{"id":"https://openalex.org/W4385257474","doi":"https://doi.org/10.1109/tcsvt.2023.3298755","title":"Multi-Granularity Interaction for Multi-Person 3D Motion Prediction","display_name":"Multi-Granularity Interaction for Multi-Person 3D Motion Prediction","publication_year":2023,"publication_date":"2023-07-25","ids":{"openalex":"https://openalex.org/W4385257474","doi":"https://doi.org/10.1109/tcsvt.2023.3298755"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2023.3298755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3298755","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Circuits and Systems for Video Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5100767209","display_name":"Chenchen Liu","orcid":"https://orcid.org/0009-0007-0839-3290"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenchen Liu","raw_affiliation_strings":["Wangxuan Institute of Computer Technology, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0007-0839-3290","affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028877572","display_name":"Yadong Mu","orcid":"https://orcid.org/0000-0001-7815-3750"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yadong Mu","raw_affiliation_strings":["Wangxuan Institute of Computer Technology, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7815-3750","affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.8509,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.75067634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"34","issue":"3","first_page":"1546","last_page":"1558"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9997000098228455,"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":0.9997000098228455,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9918000102043152,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/computer-science","display_name":"Computer science","score":0.7868245840072632},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.7249012589454651},{"id":"https://openalex.org/keywords/handshaking","display_name":"Handshaking","score":0.7061809301376343},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5780853629112244},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5345750451087952},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5210113525390625},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5034088492393494},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.46456921100616455},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.4493935704231262},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.439815491437912},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3141239285469055},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09012901782989502}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7868245840072632},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.7249012589454651},{"id":"https://openalex.org/C58861099","wikidata":"https://www.wikidata.org/wiki/Q548838","display_name":"Handshaking","level":2,"score":0.7061809301376343},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5780853629112244},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5345750451087952},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5210113525390625},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5034088492393494},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.46456921100616455},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.4493935704231262},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.439815491437912},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3141239285469055},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09012901782989502},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2023.3298755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3298755","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G3015833353","display_name":null,"funder_award_id":"2022ZD0160305","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5032044373","display_name":null,"funder_award_id":"Z190001","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"}],"funders":[{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W1573040851","https://openalex.org/W1586939924","https://openalex.org/W1735317348","https://openalex.org/W1902237438","https://openalex.org/W1947481528","https://openalex.org/W2012856192","https://openalex.org/W2124609748","https://openalex.org/W2220981600","https://openalex.org/W2424778531","https://openalex.org/W2519106163","https://openalex.org/W2594167370","https://openalex.org/W2607296803","https://openalex.org/W2766836212","https://openalex.org/W2769282630","https://openalex.org/W2771965516","https://openalex.org/W2803184913","https://openalex.org/W2883938080","https://openalex.org/W2888934629","https://openalex.org/W2891091472","https://openalex.org/W2895748257","https://openalex.org/W2896588340","https://openalex.org/W2915977493","https://openalex.org/W2940129212","https://openalex.org/W2940457086","https://openalex.org/W2962687116","https://openalex.org/W2963001155","https://openalex.org/W2963076818","https://openalex.org/W2963165299","https://openalex.org/W2963324990","https://openalex.org/W2963548793","https://openalex.org/W2964203186","https://openalex.org/W2966162142","https://openalex.org/W2969844053","https://openalex.org/W2976669726","https://openalex.org/W2982745079","https://openalex.org/W2983796203","https://openalex.org/W2983925976","https://openalex.org/W2984529706","https://openalex.org/W2985871763","https://openalex.org/W2990964949","https://openalex.org/W2991653934","https://openalex.org/W3011742000","https://openalex.org/W3034423770","https://openalex.org/W3034514130","https://openalex.org/W3034634510","https://openalex.org/W3035050855","https://openalex.org/W3045019771","https://openalex.org/W3046673529","https://openalex.org/W3047922786","https://openalex.org/W3048167774","https://openalex.org/W3083688670","https://openalex.org/W3084572050","https://openalex.org/W3097237405","https://openalex.org/W3101528994","https://openalex.org/W3108908812","https://openalex.org/W3109717189","https://openalex.org/W3114484401","https://openalex.org/W3115517346","https://openalex.org/W3157546044","https://openalex.org/W3174580732","https://openalex.org/W3184510571","https://openalex.org/W3194018559","https://openalex.org/W3195680250","https://openalex.org/W3203071852","https://openalex.org/W3204221554","https://openalex.org/W3205566952","https://openalex.org/W3205765769","https://openalex.org/W3205898917","https://openalex.org/W4214483958","https://openalex.org/W4226068486","https://openalex.org/W4230178929","https://openalex.org/W4289822576","https://openalex.org/W4385245566","https://openalex.org/W6631516269","https://openalex.org/W6677326919","https://openalex.org/W6679436768","https://openalex.org/W6687045409","https://openalex.org/W6726873649","https://openalex.org/W6765361892","https://openalex.org/W6803693659","https://openalex.org/W6839119880"],"related_works":["https://openalex.org/W2882999853","https://openalex.org/W1997191995","https://openalex.org/W2059936816","https://openalex.org/W2351312779","https://openalex.org/W2134415694","https://openalex.org/W3004736401","https://openalex.org/W4287870844","https://openalex.org/W2086619958","https://openalex.org/W1929120455","https://openalex.org/W2753556613"],"abstract_inverted_index":{"Multi-person":[0],"3D":[1,13],"motion":[2,14,25,270],"prediction":[3,26],"is":[4,73,181,209],"an":[5],"emerging":[6],"task":[7,32],"that":[8,136,201,217],"involves":[9,58],"predicting":[10],"the":[11,39,59,98,111,123,148,162,185,206,238,241,274,277,299],"future":[12],"of":[15,62,113,205,244,276,294,302],"multiple":[16,43,191],"individuals":[17,219],"based":[18],"on":[19,37,80,284],"current":[20,47],"observations.":[21],"In":[22,126,155],"contrast":[23],"to":[24,69,88,117,131,183,306],"for":[27,66],"a":[28,34,133,170,175,194,202,221,251],"single":[29],"person,":[30],"this":[31,92,119,127],"requires":[33],"strong":[35,222],"emphasis":[36],"learning":[38,210],"interacting":[40],"dynamics":[41],"among":[42,190],"individuals.":[44],"Broadly":[45],"speaking,":[46],"methods":[48],"can":[49,137],"be":[50],"categorized":[51],"into":[52],"two":[53,140,168,218],"groups:":[54],"The":[55,76,179,232,292],"first":[56],"group":[57,78],"straightforward":[60],"adaptation":[61],"models":[63],"originally":[64],"developed":[65],"single-person":[67],"scenarios":[68],"multi-person":[70],"scenarios,":[71],"which":[72],"evidently":[74],"suboptimal.":[75],"second":[77],"focuses":[79],"utilizing":[81],"off-the-shelf":[82],"tools":[83],"like":[84],"graph":[85],"convolutional":[86],"networks":[87],"model":[89,164,267,304],"interactions.":[90],"While":[91],"approach":[93],"has":[94,165],"shown":[95],"improved":[96],"results,":[97],"interactions":[99],"primarily":[100],"consider":[101],"entire":[102],"human":[103],"identities":[104],"rather":[105],"than":[106],"finer":[107],"details.":[108],"This":[109,247],"motivates":[110],"introduction":[112],"our":[114,266,303],"novel":[115,134],"solution":[116],"address":[118,139],"limitation":[120],"and":[121,151,174,187,290],"enhance":[122],"task\u2019s":[124],"performance.":[125],"work,":[128],"we":[129,198,280],"strive":[130],"craft":[132],"framework":[135],"effectively":[138],"key":[141],"issues":[142],"ignored":[143],"in":[144,157,193],"previous":[145,307],"works,":[146],"namely":[147],"multi-granularity":[149],"interaction":[150,172,177,189,235,239],"time-varying":[152],"inter-person":[153],"dynamics.":[154,212],"implementation":[156],"accord":[158],"with":[159],"above":[160],"aims,":[161],"proposed":[163,278],"mainly":[166],"comprised":[167],"modules:":[169],"person-level":[171],"module":[173,208,236,248],"part-level":[176,234],"module.":[178],"former":[180,207],"designed":[182],"learn":[184],"holistic":[186],"dynamic":[188],"persons":[192],"coarse-grained":[195],"sense.":[196],"Critically,":[197],"would":[199],"emphasize":[200],"unique":[203],"trait":[204],"temporal":[211],"For":[213],"example,":[214],"it":[215,256],"recognizes":[216],"exhibit":[220],"correlation":[223,228],"during":[224],"handshaking":[225],"but":[226],"less":[227],"after":[229],"parting":[230],"ways.":[231],"latter":[233],"learns":[237],"between":[240],"body":[242],"joints":[243],"different":[245],"persons.":[246],"operates":[249],"at":[250],"more":[252],"fine-grained":[253],"level,":[254],"distinguishing":[255],"from":[257,263],"existing":[258],"approaches.":[259],"By":[260],"aggregating":[261],"information":[262],"both":[264],"granularities,":[265],"enables":[268],"accurate":[269],"prediction.":[271],"To":[272],"validate":[273],"effectiveness":[275],"model,":[279],"conducted":[281],"comprehensive":[282],"experiments":[283],"three":[285],"benchmark":[286],"datasets:":[287],"3DPW,":[288],"CMU-Mocap,":[289],"MuPoTS-3D.":[291],"results":[293],"these":[295],"evaluations":[296],"unequivocally":[297],"demonstrate":[298],"empirical":[300],"superiority":[301],"compared":[305],"state-of-the-art":[308],"methods.":[309]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}