{"id":"https://openalex.org/W2929255686","doi":"https://doi.org/10.1109/tcsvt.2019.2907400","title":"Reinforced Cross-Media Correlation Learning by Context-Aware Bidirectional Translation","display_name":"Reinforced Cross-Media Correlation Learning by Context-Aware Bidirectional Translation","publication_year":2019,"publication_date":"2019-03-25","ids":{"openalex":"https://openalex.org/W2929255686","doi":"https://doi.org/10.1109/tcsvt.2019.2907400","mag":"2929255686"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2019.2907400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2019.2907400","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5047811387","display_name":"Yuxin Peng","orcid":"https://orcid.org/0000-0001-7658-3845"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuxin Peng","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026142528","display_name":"Jinwei Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinwei Qi","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5047811387"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":1.7208,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.87713245,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"30","issue":"6","first_page":"1718","last_page":"1731"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9995999932289124,"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":0.9995999932289124,"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":0.996399998664856,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.989799976348877,"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":0.7862885594367981},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.62120121717453},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5947443246841431},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5727533102035522},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.572101891040802},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.5700494647026062},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5260189175605774},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4844515323638916},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.44506406784057617},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.44080328941345215},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43188416957855225},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11924958229064941},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07097044587135315}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7862885594367981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.62120121717453},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5947443246841431},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5727533102035522},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.572101891040802},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5700494647026062},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5260189175605774},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4844515323638916},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.44506406784057617},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.44080328941345215},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43188416957855225},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11924958229064941},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07097044587135315},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2019.2907400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2019.2907400","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G7072385062","display_name":null,"funder_award_id":"61532005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8355516938","display_name":null,"funder_award_id":"61771025","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":65,"referenced_works":["https://openalex.org/W1523385540","https://openalex.org/W1686810756","https://openalex.org/W1757796397","https://openalex.org/W1832693441","https://openalex.org/W1922658220","https://openalex.org/W1930223417","https://openalex.org/W1949478088","https://openalex.org/W1964073652","https://openalex.org/W2013535308","https://openalex.org/W2015394094","https://openalex.org/W2022398331","https://openalex.org/W2025341678","https://openalex.org/W2053667957","https://openalex.org/W2070753207","https://openalex.org/W2100235303","https://openalex.org/W2106277773","https://openalex.org/W2119775030","https://openalex.org/W2124065797","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2145339207","https://openalex.org/W2153653739","https://openalex.org/W2155027007","https://openalex.org/W2157331557","https://openalex.org/W2164587673","https://openalex.org/W2179488730","https://openalex.org/W2184188583","https://openalex.org/W2194775991","https://openalex.org/W2210322478","https://openalex.org/W2211092169","https://openalex.org/W2251084241","https://openalex.org/W2295088417","https://openalex.org/W2326180695","https://openalex.org/W2546938941","https://openalex.org/W2557865186","https://openalex.org/W2574447816","https://openalex.org/W2589728353","https://openalex.org/W2605649771","https://openalex.org/W2606965845","https://openalex.org/W2607151106","https://openalex.org/W2765440071","https://openalex.org/W2808203533","https://openalex.org/W2887585070","https://openalex.org/W2962835968","https://openalex.org/W2963119563","https://openalex.org/W2963526065","https://openalex.org/W2964081303","https://openalex.org/W2964216321","https://openalex.org/W2964308564","https://openalex.org/W3105136412","https://openalex.org/W4241645538","https://openalex.org/W4251308012","https://openalex.org/W4298857966","https://openalex.org/W6606244218","https://openalex.org/W6631216910","https://openalex.org/W6637373629","https://openalex.org/W6679434410","https://openalex.org/W6679436768","https://openalex.org/W6683204974","https://openalex.org/W6686207219","https://openalex.org/W6691949504","https://openalex.org/W6697562861","https://openalex.org/W6729383884","https://openalex.org/W6730042849","https://openalex.org/W6732292492"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2364594919","https://openalex.org/W1861706286","https://openalex.org/W2219338811","https://openalex.org/W2167092671","https://openalex.org/W2149583853","https://openalex.org/W2143002539","https://openalex.org/W2130386332","https://openalex.org/W1120847856","https://openalex.org/W2052624461"],"abstract_inverted_index":{"The":[0,28],"heterogeneity":[1],"gap":[2],"leads":[3],"to":[4,18,64,88,107,122,145,161,204,222,238,252,267,282],"inconsistent":[5],"distributions":[6],"and":[7,11,22,91,120,151,171,189,209,250,258,263],"representations":[8],"between":[9,26,69,118,149,165,248],"image":[10,90,98,119,188,249],"text,":[12],"which":[13,40,62,219],"rises":[14],"a":[15,37,66,102,138,240,246],"challenging":[16],"task":[17],"measure":[19],"their":[20],"similarities":[21],"construct":[23],"cross-media":[24,34,85,125,140,155,177,196,214,233,273,280,298],"correlation":[25,35,43,86,126,148,178,225],"them.":[27],"existing":[29],"works":[30],"mainly":[31],"model":[32,146],"the":[33,55,97,128,147,166,176,206,254,284],"in":[36,45,127,183],"common":[38,82],"subspace,":[39],"causes":[41],"insufficient":[42],"modeling":[44],"such":[46],"third-party":[47],"subspace":[48],"with":[49,84,199,213,292],"intermediate":[50],"unidirectional":[51],"transformation.":[52],"Inspired":[53],"by":[54],"recent":[56],"advances":[57],"of":[58,105,131,169,187,286],"neural":[59,217],"machine":[60],"translation,":[61],"aims":[63],"establish":[65],"corresponding":[67],"relationship":[68],"two":[70],"entirely":[71],"different":[72],"languages,":[73],"we":[74,136,259],"can":[75,115,179,220],"naturally":[76],"discover":[77],"that":[78,112],"it":[79],"has":[80],"striking":[81],"characteristic":[83],"learning":[87,226,235,272],"consider":[89],"text":[92,121,190,251],"as":[93,101,245],"bilingual":[94,167],"pairs,":[95],"where":[96,175],"is":[99,159,202,236],"treated":[100],"special":[103],"kind":[104],"language":[106],"provide":[108,268],"visual":[109,150,170],"description,":[110],"so":[111],"bidirectional":[113,141,156,192,229,255],"transformation":[114,164],"be":[116,180],"conducted":[117,278],"effectively":[123,181],"explore":[124],"feature":[129,185],"space":[130],"each":[132],"media":[133],"type.":[134],"Thus,":[135],"propose":[137],"reinforced":[139],"translation":[142,157,193,230,256],"(RCBT)":[143],"approach":[144],"textual":[152,172],"descriptions.":[153],"First,":[154],"mechanism":[158],"proposed":[160,203,237,288],"conduct":[162],"direct":[163],"pairs":[168],"descriptions":[173],"bidirectionally,":[174],"captured":[182],"both":[184],"spaces":[186],"through":[191],"training.":[194],"Second,":[195],"context-aware":[197],"network":[198],"residual":[200],"attention":[201],"exploit":[205],"rich":[207],"spatial":[208],"temporal":[210],"context":[211],"hints":[212],"convolutional":[215],"recurrent":[216],"network,":[218],"lead":[221],"more":[223],"precise":[224],"for":[227,271],"promoting":[228],"process.":[231],"Third,":[232],"reinforcement":[234],"perform":[239],"two-agent":[241],"communication":[242],"game":[243],"played":[244],"round":[247],"boost":[253],"process,":[257],"further":[260],"extract":[261],"inter-media":[262],"intra-media":[264],"reward":[265],"signals":[266],"complementary":[269],"clues":[270],"correlation.":[274],"Extensive":[275],"experiments":[276],"are":[277],"on":[279,296],"retrieval":[281],"verify":[283],"effectiveness":[285],"our":[287],"RCBT":[289],"approach,":[290],"compared":[291],"11":[293],"state-of-the-art":[294],"methods":[295],"three":[297],"datasets.":[299]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
