{"id":"https://openalex.org/W4313026798","doi":"https://doi.org/10.1109/mmsp55362.2022.9949142","title":"Sparse Relation Graph for Group Activity Recognition","display_name":"Sparse Relation Graph for Group Activity Recognition","publication_year":2022,"publication_date":"2022-09-26","ids":{"openalex":"https://openalex.org/W4313026798","doi":"https://doi.org/10.1109/mmsp55362.2022.9949142"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp55362.2022.9949142","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp55362.2022.9949142","pdf_url":null,"source":{"id":"https://openalex.org/S4363605768","display_name":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-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/A5041542213","display_name":"Rui He","orcid":"https://orcid.org/0000-0002-5138-1654"},"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":true,"raw_author_name":"Rui He","raw_affiliation_strings":["Beihang University,IRIP Lab, SCSE,Beijing,China","IRIP Lab, SCSE, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University,IRIP Lab, SCSE,Beijing,China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"IRIP Lab, SCSE, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039781970","display_name":"Zehua Fu","orcid":"https://orcid.org/0000-0002-3639-4406"},"institutions":[{"id":"https://openalex.org/I4210153422","display_name":"Hangzhou Special Equipment Inspection and Research Institute","ror":"https://ror.org/04vkyz392","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210153422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zehua Fu","raw_affiliation_strings":["Hangzhou Innovation Institute, Behang University,Hangzhou,China","Hangzhou Innovation Institute, Behang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Innovation Institute, Behang University,Hangzhou,China","institution_ids":["https://openalex.org/I4210153422"]},{"raw_affiliation_string":"Hangzhou Innovation Institute, Behang University, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056847110","display_name":"Qingjie Liu","orcid":"https://orcid.org/0000-0002-5181-6451"},"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":"Qingjie Liu","raw_affiliation_strings":["Beihang University,IRIP Lab, SCSE,Beijing,China","IRIP Lab, SCSE, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University,IRIP Lab, SCSE,Beijing,China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"IRIP Lab, SCSE, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398953","display_name":"Yunhong Wang","orcid":"https://orcid.org/0000-0001-8001-2703"},"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":"Yunhong Wang","raw_affiliation_strings":["Beihang University,IRIP Lab, SCSE,Beijing,China","IRIP Lab, SCSE, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University,IRIP Lab, SCSE,Beijing,China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"IRIP Lab, SCSE, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062771971","display_name":"Xunxun Chen","orcid":"https://orcid.org/0000-0002-9481-4819"},"institutions":[{"id":"https://openalex.org/I4210087772","display_name":"National Computer Network Emergency Response Technical Team/Coordination Center of Chinar","ror":"https://ror.org/00247dh76","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210087772"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xunxun Chen","raw_affiliation_strings":["CNCERT/CC,Beijing,China","CNCERT/CC, Beijing, China"],"affiliations":[{"raw_affiliation_string":"CNCERT/CC,Beijing,China","institution_ids":["https://openalex.org/I4210087772"]},{"raw_affiliation_string":"CNCERT/CC, Beijing, China","institution_ids":["https://openalex.org/I4210087772"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041542213"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.1798,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.53657493,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.9943000078201294,"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/T12290","display_name":"Human Motion and Animation","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/discriminative-model","display_name":"Discriminative model","score":0.8272929191589355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7273680567741394},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6670733094215393},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6359981298446655},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5473936796188354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5264043211936951},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.4566880464553833},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42057472467422485},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41253963112831116},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.31509101390838623},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.29904705286026}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8272929191589355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7273680567741394},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6670733094215393},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6359981298446655},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5473936796188354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5264043211936951},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.4566880464553833},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42057472467422485},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41253963112831116},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.31509101390838623},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29904705286026},{"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp55362.2022.9949142","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp55362.2022.9949142","pdf_url":null,"source":{"id":"https://openalex.org/S4363605768","display_name":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1595717062","https://openalex.org/W1686810756","https://openalex.org/W1947746128","https://openalex.org/W2053619738","https://openalex.org/W2064675550","https://openalex.org/W2148695089","https://openalex.org/W2161236525","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2206638072","https://openalex.org/W2259801182","https://openalex.org/W2558630670","https://openalex.org/W2575842049","https://openalex.org/W2736850688","https://openalex.org/W2740825418","https://openalex.org/W2778252923","https://openalex.org/W2891433740","https://openalex.org/W2894669491","https://openalex.org/W2895064504","https://openalex.org/W2927778007","https://openalex.org/W2940963663","https://openalex.org/W2952793010","https://openalex.org/W2963150697","https://openalex.org/W2963377215","https://openalex.org/W2964015378","https://openalex.org/W3035029089","https://openalex.org/W6637373629","https://openalex.org/W6664172992","https://openalex.org/W6682050888","https://openalex.org/W6684191040","https://openalex.org/W6726873649","https://openalex.org/W6755089507"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W2521627374","https://openalex.org/W2981954115"],"abstract_inverted_index":{"Modeling":[0],"relations":[1,62],"between":[2],"actors":[3,37],"is":[4,75],"critical":[5],"for":[6,56,77],"understanding":[7],"group":[8,88],"activities":[9],"of":[10,102],"dynamic":[11],"scenes.":[12],"Existing":[13],"Group":[14],"Activity":[15,97],"Recognition":[16],"(GAR)":[17],"methods":[18],"usually":[19],"build":[20],"strong":[21],"connection":[22],"in":[23,58,106],"each":[24,43],"actor":[25],"pair.":[26],"However,":[27],"not":[28,35],"all":[29,36],"the":[30,60,80,91,95,100,107],"connetions":[31],"are":[32,38,63],"necessary":[33],"because":[34],"visible":[39],"or":[40],"related":[41],"to":[42,65],"other.":[44],"Based":[45],"on":[46,85],"this":[47],"observation,":[48],"we":[49],"provide":[50],"a":[51,71],"Sparse":[52],"Relation":[53],"Graph":[54],"(SRG)":[55],"GAR,":[57],"which":[59],"key":[61,81],"focused":[64],"mine":[66],"more":[67],"discriminative":[68],"features.":[69],"Then":[70],"graph":[72],"convolutional":[73],"network":[74],"designed":[76],"automatically":[78],"learning":[79],"relations.":[82],"Extensive":[83],"experiments":[84],"two":[86],"popular":[87],"activity":[89],"datasets,":[90],"Volleyball":[92,108],"dataset":[93],"and":[94],"Collective":[96],"dataset,":[98,109],"demonstrate":[99],"effectiveness":[101],"our":[103],"method.":[104],"Especially":[105],"SRG":[110],"can":[111],"get":[112],"better":[113],"performance":[114],"with":[115],"less":[116],"but":[117],"delicate":[118],"information.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}