{"id":"https://openalex.org/W4200474852","doi":"https://doi.org/10.1109/tpami.2021.3135117","title":"Deep Hierarchical Representation of Point Cloud Videos via Spatio-Temporal Decomposition","display_name":"Deep Hierarchical Representation of Point Cloud Videos via Spatio-Temporal Decomposition","publication_year":2021,"publication_date":"2021-12-14","ids":{"openalex":"https://openalex.org/W4200474852","doi":"https://doi.org/10.1109/tpami.2021.3135117","pmid":"https://pubmed.ncbi.nlm.nih.gov/34905491"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2021.3135117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2021.3135117","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/A5002207978","display_name":"Hehe Fan","orcid":"https://orcid.org/0000-0001-9572-2345"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Hehe Fan","raw_affiliation_strings":["School of Computing, National University of Singapore, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-9572-2345","affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003076238","display_name":"Xin Yu","orcid":"https://orcid.org/0000-0002-0269-5649"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xin Yu","raw_affiliation_strings":["Center for Artificial Intelligence, University of Technology Sydney, Ultimo, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0269-5649","affiliations":[{"raw_affiliation_string":"Center for Artificial Intelligence, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005421447","display_name":"Yi Yang","orcid":"https://orcid.org/0000-0002-0512-880X"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Yang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016415049","display_name":"Mohan Kankanhalli","orcid":"https://orcid.org/0000-0002-4846-2015"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Mohan Kankanhalli","raw_affiliation_strings":["School of Computing, National University of Singapore, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-4846-2015","affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002207978"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":3.2003,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.9345535,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"44","issue":"12","first_page":"9918","last_page":"9930"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9986000061035156,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9975000023841858,"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/point-cloud","display_name":"Point cloud","score":0.9139679670333862},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7377049326896667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.59135502576828},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5292173027992249},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.48770198225975037},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47341758012771606},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.46427103877067566},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4064309895038605},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17371270060539246},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08360788226127625}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.9139679670333862},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7377049326896667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.59135502576828},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5292173027992249},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.48770198225975037},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47341758012771606},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.46427103877067566},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4064309895038605},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17371270060539246},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08360788226127625},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2021.3135117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2021.3135117","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:34905491","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34905491","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":[],"awards":[{"id":"https://openalex.org/G3616239415","display_name":null,"funder_award_id":"A18A2b0046","funder_id":"https://openalex.org/F4320320696","funder_display_name":"Agency for Science, Technology and Research"}],"funders":[{"id":"https://openalex.org/F4320320696","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1777221758","https://openalex.org/W1923404803","https://openalex.org/W2024868105","https://openalex.org/W2054041160","https://openalex.org/W2085735683","https://openalex.org/W2091911422","https://openalex.org/W2143267104","https://openalex.org/W2144380653","https://openalex.org/W2156303437","https://openalex.org/W2173046955","https://openalex.org/W2431874326","https://openalex.org/W2507009361","https://openalex.org/W2555618208","https://openalex.org/W2560609797","https://openalex.org/W2594519801","https://openalex.org/W2777300582","https://openalex.org/W2799211965","https://openalex.org/W2807968599","https://openalex.org/W2944006115","https://openalex.org/W2948058585","https://openalex.org/W2948246283","https://openalex.org/W2962771259","https://openalex.org/W2962824791","https://openalex.org/W2962934715","https://openalex.org/W2963121255","https://openalex.org/W2963125977","https://openalex.org/W2963155035","https://openalex.org/W2963231572","https://openalex.org/W2963288541","https://openalex.org/W2963524571","https://openalex.org/W2963680153","https://openalex.org/W2964134613","https://openalex.org/W2971686478","https://openalex.org/W2979750740","https://openalex.org/W2980815547","https://openalex.org/W2981774933","https://openalex.org/W2988715931","https://openalex.org/W2990613095","https://openalex.org/W2990974996","https://openalex.org/W2996150306","https://openalex.org/W3000681136","https://openalex.org/W3032945613","https://openalex.org/W3034213511","https://openalex.org/W3047080960","https://openalex.org/W3114753236","https://openalex.org/W3127173651","https://openalex.org/W3132408010","https://openalex.org/W3168718178","https://openalex.org/W6640257725","https://openalex.org/W6682864246","https://openalex.org/W6739778489","https://openalex.org/W6763422710","https://openalex.org/W6765327356","https://openalex.org/W6769691525","https://openalex.org/W6779008929","https://openalex.org/W6781924870","https://openalex.org/W6789930856"],"related_works":["https://openalex.org/W2936725271","https://openalex.org/W3016928466","https://openalex.org/W3150655618","https://openalex.org/W2626737336","https://openalex.org/W2005998065","https://openalex.org/W2562256921","https://openalex.org/W2979603868","https://openalex.org/W2862230042","https://openalex.org/W2980582925","https://openalex.org/W3126423817"],"abstract_inverted_index":{"In":[0],"point":[1,4,11,30,46,57,63,87,95,125,192],"cloud":[2,31,47,58,193],"videos,":[3,59],"coordinates":[5],"are":[6,89],"irregular":[7],"and":[8,15,71,78,80,121,146,177,189,196],"unordered":[9],"but":[10],"timestamps":[12],"exhibit":[13],"regularities":[14],"order.":[16],"Grid-based":[17],"networks":[18],"for":[19],"conventional":[20],"video":[21,99,194],"processing":[22],"cannot":[23],"be":[24],"directly":[25,43],"used":[26,151],"to":[27,50,107,134,152,186],"model":[28],"raw":[29,45],"videos.":[32,48],"Therefore,":[33],"in":[34,101,143,191],"this":[35],"work,":[36],"we":[37,60,118,182],"propose":[38],"a":[39,62,66,102,129,144,147],"point-based":[40],"network":[41,166,199],"that":[42],"handles":[44],"First,":[49],"preserve":[51],"the":[52,82,86,94,109,112,136,154,157,161,164,184,198],"spatio-temporal":[53],"local":[54,67,137],"structure":[55,100,138],"of":[56,111,139,156],"design":[61],"tube":[64,96,126,145],"covering":[65],"range":[68],"along":[69,160],"spatial":[70,83,113,130,141,158],"temporal":[72,116,148],"dimensions.":[73],"By":[74],"progressively":[75],"subsampling":[76],"frames":[77],"points":[79],"enlarging":[81],"radius":[84],"as":[85],"features":[88],"fed":[90],"into":[91],"higher-level":[92],"layers,":[93],"can":[97],"capture":[98],"spatio-temporally":[103],"hierarchical":[104],"manner.":[105],"Second,":[106],"reduce":[108],"impact":[110],"irregularity":[114],"on":[115,170],"modeling,":[117],"decompose":[119,187],"space":[120,188],"time":[122,190],"when":[123],"extracting":[124],"representations.":[127],"Specifically,":[128],"operation":[131,149],"is":[132,150],"employed":[133],"encode":[135,153],"each":[140],"region":[142],"dynamics":[155],"regions":[159],"tube.":[162],"Empirically,":[163],"proposed":[165],"shows":[167],"strong":[168],"performance":[169],"3D":[171],"action":[172],"recognition,":[173],"4D":[174],"semantic":[175],"segmentation":[176],"scene":[178],"flow":[179],"estimation.":[180],"Theoretically,":[181],"analyse":[183],"necessity":[185],"modeling":[195],"why":[197],"outperforms":[200],"existing":[201],"methods.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":7}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}