{"id":"https://openalex.org/W4304080189","doi":"https://doi.org/10.1145/3503161.3547886","title":"Dilated Context Integrated Network with Cross-Modal Consensus for Temporal Emotion Localization in Videos","display_name":"Dilated Context Integrated Network with Cross-Modal Consensus for Temporal Emotion Localization in Videos","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4304080189","doi":"https://doi.org/10.1145/3503161.3547886"},"language":"en","primary_location":{"id":"doi:10.1145/3503161.3547886","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3503161.3547886","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3503161.3547886","source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3503161.3547886","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100648014","display_name":"Juncheng Li","orcid":"https://orcid.org/0000-0001-7314-6754"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Juncheng Li","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065657900","display_name":"Junlin Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junlin Xie","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043617790","display_name":"Linchao Zhu","orcid":"https://orcid.org/0000-0002-4093-7557"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Linchao Zhu","raw_affiliation_strings":["University of Technology Sydney, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091805216","display_name":"Long Qian","orcid":"https://orcid.org/0000-0001-5971-0910"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Qian","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063062444","display_name":"Siliang Tang","orcid":"https://orcid.org/0000-0002-7356-9711"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siliang Tang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082131901","display_name":"Wenqiao Zhang","orcid":"https://orcid.org/0000-0002-5988-7609"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wenqiao Zhang","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066687788","display_name":"Haochen Shi","orcid":"https://orcid.org/0000-0002-9999-8979"},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Haochen Shi","raw_affiliation_strings":["Universit\u00e9 de Montr\u00e9al, Montr\u00e9al, PQ, Canada"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Montr\u00e9al, Montr\u00e9al, PQ, Canada","institution_ids":["https://openalex.org/I70931966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100757086","display_name":"Shengyu Zhang","orcid":"https://orcid.org/0000-0001-7480-398X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengyu Zhang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050660610","display_name":"Longhui Wei","orcid":"https://orcid.org/0000-0001-6916-3009"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longhui Wei","raw_affiliation_strings":["Huawei Cloud, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Huawei Cloud, Beijing, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111504451","display_name":"Qi Tian","orcid":"https://orcid.org/0009-0003-2676-5300"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Tian","raw_affiliation_strings":["Huawei Cloud, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Cloud, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008666077","display_name":"Yueting Zhuang","orcid":"https://orcid.org/0000-0001-9017-2508"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueting Zhuang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5100648014"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.3581,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.67253246,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"5083","last_page":"5092"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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":1.0,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9995999932289124,"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":0.9975000023841858,"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":0.8313117623329163},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.6397793292999268},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6258861422538757},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5973801612854004},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.504883348941803},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4828970432281494},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3349263072013855}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8313117623329163},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.6397793292999268},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6258861422538757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5973801612854004},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.504883348941803},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4828970432281494},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3349263072013855},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3503161.3547886","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3503161.3547886","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3503161.3547886","source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3503161.3547886","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3503161.3547886","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3503161.3547886","source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.75,"display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G3551653136","display_name":null,"funder_award_id":"2018AAA0101900","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5087339601","display_name":null,"funder_award_id":"01019","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","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"},{"id":"https://openalex.org/F4320322927","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4304080189.pdf","grobid_xml":"https://content.openalex.org/works/W4304080189.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W1457313385","https://openalex.org/W1522734439","https://openalex.org/W1927052826","https://openalex.org/W2003249666","https://openalex.org/W2137565679","https://openalex.org/W2146502635","https://openalex.org/W2436394355","https://openalex.org/W2471143248","https://openalex.org/W2519328139","https://openalex.org/W2604113307","https://openalex.org/W2740693122","https://openalex.org/W2755876276","https://openalex.org/W2952435096","https://openalex.org/W2962677524","https://openalex.org/W2962709777","https://openalex.org/W2962876901","https://openalex.org/W2962934715","https://openalex.org/W2963042261","https://openalex.org/W2963524571","https://openalex.org/W2963542293","https://openalex.org/W2963890755","https://openalex.org/W2963916161","https://openalex.org/W2964089981","https://openalex.org/W2964274041","https://openalex.org/W2969897437","https://openalex.org/W2982053164","https://openalex.org/W2983918066","https://openalex.org/W2986407524","https://openalex.org/W2988098865","https://openalex.org/W2997429269","https://openalex.org/W2998355566","https://openalex.org/W3034549794","https://openalex.org/W3034624317","https://openalex.org/W3035124602","https://openalex.org/W3036530731","https://openalex.org/W3048921104","https://openalex.org/W3092659741","https://openalex.org/W3093362452","https://openalex.org/W3104862079","https://openalex.org/W3106477714","https://openalex.org/W3109715102","https://openalex.org/W3174966920","https://openalex.org/W3175580044","https://openalex.org/W3182328899","https://openalex.org/W3183719433","https://openalex.org/W3203375606","https://openalex.org/W4200635486","https://openalex.org/W4212774754","https://openalex.org/W4213355628","https://openalex.org/W4285069877","https://openalex.org/W4304091498","https://openalex.org/W4312245888","https://openalex.org/W4313166273","https://openalex.org/W6600804061"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W103652678","https://openalex.org/W4226090359","https://openalex.org/W2059697060","https://openalex.org/W936373746","https://openalex.org/W2975817033","https://openalex.org/W4386392971","https://openalex.org/W1987706094"],"abstract_inverted_index":{"Understanding":[0],"human":[1,54],"emotions":[2,55,80],"is":[3,235],"a":[4,40,115,122,174,197],"crucial":[5],"ability":[6],"for":[7],"intelligent":[8],"robots":[9],"to":[10,20,26,32,52,74,191],"provide":[11],"better":[12],"human-robot":[13],"interactions.":[14],"The":[15,79,87,99,126,138,230],"existing":[16],"works":[17],"are":[18,90,103],"limited":[19],"trimmed":[21],"video-level":[22],"emotion":[23,88,228],"classification,":[24],"failing":[25],"locate":[27],"the":[28,33,109,147,150,155,169,181,186,211,221],"temporal":[29,60,75,84,101,131,136,152,204,227],"window":[30],"corresponding":[31,59],"emotion.":[34],"In":[35],"this":[36,233],"paper,":[37],"we":[38,113,172],"introduce":[39,173],"new":[41,198],"task,":[42],"named":[43],"Temporal":[44],"Emotion":[45],"Localization":[46],"in":[47,62,92],"videos":[48,64],"(TEL),":[49],"which":[50,179],"aims":[51],"detect":[53],"and":[56,95,105,158,189],"localize":[57],"their":[58],"boundaries":[61,205],"untrimmed":[63],"with":[65,121,201],"aligned":[66,187],"subtitles.":[67],"TEL":[68,212],"presents":[69],"three":[70],"unique":[71],"challenges":[72],"compared":[73],"action":[76],"localization:":[77],"1)":[78],"have":[81],"extremely":[82],"varied":[83,130],"dynamics;":[85],"2)":[86],"cues":[89],"embedded":[91],"both":[93],"appearances":[94],"complex":[96,142],"plots;":[97],"3)":[98],"fine-grained":[100,163],"annotations":[102],"complicated":[104],"labor-intensive.":[106],"To":[107,167],"address":[108,168],"first":[110],"two":[111],"challenges,":[112],"propose":[114],"novel":[116],"dilated":[117],"context":[118],"integrated":[119],"network":[120],"coarse-fine":[123],"two-stream":[124],"architecture.":[125],"coarse":[127,156],"stream":[128,140,157],"captures":[129],"dynamics":[132],"by":[133,145],"modeling":[134],"multi-granularity":[135,151],"contexts.":[137],"fine":[139],"achieves":[141],"plots":[143],"understanding":[144],"reasoning":[146],"dependency":[148],"between":[149,185],"contexts":[153],"from":[154],"adaptively":[159],"integrates":[160],"them":[161],"into":[162],"video":[164,188],"segment":[165],"features.":[166],"third":[170],"challenge,":[171],"cross-modal":[175],"consensus":[176,184],"learning":[177],"paradigm,":[178],"leverages":[180],"inherent":[182],"semantic":[183],"subtitle":[190],"achieve":[192],"weakly-supervised":[193],"learning.":[194],"We":[195],"contribute":[196],"testing":[199],"set":[200],"3,000":[202],"manually-annotated":[203],"so":[206],"that":[207],"future":[208],"research":[209],"on":[210,226],"problem":[213],"can":[214],"be":[215],"quantitatively":[216],"evaluated.":[217],"Extensive":[218],"experiments":[219],"show":[220],"effectiveness":[222],"of":[223,232],"our":[224],"approach":[225],"localization.":[229],"repository":[231],"work":[234],"at":[236],"https://github.com/YYJMJC/TemporalEmotion-Localization-in-Videos.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
