{"id":"https://openalex.org/W3095428191","doi":"https://doi.org/10.1109/icpr48806.2021.9412306","title":"Context Aware Group Activity Recognition","display_name":"Context Aware Group Activity Recognition","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3095428191","doi":"https://doi.org/10.1109/icpr48806.2021.9412306","mag":"3095428191"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9412306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-02987414","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091745324","display_name":"Avijit Dasgupta","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Avijit Dasgupta","raw_affiliation_strings":["CVIT IIIT Hyderabad, India","CVIT - Center for Visual Information Technology [Hyderabad] (Gachibowli, Hyderabad - 500 032,\r\nAndhra Pradesh - India)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CVIT IIIT Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]},{"raw_affiliation_string":"CVIT - Center for Visual Information Technology [Hyderabad] (Gachibowli, Hyderabad - 500 032,\r\nAndhra Pradesh - India)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053112307","display_name":"C. V. Jawahar","orcid":"https://orcid.org/0000-0001-6767-7057"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C. V. Jawahar","raw_affiliation_strings":["CVIT IIIT Hyderabad, India","CVIT - Center for Visual Information Technology [Hyderabad] (Gachibowli, Hyderabad - 500 032,\r\nAndhra Pradesh - India)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CVIT IIIT Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]},{"raw_affiliation_string":"CVIT - Center for Visual Information Technology [Hyderabad] (Gachibowli, Hyderabad - 500 032,\r\nAndhra Pradesh - India)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049440980","display_name":"Karteek Alahari","orcid":"https://orcid.org/0000-0002-1838-5936"},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210101348","display_name":"Centre Inria de l'Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/00n8d6z93","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210101348"]},{"id":"https://openalex.org/I4210149092","display_name":"Laboratoire Jean Kuntzmann","ror":"https://ror.org/04ett5b41","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210149092","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Karteek Alahari","raw_affiliation_strings":["Univ. Grenoble Alpes, Inria CNRS, Grenoble INP, LJK, Grenoble, France","Thoth - Apprentissage de mod\u00e8les \u00e0 partir de donn\u00e9es massives (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Grenoble Alpes, Inria CNRS, Grenoble INP, LJK, Grenoble, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210149092","https://openalex.org/I4210101348","https://openalex.org/I899635006","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Thoth - Apprentissage de mod\u00e8les \u00e0 partir de donn\u00e9es massives (France)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4852,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.63152463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"10098","last_page":"10105"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9973000288009644,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9945999979972839,"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":0.7487142086029053},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.6819685697555542},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6477053165435791},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6259267926216125},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5560554265975952},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5300785303115845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5142962336540222},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5006561279296875},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4977729618549347},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.43653783202171326},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.42566072940826416},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.4244401752948761},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.41347554326057434},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37791210412979126},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.361021488904953}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7487142086029053},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.6819685697555542},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6477053165435791},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6259267926216125},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5560554265975952},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5300785303115845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5142962336540222},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5006561279296875},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4977729618549347},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.43653783202171326},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.42566072940826416},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.4244401752948761},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.41347554326057434},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37791210412979126},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.361021488904953},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr48806.2021.9412306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-02987414v1","is_oa":true,"landing_page_url":"https://hal.science/hal-02987414","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICPR 2020 - International Conference on Pattern Recognition, Jan 2021, Milan (Virtual), Italy. pp.10098-10105, ⟨10.1109/ICPR48806.2021.9412306⟩","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-02987414v1","is_oa":true,"landing_page_url":"https://hal.science/hal-02987414","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICPR 2020 - International Conference on Pattern Recognition, Jan 2021, Milan (Virtual), Italy. pp.10098-10105, ⟨10.1109/ICPR48806.2021.9412306⟩","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1836836407","display_name":"A Visual Memory Network for Scene Understanding","funder_award_id":"ANR-18-CE23-0011","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W100367037","https://openalex.org/W289401892","https://openalex.org/W1516887802","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W2047499569","https://openalex.org/W2053619738","https://openalex.org/W2057067088","https://openalex.org/W2107719302","https://openalex.org/W2117539524","https://openalex.org/W2125215748","https://openalex.org/W2128554449","https://openalex.org/W2135440260","https://openalex.org/W2141364309","https://openalex.org/W2171544105","https://openalex.org/W2183341477","https://openalex.org/W2259801182","https://openalex.org/W2269938945","https://openalex.org/W2507296351","https://openalex.org/W2519887557","https://openalex.org/W2520951797","https://openalex.org/W2558630670","https://openalex.org/W2736442062","https://openalex.org/W2778252923","https://openalex.org/W2798791840","https://openalex.org/W2799215407","https://openalex.org/W2894669491","https://openalex.org/W2895064504","https://openalex.org/W2895403383","https://openalex.org/W2916798096","https://openalex.org/W2927778007","https://openalex.org/W2940963663","https://openalex.org/W2943351376","https://openalex.org/W2950600216","https://openalex.org/W2951870359","https://openalex.org/W2963076818","https://openalex.org/W2963150697","https://openalex.org/W2963377215","https://openalex.org/W2964015378","https://openalex.org/W2964121744","https://openalex.org/W2964298947","https://openalex.org/W2969825080","https://openalex.org/W3009584831","https://openalex.org/W3011275446","https://openalex.org/W3034951775","https://openalex.org/W3035029089","https://openalex.org/W3035648302","https://openalex.org/W3109392981","https://openalex.org/W6630825005","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6639102338","https://openalex.org/W6662410554","https://openalex.org/W6664172992","https://openalex.org/W6664757799","https://openalex.org/W6680132831","https://openalex.org/W6724670942","https://openalex.org/W6726873649","https://openalex.org/W6747795875","https://openalex.org/W6755160849","https://openalex.org/W6767071366","https://openalex.org/W6775766154"],"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/W2905271011","https://openalex.org/W3164948662","https://openalex.org/W4289536128","https://openalex.org/W3153597579","https://openalex.org/W1872833176"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,37,57],"task":[4,16],"of":[5,77,95,159],"group":[6,48,84,113,141,167],"activity":[7,49,85,114,168],"recognition":[8],"in":[9,47,81,136,166],"multi-person":[10],"videos.":[11],"Existing":[12],"approaches":[13],"decompose":[14],"this":[15,52],"into":[17],"feature":[18,58],"learning":[19,59],"and":[20,35,61,105,119,151,154],"relational":[21,137],"reasoning.":[22],"Despite":[23],"showing":[24],"progress,":[25],"these":[26,131],"methods":[27],"only":[28,68],"rely":[29],"on":[30,56,147],"appearance":[31,71,118,163],"features":[32,121,133,164],"for":[33,83,99,112,139],"people":[34],"overlook":[36],"available":[38],"contextual":[39,78,96,120,160],"information,":[40],"which":[41],"can":[42],"play":[43],"an":[44,127],"important":[45],"role":[46],"understanding.":[50,115,169],"In":[51,87],"work,":[53],"we":[54,89],"focus":[55],"aspect":[60],"propose":[62,90],"a":[63],"two-stream":[64],"architecture":[65],"that":[66,108,156],"not":[67],"considers":[69],"person-level":[70],"features,":[72],"but":[73],"also":[74],"makes":[75],"use":[76,92],"information":[79,97,161],"present":[80],"videos":[82],"recognition.":[86],"particular,":[88],"to":[91,122],"two":[93,100,148],"types":[94],"beneficial":[98],"different":[101],"scenarios:":[102],"pose":[103],"context":[104,107],"scene":[106],"provide":[109],"crucial":[110],"cues":[111],"We":[116,143],"combine":[117],"encode":[123],"each":[124],"person":[125],"with":[126,162],"enriched":[128],"representation.":[129],"Finally,":[130],"combined":[132],"are":[134],"used":[135],"reasoning":[138],"predicting":[140],"activities.":[142],"evaluate":[144],"our":[145],"method":[146],"benchmarks,":[149],"Volleyball":[150],"Collective":[152],"Activity":[153],"show":[155],"joint":[157],"modeling":[158],"benefits":[165]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2025-10-10T00:00:00"}