{"id":"https://openalex.org/W4406612202","doi":"https://doi.org/10.1109/smc54092.2024.10831283","title":"Resolving Spurious Temporal Location Dependency for Video Corpus Moment Retrieval","display_name":"Resolving Spurious Temporal Location Dependency for Video Corpus Moment Retrieval","publication_year":2024,"publication_date":"2024-10-06","ids":{"openalex":"https://openalex.org/W4406612202","doi":"https://doi.org/10.1109/smc54092.2024.10831283"},"language":"en","primary_location":{"id":"doi:10.1109/smc54092.2024.10831283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc54092.2024.10831283","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5063772764","display_name":"Yishuo Zhang","orcid":"https://orcid.org/0000-0001-6033-5679"},"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":"Yishuo Zhang","raw_affiliation_strings":["School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications,Beijing,China,100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051221338","display_name":"Lanshan Zhang","orcid":"https://orcid.org/0000-0002-0674-7864"},"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":"Lanshan Zhang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Network System and Network Culture,Beijing,China,100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Network System and Network Culture,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101821856","display_name":"Zhizhen Zhang","orcid":"https://orcid.org/0000-0001-9837-9845"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhizhen Zhang","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University,Shenzhen,China,518057"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University,Shenzhen,China,518057","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109634584","display_name":"Ziyi Wang","orcid":"https://orcid.org/0009-0006-5057-9200"},"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":"Ziyi Wang","raw_affiliation_strings":["School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications,Beijing,China,100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084618257","display_name":"Xiaohui Xie","orcid":"https://orcid.org/0000-0002-5479-6345"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohui Xie","raw_affiliation_strings":["Tsinghua University,Department of Computer Science and Technology,Beijing,China,100089"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Computer Science and Technology,Beijing,China,100089","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100329071","display_name":"Wendong Wang","orcid":"https://orcid.org/0000-0002-9041-1721"},"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":"Wendong Wang","raw_affiliation_strings":["School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications,Beijing,China,100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24081653,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5282","last_page":"5287"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9983000159263611,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.998199999332428,"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/spurious-relationship","display_name":"Spurious relationship","score":0.8819332122802734},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6984314918518066},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.678474485874176},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6190627217292786},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43102559447288513},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12231671810150146},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.07105746865272522}],"concepts":[{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.8819332122802734},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6984314918518066},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.678474485874176},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6190627217292786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43102559447288513},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12231671810150146},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.07105746865272522},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc54092.2024.10831283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc54092.2024.10831283","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2963017553","https://openalex.org/W3104862079","https://openalex.org/W3152619510","https://openalex.org/W3155721152","https://openalex.org/W3174490084","https://openalex.org/W4303427395","https://openalex.org/W4310390842","https://openalex.org/W4375868956","https://openalex.org/W4385245566","https://openalex.org/W4386766790","https://openalex.org/W6722336247","https://openalex.org/W6767057606","https://openalex.org/W6777578573","https://openalex.org/W6785259804"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3113091479","https://openalex.org/W2162899405","https://openalex.org/W941090075","https://openalex.org/W2044987316","https://openalex.org/W3134374554","https://openalex.org/W2237480245","https://openalex.org/W2075065631"],"abstract_inverted_index":{"Video":[0],"Corpus":[1],"Moment":[2],"Retrieval":[3,112],"aims":[4],"to":[5,55,95,136,161],"retrieve":[6],"the":[7,16,20,84,115,121,139,149,163,168,172,188],"relevant":[8],"video":[9,22,165],"from":[10,107],"a":[11,25,63,88,93,108,130,154],"large":[12],"corpus":[13],"and":[14,34,61,91,171],"localize":[15],"corresponding":[17],"moment":[18],"within":[19],"target":[21,125],"based":[23],"on":[24,58,120],"specific":[26],"query.":[27],"Existing":[28],"methods":[29,44],"have":[30],"achieved":[31],"promising":[32],"accuracy":[33],"efficiency":[35],"through":[36],"dedicated":[37],"model":[38,94],"designs.":[39],"However,":[40],"we":[41,82,100,128,152],"suggest":[42],"these":[43],"overly":[45],"exploit":[46],"dataset":[47,192],"biases":[48,193],"instead":[49],"of":[50,124,141],"semantics.":[51],"This":[52],"will":[53],"lead":[54],"exaggerated":[56],"performances":[57],"biased":[59],"datasets":[60],"implicit":[62],"significant":[64],"deficiency":[65],"in":[66,76],"generalizability,":[67],"which":[68],"is":[69],"an":[70,102],"important":[71],"metric":[72],"yet":[73],"not":[74],"considered":[75],"existing":[77,116,199],"studies.":[78],"In":[79],"this":[80,97,142],"paper,":[81],"observe":[83],"degradation":[85],"caused":[86],"by":[87,144,191],"spurious":[89],"dependency":[90,119,143],"design":[92],"mitigate":[96],"harm.":[98],"Specifically,":[99],"generate":[101],"Out-Of-Distributed":[103],"(OOD)":[104],"test":[105],"set":[106],"widely":[109],"used":[110],"TV":[111],"dataset,":[113],"revealing":[114],"models'":[117],"erroneous":[118],"temporal":[122],"locations":[123],"moments.":[126],"Therefore,":[127],"utilize":[129],"theoretical":[131],"Structural":[132],"Causal":[133],"Model":[134,159],"(SCM)":[135],"dig":[137],"into":[138,167],"roots":[140],"constructing":[145],"causal":[146,180],"paths":[147],"for":[148],"models.":[150],"Furthermore,":[151],"propose":[153],"concrete":[155],"Clip":[156],"Location":[157],"Deconfounding":[158],"(CLDM)":[160],"disentangle":[162],"confounded":[164],"features":[166],"content":[169],"part":[170],"location":[173],"confounder":[174],"part,":[175],"then":[176],"produce":[177],"results":[178],"with":[179],"intervention.":[181],"Experiments":[182],"show":[183],"that":[184],"CLDM":[185],"significantly":[186],"alleviates":[187],"impact":[189],"brought":[190],"thus":[194],"providing":[195],"advanced":[196],"generalizability":[197],"among":[198],"works.":[200]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
