{"id":"https://openalex.org/W4289639375","doi":"https://doi.org/10.1109/tip.2022.3191841","title":"HiSA: Hierarchically Semantic Associating for Video Temporal Grounding","display_name":"HiSA: Hierarchically Semantic Associating for Video Temporal Grounding","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4289639375","doi":"https://doi.org/10.1109/tip.2022.3191841","pmid":"https://pubmed.ncbi.nlm.nih.gov/35914041"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2022.3191841","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3191841","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5016155663","display_name":"Zhe Xu","orcid":"https://orcid.org/0000-0001-6898-3443"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhe Xu","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi’an, China","an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100392725","display_name":"Da Chen","orcid":"https://orcid.org/0000-0002-5062-0270"},"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":"Da Chen","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100649111","display_name":"Kun Wei","orcid":"https://orcid.org/0000-0001-7228-5322"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Wei","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi’an, China","an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015874725","display_name":"Cheng Deng","orcid":"https://orcid.org/0000-0003-2620-3247"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Deng","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi’an, China","an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100337747","display_name":"Hui Xue","orcid":"https://orcid.org/0000-0002-2093-2839"},"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":"Hui Xue","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5016155663"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":2.3452,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.89925182,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"31","issue":null,"first_page":"5178","last_page":"5188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9993000030517578,"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":0.9980999827384949,"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":0.7406208515167236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5695071220397949},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5264792442321777},{"id":"https://openalex.org/keywords/ground","display_name":"Ground","score":0.4286327362060547},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.32563090324401855},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10108068585395813}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7406208515167236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5695071220397949},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5264792442321777},{"id":"https://openalex.org/C168993435","wikidata":"https://www.wikidata.org/wiki/Q6501125","display_name":"Ground","level":2,"score":0.4286327362060547},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.32563090324401855},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10108068585395813},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2022.3191841","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3191841","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:35914041","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35914041","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1372603746","display_name":null,"funder_award_id":"62171343","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3509175749","display_name":null,"funder_award_id":"ZDRC2102","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5089867355","display_name":null,"funder_award_id":"62071361","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G986958842","display_name":null,"funder_award_id":"62132016","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":84,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1522734439","https://openalex.org/W1900913856","https://openalex.org/W1942126453","https://openalex.org/W1959608418","https://openalex.org/W1999536323","https://openalex.org/W2016053056","https://openalex.org/W2111078031","https://openalex.org/W2132708980","https://openalex.org/W2163922914","https://openalex.org/W2187089797","https://openalex.org/W2250539671","https://openalex.org/W2336403884","https://openalex.org/W2469228190","https://openalex.org/W2514167171","https://openalex.org/W2737047298","https://openalex.org/W2739107216","https://openalex.org/W2785519580","https://openalex.org/W2804867909","https://openalex.org/W2894280539","https://openalex.org/W2904824998","https://openalex.org/W2946169958","https://openalex.org/W2950534130","https://openalex.org/W2962681491","https://openalex.org/W2962869524","https://openalex.org/W2963095467","https://openalex.org/W2963226019","https://openalex.org/W2963393391","https://openalex.org/W2963521717","https://openalex.org/W2963524571","https://openalex.org/W2963705779","https://openalex.org/W2963890275","https://openalex.org/W2963916161","https://openalex.org/W2964089981","https://openalex.org/W2964214371","https://openalex.org/W2964232540","https://openalex.org/W2970898753","https://openalex.org/W2986407524","https://openalex.org/W2997429269","https://openalex.org/W2997762001","https://openalex.org/W2998712570","https://openalex.org/W3005680577","https://openalex.org/W3016858367","https://openalex.org/W3034603995","https://openalex.org/W3034636873","https://openalex.org/W3034743747","https://openalex.org/W3035339529","https://openalex.org/W3035524453","https://openalex.org/W3035640828","https://openalex.org/W3069380482","https://openalex.org/W3088744711","https://openalex.org/W3096935578","https://openalex.org/W3104591054","https://openalex.org/W3108655343","https://openalex.org/W3129089995","https://openalex.org/W3135773387","https://openalex.org/W3159890710","https://openalex.org/W3166542014","https://openalex.org/W3168640669","https://openalex.org/W3174490084","https://openalex.org/W3175580044","https://openalex.org/W3175906703","https://openalex.org/W3176140497","https://openalex.org/W4286951705","https://openalex.org/W4287812705","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6640963894","https://openalex.org/W6679027886","https://openalex.org/W6718140377","https://openalex.org/W6739901393","https://openalex.org/W6748223763","https://openalex.org/W6756663807","https://openalex.org/W6761268011","https://openalex.org/W6762207533","https://openalex.org/W6766978945","https://openalex.org/W6767457941","https://openalex.org/W6768853884","https://openalex.org/W6774314701","https://openalex.org/W6775869761","https://openalex.org/W6776700526","https://openalex.org/W6792405717","https://openalex.org/W6803023527","https://openalex.org/W6803673840"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Video":[0],"Temporal":[1],"Grounding":[2],"(VTG)":[3],"aims":[4,73],"to":[5,17,52,74,118,128],"locate":[6,129],"the":[7,25,33,55,77,90,108,120,125,130,145],"time":[8,131],"interval":[9],"in":[10,35,48],"a":[11,18,36,64],"video":[12,29,56,78,100],"that":[13,140],"is":[14,115,151],"semantically":[15],"relevant":[16],"language":[19,80],"query.":[20],"Existing":[21],"VTG":[22],"methods":[23],"interact":[24],"query":[26],"with":[27,79],"entangled":[28],"features":[30],"and":[31,42,57,81,93,106],"treat":[32],"instances":[34],"dataset":[37],"independently.":[38],"However,":[39],"intra-video":[40,109],"entanglement":[41],"inter-video":[43,121],"connection":[44],"are":[45,96],"rarely":[46],"considered":[47],"these":[49],"methods,":[50],"leading":[51],"mismatches":[53],"between":[54],"language.":[58],"To":[59],"this":[60],"end,":[61],"we":[62],"propose":[63],"novel":[65],"method,":[66],"dubbed":[67],"Hierarchically":[68],"Semantic":[69],"Associating":[70],"(HiSA),":[71],"which":[72,123],"precisely":[75],"align":[76],"obtain":[82],"discriminative":[83],"representation":[84],"for":[85],"further":[86],"location":[87],"regression.":[88],"Specifically,":[89],"action":[91],"factors":[92,95],"background":[94],"disentangled":[97],"from":[98],"adjacent":[99],"segments,":[101],"enforcing":[102],"precise":[103],"multimodal":[104,126],"interaction":[105],"alleviating":[107],"entanglement.":[110],"In":[111],"addition,":[112],"cross-guided":[113],"contrast":[114],"elaborately":[116],"framed":[117],"capture":[119],"connection,":[122],"benefits":[124],"understanding":[127],"interval.":[132],"Extensive":[133],"experiments":[134],"on":[135],"three":[136],"benchmark":[137],"datasets":[138],"demonstrate":[139],"our":[141],"approach":[142],"significantly":[143],"outperforms":[144],"state-of-the-art":[146],"methods.":[147],"The":[148],"project":[149],"page":[150],"available":[152],"at:":[153],"https://github.com/zhexu1997/HiSA.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}