{"id":"https://openalex.org/W2591644541","doi":"https://doi.org/10.1109/cvpr.2017.331","title":"Visual Translation Embedding Network for Visual Relation Detection","display_name":"Visual Translation Embedding Network for Visual Relation Detection","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2591644541","doi":"https://doi.org/10.1109/cvpr.2017.331","mag":"2591644541"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2017.331","doi":"https://doi.org/10.1109/cvpr.2017.331","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2017.331","pdf_url":null,"source":{"id":"https://openalex.org/S4210176548","display_name":"IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings","issn_l":"1063-6919","issn":["1063-6919","2332-564X","2575-7075"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1702.08319","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042324027","display_name":"Hanwang Zhang","orcid":"https://orcid.org/0000-0001-7374-8739","observed_orcids":["https://orcid.org/0000-0001-7374-8739"]},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanwang Zhang","raw_affiliation_strings":["Columbia University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029410100","display_name":"Zawlin Kyaw","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zawlin Kyaw","raw_affiliation_strings":["National University of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037340457","display_name":"Shih\u2010Fu Chang","orcid":"https://orcid.org/0000-0003-1444-1205","observed_orcids":["https://orcid.org/0000-0003-1444-1205"]},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shih-Fu Chang","raw_affiliation_strings":["Columbia University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089404640","display_name":"Tat\u2010Seng Chua","orcid":"https://orcid.org/0000-0001-6097-7807","observed_orcids":["https://orcid.org/0000-0001-6097-7807"]},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tat-Seng Chua","raw_affiliation_strings":["National University of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":20.7181,"has_fulltext":true,"cited_by_count":593,"citation_normalized_percentile":{"value":0.9937276,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3107","last_page":"3115"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9945999979972839,"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":0.9945999979972839,"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":0.0017999999690800905,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0017000000225380063,"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/knowledge-base-embedding","display_name":"knowledge base embedding","score":0.7329999804496765},{"id":"https://openalex.org/keywords/scene-understanding","display_name":"scene understanding","score":0.6370000243186951}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7666005492210388},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6793035864830017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6634843349456787},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.56124347448349},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5243754386901855},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.4845782518386841},{"id":"https://openalex.org/C27511587","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relation","level":2,"score":0.4628094732761383},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4540194272994995},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42018646001815796},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.41729724407196045},{"id":"https://openalex.org/C140146324","wikidata":"https://www.wikidata.org/wiki/Q1144319","display_name":"Predicate (mathematical logic)","level":2,"score":0.4153216481208801},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35780417919158936},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3267252445220947},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15814068913459778},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2017.331","doi":"https://doi.org/10.1109/cvpr.2017.331","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2017.331","pdf_url":null,"source":{"id":"https://openalex.org/S4210176548","display_name":"IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings","issn_l":"1063-6919","issn":["1063-6919","2332-564X","2575-7075"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1702.08319","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1702.08319","pdf_url":"https://arxiv.org/pdf/1702.08319","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.1702.08319","doi":"https://doi.org/10.48550/arxiv.1702.08319","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1702.08319","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1702.08319","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1702.08319","pdf_url":"https://arxiv.org/pdf/1702.08319","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2591644541.pdf","grobid_xml":"https://content.openalex.org/works/W2591644541.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W639708223","https://openalex.org/W1483870316","https://openalex.org/W1522301498","https://openalex.org/W1529533208","https://openalex.org/W1536680647","https://openalex.org/W1584193343","https://openalex.org/W1686810756","https://openalex.org/W1773149199","https://openalex.org/W1850742715","https://openalex.org/W1892016050","https://openalex.org/W1897761818","https://openalex.org/W1905533542","https://openalex.org/W1905882502","https://openalex.org/W1933349210","https://openalex.org/W2046589395","https://openalex.org/W2049705550","https://openalex.org/W2077069816","https://openalex.org/W2077116199","https://openalex.org/W2102605133","https://openalex.org/W2122528955","https://openalex.org/W2123024445","https://openalex.org/W2127795553","https://openalex.org/W2142037471","https://openalex.org/W2153579005","https://openalex.org/W2168356304","https://openalex.org/W2169393274","https://openalex.org/W2184957013","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2251287417","https://openalex.org/W2256357568","https://openalex.org/W2277195237","https://openalex.org/W2282219577","https://openalex.org/W2339712187","https://openalex.org/W2463955103","https://openalex.org/W2471094925","https://openalex.org/W2475168403","https://openalex.org/W2479423890","https://openalex.org/W2513221924","https://openalex.org/W2546529582","https://openalex.org/W2563399268","https://openalex.org/W2937970997","https://openalex.org/W2949650786","https://openalex.org/W2951005624","https://openalex.org/W2951548327","https://openalex.org/W2962741254","https://openalex.org/W2963650529","https://openalex.org/W2963758027","https://openalex.org/W2964121744","https://openalex.org/W2964303913","https://openalex.org/W3106250896","https://openalex.org/W6719092668"],"related_works":["https://openalex.org/W2808730398","https://openalex.org/W2947385066","https://openalex.org/W3083917901","https://openalex.org/W3093124244","https://openalex.org/W6997396860","https://openalex.org/W2998468986","https://openalex.org/W2912220568","https://openalex.org/W2970417738","https://openalex.org/W4403254546","https://openalex.org/W2479423890"],"abstract_inverted_index":{"Visual":[0,78,166,169],"relations,":[1],"such":[2],"as":[3,101],"person":[4],"ride":[5],"bike":[6,8],"and":[7,20,31,54,70,131,168],"next":[9],"to":[10,36,52,185],"car,":[11],"offer":[12],"a":[13,77,91,96,102,114,125,134,177],"comprehensive":[14],"scene":[15],"understanding":[16],"of":[17,41,67,141,156],"an":[18],"image,":[19],"have":[21],"already":[22],"shown":[23],"their":[24],"great":[25],"utility":[26],"in":[27,63,90,124,133],"connecting":[28],"computer":[29],"vision":[30],"natural":[32],"language.":[33],"However,":[34],"due":[35],"the":[37,60,139,146,154,186],"challenging":[38],"combinatorial":[39],"complexity":[40],"modeling":[42],"subject-predicate-object":[43],"relation":[44,85,93,97,149],"triplets,":[45],"very":[46],"little":[47],"work":[48],"has":[49],"been":[50],"done":[51],"localize":[53],"predict":[55],"visual":[56,84,179],"relations.":[57],"Inspired":[58],"by":[59],"recent":[61],"advances":[62],"relational":[64],"representation":[65],"learning":[66],"knowledge":[68,122],"bases":[69],"convolutional":[71],"object":[72],"detection":[73,150],"networks,":[74],"we":[75],"propose":[76,113],"Translation":[79],"Embedding":[80],"network":[81],"(VTransE)":[82],"for":[83],"detection.":[86],"VTransE":[87,144,157,175],"places":[88],"objects":[89],"low-dimensional":[92],"space":[94],"where":[95],"can":[98],"be":[99],"modeled":[100],"simple":[103],"vector":[104],"translation,":[105],"i.e.,":[106],"subject":[107],"+":[108],"predicate":[109],"\u2248":[110],"object.":[111],"We":[112,152],"novel":[115],"feature":[116],"extraction":[117],"layer":[118],"that":[119,128,172],"enables":[120],"object-relation":[121],"transfer":[123],"fully-convolutional":[126],"fashion":[127],"supports":[129],"training":[130],"inference":[132],"single":[135],"forward/backward":[136],"pass.":[137],"To":[138],"best":[140],"our":[142],"knowledge,":[143],"is":[145,176,182],"first":[147],"end-toend":[148],"network.":[151],"demonstrate":[153],"effectiveness":[155],"over":[158],"other":[159],"state-of-the-art":[160],"methods":[161],"on":[162],"two":[163],"large-scale":[164],"datasets:":[165],"Relationship":[167],"Genome.":[170],"Note":[171],"even":[173],"though":[174],"purely":[178],"model,":[180],"it":[181],"still":[183],"competitive":[184],"Lu's":[187],"multi-modal":[188],"model":[189],"with":[190],"language":[191],"priors":[192],"[27].":[193]},"counts_by_year":[{"year":2026,"cited_by_count":26},{"year":2025,"cited_by_count":37},{"year":2024,"cited_by_count":36},{"year":2023,"cited_by_count":68},{"year":2022,"cited_by_count":72},{"year":2021,"cited_by_count":86},{"year":2020,"cited_by_count":87},{"year":2019,"cited_by_count":98},{"year":2018,"cited_by_count":56},{"year":2017,"cited_by_count":27}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2017-03-16T00:00:00"}