{"id":"https://openalex.org/W4412375150","doi":"https://doi.org/10.1109/tmm.2025.3586156","title":"HCFMN: Hierarchical Cross-Modal Fine-Grained Mining Network for Temporal Sentence Grounding","display_name":"HCFMN: Hierarchical Cross-Modal Fine-Grained Mining Network for Temporal Sentence Grounding","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412375150","doi":"https://doi.org/10.1109/tmm.2025.3586156"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2025.3586156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3586156","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-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/A5100638440","display_name":"Ran Ran","orcid":"https://orcid.org/0000-0001-9350-1389"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ran Ran","raw_affiliation_strings":["Center for Future Media and School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-9350-1389","affiliations":[{"raw_affiliation_string":"Center for Future Media and School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060342584","display_name":"Jiwei Wei","orcid":"https://orcid.org/0000-0003-3912-1742"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiwei Wei","raw_affiliation_strings":["Center for Future Media and School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-3912-1742","affiliations":[{"raw_affiliation_string":"Center for Future Media and School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018877295","display_name":"Yuyang Zhou","orcid":"https://orcid.org/0000-0002-2188-2781"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuyang Zhou","raw_affiliation_strings":["School of Cyberspace Security, Hainan University, Haikou, China","Hainan University, Haikou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyberspace Security, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203"]},{"raw_affiliation_string":"Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017441954","display_name":"Xiang Guan","orcid":"https://orcid.org/0000-0002-5162-453X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Guan","raw_affiliation_strings":["Center for Future Media and School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-5162-453X","affiliations":[{"raw_affiliation_string":"Center for Future Media and School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397616","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-5070-4511"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["Center for Future Media and School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-5070-4511","affiliations":[{"raw_affiliation_string":"Center for Future Media and School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052993469","display_name":"Heng Tao Shen","orcid":"https://orcid.org/0000-0002-2999-2088"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Tao Shen","raw_affiliation_strings":["Center Future Media and the School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-2999-2088","affiliations":[{"raw_affiliation_string":"Center Future Media and the School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100638440"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07982801,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":null,"first_page":"6462","last_page":"6474"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9973999857902527,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9973999857902527,"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"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.996999979019165,"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"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.980400025844574,"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/computer-science","display_name":"Computer science","score":0.8609777688980103},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6961463689804077},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5250420570373535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.356897234916687}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8609777688980103},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6961463689804077},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5250420570373535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.356897234916687},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2025.3586156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3586156","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1294623083","display_name":null,"funder_award_id":"62220106008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2847343476","display_name":null,"funder_award_id":"2025A1515010108","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G591136627","display_name":null,"funder_award_id":"62306067","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/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1927052826","https://openalex.org/W2111078031","https://openalex.org/W2250539671","https://openalex.org/W2337252826","https://openalex.org/W2798354744","https://openalex.org/W2948958195","https://openalex.org/W2962766617","https://openalex.org/W2963017553","https://openalex.org/W2963393391","https://openalex.org/W2963916161","https://openalex.org/W2964089981","https://openalex.org/W2997429269","https://openalex.org/W2998495542","https://openalex.org/W3025323587","https://openalex.org/W3034743747","https://openalex.org/W3035339529","https://openalex.org/W3035640828","https://openalex.org/W3092739351","https://openalex.org/W3095206982","https://openalex.org/W3105232955","https://openalex.org/W3124671614","https://openalex.org/W3152619510","https://openalex.org/W3166712493","https://openalex.org/W3169472988","https://openalex.org/W3174490084","https://openalex.org/W3175082063","https://openalex.org/W3176471072","https://openalex.org/W3199096350","https://openalex.org/W3200924860","https://openalex.org/W3206597437","https://openalex.org/W3211772574","https://openalex.org/W4214931087","https://openalex.org/W4221148502","https://openalex.org/W4221154629","https://openalex.org/W4295046616","https://openalex.org/W4298364821","https://openalex.org/W4304080717","https://openalex.org/W4304086137","https://openalex.org/W4306913475","https://openalex.org/W4312467626","https://openalex.org/W4318953520","https://openalex.org/W4322576838","https://openalex.org/W4382240078","https://openalex.org/W4385245566","https://openalex.org/W4386066129","https://openalex.org/W4386076626","https://openalex.org/W4386231783","https://openalex.org/W4390874127","https://openalex.org/W4393252942","https://openalex.org/W4394938955","https://openalex.org/W4400907802","https://openalex.org/W4411244918"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Temporal":[0],"Sentence":[1],"Grounding":[2],"(TSG)":[3],"requires":[4],"a":[5,76,147,160],"thorough":[6],"understanding":[7],"of":[8,40,102,109],"the":[9,58,71,100,107,132,136,156,182],"complex":[10],"cross-modal":[11,141],"semantic":[12,54,142],"relationships":[13,93],"between":[14],"videos":[15],"and":[16,42,62,131,138,166,178],"text.":[17,43],"However,":[18],"existing":[19],"methods":[20],"fail":[21],"to":[22,36,50,94,99,117,135],"accurately":[23],"capture":[24],"content":[25,114],"at":[26,124],"diverse":[27],"granularity":[28],"levels":[29],"with":[30],"distinct":[31],"semantics,":[32],"making":[33],"it":[34],"difficult":[35],"achieve":[37],"fine":[38,118],"alignment":[39],"visuals":[41],"To":[44],"overcome":[45],"this":[46],"issue,":[47],"we":[48,74],"attempt":[49],"mine":[51],"for":[52,70],"rich":[53],"clues":[55],"by":[56,119],"utilizing":[57],"hierarchical":[59,92],"correspondence":[60],"structure":[61],"multi-granularity":[63,112],"visual-to-text":[64],"reconstruction,":[65],"achieving":[66],"fine-grained":[67,140],"reasoning.":[68],"Specifically,":[69],"TSG":[72],"task,":[73],"propose":[75],"novel":[77,148],"Hierarchical":[78],"Cross-modal":[79],"Fine-grained":[80],"Mining":[81],"Network":[82],"(HCFMN),":[83],"which":[84,153],"utilizes":[85],"an":[86],"attention":[87,151,162],"mechanism":[88],"based":[89,163],"on":[90,121,164,172],"temporal":[91,96,122,129],"extract":[95],"features":[97,123,130],"corresponding":[98],"text":[101],"different":[103,125],"granularities.":[104],"We":[105],"leverage":[106],"reconstructability":[108],"visual-to-text,":[110],"recovering":[111],"textual":[113],"from":[115],"coarse":[116],"focusing":[120],"layers,":[126],"hierarchically":[127],"extracting":[128],"dependencies":[133],"related":[134],"text,":[137],"implementing":[139],"alignment.":[143],"Furthermore,":[144],"HCFMN":[145],"introduces":[146],"partitioned":[149],"efficient":[150],"mechanism,":[152],"significantly":[154],"enhances":[155],"model\u2019s":[157],"efficiency":[158],"through":[159],"two-stage":[161],"sequence":[165],"channel":[167],"compression.":[168],"Extensive":[169],"experimental":[170],"results":[171],"three":[173],"public":[174],"datasets":[175],"(ActivityNet-Captions,":[176],"TACoS,":[177],"Charades-STA)":[179],"demonstrate":[180],"that":[181],"proposed":[183],"method":[184],"achieves":[185],"state-of-the-art":[186],"performance.":[187]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
