{"id":"https://openalex.org/W4412394892","doi":"https://doi.org/10.1145/3726302.3729984","title":"Gaming for Boundary: Elastic Localization for Frame-Supervised Video Moment Retrieval","display_name":"Gaming for Boundary: Elastic Localization for Frame-Supervised Video Moment Retrieval","publication_year":2025,"publication_date":"2025-07-13","ids":{"openalex":"https://openalex.org/W4412394892","doi":"https://doi.org/10.1145/3726302.3729984"},"language":"en","primary_location":{"id":"doi:10.1145/3726302.3729984","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3729984","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3729984","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3729984","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100666298","display_name":"Hao Liu","orcid":"https://orcid.org/0009-0003-1026-4499"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Liu","raw_affiliation_strings":["Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0009-0003-1026-4499","affiliations":[{"raw_affiliation_string":"Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101875643","display_name":"Yupeng Hu","orcid":"https://orcid.org/0000-0002-5653-8286"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yupeng Hu","raw_affiliation_strings":["Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-5653-8286","affiliations":[{"raw_affiliation_string":"Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100366746","display_name":"Kun Wang","orcid":"https://orcid.org/0009-0008-4856-8806"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Wang","raw_affiliation_strings":["Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0009-0008-4856-8806","affiliations":[{"raw_affiliation_string":"Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039731055","display_name":"Yinwei Wei","orcid":"https://orcid.org/0000-0003-1791-3159"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinwei Wei","raw_affiliation_strings":["Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0003-1791-3159","affiliations":[{"raw_affiliation_string":"Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038612499","display_name":"Liqiang Nie","orcid":"https://orcid.org/0000-0003-1476-0273"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqiang Nie","raw_affiliation_strings":["Harbin Institute of Technology (Shenzhen), Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1476-0273","affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"917","last_page":"926"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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/T11439","display_name":"Video Analysis and Summarization","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"}}],"keywords":[{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.7319123148918152},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6848859190940857},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6541172862052917},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5948870778083801},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5370357036590576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47929683327674866},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3603641986846924},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1383875012397766},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10171914100646973},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09271040558815002},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.06854096055030823}],"concepts":[{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.7319123148918152},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6848859190940857},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6541172862052917},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5948870778083801},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5370357036590576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47929683327674866},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3603641986846924},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1383875012397766},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10171914100646973},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09271040558815002},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.06854096055030823},{"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:10.1145/3726302.3729984","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3729984","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3729984","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3726302.3729984","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3729984","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3729984","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3981135610","display_name":null,"funder_award_id":"62276155","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4068028691","display_name":null,"funder_award_id":"ZR2021MF040","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G516724520","display_name":null,"funder_award_id":"ZR2021MF040, ZR2022QF047","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G5630254371","display_name":null,"funder_award_id":"62236003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G764597593","display_name":null,"funder_award_id":"62276155, 62236003, 62206156, 62206157","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G7846368369","display_name":null,"funder_award_id":"ZR2022QF047","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G8163078446","display_name":null,"funder_award_id":"62206156","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8921480279","display_name":null,"funder_award_id":"62206157","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412394892.pdf","grobid_xml":"https://content.openalex.org/works/W4412394892.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1927052826","https://openalex.org/W1942126453","https://openalex.org/W2111078031","https://openalex.org/W2250539671","https://openalex.org/W2337252826","https://openalex.org/W2767109396","https://openalex.org/W2956959730","https://openalex.org/W2963524571","https://openalex.org/W2963916161","https://openalex.org/W2964089981","https://openalex.org/W2997429269","https://openalex.org/W2998355566","https://openalex.org/W3035339529","https://openalex.org/W3088744711","https://openalex.org/W3108328693","https://openalex.org/W3135773387","https://openalex.org/W3157181916","https://openalex.org/W3174026887","https://openalex.org/W3174364033","https://openalex.org/W3199096350","https://openalex.org/W4214582399","https://openalex.org/W4224314500","https://openalex.org/W4230025115","https://openalex.org/W4232841423","https://openalex.org/W4283814553","https://openalex.org/W4289639375","https://openalex.org/W4312402470","https://openalex.org/W4312991156","https://openalex.org/W4327852044","https://openalex.org/W4385757441","https://openalex.org/W4386076225","https://openalex.org/W4386076265","https://openalex.org/W4387968116","https://openalex.org/W4387968586","https://openalex.org/W4390873056","https://openalex.org/W4390874127","https://openalex.org/W4392207775","https://openalex.org/W4393150012","https://openalex.org/W4393152871","https://openalex.org/W4393156097","https://openalex.org/W4393159035","https://openalex.org/W4403792095","https://openalex.org/W4409367947","https://openalex.org/W6600686112"],"related_works":["https://openalex.org/W2088123951","https://openalex.org/W2755342338","https://openalex.org/W2779427294","https://openalex.org/W2775347418","https://openalex.org/W2625805835","https://openalex.org/W2079911747","https://openalex.org/W3116076068","https://openalex.org/W3003936178","https://openalex.org/W2145652935","https://openalex.org/W1573812202"],"abstract_inverted_index":{"Video":[0],"moment":[1,40,82,87,109,119],"retrieval":[2,120],"aims":[3],"to":[4,18,33,51,104,116],"determine":[5],"the":[6,35,38,52,72,106,141],"temporal":[7],"boundaries":[8],"of":[9,67,143],"moments":[10],"within":[11],"a":[12,29,91,101,111],"video":[13,81],"that":[14],"are":[15],"most":[16,107],"relevant":[17],"textual":[19],"queries.":[20,42],"Unlike":[21],"fully-supervised":[22],"and":[23,41,59,110,137],"weakly-supervised":[24],"methods,":[25],"frame-supervised":[26,80],"methods":[27],"use":[28],"single":[30],"annotated":[31],"frame":[32],"model":[34],"similarities":[36],"between":[37],"target":[39,86],"This":[43],"task":[44],"is":[45],"still":[46],"in":[47],"its":[48],"infancy":[49],"due":[50],"following":[53],"challenges:":[54],"1)":[55],"indiscernible":[56],"intra-modal":[57],"information":[58,63],"2)":[60],"inflexible":[61],"inter-modal":[62],"interaction.":[64],"In":[65],"light":[66],"these":[68],"challenges,":[69],"we":[70],"introduce":[71],"Gaming":[73],"fOr":[74],"elAstic":[75],"Localization":[76],"(GOAL)":[77],"method":[78],"for":[79],"retrieval.":[83],"It":[84],"enables":[85],"boundary":[88,126],"localization":[89],"from":[90],"novel":[92],"strategic":[93],"game":[94],"perspective.":[95],"GOAL":[96],"encompasses":[97],"two":[98],"core":[99],"components:":[100],"game-based":[102],"paradigm":[103],"find":[105],"reliable":[108],"Dynamic":[112],"Updating":[113],"Technique":[114],"(DUT)":[115],"continuously":[117],"optimize":[118],"through":[121],"dynamic":[122],"gradients,":[123],"thereby":[124],"refining":[125],"predictions":[127],"with":[128],"different":[129],"feedback.":[130],"Extensive":[131],"experiments":[132],"on":[133],"Charades-STA,":[134],"ActivityNet":[135],"Captions,":[136],"TACoS":[138],"have":[139],"validated":[140],"effectiveness":[142],"GOAL.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}
