{"id":"https://openalex.org/W4402351759","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650893","title":"Full-Dimensional Optimizable Network: A Channel, Frame and Joint-Specific Network Modeling for Skeleton-Based Action Recognition","display_name":"Full-Dimensional Optimizable Network: A Channel, Frame and Joint-Specific Network Modeling for Skeleton-Based Action Recognition","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402351759","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650893"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650893","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650893","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5109489305","display_name":"Yu Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Gong","raw_affiliation_strings":["Xi’an Jiaotong University,School of Automation Science and Engineering,Xi’an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,School of Automation Science and Engineering,Xi’an,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397650","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-6511-3079"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["Xi’an Jiaotong University,School of Automation Science and Engineering,Xi’an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,School of Automation Science and Engineering,Xi’an,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009374796","display_name":"Xuehao Gao","orcid":"https://orcid.org/0000-0003-3168-5770"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuehao Gao","raw_affiliation_strings":["Xi’an Jiaotong University,School of Automation Science and Engineering,Xi’an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,School of Automation Science and Engineering,Xi’an,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044668212","display_name":"Shaoyi Du","orcid":"https://orcid.org/0000-0002-7092-0596"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoyi Du","raw_affiliation_strings":["Xi’an Jiaotong University,School of Automation Science and Engineering,Xi’an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,School of Automation Science and Engineering,Xi’an,China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"148","issue":null,"first_page":"1","last_page":"8"},"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":0.9987000226974487,"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":0.9979000091552734,"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/joint","display_name":"Joint (building)","score":0.741668164730072},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.7338407635688782},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6727469563484192},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6219289302825928},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6056610345840454},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.42457205057144165},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33927521109580994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32816433906555176},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.23423811793327332},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11089769005775452},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.09770509600639343},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08450290560722351}],"concepts":[{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.741668164730072},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.7338407635688782},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6727469563484192},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6219289302825928},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6056610345840454},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.42457205057144165},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33927521109580994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32816433906555176},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.23423811793327332},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11089769005775452},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.09770509600639343},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08450290560722351},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650893","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650893","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1950788856","https://openalex.org/W2007057255","https://openalex.org/W2054041160","https://openalex.org/W2091911422","https://openalex.org/W2284126738","https://openalex.org/W2510185399","https://openalex.org/W2526041356","https://openalex.org/W2736334449","https://openalex.org/W2778523960","https://openalex.org/W2787337315","https://openalex.org/W2940457086","https://openalex.org/W2944006115","https://openalex.org/W2948058585","https://openalex.org/W2948246283","https://openalex.org/W2963076818","https://openalex.org/W2963369114","https://openalex.org/W2963465695","https://openalex.org/W2964134613","https://openalex.org/W2966210862","https://openalex.org/W3034999503","https://openalex.org/W3035050855","https://openalex.org/W3035225512","https://openalex.org/W3092754310","https://openalex.org/W3093411241","https://openalex.org/W3100950981","https://openalex.org/W3106350522","https://openalex.org/W3108496296","https://openalex.org/W3109392981","https://openalex.org/W3180686813","https://openalex.org/W3185273257","https://openalex.org/W3203634062","https://openalex.org/W3207613026","https://openalex.org/W3212618454","https://openalex.org/W4221166048","https://openalex.org/W4288064503","https://openalex.org/W4292420117","https://openalex.org/W4294558607","https://openalex.org/W4312245820","https://openalex.org/W4385488496","https://openalex.org/W4386074656","https://openalex.org/W4386075520","https://openalex.org/W4393148441","https://openalex.org/W6738964360","https://openalex.org/W6748320467","https://openalex.org/W6802722521","https://openalex.org/W6842584050"],"related_works":["https://openalex.org/W2953562271","https://openalex.org/W2334655667","https://openalex.org/W2464530384","https://openalex.org/W2105938841","https://openalex.org/W4253358700","https://openalex.org/W3139863978","https://openalex.org/W2014897006","https://openalex.org/W1756135943","https://openalex.org/W4247976907","https://openalex.org/W2379610230"],"abstract_inverted_index":{"Recent":[0],"human":[1],"action":[2,114],"recognition":[3],"systems":[4],"widely":[5],"adopt":[6],"graph":[7,16],"convolution":[8,17],"networks":[9],"to":[10,33],"extract":[11],"spatial-temporal":[12],"movement":[13],"patterns.":[14],"In":[15,80],"layers,":[18],"inter-joint":[19,57,73],"and":[20,25,29,74,96,106,125,135,153],"inter-frame":[21,65],"dependencies":[22],"dominate":[23],"spatial":[24],"temporal":[26],"feature":[27,43,90],"aggregation":[28,91],"thus":[30],"are":[31],"pivotal":[32],"representation":[34],"learning.":[35],"To":[36],"enrich":[37],"learned":[38],"motion":[39],"patterns,":[40],"a":[41,85,93,98,139],"powerful":[42],"extractor":[44],"should":[45],"introduce":[46],"its":[47],"information":[48,119],"propagation":[49],"flexibility":[50],"into":[51],"three":[52,145],"dimensions:":[53],"(1)":[54],"inferring":[55,63,71],"different":[56,60,64,68,72,78,122],"correlations":[58,66,76],"at":[59,67,77,88],"frames;":[61],"(2)":[62],"joints;":[69],"(3)":[70],"interframe":[75],"channels.":[79],"this":[81],"paper,":[82],"we":[83],"take":[84],"closer":[86],"look":[87],"effective":[89],"in":[92],"skeleton":[94,140],"sequence":[95],"propose":[97],"novel":[99],"full-dimensional":[100],"optimizable":[101],"network":[102],"with":[103],"Channel,":[104],"Frame":[105],"Joint-specific":[107],"Network":[108],"(CFJ-s":[109],"Net)":[110],"modeling":[111],"for":[112],"improving":[113],"recognition.":[115],"By":[116],"promoting":[117],"dynamic":[118],"flows":[120],"within":[121],"channels,":[123],"frames,":[124],"joints,":[126],"CFJ-s":[127,155],"Net":[128,156],"significantly":[129],"extracts":[130],"richer":[131],"body":[132],"posture":[133],"features":[134,137],"trajectory":[136],"from":[138],"sequence.":[141],"As":[142],"verified":[143],"on":[144],"large-scale":[146],"datasets,":[147],"NTU":[148,150],"RGB+D,":[149],"RGB+D":[151],"120,":[152],"Northwestern-UCLA,":[154],"achieves":[157],"substantial":[158],"improvements":[159],"over":[160],"state-of-the-art":[161],"methods.":[162]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}