{"id":"https://openalex.org/W7094951101","doi":"https://doi.org/10.1145/3746027.3755522","title":"EmoDETective: Detecting, Exploring, and Thinking Emotional Cause in Videos","display_name":"EmoDETective: Detecting, Exploring, and Thinking Emotional Cause in Videos","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W7094951101","doi":"https://doi.org/10.1145/3746027.3755522"},"language":null,"primary_location":{"id":"doi:10.1145/3746027.3755522","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Xuandong Huang","orcid":"https://orcid.org/0000-0001-6629-5129"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuandong Huang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0001-6629-5129","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuzhe Zhou","orcid":"https://orcid.org/0009-0006-7021-4145"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuzhe Zhou","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0009-0006-7021-4145","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiashu Li","orcid":"https://orcid.org/0009-0009-3626-5493"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiashu Li","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0009-0009-3626-5493","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shiqian Lu","orcid":"https://orcid.org/0009-0005-0838-7996"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiqian Lu","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0009-0005-0838-7996","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":null,"display_name":"Shangfei Wang","orcid":"https://orcid.org/0000-0003-1164-9895"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangfei Wang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0003-1164-9895","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5735","last_page":"5744"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.2092999964952469,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.2092999964952469,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.19990000128746033,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.1453000009059906,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.5733000040054321},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.47540000081062317},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.3714999854564667},{"id":"https://openalex.org/keywords/emotional-competence","display_name":"Emotional competence","score":0.3467999994754791},{"id":"https://openalex.org/keywords/emotional-intelligence","display_name":"Emotional intelligence","score":0.33719998598098755},{"id":"https://openalex.org/keywords/sadness","display_name":"Sadness","score":0.32420000433921814},{"id":"https://openalex.org/keywords/video-content-analysis","display_name":"Video content analysis","score":0.31029999256134033}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.5733000040054321},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.478300005197525},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.47540000081062317},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4431999921798706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4417000114917755},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.41589999198913574},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.3714999854564667},{"id":"https://openalex.org/C118057910","wikidata":"https://www.wikidata.org/wiki/Q5373785","display_name":"Emotional competence","level":3,"score":0.3467999994754791},{"id":"https://openalex.org/C174107131","wikidata":"https://www.wikidata.org/wiki/Q191591","display_name":"Emotional intelligence","level":2,"score":0.33719998598098755},{"id":"https://openalex.org/C2779812673","wikidata":"https://www.wikidata.org/wiki/Q169251","display_name":"Sadness","level":3,"score":0.32420000433921814},{"id":"https://openalex.org/C2778598663","wikidata":"https://www.wikidata.org/wiki/Q1407599","display_name":"Video content analysis","level":4,"score":0.31029999256134033},{"id":"https://openalex.org/C3020774634","wikidata":"https://www.wikidata.org/wiki/Q3113318","display_name":"Emotional valence","level":3,"score":0.3034000098705292},{"id":"https://openalex.org/C2779302386","wikidata":"https://www.wikidata.org/wiki/Q79871","display_name":"Anger","level":2,"score":0.2883000075817108},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.2709999978542328},{"id":"https://openalex.org/C2988634675","wikidata":"https://www.wikidata.org/wiki/Q34508","display_name":"Video recording","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C88519622","wikidata":"https://www.wikidata.org/wiki/Q776232","display_name":"Emotional exhaustion","level":3,"score":0.2655999958515167},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C162446236","wikidata":"https://www.wikidata.org/wiki/Q653137","display_name":"Content analysis","level":2,"score":0.26330000162124634},{"id":"https://openalex.org/C2780760462","wikidata":"https://www.wikidata.org/wiki/Q7927952","display_name":"Video modeling","level":4,"score":0.25279998779296875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746027.3755522","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5796142816543579,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W306648316","https://openalex.org/W2044807399","https://openalex.org/W2064721261","https://openalex.org/W2105552115","https://openalex.org/W2143492886","https://openalex.org/W2177696193","https://openalex.org/W2188687388","https://openalex.org/W2587639398","https://openalex.org/W2766165758","https://openalex.org/W2940819837","https://openalex.org/W2984369117","https://openalex.org/W2996799978","https://openalex.org/W3034829039","https://openalex.org/W3094144570","https://openalex.org/W3125250951","https://openalex.org/W4205768578","https://openalex.org/W4304091755","https://openalex.org/W4319308497","https://openalex.org/W4323642664","https://openalex.org/W4387968043","https://openalex.org/W4402683994","https://openalex.org/W4403792282"],"related_works":[],"abstract_inverted_index":{"There":[0],"exists":[1],"an":[2,132],"affective":[3],"gap":[4],"between":[5],"the":[6,10,13,36,49,59,129,136,141,187,206],"video":[7,14,24,62,81,93,97,138,154],"content":[8,26,156],"and":[9,48,76,92,110,123,175,191,209,213],"emotions":[11],"that":[12,183],"creator":[15],"hopes":[16],"to":[17,29,101,139],"evoke":[18],"in":[19],"viewers.":[20],"Existing":[21],"methods":[22],"for":[23,135,153],"emotional":[25,42,63,68,86,104,133,155,197],"analysis":[27,198],"attempt":[28],"learn":[30],"emotion-related":[31],"features":[32],"directly":[33],"or":[34],"enhance":[35,140],"discrimination":[37],"of":[38],"models,":[39],"but":[40],"lack":[41],"cause":[43,69,87,105,119,170,173],"descriptions,":[44],"limiting":[45],"their":[46],"interpretability":[47],"model's":[50],"reasoning":[51,142],"capabilities.":[52,199],"In":[53],"this":[54],"work,":[55],"we":[56,126,145],"introduce":[57],"EmoCause,":[58],"first":[60],"large-scale":[61],"dataset":[64,208],"with":[65,83,117,177],"multi-attribute,":[66],"multi-split":[67],"descriptions.":[70,88],"EmoCause":[71,163],"builds":[72],"upon":[73],"existing":[74,188],"datasets":[75],"is":[77,99],"divided":[78,113],"into":[79,114,131],"14K":[80],"splits,":[82],"over":[84],"294K":[85],"Inspired":[89],"by":[90],"psychology":[91],"prior":[94],"knowledge,":[95],"each":[96,118],"split":[98],"linked":[100],"four":[102],"primary":[103],"attributes:":[106],"audio,":[107],"visuals,":[108],"content,":[109],"shot,":[111],"further":[112],"12":[115],"sub-attributes,":[116],"including":[120],"a":[121,147],"fact":[122],"analysis.":[124],"Then,":[125],"merge":[127],"all":[128],"causes":[130],"chain-of-thought":[134],"entire":[137],"process.":[143],"Furthermore,":[144],"develop":[146],"multimodal":[148],"large":[149],"language":[150],"model":[151],"(MLLM)":[152],"analysis,":[157,174],"EmoDETective.":[158],"EmoDETective":[159],"performs":[160],"training":[161,210],"on":[162],"using":[164],"progressive":[165],"learning,":[166],"which":[167],"includes":[168],"Detecting":[169],"fact,":[171],"Exploring":[172],"Thinking":[176],"complete":[178],"reasoning.":[179],"Experimental":[180],"results":[181],"show":[182],"our":[184],"approach":[185],"surpasses":[186],"MLLMs":[189],"baseline":[190],"outperforms":[192],"state-of-the-art":[193],"methods,":[194],"demonstrating":[195],"superior":[196],"Ablation":[200],"experiments":[201],"indicate":[202],"improvements":[203],"from":[204],"both":[205],"proposed":[207],"strategy.":[211],"Code":[212],"datasets:":[214],"https://github.com/Listever/EmoDETective/":[215]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-25T00:00:00"}