{"id":"https://openalex.org/W4408355811","doi":"https://doi.org/10.1109/icassp49660.2025.10888960","title":"Diversified Augmentation with Domain Adaptation for Debiased Video Temporal Grounding","display_name":"Diversified Augmentation with Domain Adaptation for Debiased Video Temporal Grounding","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408355811","doi":"https://doi.org/10.1109/icassp49660.2025.10888960"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","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":"https://openalex.org/A5084316677","display_name":"Jinchang Ren","orcid":"https://orcid.org/0000-0001-6116-3194"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Junlong Ren","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou),Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou),Guangzhou,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021098663","display_name":"Gangjian Zhang","orcid":"https://orcid.org/0000-0003-1503-4513"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gangjian Zhang","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou),Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou),Guangzhou,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008194128","display_name":"Haifeng Sun","orcid":"https://orcid.org/0000-0003-3072-7422"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Sun","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101533496","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0003-2129-2148"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou),Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou),Guangzhou,China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5084316677"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04381791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9908999800682068,"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":0.9908999800682068,"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":0.9887999892234802,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9882000088691711,"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":0.7310317754745483},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6415432095527649},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.546362578868866},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3556186556816101},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3531769812107086},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10308244824409485},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.0753110945224762}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7310317754745483},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6415432095527649},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.546362578868866},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3556186556816101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3531769812107086},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10308244824409485},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0753110945224762},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2250539671","https://openalex.org/W2963524571","https://openalex.org/W2963916161","https://openalex.org/W2964089981","https://openalex.org/W2970898753","https://openalex.org/W2997429269","https://openalex.org/W3034743747","https://openalex.org/W3035339529","https://openalex.org/W3035640828","https://openalex.org/W3174026887","https://openalex.org/W3176763654","https://openalex.org/W3199096350","https://openalex.org/W4210336018","https://openalex.org/W4293363567","https://openalex.org/W4303427395","https://openalex.org/W4304086137","https://openalex.org/W4312467626","https://openalex.org/W4313469377","https://openalex.org/W4382462100","https://openalex.org/W4385245566","https://openalex.org/W4385571602","https://openalex.org/W4388191850","https://openalex.org/W4390873341","https://openalex.org/W4393159289","https://openalex.org/W4399562913","https://openalex.org/W4403780538","https://openalex.org/W4403791639","https://openalex.org/W4411244918","https://openalex.org/W6637618735","https://openalex.org/W6751097180","https://openalex.org/W6761423549","https://openalex.org/W6804424445"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Temporal":[0],"sentence":[1],"grounding":[2,176],"in":[3,61,65,174],"videos":[4,66,92,106,145],"(TSGV)":[5],"faces":[6],"challenges":[7],"due":[8],"to":[9,20,38,100,126,140,155],"public":[10],"TSGV":[11],"datasets":[12,51,164],"containing":[13],"significant":[14],"temporal":[15,23,41,58,102],"biases,":[16],"which":[17,112],"are":[18,36],"attributed":[19],"the":[21,45,49,57,138,147,166],"uneven":[22],"distributions":[24,111],"of":[25,48,171],"target":[26,34,97],"moments.":[27],"Existing":[28],"methods":[29],"generate":[30],"augmented":[31,105,133],"videos,":[32],"where":[33],"moments":[35],"forced":[37],"have":[39,52],"varying":[40,68],"locations.":[42],"However,":[43,104],"since":[44],"video":[46],"lengths":[47,95],"given":[50],"small":[53],"variations,":[54],"only":[55],"changing":[56],"locations":[59,99,154],"results":[60],"poor":[62],"generalization":[63,169],"ability":[64],"with":[67,93,146],"lengths.":[69],"In":[70],"this":[71],"paper,":[72],"we":[73,119],"propose":[74],"a":[75,85,121],"novel":[76],"training":[77],"framework":[78],"complemented":[79],"by":[80],"diversified":[81],"data":[82,89],"augmentation":[83,90],"and":[84,96,132,162,168],"domain":[86,122],"discriminator.":[87],"The":[88],"generates":[91],"various":[94],"moment":[98,153],"diversify":[101],"distributions.":[103],"inevitably":[107],"exhibit":[108],"distinct":[109,142],"feature":[110,128],"may":[113],"introduce":[114],"noise.":[115],"To":[116],"address":[117],"this,":[118],"design":[120],"adaptation":[123],"auxiliary":[124],"task":[125],"diminish":[127],"discrepancies":[129],"between":[130],"original":[131],"videos.":[134],"We":[135],"also":[136],"encourage":[137],"model":[139],"produce":[141],"predictions":[143],"for":[144],"same":[148],"text":[149],"queries":[150],"but":[151],"different":[152],"promote":[156],"debiased":[157],"training.":[158],"Experiments":[159],"on":[160],"Charades-CD":[161],"ActivityNet-CD":[163],"demonstrate":[165],"effectiveness":[167],"abilities":[170],"our":[172],"method":[173],"multiple":[175],"structures,":[177],"achieving":[178],"state-of-the-art":[179],"results.":[180]},"counts_by_year":[],"updated_date":"2026-02-26T08:16:20.718346","created_date":"2025-10-10T00:00:00"}
