{"id":"https://openalex.org/W2894589512","doi":"https://doi.org/10.1145/3242969.3264990","title":"Group-Level Emotion Recognition Using Hybrid Deep Models Based on Faces, Scenes, Skeletons and Visual Attentions","display_name":"Group-Level Emotion Recognition Using Hybrid Deep Models Based on Faces, Scenes, Skeletons and Visual Attentions","publication_year":2018,"publication_date":"2018-10-02","ids":{"openalex":"https://openalex.org/W2894589512","doi":"https://doi.org/10.1145/3242969.3264990","mag":"2894589512"},"language":"en","primary_location":{"id":"doi:10.1145/3242969.3264990","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3242969.3264990","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3242969.3264990","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM International Conference on Multimodal Interaction","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3242969.3264990","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100638371","display_name":"Xin Guo","orcid":"https://orcid.org/0000-0002-7273-9387"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xin Guo","raw_affiliation_strings":["University of Delaware, Newark, DE, USA"],"affiliations":[{"raw_affiliation_string":"University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065767090","display_name":"Bin Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bin Zhu","raw_affiliation_strings":["University of Delaware, Newark, DE, USA"],"affiliations":[{"raw_affiliation_string":"University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080932959","display_name":"Luisa F. Polan\u00eda","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luisa F. Polan\u00eda","raw_affiliation_strings":["American Family Mutual Insurance Company, Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"American Family Mutual Insurance Company, Madison, WI, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113690844","display_name":"Charles Boncelet","orcid":null},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charles Boncelet","raw_affiliation_strings":["University of Delaware, Newark, DE, USA"],"affiliations":[{"raw_affiliation_string":"University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036946701","display_name":"Kenneth E. Barner","orcid":"https://orcid.org/0000-0002-0936-7840"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kenneth E. Barner","raw_affiliation_strings":["University of Delaware, Newark, DE, USA"],"affiliations":[{"raw_affiliation_string":"University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100638371"],"corresponding_institution_ids":["https://openalex.org/I86501945"],"apc_list":null,"apc_paid":null,"fwci":5.2586,"has_fulltext":true,"cited_by_count":44,"citation_normalized_percentile":{"value":0.9577372,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"635","last_page":"639"},"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":0.9993000030517578,"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/T11448","display_name":"Face recognition and analysis","score":0.9991999864578247,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7775017023086548},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.7532052397727966},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7026912569999695},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.689382791519165},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6725343465805054},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5391002893447876},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5305055975914001},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.4836060106754303},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3315907120704651}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7775017023086548},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.7532052397727966},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7026912569999695},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.689382791519165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6725343465805054},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5391002893447876},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5305055975914001},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.4836060106754303},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3315907120704651},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3242969.3264990","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3242969.3264990","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3242969.3264990","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM International Conference on Multimodal Interaction","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3242969.3264990","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3242969.3264990","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3242969.3264990","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM International Conference on Multimodal Interaction","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G615953716","display_name":null,"funder_award_id":"1319598","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2894589512.pdf","grobid_xml":"https://content.openalex.org/works/W2894589512.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1543159378","https://openalex.org/W1575132216","https://openalex.org/W1603712378","https://openalex.org/W1648900468","https://openalex.org/W1686810756","https://openalex.org/W1977139267","https://openalex.org/W2041616772","https://openalex.org/W2064675550","https://openalex.org/W2094637479","https://openalex.org/W2097909335","https://openalex.org/W2108598243","https://openalex.org/W2113855951","https://openalex.org/W2147527908","https://openalex.org/W2157269017","https://openalex.org/W2157653492","https://openalex.org/W2171810632","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2325939864","https://openalex.org/W2332909796","https://openalex.org/W2341528187","https://openalex.org/W2515770085","https://openalex.org/W2548676029","https://openalex.org/W2559085405","https://openalex.org/W2560313346","https://openalex.org/W2575842049","https://openalex.org/W2594407953","https://openalex.org/W2609476118","https://openalex.org/W2618530766","https://openalex.org/W2737766105","https://openalex.org/W2752782242","https://openalex.org/W2766818358","https://openalex.org/W2767359575","https://openalex.org/W2767986562","https://openalex.org/W2888683367","https://openalex.org/W2963488642","https://openalex.org/W2963656855","https://openalex.org/W2964062354","https://openalex.org/W2964304707","https://openalex.org/W2990138404","https://openalex.org/W3101998545","https://openalex.org/W4241886172","https://openalex.org/W6601141708"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2329500892","https://openalex.org/W2101155126","https://openalex.org/W2043093291"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,53],"hybrid":[4,71],"deep":[5,30],"learning":[6,31],"network":[7,72],"submitted":[8],"to":[9,48],"the":[10,15,23,50,69,80,89,97,101],"6th":[11],"Emotion":[12],"Recognition":[13],"in":[14,22,57,100],"Wild":[16],"(EmotiW":[17],"2018)":[18],"Grand":[19],"Challenge":[20],"[9],":[21],"category":[24],"of":[25,52,55,91],"group-level":[26],"emotion":[27,51],"recognition.":[28],"Advanced":[29],"models":[32],"trained":[33],"individually":[34],"on":[35,79],"faces,":[36],"scenes,":[37],"skeletons":[38],"and":[39,75,82,93,95],"salient":[40],"regions":[41],"using":[42],"visual":[43],"attention":[44],"mechanisms":[45],"are":[46],"fused":[47],"classify":[49],"group":[54],"people":[56],"an":[58],"image":[59],"as":[60],"positive,":[61],"neutral":[62],"or":[63],"negative.":[64],"Experimental":[65],"results":[66,87],"show":[67],"that":[68],"proposed":[70],"achieves":[73],"78.98%":[74],"68.08%":[76],"classification":[77],"accuracy":[78],"validation":[81],"testing":[83],"sets,":[84],"respectively.":[85],"These":[86],"outperform":[88],"baseline":[90],"64%":[92],"61%,":[94],"achieved":[96],"first":[98],"place":[99],"challenge.":[102]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}