{"id":"https://openalex.org/W2983951224","doi":"https://doi.org/10.1145/3355089.3356573","title":"RPM-Net","display_name":"RPM-Net","publication_year":2019,"publication_date":"2019-11-08","ids":{"openalex":"https://openalex.org/W2983951224","doi":"https://doi.org/10.1145/3355089.3356573","mag":"2983951224"},"language":"en","primary_location":{"id":"doi:10.1145/3355089.3356573","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3355089.3356573","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2006.14865","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101916750","display_name":"Zihao Yan","orcid":"https://orcid.org/0000-0003-2160-9109"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihao Yan","raw_affiliation_strings":["Shenzhen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013892799","display_name":"Ruizhen Hu","orcid":"https://orcid.org/0000-0002-6798-0336"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruizhen Hu","raw_affiliation_strings":["Shenzhen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101192158","display_name":"Xingguang Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingguang Yan","raw_affiliation_strings":["Shenzhen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002930722","display_name":"Luanmin Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luanmin Chen","raw_affiliation_strings":["Shenzhen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067529252","display_name":"Oliver van Kaick","orcid":"https://orcid.org/0000-0001-9869-6832"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Oliver Van Kaick","raw_affiliation_strings":["Carleton University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carleton University","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397026","display_name":"Hao Zhang","orcid":"https://orcid.org/0000-0003-1991-119X"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hao Zhang","raw_affiliation_strings":["Simon Fraser University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simon Fraser University","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034304352","display_name":"Hui Huang","orcid":"https://orcid.org/0000-0003-3212-0544"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Huang","raw_affiliation_strings":["Shenzhen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.2438,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.97037959,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"38","issue":"6","first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9991999864578247,"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":0.9991999864578247,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9991000294685364,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.994700014591217,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pointwise","display_name":"Pointwise","score":0.7314925789833069},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7241989374160767},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.7241711616516113},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7138022780418396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6571489572525024},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6432019472122192},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6059982776641846},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6036457419395447},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5601142644882202},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5028588175773621},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4884761869907379},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4851130247116089},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46133124828338623},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44750791788101196},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4437936842441559},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.442812979221344},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4199220538139343},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41311177611351013},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3467099666595459},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14149710536003113},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1320468783378601}],"concepts":[{"id":"https://openalex.org/C2777984123","wikidata":"https://www.wikidata.org/wiki/Q9248237","display_name":"Pointwise","level":2,"score":0.7314925789833069},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7241989374160767},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.7241711616516113},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7138022780418396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6571489572525024},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6432019472122192},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6059982776641846},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6036457419395447},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5601142644882202},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5028588175773621},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4884761869907379},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4851130247116089},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46133124828338623},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44750791788101196},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4437936842441559},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.442812979221344},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4199220538139343},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41311177611351013},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3467099666595459},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14149710536003113},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1320468783378601},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3355089.3356573","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3355089.3356573","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2006.14865","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2006.14865","pdf_url":"https://arxiv.org/pdf/2006.14865","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2006.14865","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2006.14865","pdf_url":"https://arxiv.org/pdf/2006.14865","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1500287723","https://openalex.org/W1584192457","https://openalex.org/W1673310716","https://openalex.org/W1933657216","https://openalex.org/W1996769203","https://openalex.org/W2012350342","https://openalex.org/W2016663152","https://openalex.org/W2023135124","https://openalex.org/W2033648651","https://openalex.org/W2055993143","https://openalex.org/W2056610823","https://openalex.org/W2115815548","https://openalex.org/W2145429668","https://openalex.org/W2150911782","https://openalex.org/W2156770905","https://openalex.org/W2467598065","https://openalex.org/W2513369196","https://openalex.org/W2514262209","https://openalex.org/W2519537448","https://openalex.org/W2527587652","https://openalex.org/W2606862842","https://openalex.org/W2769312834","https://openalex.org/W2770305773","https://openalex.org/W2794816985","https://openalex.org/W2806941686","https://openalex.org/W2884100062","https://openalex.org/W2890988173","https://openalex.org/W2963092440","https://openalex.org/W2963121255","https://openalex.org/W2964318715","https://openalex.org/W2980109758","https://openalex.org/W3098903961","https://openalex.org/W3122509788","https://openalex.org/W4246978856","https://openalex.org/W4301141993"],"related_works":["https://openalex.org/W2140020064","https://openalex.org/W143502885","https://openalex.org/W42113618","https://openalex.org/W2103468410","https://openalex.org/W1856228368","https://openalex.org/W2480115405","https://openalex.org/W3197542402","https://openalex.org/W2971527398","https://openalex.org/W82829784","https://openalex.org/W1025150868"],"abstract_inverted_index":{"We":[0,137],"introduce":[1],"RPM-Net,":[2],"a":[3,17,29,50,76,95,102,125,130,155],"deep":[4,121],"learning-based":[5],"approach":[6],"which":[7,47],"simultaneously":[8],"infers":[9],"movable":[10,72,163],"parts":[11,87],"and":[12,20,143,148],"hallucinates":[13],"their":[14],"motions":[15],"from":[16,113,124,146],"single,":[18],"un-segmented,":[19],"possibly":[21,160],"partial,":[22],"3D":[23,152],"point":[24,59],"cloud":[25],"shape.":[26],"RPM-Net":[27,83],"is":[28],"novel":[30],"Recurrent":[31],"Neural":[32],"Network":[33],"(RNN),":[34],"composed":[35],"of":[36,53,82,132,140,151,157],"an":[37],"encoder-decoder":[38],"pair":[39],"with":[40],"interleaved":[41],"Long":[42],"Short-Term":[43],"Memory":[44],"(LSTM)":[45],"components,":[46],"together":[48],"predict":[49,89],"temporal":[51],"sequence":[52],"pointwise":[54],"displacements":[55,66],"for":[56,134],"the":[57,62,65,68,85,114],"input":[58],"cloud.":[60],"At":[61],"same":[63],"time,":[64],"allow":[67],"network":[69,104],"to":[70,105],"learn":[71,120],"parts,":[73],"resulting":[74,93],"in":[75,94],"motion-based":[77],"shape":[78],"segmentation.":[79,98],"Recursive":[80],"applications":[81],"on":[84],"obtained":[86],"can":[88],"finer-level":[90],"part":[91,107,144,158],"motions,":[92],"hierarchical":[96],"object":[97],"Furthermore,":[99],"we":[100],"develop":[101],"separate":[103],"estimate":[106],"mobilities,":[108,159],"e.g.,":[109],"per-part":[110],"motion":[111,116,142],"parameters,":[112],"segmented":[115],"sequence.":[117],"Both":[118],"networks":[119],"predictive":[122],"models":[123],"training":[126],"set":[127],"that":[128],"exemplifies":[129],"variety":[131,156],"mobilities":[133],"diverse":[135],"objects.":[136],"show":[138],"results":[139],"simultaneous":[141],"predictions":[145],"synthetic":[147],"real":[149],"scans":[150],"objects":[153],"exhibiting":[154],"involving":[161],"multiple":[162],"parts.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2019-11-22T00:00:00"}
