{"id":"https://openalex.org/W2965848243","doi":"https://doi.org/10.24963/ijcai.2019/526","title":"Position Focused Attention Network for Image-Text Matching","display_name":"Position Focused Attention Network for Image-Text Matching","publication_year":2019,"publication_date":"2019-07-28","ids":{"openalex":"https://openalex.org/W2965848243","doi":"https://doi.org/10.24963/ijcai.2019/526","mag":"2965848243"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2019/526","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/526","pdf_url":"https://www.ijcai.org/proceedings/2019/0526.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/2019/0526.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101651167","display_name":"Yaxiong Wang","orcid":"https://orcid.org/0000-0001-6596-8117"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaxiong Wang","raw_affiliation_strings":["Department of PCG, Tencent","School of Software Engineering, Xi'an Jiaotong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of PCG, Tencent","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101861496","display_name":"Hao Yang","orcid":"https://orcid.org/0000-0002-8112-0869"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Yang","raw_affiliation_strings":["Department of PCG, Tencent"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of PCG, Tencent","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014825654","display_name":"Xueming Qian","orcid":"https://orcid.org/0000-0002-3173-6307"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xueming Qian","raw_affiliation_strings":["School of Software Engineering, Xi'an Jiaotong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017116858","display_name":"Lin Ma","orcid":"https://orcid.org/0000-0002-7331-6132"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Ma","raw_affiliation_strings":["Tencent AI Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent AI Lab","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060160101","display_name":"Jing L\u00fc","orcid":"https://orcid.org/0000-0003-4514-0544"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Lu","raw_affiliation_strings":["Department of PCG, Tencent"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of PCG, Tencent","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100334873","display_name":"Biao Li","orcid":"https://orcid.org/0000-0002-8952-1990"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biao Li","raw_affiliation_strings":["Department of PCG, Tencent"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of PCG, Tencent","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009231128","display_name":"Xin Fan","orcid":"https://orcid.org/0000-0002-7092-0270"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Fan","raw_affiliation_strings":["Department of PCG, Tencent"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of PCG, Tencent","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014825654"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":9.4246,"has_fulltext":true,"cited_by_count":198,"citation_normalized_percentile":{"value":0.98114819,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3792","last_page":"3798"},"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/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/T11439","display_name":"Video Analysis and Summarization","score":0.9930999875068665,"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":0.8421002626419067},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6245131492614746},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5769830942153931},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5745090246200562},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5625543594360352},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.528401255607605},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5231667160987854},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5183078646659851},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.51473069190979},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5071313381195068},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4980127811431885},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.47577086091041565},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.44801706075668335},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.43971797823905945},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.40375417470932007},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3985442817211151},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2444515824317932}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8421002626419067},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6245131492614746},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5769830942153931},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5745090246200562},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5625543594360352},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.528401255607605},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5231667160987854},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5183078646659851},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.51473069190979},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5071313381195068},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4980127811431885},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.47577086091041565},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.44801706075668335},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43971797823905945},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.40375417470932007},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3985442817211151},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2444515824317932},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2019/526","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/526","pdf_url":"https://www.ijcai.org/proceedings/2019/0526.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.2019/526","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/526","pdf_url":"https://www.ijcai.org/proceedings/2019/0526.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":0.8299999833106995,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G3308505718","display_name":null,"funder_award_id":"61732008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7987947441","display_name":"\u57fa\u4e8e\u5bf9\u8c61\u7684\u76d1\u63a7\u89c6\u9891\u68c0\u7d22\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61772407","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1514535095","https://openalex.org/W1522301498","https://openalex.org/W1527575280","https://openalex.org/W1905882502","https://openalex.org/W1916445035","https://openalex.org/W1931795219","https://openalex.org/W1949478088","https://openalex.org/W2171810632","https://openalex.org/W2179022885","https://openalex.org/W2194775991","https://openalex.org/W2463955103","https://openalex.org/W2481240925","https://openalex.org/W2532034655","https://openalex.org/W2546696630","https://openalex.org/W2559542432","https://openalex.org/W2605146283","https://openalex.org/W2606473278","https://openalex.org/W2609731892","https://openalex.org/W2623201052","https://openalex.org/W2770325561","https://openalex.org/W2770717329","https://openalex.org/W2772385709","https://openalex.org/W2774267535","https://openalex.org/W2778940641","https://openalex.org/W2793424345","https://openalex.org/W2796093898","https://openalex.org/W2883311563","https://openalex.org/W2894786240","https://openalex.org/W2896798564","https://openalex.org/W2911695497","https://openalex.org/W2949197413","https://openalex.org/W2962964995","https://openalex.org/W2963040148","https://openalex.org/W2963191264","https://openalex.org/W2963467339","https://openalex.org/W2963735856","https://openalex.org/W2963783181","https://openalex.org/W2963954913","https://openalex.org/W2964120214","https://openalex.org/W4297813007","https://openalex.org/W4376601193","https://openalex.org/W6752333115","https://openalex.org/W6755811877","https://openalex.org/W6790825729","https://openalex.org/W6791858558","https://openalex.org/W6864014924","https://openalex.org/W6868564194"],"related_works":["https://openalex.org/W2359593496","https://openalex.org/W4383678258","https://openalex.org/W1980418511","https://openalex.org/W2546942002","https://openalex.org/W2065986655","https://openalex.org/W2970216048","https://openalex.org/W2786306966","https://openalex.org/W2382607599","https://openalex.org/W2728071886","https://openalex.org/W2015538044"],"abstract_inverted_index":{"Image-text":[0],"matching":[1],"tasks":[2],"have":[3],"recently":[4],"attracted":[5],"a":[6,38,49,135],"lot":[7],"of":[8,18,41,96,158,183,213],"attention":[9,53,103],"in":[10,98],"the":[11,27,30,33,58,61,64,72,78,85,93,99,109,112,119,130,140,144,149,156,159,163,179,193,198,201,208],"computer":[12],"vision":[13],"field.":[14],"The":[15],"key":[16],"point":[17],"this":[19,45,68,191],"cross-domain":[20],"problem":[21],"is":[22,105,192],"how":[23],"to":[24,56,76,107,128,177,196],"accurately":[25],"measure":[26],"similarity":[28],"between":[29,60,111,139],"visual":[31,62,141],"and":[32,63,115,117,133,143,153],"textual":[34,65,145],"contents,":[35],"which":[36,90,123],"demands":[37],"fine":[39],"understanding":[40],"both":[42],"modalities.":[43],"In":[44,67],"paper,":[46],"we":[47,70,91,166,189],"propose":[48],"novel":[50],"position":[51,74,95,121],"focused":[52],"network":[54],"(PFAN)":[55],"investigate":[57],"relation":[59],"views.":[66],"work,":[69],"integrate":[71],"object":[73],"clue":[75],"enhance":[77,129],"visual-text":[79],"joint-embedding":[80],"learning.":[81],"We":[82],"first":[83,194],"split":[84],"images":[86],"into":[87],"blocks,":[88],"by":[89],"infer":[92],"relative":[94],"region":[97,114,131],"image.":[100],"Then,":[101],"an":[102],"mechanism":[104],"proposed":[106,160,184],"model":[108,134],"relations":[110],"image":[113,142],"blocks":[116],"generate":[118],"valuable":[120],"feature,":[122],"will":[124],"be":[125],"further":[126],"utilized":[127],"expression":[132],"more":[136],"reliable":[137],"relationship":[138],"sentence.":[146],"Experiments":[147],"on":[148,170,200,211],"popular":[150],"datasets":[151],"Flickr30K":[152],"MS-COCO":[154],"show":[155],"effectiveness":[157],"method.":[161,185],"Besides":[162],"public":[164],"datasets,":[165],"also":[167],"conduct":[168],"experiments":[169],"our":[171],"collected":[172],"practical":[173,180,202],"news":[174],"dataset":[175],"(Tencent-News)":[176],"validate":[178],"application":[181],"value":[182],"As":[186],"far":[187],"as":[188],"know,":[190],"attempt":[195],"test":[197],"performance":[199,210],"application.":[203],"Our":[204],"method":[205],"can":[206],"achieve":[207],"state-of-art":[209],"all":[212],"these":[214],"three":[215],"datasets.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":49},{"year":2022,"cited_by_count":40},{"year":2021,"cited_by_count":41},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
