{"id":"https://openalex.org/W4387421169","doi":"https://doi.org/10.1145/3577190.3616546","title":"Multimodal Group Emotion Recognition In-the-wild Using Privacy-Compliant Features","display_name":"Multimodal Group Emotion Recognition In-the-wild Using Privacy-Compliant Features","publication_year":2023,"publication_date":"2023-10-07","ids":{"openalex":"https://openalex.org/W4387421169","doi":"https://doi.org/10.1145/3577190.3616546"},"language":"en","primary_location":{"id":"doi:10.1145/3577190.3616546","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3577190.3616546","pdf_url":null,"source":{"id":"https://openalex.org/S4363608440","display_name":"INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION","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":"INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2312.05265","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079019210","display_name":"Anderson Augusma","orcid":"https://orcid.org/0009-0005-0634-0318"},"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/I4210104430","display_name":"Laboratoire d'Informatique de Grenoble","ror":"https://ror.org/01c8rcg82","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210104430","https://openalex.org/I4210159245","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"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":true,"raw_author_name":"Anderson Augusma","raw_affiliation_strings":["Univ. Grenoble Alpes, CNRS, Grenoble INP, LIG Grenoble, France, France and Univ. Grenoble Alpes, CNRS, Grenoble INP, LJK Grenoble, France, France"],"raw_orcid":"https://orcid.org/0009-0005-0634-0318","affiliations":[{"raw_affiliation_string":"Univ. Grenoble Alpes, CNRS, Grenoble INP, LIG Grenoble, France, France and Univ. Grenoble Alpes, CNRS, Grenoble INP, LJK Grenoble, France, France","institution_ids":["https://openalex.org/I4210149092","https://openalex.org/I1294671590","https://openalex.org/I106785703","https://openalex.org/I4210104430","https://openalex.org/I899635006"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077485006","display_name":"Dominique Vaufreydaz","orcid":"https://orcid.org/0000-0002-8825-0973"},"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/I4210104430","display_name":"Laboratoire d'Informatique de Grenoble","ror":"https://ror.org/01c8rcg82","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210104430","https://openalex.org/I4210159245","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":"Dominique Vaufreydaz","raw_affiliation_strings":["Univ. Grenoble Alpes, CNRS, Grenoble INP, LIG Grenoble, France, France"],"raw_orcid":"https://orcid.org/0000-0002-8825-0973","affiliations":[{"raw_affiliation_string":"Univ. Grenoble Alpes, CNRS, Grenoble INP, LIG Grenoble, France, France","institution_ids":["https://openalex.org/I4210104430","https://openalex.org/I1294671590","https://openalex.org/I899635006","https://openalex.org/I106785703"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039861716","display_name":"Fr\u00e9d\u00e9rique Letu\u00e9","orcid":"https://orcid.org/0000-0003-2732-8359"},"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/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":"Fr\u00e9d\u00e9rique Letu\u00e9","raw_affiliation_strings":["Univ. Grenoble Alpes, CNRS, Grenoble INP, LJK Grenoble, France, France"],"raw_orcid":"https://orcid.org/0000-0003-2732-8359","affiliations":[{"raw_affiliation_string":"Univ. Grenoble Alpes, CNRS, Grenoble INP, LJK Grenoble, France, France","institution_ids":["https://openalex.org/I4210149092","https://openalex.org/I1294671590","https://openalex.org/I899635006","https://openalex.org/I106785703"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079019210"],"corresponding_institution_ids":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210104430","https://openalex.org/I4210149092","https://openalex.org/I899635006"],"apc_list":null,"apc_paid":null,"fwci":1.8182,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.87368421,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"750","last_page":"754"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9959999918937683,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9925000071525574,"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/emotion-recognition","display_name":"Emotion recognition","score":0.630036473274231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6141246557235718},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.4922286570072174},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.418888658285141},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.41181156039237976},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34443312883377075},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.32614821195602417}],"concepts":[{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.630036473274231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6141246557235718},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.4922286570072174},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.418888658285141},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.41181156039237976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34443312883377075},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.32614821195602417},{"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":3,"locations":[{"id":"doi:10.1145/3577190.3616546","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3577190.3616546","pdf_url":null,"source":{"id":"https://openalex.org/S4363608440","display_name":"INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION","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":"INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2312.05265","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.05265","pdf_url":"https://arxiv.org/pdf/2312.05265","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":null,"raw_type":"text"},{"id":"pmh:oai:HAL:hal-04325815v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04325815","pdf_url":"https://hal.science/hal-04325815/document","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":"ICMI '23: International Conference on Multimodal Interaction, Oct 2023, Paris, France. pp.750-754, &#x27E8;10.1145/3577190.3616546&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2312.05265","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.05265","pdf_url":"https://arxiv.org/pdf/2312.05265","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":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320326256","display_name":"Grand \u00c9quipement National De Calcul Intensif","ror":"https://ror.org/0010d1q40"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387421169.pdf"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W967544008","https://openalex.org/W2085662862","https://openalex.org/W2186574009","https://openalex.org/W2821427990","https://openalex.org/W2894589512","https://openalex.org/W2895443688","https://openalex.org/W2914703899","https://openalex.org/W2918087949","https://openalex.org/W2951124636","https://openalex.org/W2962803520","https://openalex.org/W2963826257","https://openalex.org/W2965053349","https://openalex.org/W2996209825","https://openalex.org/W3025742428","https://openalex.org/W3034527633","https://openalex.org/W3084809844","https://openalex.org/W3093581966","https://openalex.org/W3094335887","https://openalex.org/W3094378983","https://openalex.org/W3094383023","https://openalex.org/W3094502228","https://openalex.org/W3128299371","https://openalex.org/W3192648700","https://openalex.org/W4226394192","https://openalex.org/W4287751187","https://openalex.org/W4300818165","https://openalex.org/W4312618985","https://openalex.org/W4385245566","https://openalex.org/W4387423997"],"related_works":["https://openalex.org/W2184221808","https://openalex.org/W2740147593","https://openalex.org/W2547800031","https://openalex.org/W4247431094","https://openalex.org/W3200324093","https://openalex.org/W2352386950","https://openalex.org/W4230573045","https://openalex.org/W2352120478","https://openalex.org/W4236080167","https://openalex.org/W2391100554"],"abstract_inverted_index":{"This":[0,31],"paper":[1],"explores":[2],"privacy-compliant":[3,141,179],"group-level":[4],"emotion":[5,14],"recognition":[6,15],"\"in-the-wild\"":[7],"within":[8,124],"the":[9,116,125,135,146,162,188],"EmotiW":[10,147],"Challenge":[11],"2023.":[12],"Group-level":[13],"can":[16,46],"be":[17,47],"useful":[18],"in":[19,54,127],"many":[20],"fields":[21],"including":[22],"social":[23],"robotics,":[24],"conversational":[25],"agents,":[26],"e-coaching":[27],"and":[28,72,96,151,158],"learning":[29],"analytics.":[30],"research":[32],"imposes":[33],"itself":[34],"using":[35,181],"only":[36,182],"global":[37],"features":[38,44,180],"avoiding":[39],"individual":[40],"ones,":[41],"i.e.":[42],"all":[43],"that":[45,169],"used":[48],"to":[49,114,173],"identify":[50],"or":[51],"track":[52],"people":[53],"videos":[55],"(facial":[56],"landmarks,":[57],"body":[58],"poses,":[59],"audio":[60,74,92],"diarization,":[61],"etc.).":[62],"The":[63,81,91,131],"proposed":[64],"multimodal":[65],"model":[66,120],"is":[67,84,171],"composed":[68],"of":[69,118,137,153],"a":[70,77,87,103,110,128],"video":[71,82],"an":[73],"branches":[75],"with":[76,149,178],"cross-attention":[78],"between":[79],"modalities.":[80],"branch":[83,93],"based":[85],"on":[86,121,145,156,187],"fine-tuned":[88],"ViT":[89],"architecture.":[90],"extracts":[94],"Mel-spectrograms":[95],"feed":[97],"them":[98],"through":[99],"CNN":[100],"blocks":[101],"into":[102],"transformer":[104],"encoder.":[105],"Our":[106,140],"training":[107],"paradigm":[108],"includes":[109],"generated":[111],"synthetic":[112],"dataset":[113],"increase":[115],"sensitivity":[117],"our":[119,138,166],"facial":[122],"expression":[123],"image":[126],"data-driven":[129],"way.":[130],"extensive":[132],"experiments":[133],"show":[134],"significance":[136],"methodology.":[139],"proposal":[142],"performs":[143],"fairly":[144],"challenge,":[148],"79.24%":[150],"75.13%":[152],"accuracy":[154,176],"respectively":[155],"validation":[157],"test":[159],"set":[160],"for":[161],"best":[163],"models.":[164],"Noticeably,":[165],"findings":[167],"highlight":[168],"it":[170],"possible":[172],"reach":[174],"this":[175],"level":[177],"5":[183],"frames":[184],"uniformly":[185],"distributed":[186],"video.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-17T08:19:37.847499","created_date":"2025-10-10T00:00:00"}
