{"id":"https://openalex.org/W4321471529","doi":"https://doi.org/10.48550/arxiv.2302.09850","title":"Constraint and Union for Partially-Supervised Temporal Sentence Grounding","display_name":"Constraint and Union for Partially-Supervised Temporal Sentence Grounding","publication_year":2023,"publication_date":"2023-02-20","ids":{"openalex":"https://openalex.org/W4321471529","doi":"https://doi.org/10.48550/arxiv.2302.09850"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2302.09850","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2302.09850","pdf_url":"https://arxiv.org/pdf/2302.09850","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2302.09850","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100774574","display_name":"Chen Ju","orcid":"https://orcid.org/0000-0001-8472-7677"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ju, Chen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062341127","display_name":"Haicheng Wang","orcid":"https://orcid.org/0000-0002-8238-8728"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Haicheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101682289","display_name":"Jinxiang Liu","orcid":"https://orcid.org/0000-0003-2583-8881"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Jinxiang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102703207","display_name":"Chaofan Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Chaofan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342828","display_name":"Ya Zhang","orcid":"https://orcid.org/0000-0002-5390-9053"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Ya","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083795433","display_name":"Peisen Zhao","orcid":"https://orcid.org/0000-0002-3787-193X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Peisen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038083485","display_name":"Jianlong Chang","orcid":"https://orcid.org/0000-0002-0610-907X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chang, Jianlong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100393506","display_name":"Qi Tian","orcid":"https://orcid.org/0000-0002-7252-5047"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tian, Qi","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100774574"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9991000294685364,"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":0.9976000189781189,"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":0.721968948841095},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6784417629241943},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.6549005508422852},{"id":"https://openalex.org/keywords/timestamp","display_name":"Timestamp","score":0.5952885150909424},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.5866703987121582},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5621441006660461},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5528841614723206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5260957479476929},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.51674884557724},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4799778461456299},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32769984006881714},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14378240704536438}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.721968948841095},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6784417629241943},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6549005508422852},{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.5952885150909424},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.5866703987121582},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5621441006660461},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5528841614723206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5260957479476929},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.51674884557724},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4799778461456299},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32769984006881714},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14378240704536438},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2302.09850","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2302.09850","pdf_url":"https://arxiv.org/pdf/2302.09850","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2302.09850","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2302.09850","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2302.09850","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2302.09850","pdf_url":"https://arxiv.org/pdf/2302.09850","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4321471529.pdf","grobid_xml":"https://content.openalex.org/works/W4321471529.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2060561905","https://openalex.org/W1417711376","https://openalex.org/W1986883493","https://openalex.org/W2361861616","https://openalex.org/W2469862403","https://openalex.org/W2166378262","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2035891203","https://openalex.org/W4379524643"],"abstract_inverted_index":{"Temporal":[0],"sentence":[1],"grounding":[2,118,138],"aims":[3],"to":[4,81,134,143],"detect":[5],"the":[6,11,32,103,156],"event":[7],"timestamps":[8],"described":[9],"by":[10],"natural":[12],"language":[13],"query":[14],"from":[15],"given":[16],"untrimmed":[17],"videos.":[18],"The":[19,94],"existing":[20],"fully-supervised":[21,132],"setting":[22,34],"achieves":[23],"great":[24],"performance":[25,44,115],"but":[26,38],"requires":[27],"expensive":[28],"annotation":[29,47],"costs;":[30],"while":[31,102],"weakly-supervised":[33],"adopts":[35],"cheap":[36],"labels":[37,62],"performs":[39],"poorly.":[40],"To":[41,67,111],"pursue":[42],"high":[43],"with":[45,116,129],"less":[46],"cost,":[48],"this":[49],"paper":[50],"introduces":[51],"an":[52,130],"intermediate":[53],"partially-supervised":[54],"setting,":[55],"i.e.,":[56,127],"only":[57],"short-clip":[58],"or":[59],"even":[60],"single-frame":[61],"are":[63],"available":[64],"during":[65],"training.":[66],"take":[68],"full":[69],"advantage":[70],"of":[71,158],"partial":[72,144,159],"labels,":[73],"we":[74,120],"propose":[75],"a":[76,123],"novel":[77],"quadruple":[78],"constraint":[79],"pipeline":[80],"comprehensively":[82],"shape":[83],"event-query":[84,109],"aligned":[85],"representations,":[86],"covering":[87],"intra-":[88],"and":[89,92,99,108,140,148,152,161],"inter-samples,":[90],"uni-":[91],"multi-modalities.":[93],"former":[95],"raises":[96],"intra-cluster":[97],"compactness":[98],"inter-cluster":[100],"separability;":[101],"latter":[104],"enables":[105],"event-background":[106],"separation":[107],"gather.":[110],"achieve":[112],"more":[113],"powerful":[114],"explicit":[117],"optimization,":[119],"further":[121],"introduce":[122],"partial-full":[124],"union":[125],"framework,":[126],"bridging":[128],"additional":[131],"branch,":[133],"enjoy":[135],"its":[136],"impressive":[137],"bonus,":[139],"be":[141],"robust":[142],"annotations.":[145],"Extensive":[146],"experiments":[147],"ablations":[149],"on":[150],"Charades-STA":[151],"ActivityNet":[153],"Captions":[154],"demonstrate":[155],"significance":[157],"supervision":[160],"our":[162],"superior":[163],"performance.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
