{"id":"https://openalex.org/W4221161774","doi":"https://doi.org/10.48550/arxiv.2203.03843","title":"Self-supervised Social Relation Representation for Human Group Detection","display_name":"Self-supervised Social Relation Representation for Human Group Detection","publication_year":2022,"publication_date":"2022-03-08","ids":{"openalex":"https://openalex.org/W4221161774","doi":"https://doi.org/10.48550/arxiv.2203.03843"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2203.03843","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2203.03843","pdf_url":"https://arxiv.org/pdf/2203.03843","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2203.03843","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100403788","display_name":"Jiacheng Li","orcid":"https://orcid.org/0000-0003-2964-6107"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Li, Jiacheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004806106","display_name":"Ruize Han","orcid":"https://orcid.org/0000-0002-6587-8936"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Ruize","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010229777","display_name":"Haomin Yan","orcid":"https://orcid.org/0000-0003-4329-9770"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yan, Haomin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002497074","display_name":"Zekun Qian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qian, Zekun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100378285","display_name":"Wei Feng","orcid":"https://orcid.org/0000-0002-1507-5561"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng, Wei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100326210","display_name":"Song Wang","orcid":"https://orcid.org/0000-0002-8224-0424"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Song","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100403788"],"corresponding_institution_ids":[],"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":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9979000091552734,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9965000152587891,"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/T10331","display_name":"Video Surveillance and Tracking Methods","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"}}],"keywords":[{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.7676578760147095},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6696897745132446},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6667451858520508},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5579078793525696},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5319108366966248},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.5203099250793457},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5023064613342285},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.46652325987815857},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4304744303226471},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3308287560939789},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.25864607095718384}],"concepts":[{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.7676578760147095},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6696897745132446},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6667451858520508},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5579078793525696},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5319108366966248},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.5203099250793457},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5023064613342285},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.46652325987815857},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4304744303226471},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3308287560939789},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25864607095718384},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2203.03843","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2203.03843","pdf_url":"https://arxiv.org/pdf/2203.03843","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2203.03843","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2203.03843","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2203.03843","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2203.03843","pdf_url":"https://arxiv.org/pdf/2203.03843","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4234874385","https://openalex.org/W2081900870","https://openalex.org/W2323648130","https://openalex.org/W2157140558","https://openalex.org/W2378782423","https://openalex.org/W2388988621","https://openalex.org/W2357797405","https://openalex.org/W2366623913","https://openalex.org/W2374905595","https://openalex.org/W2049082574"],"abstract_inverted_index":{"Human":[0],"group":[1,24,45,95],"detection,":[2],"which":[3,65],"splits":[4],"crowd":[5],"of":[6,22,111],"people":[7],"into":[8],"groups,":[9],"is":[10,26,66],"an":[11],"important":[12],"step":[13],"for":[14,43,93],"video-based":[15],"human":[16,23,28,44,54,94],"social":[17,29,61,84,119],"activity":[18],"analysis.":[19],"The":[20],"core":[21],"detection":[25],"the":[27,48,60,71,78,83,109,112,117,137,141],"relation":[30,62,85,120],"representation":[31],"and":[32,106],"division.In":[33],"this":[34],"paper,":[35],"we":[36,51,87],"propose":[37,52],"a":[38,53,89],"new":[39],"two-stage":[40],"multi-head":[41],"framework":[42],"detection.":[46,96],"In":[47,77],"first":[49],"stage,":[50,80],"behavior":[55,75],"simulator":[56],"head":[57],"to":[58,140],"learn":[59],"feature":[63],"embedding,":[64,86,121],"self-supervisely":[67],"trained":[68],"by":[69],"leveraging":[70],"socially":[72],"grounded":[73],"multi-person":[74],"relationship.":[76],"second":[79],"based":[81],"on":[82,99],"develop":[88],"self-attention":[90],"inspired":[91],"network":[92],"Remarkable":[97],"performance":[98],"two":[100],"state-of-the-art":[101],"large-scale":[102],"benchmarks,":[103],"i.e.,":[104],"PANDA":[105],"JRDB-Group,":[107],"verifies":[108],"effectiveness":[110],"proposed":[113],"framework.":[114],"Benefiting":[115],"from":[116],"self-supervised":[118],"our":[122],"method":[123],"can":[124],"provide":[125],"promising":[126],"results":[127],"with":[128],"very":[129],"few":[130],"(labeled)":[131],"training":[132],"data.":[133],"We":[134],"will":[135],"release":[136],"source":[138],"code":[139],"public.":[142]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}
