{"id":"https://openalex.org/W4320008751","doi":"https://doi.org/10.1109/tpami.2023.3238411","title":"Graph Diffusion Convolutional Network for Skeleton Based Semantic Recognition of Two-Person Actions","display_name":"Graph Diffusion Convolutional Network for Skeleton Based Semantic Recognition of Two-Person Actions","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4320008751","doi":"https://doi.org/10.1109/tpami.2023.3238411","pmid":"https://pubmed.ncbi.nlm.nih.gov/37022018"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2023.3238411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3238411","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/A5100424132","display_name":"Shuai Li","orcid":"https://orcid.org/0000-0003-4182-1588"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Li","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4182-1588","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083329259","display_name":"Xinxue He","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinxue He","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8667-4337","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064016745","display_name":"Wenfeng Song","orcid":"https://orcid.org/0000-0002-5101-1071"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenfeng Song","raw_affiliation_strings":["Computer School, Beijing Information Science and Technology University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5101-1071","affiliations":[{"raw_affiliation_string":"Computer School, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035153076","display_name":"Aimin Hao","orcid":"https://orcid.org/0000-0002-5774-6706"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aimin Hao","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091408797","display_name":"Hong Qin","orcid":"https://orcid.org/0000-0001-7699-1355"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hong Qin","raw_affiliation_strings":["Department of Computer Science, Stony Brook University, Stony Brook, USA"],"raw_orcid":"https://orcid.org/0000-0001-7699-1355","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Stony Brook University, Stony Brook, USA","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0401,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.8752219,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"45","issue":"7","first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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":1.0,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.7337246537208557},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.6794371604919434},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5500614643096924},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.4943046569824219},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.48019230365753174},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47120827436447144},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45613083243370056},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.44506993889808655},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.42846834659576416},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2805153429508209}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7337246537208557},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.6794371604919434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5500614643096924},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.4943046569824219},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.48019230365753174},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47120827436447144},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45613083243370056},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.44506993889808655},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.42846834659576416},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2805153429508209},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2023.3238411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3238411","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:37022018","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37022018","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":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1662382123","https://openalex.org/W2003994100","https://openalex.org/W2056898157","https://openalex.org/W2058256495","https://openalex.org/W2101491865","https://openalex.org/W2116341502","https://openalex.org/W2156303437","https://openalex.org/W2284126738","https://openalex.org/W2510185399","https://openalex.org/W2603861860","https://openalex.org/W2739179646","https://openalex.org/W2750863408","https://openalex.org/W2906270977","https://openalex.org/W2940457086","https://openalex.org/W2944006115","https://openalex.org/W2948058585","https://openalex.org/W2948246283","https://openalex.org/W2954146807","https://openalex.org/W2962730651","https://openalex.org/W2963076818","https://openalex.org/W2963315828","https://openalex.org/W2963369114","https://openalex.org/W2963465695","https://openalex.org/W2963524571","https://openalex.org/W2963809593","https://openalex.org/W2964113829","https://openalex.org/W2964134613","https://openalex.org/W2966210862","https://openalex.org/W2974686944","https://openalex.org/W2978927732","https://openalex.org/W2994857106","https://openalex.org/W3008580944","https://openalex.org/W3009946848","https://openalex.org/W3035050855","https://openalex.org/W3035225512","https://openalex.org/W3049455300","https://openalex.org/W3090067260","https://openalex.org/W3108279098","https://openalex.org/W3108496296","https://openalex.org/W3123784868","https://openalex.org/W3125082963","https://openalex.org/W3174836262","https://openalex.org/W3185273257","https://openalex.org/W3202944637","https://openalex.org/W3215030504","https://openalex.org/W4230005465","https://openalex.org/W4385245566","https://openalex.org/W6637178625","https://openalex.org/W6682864246","https://openalex.org/W6685350579","https://openalex.org/W6713582119","https://openalex.org/W6720006811","https://openalex.org/W6752411098","https://openalex.org/W6766892243"],"related_works":["https://openalex.org/W4213150077","https://openalex.org/W2369410163","https://openalex.org/W2982430984","https://openalex.org/W2059018062","https://openalex.org/W2604585036","https://openalex.org/W2078477160","https://openalex.org/W1991172810","https://openalex.org/W125803343","https://openalex.org/W1989103179","https://openalex.org/W3213878615"],"abstract_inverted_index":{"Graph":[0],"Convolutional":[1],"Networks":[2],"(GCNs)":[3],"have":[4],"successfully":[5],"boosted":[6],"skeleton-based":[7,71],"human":[8,72],"action":[9,22,30,34,42,73,155],"recognition.":[10,43],"However,":[11],"existing":[12],"GCN-based":[13],"methods":[14,75],"mostly":[15],"cast":[16],"the":[17,26,29,33,38,53,58,79,83,103,112,115,138,149,162,173,187,192,196,215,240,243,249,275],"problem":[18],"as":[19],"separated":[20],"person's":[21],"recognition":[23,74,132],"while":[24],"ignoring":[25],"interaction":[27],"between":[28],"initiator":[31],"and":[32,227,230,254,268],"responder,":[35],"especially":[36],"for":[37,128,231],"fundamental":[39],"two-person":[40,59,134],"interactive":[41],"It":[44,88],"is":[45],"still":[46],"challenging":[47],"to":[48,77,178,201,219,238],"effectively":[49],"take":[50],"into":[51,141],"account":[52],"intrinsic":[54],"local-global":[55],"clues":[56],"of":[57,102,114,133,248],"activity.":[60],"Additionally,":[61],"message":[62,163],"passing":[63],"in":[64,106,165],"GCN":[65],"depends":[66],"on":[67,153,257],"adjacency":[68,80,150],"matrix,":[69],"but":[70],"tend":[76],"calculate":[78],"matrix":[81,151],"with":[82],"fixed":[84,97],"natural":[85],"skeleton":[86,129],"connectivity.":[87],"means":[89],"that":[90,158,183,271],"messages":[91],"can":[92,160,185],"only":[93],"travel":[94],"along":[95],"a":[96,122,166],"path":[98],"at":[99],"different":[100,107,232,234],"layers":[101],"network":[104,127],"or":[105,205],"actions,":[108],"which":[109],"greatly":[110],"reduces":[111],"flexibility":[113],"network.":[116],"To":[117],"this":[118],"end,":[119],"we":[120,146,159,171,184,212],"propose":[121],"novel":[123],"graph":[124,139],"diffusion":[125,140],"convolutional":[126],"based":[130,152],"semantic":[131],"actions":[135],"by":[136,191,208],"embedding":[137],"GCNs.":[142],"At":[143],"technical":[144],"fronts,":[145],"dynamically":[147],"construct":[148],"practical":[154],"information,":[156],"so":[157,182],"guide":[161],"propagation":[164],"more":[167],"meaningful":[168],"way.":[169],"Simultaneously,":[170],"introduce":[172],"frame":[174],"importance":[175],"calculation":[176],"module":[177],"conduct":[179],"dynamic":[180],"convolution,":[181,194],"avoid":[186],"negative":[188],"effect":[189],"caused":[190],"traditional":[193],"wherein":[195],"shared":[197],"weights":[198],"may":[199],"fail":[200],"capture":[202],"key":[203],"frames":[204],"be":[206],"affected":[207],"noisy":[209],"frames.":[210],"Besides,":[211],"comprehensively":[213],"leverage":[214],"multidimensional":[216],"features":[217],"related":[218],"joints'":[220],"local":[221],"visual":[222],"appearances,":[223],"global":[224],"spatial":[225],"relationship":[226],"temporal":[228],"coherency,":[229],"features,":[233],"metrics":[235],"are":[236],"designed":[237],"measure":[239],"similarity":[241],"underlying":[242],"corresponding":[244],"real":[245],"physical":[246],"law":[247],"motions.":[250],"Moreover,":[251],"extensive":[252],"experiments":[253],"comprehensive":[255],"evaluations":[256],"four":[258],"public":[259],"large-scale":[260],"datasets":[261],"(NTU-RGB+D":[262],"60,":[263],"NTU-RGB+D":[264],"120,":[265],"Kinetics-Skeleton":[266],"400,":[267],"SBU-Interaction)":[269],"demonstrate":[270],"our":[272],"method":[273],"outperforms":[274],"state-of-the-art":[276],"methods.":[277]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":5}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}