{"id":"https://openalex.org/W4408351886","doi":"https://doi.org/10.1109/icassp49660.2025.10888314","title":"Contrast-Unity for Partially-Supervised Temporal Sentence Grounding","display_name":"Contrast-Unity for Partially-Supervised Temporal Sentence Grounding","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408351886","doi":"https://doi.org/10.1109/icassp49660.2025.10888314"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888314","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/A5062341127","display_name":"Haicheng Wang","orcid":"https://orcid.org/0000-0002-8238-8728"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haicheng Wang","raw_affiliation_strings":["Shanghai Jiao Tong University,SJTU Paris Elite Insitute of Technology,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,SJTU Paris Elite Insitute of Technology,China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100774574","display_name":"Chen Ju","orcid":"https://orcid.org/0000-0001-8472-7677"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Ju","raw_affiliation_strings":["Taobao &#x0026; Tmall Group of Alibaba,China"],"affiliations":[{"raw_affiliation_string":"Taobao &#x0026; Tmall Group of Alibaba,China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100544844","display_name":"Weixiong Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weixiong Lin","raw_affiliation_strings":["Shanghai Jiao Tong University,CMIC,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,CMIC,China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102703207","display_name":"Chaofan Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaofan Ma","raw_affiliation_strings":["Shanghai Jiao Tong University,CMIC,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,CMIC,China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101193639","display_name":"Shuai Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Xiao","raw_affiliation_strings":["Taobao &#x0026; Tmall Group of Alibaba,China"],"affiliations":[{"raw_affiliation_string":"Taobao &#x0026; Tmall Group of Alibaba,China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342828","display_name":"Ya Zhang","orcid":"https://orcid.org/0000-0002-5390-9053"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ya Zhang","raw_affiliation_strings":["Shanghai Jiao Tong University,School of Artificial Intelligence,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,School of Artificial Intelligence,China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100645705","display_name":"Yanfeng Wang","orcid":"https://orcid.org/0000-0002-3196-2347"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfeng Wang","raw_affiliation_strings":["Shanghai Jiao Tong University,School of Artificial Intelligence,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,School of Artificial Intelligence,China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5062341127"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01843378,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9902999997138977,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9902999997138977,"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/T10028","display_name":"Topic Modeling","score":0.9898999929428101,"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/T12031","display_name":"Speech and dialogue systems","score":0.9527000188827515,"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/contrast","display_name":"Contrast (vision)","score":0.7380520701408386},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6108574867248535},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5885746479034424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.515250027179718},{"id":"https://openalex.org/keywords/ground","display_name":"Ground","score":0.45133358240127563},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3227085769176483},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1469271183013916},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.09873130917549133}],"concepts":[{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.7380520701408386},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6108574867248535},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5885746479034424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.515250027179718},{"id":"https://openalex.org/C168993435","wikidata":"https://www.wikidata.org/wiki/Q6501125","display_name":"Ground","level":2,"score":0.45133358240127563},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3227085769176483},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1469271183013916},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.09873130917549133}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888314","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":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W2116137332","https://openalex.org/W2250539671","https://openalex.org/W2467794422","https://openalex.org/W2560886373","https://openalex.org/W2963017553","https://openalex.org/W2963524571","https://openalex.org/W2970641574","https://openalex.org/W2975310793","https://openalex.org/W2979933490","https://openalex.org/W2998355566","https://openalex.org/W3025323587","https://openalex.org/W3034743747","https://openalex.org/W3035339529","https://openalex.org/W3110589170","https://openalex.org/W3130619535","https://openalex.org/W3150473382","https://openalex.org/W3175082063","https://openalex.org/W3176201273","https://openalex.org/W3200255008","https://openalex.org/W3202825210","https://openalex.org/W3210101297","https://openalex.org/W4224314500","https://openalex.org/W4230025115","https://openalex.org/W4283709432","https://openalex.org/W4283814553","https://openalex.org/W4295046616","https://openalex.org/W4304086137","https://openalex.org/W4306913475","https://openalex.org/W4312245888","https://openalex.org/W4312402470","https://openalex.org/W4312480274","https://openalex.org/W4386071694","https://openalex.org/W4386076626","https://openalex.org/W4390872513","https://openalex.org/W4390873056","https://openalex.org/W4390874127","https://openalex.org/W4394625876","https://openalex.org/W4402716319","https://openalex.org/W4403002333","https://openalex.org/W6787021940","https://openalex.org/W6851338117","https://openalex.org/W6853169897","https://openalex.org/W6859757098","https://openalex.org/W6865511750","https://openalex.org/W6874432786"],"related_works":["https://openalex.org/W2021787609","https://openalex.org/W1537063595","https://openalex.org/W2097328689","https://openalex.org/W4234899305","https://openalex.org/W2379604501","https://openalex.org/W2075740387","https://openalex.org/W2069592018","https://openalex.org/W2373854414","https://openalex.org/W2574906695","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Temporal":[0],"sentence":[1],"grounding":[2,113,122,133],"aims":[3],"to":[4,119],"detect":[5],"event":[6],"timestamps":[7],"described":[8],"by":[9],"the":[10,31,76,84,116,148],"natural":[11],"language":[12],"query":[13],"from":[14],"given":[15],"untrimmed":[16],"videos.":[17],"The":[18],"existing":[19],"fully-supervised":[20,127],"setting":[21,33],"achieves":[22],"great":[23],"results":[24],"but":[25,37],"requires":[26],"expensive":[27],"annotation":[28,46],"costs;":[29],"while":[30],"weakly-supervised":[32],"adopts":[34],"cheap":[35],"labels":[36],"performs":[38],"poorly.":[39],"To":[40,62],"pursue":[41],"high":[42],"performance":[43],"with":[44,75],"less":[45],"costs,":[47],"this":[48],"paper":[49],"introduces":[50],"an":[51],"intermediate":[52],"partially-supervised":[53],"setting,":[54],"i.e.,":[55],"only":[56],"short-clip":[57],"is":[58],"available":[59],"during":[60],"training.":[61],"make":[63],"full":[64],"use":[65],"of":[66,79,150],"partial":[67,151],"labels,":[68],"we":[69,87,124],"specially":[70],"design":[71],"one":[72,126],"contrast-unity":[73],"framework,":[74],"two-stage":[77],"goal":[78],"implicit-explicit":[80],"progressive":[81],"grounding.":[82],"In":[83,115],"implicit":[85],"stage,":[86,118],"align":[88],"event-query":[89,99],"representations":[90,110],"at":[91],"fine":[92],"granularity":[93],"using":[94,129],"comprehensive":[95],"quadruple":[96],"contrastive":[97],"learning:":[98],"gather,":[100],"event-background":[101],"separation,":[102],"intra-cluster":[103],"compactness":[104],"and":[105,135,139,144],"inter-cluster":[106],"separability.":[107],"Then,":[108],"high-quality":[109],"bring":[111],"acceptable":[112],"pseudo-labels.":[114],"explicit":[117],"explicitly":[120],"optimize":[121],"objectives,":[123],"train":[125],"model":[128],"obtained":[130],"pseudo-labels":[131],"for":[132],"refinement":[134],"denoising.":[136],"Extensive":[137],"experiments":[138],"thoroughly":[140],"ablations":[141],"on":[142],"Charades-STA":[143],"ActivityNet":[145],"Captions":[146],"demonstrate":[147],"significance":[149],"supervision,":[152],"as":[153,155],"well":[154],"our":[156],"superior":[157],"performance.":[158]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
