https://openalex.org/W2889300857","https://openalex.org/W2890018557","https://openalex.org/W2907928353","https://openalex.org/W2921891839","https://openalex.org/W2945774199","https://openalex.org/W2950991149","https://openalex.org/W2963053547","https://openalex.org/W2963123724","https://openalex.org/W2963158438","https://openalex.org/W2963390820","https://openalex.org/W2963443993","https://openalex.org/W2963446712","https://openalex.org/W2963680153","https://openalex.org/W2963719584","https://openalex.org/W2963727135","https://openalex.org/W2965157662","https://openalex.org/W2979750740","https://openalex.org/W3009750677","https://openalex.org/W4239072543"],"related_works":["https://openalex.org/W2062399876","https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W3176213335","https://openalex.org/W4285148633","https://openalex.org/W2275988210"],"abstract_inverted_index":{"Auto-encoder":[0],"is":[1,139],"an":[2,10,67],"important":[3,97],"architecture":[4],"to":[5,48,61,69,94,122],"understand":[6,155],"point":[7,57,137,156],"clouds":[8,58,157],"in":[9,77,105,128,145],"encoding":[11],"and":[12,53,100,149],"decoding":[13],"procedure":[14],"of":[15,25,36,56,74,109,126],"self":[16],"reconstruction.":[17,63],"Current":[18],"auto-encoder":[19,46],"mainly":[20],"focuses":[21],"on":[22,133],"the":[23,34,51,71,82,96,106,110,135],"learning":[24,35],"global":[26,29,54,62,136],"structure":[27,55],"by":[28,59],"shape":[30,146],"reconstruction,":[31],"while":[32],"ignoring":[33],"local":[37,52,60,79,130],"structures.":[38],"To":[39],"resolve":[40],"this":[41],"issue,":[42],"we":[43,87],"propose":[44],"Local-to-Global":[45],"(L2G-AE)":[47],"simultaneously":[49],"learn":[50],"Specifically,":[64],"L2G-AE":[65,113,153],"employs":[66,114],"encoder":[68],"encode":[70],"geometry":[72],"information":[73,107],"multiple":[75],"scales":[76,99,127],"a":[78,89,115,124,129],"region":[80],"at":[81,102],"same":[83],"time.":[84],"In":[85],"addition,":[86],"introduce":[88],"novel":[90],"hierarchical":[91],"self-attention":[92],"mechanism":[93],"highlight":[95],"points,":[98],"regions":[101],"different":[103],"levels":[104],"aggregation":[108],"encoder.":[111],"Simultaneously,":[112],"recurrent":[116],"neural":[117],"network":[118],"(RNN)":[119],"as":[120],"decoder":[121],"reconstruct":[123],"sequence":[125],"region,":[131],"based":[132],"which":[134],"cloud":[138],"incrementally":[140],"reconstructed.":[141],"Our":[142],"outperforming":[143],"results":[144],"classification,":[147],"retrieval":[148],"upsampling":[150],"show":[151],"that":[152],"can":[154],"better":[158],"than":[159],"state-of-the-art":[160],"methods.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":10}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2022-07-28T00:00:00"}
