{"id":"https://openalex.org/W4402580446","doi":"https://doi.org/10.1109/tnnls.2024.3401608","title":"Coarse-Fine Nested Network for Weakly Supervised Group Activity Recognition","display_name":"Coarse-Fine Nested Network for Weakly Supervised Group Activity Recognition","publication_year":2024,"publication_date":"2024-09-16","ids":{"openalex":"https://openalex.org/W4402580446","doi":"https://doi.org/10.1109/tnnls.2024.3401608","pmid":"https://pubmed.ncbi.nlm.nih.gov/39283787"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3401608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3401608","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","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":null,"display_name":"Xiaojing Ge","orcid":"https://orcid.org/0009-0009-3567-5300"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojing Ge","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0009-3567-5300","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100716371","display_name":"Rui Yan","orcid":"https://orcid.org/0000-0002-0694-9458"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Yan","raw_affiliation_strings":["Department of Computer Science and Technology, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-0694-9458","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040437528","display_name":"Xiangbo Shu","orcid":"https://orcid.org/0000-0003-4902-4663"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangbo Shu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-4902-4663","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Keke Chen","orcid":"https://orcid.org/0009-0006-2985-8918"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keke Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0006-2985-8918","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086501723","display_name":"Wei Tian","orcid":"https://orcid.org/0000-0002-5085-7219"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Tian","raw_affiliation_strings":["School of Computer Science, South Central Minzu University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, South Central Minzu University, Wuhan, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084688255","display_name":"Guo-Sen Xie","orcid":"https://orcid.org/0000-0002-5487-9845"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guo-Sen Xie","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-5487-9845","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8175,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73215885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"36","issue":"4","first_page":"7103","last_page":"7115"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9966999888420105,"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":0.9966999888420105,"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":0.9948999881744385,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9882000088691711,"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/computer-science","display_name":"Computer science","score":0.7455496788024902},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6084499955177307},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5645221471786499},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5558216571807861},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5318004488945007},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5011827945709229},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.4782339930534363},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.46296170353889465},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4197843074798584},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09063613414764404}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7455496788024902},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6084499955177307},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5645221471786499},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5558216571807861},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5318004488945007},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5011827945709229},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.4782339930534363},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.46296170353889465},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4197843074798584},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09063613414764404},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3401608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3401608","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:39283787","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39283787","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 neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1281565337","display_name":null,"funder_award_id":"52377163","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2043501656","display_name":null,"funder_award_id":"2023TQ0151","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G2268872017","display_name":null,"funder_award_id":"2023M731596","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G2632210744","display_name":null,"funder_award_id":"14913211","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3938807848","display_name":null,"funder_award_id":"62276134","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5512729199","display_name":null,"funder_award_id":"62222207","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5558408212","display_name":"\u9762\u5411\u590d\u6742\u573a\u666f\u7684\u7fa4\u4f53\u6d3b\u52a8\u591a\u7c92\u5ea6\u89e3\u6790\u7814\u7a76","funder_award_id":"62072245","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5950360714","display_name":null,"funder_award_id":"BK20211520","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G7040971259","display_name":null,"funder_award_id":"14380109","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W289401892","https://openalex.org/W1522734439","https://openalex.org/W1923404803","https://openalex.org/W2047499569","https://openalex.org/W2057067088","https://openalex.org/W2100304967","https://openalex.org/W2116137332","https://openalex.org/W2138332955","https://openalex.org/W2171544105","https://openalex.org/W2194775991","https://openalex.org/W2259801182","https://openalex.org/W2269938945","https://openalex.org/W2290998037","https://openalex.org/W2507009361","https://openalex.org/W2558630670","https://openalex.org/W2736442062","https://openalex.org/W2769581371","https://openalex.org/W2778252923","https://openalex.org/W2894669491","https://openalex.org/W2895064504","https://openalex.org/W2940963663","https://openalex.org/W2947315758","https://openalex.org/W2963150697","https://openalex.org/W2963377215","https://openalex.org/W2963907063","https://openalex.org/W2964062686","https://openalex.org/W2974686944","https://openalex.org/W2981408784","https://openalex.org/W2990152177","https://openalex.org/W2990503944","https://openalex.org/W3014545861","https://openalex.org/W3025569967","https://openalex.org/W3035029089","https://openalex.org/W3035648302","https://openalex.org/W3095022195","https://openalex.org/W3096719817","https://openalex.org/W3108614371","https://openalex.org/W3110257409","https://openalex.org/W3142837074","https://openalex.org/W3169998028","https://openalex.org/W3200394086","https://openalex.org/W3204485253","https://openalex.org/W4214612132","https://openalex.org/W4214727094","https://openalex.org/W4225463624","https://openalex.org/W4230451144","https://openalex.org/W4283270977","https://openalex.org/W4286212078","https://openalex.org/W4289822576","https://openalex.org/W4312250143","https://openalex.org/W4312557989","https://openalex.org/W4312560592","https://openalex.org/W4312919330","https://openalex.org/W4313291202","https://openalex.org/W4323897056","https://openalex.org/W4385245566","https://openalex.org/W6682864246"],"related_works":["https://openalex.org/W2468279273","https://openalex.org/W2354198838","https://openalex.org/W1989130879","https://openalex.org/W2103419012","https://openalex.org/W2988126442","https://openalex.org/W4388335561","https://openalex.org/W2970530566","https://openalex.org/W4288261899","https://openalex.org/W1974414866","https://openalex.org/W4307309205"],"abstract_inverted_index":{"Weakly":[0],"supervised":[1],"group":[2],"activity":[3,122],"recognition":[4],"(WSGAR)":[5],"aims":[6],"at":[7],"identifying":[8],"the":[9,44,49,61,69,88,117,127,133,146,150,156,185,206,209,214],"overall":[10],"behavior":[11],"of":[12,63,68,121,149,158,187,208],"multiple":[13],"persons":[14,34],"without":[15],"any":[16],"fine-grained":[17,194],"supervision":[18],"information":[19,91,99],"(including":[20],"individual":[21],"position":[22],"and":[23,41,93,97,123,202],"action":[24],"label).":[25],"Traditional":[26],"methods":[27,53],"usually":[28],"adopt":[29],"a":[30,108,139,170,192],"person-to-whole":[31],"way:":[32],"detect":[33],"via":[35,169,191],"off-the-shelf":[36],"detectors,":[37],"obtain":[38],"person-level":[39],"features,":[40,129],"integrate":[42],"into":[43],"group-level":[45],"features":[46,80],"for":[47],"training":[48],"classifier.":[50],"However,":[51],"these":[52,180],"are":[54],"unflexible":[55],"due":[56],"to":[57,100,114,143,155],"serious":[58],"reliance":[59],"on":[60,200],"quality":[62],"detectors.":[64],"To":[65,103],"get":[66],"rid":[67],"detector,":[70],"recent":[71],"works":[72],"learn":[73,126],"several":[74,165],"prototype":[75],"tokens":[76],"from":[77],"noisy":[78],"grid":[79],"with":[81,184,213],"learnable":[82,151],"weights":[83],"directly,":[84],"which":[85],"treat":[86],"all":[87],"local":[89,128],"visual":[90,119,167,182],"equally":[92],"bring":[94],"in":[95,161],"redundant":[96],"ambiguous":[98],"some":[101],"extent.":[102],"this":[104],"end,":[105],"we":[106,137,163,177],"propose":[107],"novel":[109],"coarse-fine":[110],"nested":[111,140],"network":[112],"(CFNN)":[113],"coarsely":[115],"localize":[116,164],"key":[118,166],"patches":[120,168,183],"further":[124],"finely":[125],"as":[130,132],"well":[131],"global":[134,152,188],"features.":[135],"Specifically,":[136],"design":[138],"interactor":[141],"(NI)":[142],"progressively":[144],"model":[145],"spatiotemporal":[147,189,195],"interactions":[148],"token.":[153],"According":[154],"cue":[157],"spatial":[159,173],"interaction":[160],"NI,":[162],"new":[171,193],"coarse-grained":[172],"localizer":[174],"(CSL).":[175],"Then,":[176],"finally":[178],"encode":[179],"localized":[181],"help":[186],"dependency":[190],"selector":[196],"(FSS).":[197],"Extensive":[198],"experiments":[199],"Volleyball":[201],"NBA":[203],"datasets":[204],"demonstrate":[205],"effectiveness":[207],"proposed":[210],"CFNN":[211],"compared":[212],"existing":[215],"competitive":[216],"methods.":[217],"Code":[218],"is":[219],"available":[220],"at:":[221],"https://github.com/gexiaojingshelby/CFNN.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
