{"id":"https://openalex.org/W3035049560","doi":"https://doi.org/10.24963/ijcai.2020/149","title":"Object-Aware Multi-Branch Relation Networks for Spatio-Temporal Video Grounding","display_name":"Object-Aware Multi-Branch Relation Networks for Spatio-Temporal Video Grounding","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3035049560","doi":"https://doi.org/10.24963/ijcai.2020/149","mag":"3035049560"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2020/149","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/149","pdf_url":"https://www.ijcai.org/proceedings/2020/0149.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2020/0149.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100382805","display_name":"Zhu Zhang","orcid":"https://orcid.org/0000-0003-4195-5770"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhu Zhang","raw_affiliation_strings":["College of Computer Science, Zhejiang University, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079260216","display_name":"Zhou Zhao","orcid":"https://orcid.org/0000-0001-6121-0384"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Zhao","raw_affiliation_strings":["College of Computer Science, Zhejiang University, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102913138","display_name":"Zhijie Lin","orcid":"https://orcid.org/0000-0003-3461-8952"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijie Lin","raw_affiliation_strings":["College of Computer Science, Zhejiang University, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020858666","display_name":"Baoxing Huai","orcid":"https://orcid.org/0000-0001-9625-2314"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoxing Huai","raw_affiliation_strings":["Huawei Cloud & AI, China"],"affiliations":[{"raw_affiliation_string":"Huawei Cloud & AI, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007552078","display_name":"Jing Yuan","orcid":"https://orcid.org/0000-0001-9178-3896"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Yuan","raw_affiliation_strings":["Huawei Cloud & AI, China"],"affiliations":[{"raw_affiliation_string":"Huawei Cloud & AI, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100382805"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":1.2766,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.82502162,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1069","last_page":"1075"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"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":1.0,"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":0.9987000226974487,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9771000146865845,"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/relation","display_name":"Relation (database)","score":0.850601851940155},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.8252867460250854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8141496181488037},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.703162431716919},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5903258323669434},{"id":"https://openalex.org/keywords/ground","display_name":"Ground","score":0.46627429127693176},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4505383372306824},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.268815279006958}],"concepts":[{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.850601851940155},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.8252867460250854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8141496181488037},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.703162431716919},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5903258323669434},{"id":"https://openalex.org/C168993435","wikidata":"https://www.wikidata.org/wiki/Q6501125","display_name":"Ground","level":2,"score":0.46627429127693176},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4505383372306824},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.268815279006958},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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":1,"locations":[{"id":"doi:10.24963/ijcai.2020/149","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/149","pdf_url":"https://www.ijcai.org/proceedings/2020/0149.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2020/149","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/149","pdf_url":"https://www.ijcai.org/proceedings/2020/0149.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5069775644","display_name":null,"funder_award_id":"6175120","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5526867466","display_name":null,"funder_award_id":"U1611461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6058138561","display_name":null,"funder_award_id":", No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6605900608","display_name":null,"funder_award_id":"61751209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6697896495","display_name":null,"funder_award_id":"No.U1611461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7528510259","display_name":null,"funder_award_id":"61836002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8208342437","display_name":null,"funder_award_id":"1 and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8365256475","display_name":null,"funder_award_id":"LR19F020006","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G8863666567","display_name":null,"funder_award_id":"and No.","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/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3035049560.pdf","grobid_xml":"https://content.openalex.org/works/W3035049560.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2247513039","https://openalex.org/W2505639562","https://openalex.org/W2558535589","https://openalex.org/W2611788449","https://openalex.org/W2611952496","https://openalex.org/W2742343242","https://openalex.org/W2770129969","https://openalex.org/W2784458614","https://openalex.org/W2798708692","https://openalex.org/W2799263800","https://openalex.org/W2803088946","https://openalex.org/W2903901502","https://openalex.org/W2935563816","https://openalex.org/W2948958195","https://openalex.org/W2951323451","https://openalex.org/W2960655175","https://openalex.org/W2962869524","https://openalex.org/W2963017553","https://openalex.org/W2963521717","https://openalex.org/W2963735856","https://openalex.org/W2963843782","https://openalex.org/W2964089981","https://openalex.org/W2964284374","https://openalex.org/W2964345792","https://openalex.org/W2966098360","https://openalex.org/W2970898753","https://openalex.org/W2979933490","https://openalex.org/W2982651953","https://openalex.org/W2986755220","https://openalex.org/W2997429269","https://openalex.org/W2998355566","https://openalex.org/W2998841681","https://openalex.org/W3002007234","https://openalex.org/W3035590142","https://openalex.org/W3098232790","https://openalex.org/W6791858558","https://openalex.org/W6863994431"],"related_works":["https://openalex.org/W2362939901","https://openalex.org/W2045408812","https://openalex.org/W2734554632","https://openalex.org/W2379200451","https://openalex.org/W2356257939","https://openalex.org/W4254623023","https://openalex.org/W2732813147","https://openalex.org/W2888033806","https://openalex.org/W2143460112","https://openalex.org/W2042906257"],"abstract_inverted_index":{"Spatio-temporal":[0],"video":[1,35],"grounding":[2,21,36],"aims":[3],"to":[4,14,25,47,52,92,115,133,140],"retrieve":[5],"the":[6,15,54,107,121,152],"spatio-temporal":[7,34],"tube":[8],"of":[9,154],"a":[10,76,102,130],"queried":[11,55],"object":[12,50,104,118,143],"according":[13],"given":[16],"sentence.":[17,108],"Currently,":[18],"most":[19],"existing":[20,58],"methods":[22],"are":[23],"restricted":[24],"well-aligned":[26],"segment-sentence":[27],"pairs.":[28],"In":[29],"this":[30],"paper,":[31],"we":[32,74,87,128],"explore":[33],"on":[37,101],"unaligned":[38],"data":[39],"and":[40,64,124,144],"multi-form":[41],"sentences.":[42],"This":[43],"challenging":[44],"task":[45],"requires":[46],"capture":[48,116],"critical":[49,117],"relations":[51],"identify":[53],"target.":[56],"However,":[57],"approaches":[59],"cannot":[60],"distinguish":[61],"notable":[62],"objects":[63],"remain":[65],"in":[66,106],"ineffective":[67],"relation":[68,80,84,113],"modeling":[69],"between":[70,120],"unnecessary":[71],"objects.":[72],"Thus,":[73],"propose":[75,111],"novel":[77],"object-aware":[78,83,94],"multi-branch":[79,112,146],"network":[81],"for":[82],"discovery.":[85],"Concretely,":[86],"first":[88],"devise":[89],"multiple":[90],"branches":[91],"develop":[93],"region":[95],"modeling,":[96],"where":[97],"each":[98,135],"branch":[99,123,136],"focuses":[100],"crucial":[103],"mentioned":[105],"We":[109],"then":[110],"reasoning":[114],"relationships":[119],"main":[122],"auxiliary":[125],"branches.":[126],"Moreover,":[127],"apply":[129],"diversity":[131],"loss":[132],"make":[134],"only":[137],"pay":[138],"attention":[139],"its":[141],"corresponding":[142],"boost":[145],"learning.":[147],"The":[148],"extensive":[149],"experiments":[150],"show":[151],"effectiveness":[153],"our":[155],"proposed":[156],"method.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
