{"id":"https://openalex.org/W3190950662","doi":"https://doi.org/10.1109/tcds.2021.3103960","title":"Adaptive Graph Convolutional Network With Adversarial Learning for Skeleton-Based Action Prediction","display_name":"Adaptive Graph Convolutional Network With Adversarial Learning for Skeleton-Based Action Prediction","publication_year":2021,"publication_date":"2021-08-11","ids":{"openalex":"https://openalex.org/W3190950662","doi":"https://doi.org/10.1109/tcds.2021.3103960","mag":"3190950662"},"language":"en","primary_location":{"id":"doi:10.1109/tcds.2021.3103960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2021.3103960","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"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 Cognitive and Developmental Systems","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/A5054260188","display_name":"Guangxin Li","orcid":"https://orcid.org/0000-0002-3911-8255"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangxin Li","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-3911-8255","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074334654","display_name":"Nanjun Li","orcid":"https://orcid.org/0000-0003-1719-5118"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nanjun Li","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0003-1719-5118","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070332088","display_name":"Faliang Chang","orcid":"https://orcid.org/0000-0003-1276-2267"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Faliang Chang","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0003-1276-2267","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065058741","display_name":"Chunsheng Liu","orcid":"https://orcid.org/0000-0001-5516-2486"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunsheng Liu","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0001-5516-2486","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":1.6959,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.86385296,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"14","issue":"3","first_page":"1258","last_page":"1269"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9919000267982483,"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":0.6954630613327026},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5538616180419922},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5437598824501038},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5429162979125977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5397807359695435},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5055088996887207},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.44756758213043213},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35530638694763184},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3472819924354553},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3429909348487854}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6954630613327026},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5538616180419922},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5437598824501038},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5429162979125977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5397807359695435},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5055088996887207},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.44756758213043213},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35530638694763184},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3472819924354553},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3429909348487854},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcds.2021.3103960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2021.3103960","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"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 Cognitive and Developmental Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2739461422","display_name":null,"funder_award_id":"2018YFB1305300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4464827283","display_name":null,"funder_award_id":"61673244","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8946202518","display_name":null,"funder_award_id":"61703240","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"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":46,"referenced_works":["https://openalex.org/W1950788856","https://openalex.org/W2099634219","https://openalex.org/W2151047074","https://openalex.org/W2184544926","https://openalex.org/W2510185399","https://openalex.org/W2519711346","https://openalex.org/W2559655401","https://openalex.org/W2603861860","https://openalex.org/W2604321021","https://openalex.org/W2605300166","https://openalex.org/W2606294640","https://openalex.org/W2716916105","https://openalex.org/W2725671659","https://openalex.org/W2736334449","https://openalex.org/W2739179646","https://openalex.org/W2774319743","https://openalex.org/W2793547936","https://openalex.org/W2798644314","https://openalex.org/W2798795235","https://openalex.org/W2802979841","https://openalex.org/W2805434138","https://openalex.org/W2805549761","https://openalex.org/W2914177721","https://openalex.org/W2940457086","https://openalex.org/W2944006115","https://openalex.org/W2945358262","https://openalex.org/W2948058585","https://openalex.org/W2948246283","https://openalex.org/W2950568498","https://openalex.org/W2952587893","https://openalex.org/W2963076818","https://openalex.org/W2963282966","https://openalex.org/W2963369114","https://openalex.org/W2963465695","https://openalex.org/W2963692464","https://openalex.org/W2963986337","https://openalex.org/W2964134613","https://openalex.org/W2971486392","https://openalex.org/W2973511309","https://openalex.org/W2989839235","https://openalex.org/W2996249958","https://openalex.org/W3007188278","https://openalex.org/W3092336341","https://openalex.org/W3108496296","https://openalex.org/W3123784868","https://openalex.org/W4230005465"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W4246396837","https://openalex.org/W3176240006","https://openalex.org/W3126451824","https://openalex.org/W2482350142","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4386598245","https://openalex.org/W4287181611"],"abstract_inverted_index":{"The":[0,84],"purpose":[1],"of":[2,34,93,104,124,129],"action":[3,9,19,25,41,52,60],"prediction":[4,20,42,61],"is":[5,12,43,63,165],"to":[6,14,31,89,101,108,136,145,175],"recognize":[7],"an":[8],"before":[10],"it":[11,27,47],"completed":[13],"reduce":[15],"recognition":[16],"latency.":[17],"Because":[18],"has":[21],"lower":[22],"latency":[23],"than":[24],"recognition,":[26],"can":[28],"be":[29],"applied":[30],"a":[32,70,172],"variety":[33],"surveillance":[35],"scenarios":[36],"and":[37,68,153,184,203],"responds":[38],"faster.":[39],"However,":[40],"more":[44],"difficult":[45],"because":[46],"cannot":[48],"obtain":[49],"the":[50,59,91,94,102,105,110,115,138,163,168,177,181,185,196],"complete":[51],"execution.":[53],"In":[54],"this":[55],"article,":[56],"we":[57],"study":[58],"which":[62],"based":[64],"on":[65,199],"skeleton":[66],"data":[67,201],"propose":[69],"new":[71],"network":[72,77,139,174],"called":[73],"adaptive":[74],"graph":[75],"convolutional":[76],"with":[78,121,167],"adversarial":[79,87],"learning":[80,88],"(AGCN-AL)":[81],"for":[82],"it.":[83],"AGCN-AL":[85,164],"uses":[86],"make":[90],"features":[92,103],"partial":[95,116,119,146,155,190],"sequences":[96,107,120,147,156,191],"as":[97,99],"similar":[98],"possible":[100],"full":[106],"learn":[109],"potential":[111,186],"global":[112,187],"information":[113,183,188],"in":[114,189],"sequences.":[117],"Besides,":[118],"different":[122,127],"numbers":[123],"frames":[125],"contain":[126],"amounts":[128],"information.":[130],"We":[131,194],"introduce":[132],"temporal-dependent":[133],"loss":[134],"functions":[135],"prevent":[137],"from":[140],"paying":[141],"too":[142],"much":[143],"attention":[144],"whose":[148,157],"observation":[149,158],"ratios":[150,159],"are":[151,160,192],"small,":[152],"ignoring":[154],"large.":[161],"Moreover,":[162],"combined":[166],"local":[169,182],"AGCN":[170],"into":[171],"two-stream":[173],"enhance":[176],"prediction,":[178],"proving":[179],"that":[180],"complementary.":[193],"evaluate":[195],"proposed":[197],"approach":[198],"two":[200],"sets":[202],"show":[204],"excellent":[205],"performance.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
