{"id":"https://openalex.org/W2964727037","doi":"https://doi.org/10.24963/ijcai.2019/720","title":"Knowledge Aware Semantic Concept Expansion for Image-Text Matching","display_name":"Knowledge Aware Semantic Concept Expansion for Image-Text Matching","publication_year":2019,"publication_date":"2019-07-28","ids":{"openalex":"https://openalex.org/W2964727037","doi":"https://doi.org/10.24963/ijcai.2019/720","mag":"2964727037"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2019/720","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/720","pdf_url":"https://www.ijcai.org/proceedings/2019/0720.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2019/0720.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058342038","display_name":"Botian Shi","orcid":"https://orcid.org/0000-0003-3677-7252"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Botian Shi","raw_affiliation_strings":["Beijing Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100754485","display_name":"Lei Ji","orcid":"https://orcid.org/0000-0002-7569-3265"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Ji","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Science, Beijing, China","Natural Language Computing, Microsoft Research Asia, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Science, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Natural Language Computing, Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008156638","display_name":"Pan Lu","orcid":"https://orcid.org/0000-0002-1640-3598"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pan Lu","raw_affiliation_strings":["University of California, Los Angeles"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082774439","display_name":"Zhendong Niu","orcid":"https://orcid.org/0000-0002-0576-7572"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhendong Niu","raw_affiliation_strings":["Beijing Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042018181","display_name":"Nan Duan","orcid":"https://orcid.org/0000-0002-3387-4674"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Duan","raw_affiliation_strings":["Natural Language Computing, Microsoft Research Asia, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Natural Language Computing, Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":78,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5182","last_page":"5189"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994000196456909,"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/T10028","display_name":"Topic Modeling","score":0.9955999851226807,"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":0.7734997272491455},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5889671444892883},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5527146458625793},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5397158265113831},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4922544062137604},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.46903690695762634},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4460865557193756},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4357547163963318},{"id":"https://openalex.org/keywords/semantic-matching","display_name":"Semantic matching","score":0.4317285418510437},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4144606590270996},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.39873334765434265},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11335447430610657}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7734997272491455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5889671444892883},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5527146458625793},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5397158265113831},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4922544062137604},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.46903690695762634},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4460865557193756},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4357547163963318},{"id":"https://openalex.org/C2778493491","wikidata":"https://www.wikidata.org/wiki/Q7449072","display_name":"Semantic matching","level":3,"score":0.4317285418510437},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4144606590270996},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39873334765434265},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11335447430610657},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2019/720","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/720","pdf_url":"https://www.ijcai.org/proceedings/2019/0720.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2019/720","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/720","pdf_url":"https://www.ijcai.org/proceedings/2019/0720.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G4122877081","display_name":null,"funder_award_id":"No.2012CB7207002","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G467322759","display_name":null,"funder_award_id":"2012CB7207002","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4803633324","display_name":null,"funder_award_id":"No. 61370137","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G635447344","display_name":"\u9762\u5411Web\u4e3b\u89c2\u6027\u6587\u672c\u610f\u89c1\u6316\u6398\u7814\u7a76","funder_award_id":"61370137","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7286328465","display_name":null,"funder_award_id":"2016/2-7","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964727037.pdf","grobid_xml":"https://content.openalex.org/works/W2964727037.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1527575280","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W1905882502","https://openalex.org/W1972561424","https://openalex.org/W2064675550","https://openalex.org/W2108598243","https://openalex.org/W2123024445","https://openalex.org/W2176212817","https://openalex.org/W2185175083","https://openalex.org/W2277195237","https://openalex.org/W2287889828","https://openalex.org/W2346425926","https://openalex.org/W2430055109","https://openalex.org/W2606473278","https://openalex.org/W2738574128","https://openalex.org/W2760746198","https://openalex.org/W2765845685","https://openalex.org/W2768454054","https://openalex.org/W2770325561","https://openalex.org/W2772385709","https://openalex.org/W2774267535","https://openalex.org/W2807873315","https://openalex.org/W2882995289","https://openalex.org/W2962964995","https://openalex.org/W2963052338","https://openalex.org/W2963264012","https://openalex.org/W2963300078","https://openalex.org/W2963389687","https://openalex.org/W2963398599","https://openalex.org/W2963467339","https://openalex.org/W2964120214","https://openalex.org/W3099206234","https://openalex.org/W4239072543","https://openalex.org/W6676297131","https://openalex.org/W6704666547","https://openalex.org/W6847742374","https://openalex.org/W6863631769","https://openalex.org/W6864014924","https://openalex.org/W6868564194"],"related_works":["https://openalex.org/W2786306966","https://openalex.org/W2992349715","https://openalex.org/W4200347932","https://openalex.org/W2387683219","https://openalex.org/W2754693906","https://openalex.org/W2544384430","https://openalex.org/W2393064500","https://openalex.org/W4379525811","https://openalex.org/W3201762449","https://openalex.org/W2380556669"],"abstract_inverted_index":{"Image-text":[0],"matching":[1,158],"is":[2,26],"a":[3,52,91,114],"vital":[4],"cross-modality":[5],"task":[6],"in":[7,15,69],"artificial":[8],"intelligence":[9],"and":[10,32,41,63,75,101,132,166,169],"has":[11],"attracted":[12],"increasing":[13],"attention":[14],"recent":[16],"years.":[17],"Existing":[18],"works":[19],"have":[20],"shown":[21],"that":[22,171],"learning":[23,139],"semantic":[24,49,126],"concepts":[25,50,68,127],"useful":[27],"to":[28,59,81,117,121,140,154,178],"enhance":[29],"image":[30,98,151],"representation":[31],"can":[33,77],"significantly":[34],"improve":[35,122],"the":[36,70,136,150,157,179,183],"performance":[37],"of":[38,181],"both":[39],"image-to-text":[40],"text-to-image":[42],"retrieval.":[43],"However,":[44],"existing":[45],"models":[46],"simply":[47],"detect":[48],"from":[51,130],"given":[53],"image,":[54],"which":[55],"are":[56,128,162],"less":[57],"likely":[58],"deal":[60],"with":[61,149],"long-tail":[62],"occlusion":[64],"concepts.":[65,85],"Frequently":[66],"co-occurred":[67,104],"same":[71],"scene,":[72],"e.g.":[73],"bedroom":[74],"bed,":[76],"provide":[78],"common-sense":[79,109],"knowledge":[80,120],"discover":[82],"other":[83],"semantic-related":[84],"In":[86],"this":[87,119],"paper,":[88],"we":[89,112,145],"develop":[90],"Scene":[92],"Concept":[93],"Graph":[94],"(SCG)":[95],"by":[96,135],"aggregating":[97],"scene":[99,108],"graphs":[100],"extracting":[102],"frequently":[103],"concept":[105],"pairs":[106],"as":[107],"knowledge.":[110],"Moreover,":[111],"propose":[113],"novel":[115],"model":[116,173],"incorporate":[118],"image-text":[123],"matching.":[124],"Specifically,":[125],"detected":[129],"images":[131],"then":[133],"expanded":[134],"SCG.":[137,185],"After":[138],"select":[141],"relevant":[142],"contextual":[143],"concepts,":[144],"fuse":[146],"their":[147],"representations":[148],"embedding":[152],"feature":[153],"feed":[155],"into":[156],"module.":[159],"Extensive":[160],"experiments":[161],"conducted":[163],"on":[164],"Flickr30K":[165],"MSCOCO":[167],"datasets,":[168],"prove":[170],"our":[172],"achieves":[174],"state-of-the-art":[175],"results":[176],"due":[177],"effectiveness":[180],"incorporating":[182],"external":[184]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}