{"id":"https://openalex.org/W4391489071","doi":"https://doi.org/10.1145/3603273.3635669","title":"Transformer-based Deep Embedding Network for Scene Graph Generation","display_name":"Transformer-based Deep Embedding Network for Scene Graph Generation","publication_year":2023,"publication_date":"2023-11-18","ids":{"openalex":"https://openalex.org/W4391489071","doi":"https://doi.org/10.1145/3603273.3635669"},"language":"en","primary_location":{"id":"doi:10.1145/3603273.3635669","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3603273.3635669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Advances in Artificial Intelligence and Applications","raw_type":"proceedings-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/A5101512008","display_name":"Bo Lu","orcid":"https://orcid.org/0000-0002-4879-1388"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]},{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Lu","raw_affiliation_strings":["School of Computer Science and Engineering, Dalian Minzu University, China"],"raw_orcid":"https://orcid.org/0000-0002-4879-1388","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Dalian Minzu University, China","institution_ids":["https://openalex.org/I145897649","https://openalex.org/I61565387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073355925","display_name":"Tao Yang","orcid":"https://orcid.org/0009-0008-6645-0609"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]},{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Yang","raw_affiliation_strings":["School of Computer Science and Engineering, Dalian Minzu University, China"],"raw_orcid":"https://orcid.org/0009-0008-6645-0609","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Dalian Minzu University, China","institution_ids":["https://openalex.org/I145897649","https://openalex.org/I61565387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113111311","display_name":"Huanle Lu","orcid":"https://orcid.org/0009-0002-6955-7336"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]},{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanle Lu","raw_affiliation_strings":["School of Computer Science and Engineering, Dalian Minzu University, China"],"raw_orcid":"https://orcid.org/0009-0002-6955-7336","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Dalian Minzu University, China","institution_ids":["https://openalex.org/I145897649","https://openalex.org/I61565387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051086611","display_name":"Zunwen Chen","orcid":"https://orcid.org/0009-0006-2924-8781"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]},{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zunwen Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Dalian Minzu University, China"],"raw_orcid":"https://orcid.org/0009-0006-2924-8781","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Dalian Minzu University, China","institution_ids":["https://openalex.org/I145897649","https://openalex.org/I61565387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101944883","display_name":"Xiaodong Duan","orcid":"https://orcid.org/0009-0001-1775-6280"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]},{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Duan","raw_affiliation_strings":["School of Computer Science and Engineering, Dalian Minzu University, China"],"raw_orcid":"https://orcid.org/0009-0001-1775-6280","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Dalian Minzu University, China","institution_ids":["https://openalex.org/I145897649","https://openalex.org/I61565387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101512008"],"corresponding_institution_ids":["https://openalex.org/I145897649","https://openalex.org/I61565387"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19226854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"233","last_page":"237"},"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":0.9966999888420105,"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":0.991599977016449,"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":0.7727862596511841},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6942945718765259},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5586665272712708},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5564836263656616},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5401657223701477},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5292491316795349},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5060734152793884},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48095598816871643},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44089967012405396},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.28173649311065674},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18873077630996704},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.08092406392097473}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7727862596511841},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6942945718765259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5586665272712708},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5564836263656616},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5401657223701477},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5292491316795349},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5060734152793884},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48095598816871643},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44089967012405396},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28173649311065674},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18873077630996704},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.08092406392097473},{"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:10.1145/3603273.3635669","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3603273.3635669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Advances in Artificial Intelligence and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2077069816","https://openalex.org/W2277195237","https://openalex.org/W2579549467","https://openalex.org/W2886970679","https://openalex.org/W2963536419","https://openalex.org/W2963649796","https://openalex.org/W3034538190","https://openalex.org/W3096609285","https://openalex.org/W3109229205","https://openalex.org/W3152893301","https://openalex.org/W3173181410","https://openalex.org/W3181556077","https://openalex.org/W3195421894","https://openalex.org/W6800553681"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W4293226380","https://openalex.org/W3203142394","https://openalex.org/W2161474341","https://openalex.org/W4302615923","https://openalex.org/W1974101135","https://openalex.org/W2351061015","https://openalex.org/W2017509870","https://openalex.org/W2183306018","https://openalex.org/W4220731478"],"abstract_inverted_index":{"Due":[0],"to":[1,15,98,109,126],"the":[2,7,17,38,74,78,93,99,111,127,142,146,149],"complexity":[3,58],"and":[4,91,104,106,131,141],"variability":[5],"of":[6,37],"relationships":[8,18],"between":[9,19],"objects,":[10],"it":[11,134],"becomes":[12],"very":[13],"difficult":[14],"detect":[16],"them.":[20],"Scene":[21],"graph":[22,41],"generation":[23,42,70],"(SGG)":[24],"has":[25],"been":[26],"receiving":[27],"attention":[28],"as":[29],"a":[30,68,123],"challenging":[31],"task":[32],"in":[33,116,120],"computer":[34],"vision.":[35],"Most":[36],"existing":[39],"scene":[40,112],"methods":[43,52],"use":[44],"two-stage":[45],"or":[46,59],"point-based":[47],"single-stage":[48,69],"methods,":[49],"but":[50],"these":[51],"usually":[53],"suffer":[54],"from":[55],"excessive":[56],"time":[57],"poor":[60],"design":[61],"assumptions.":[62],"In":[63,76],"this":[64,117],"paper,":[65],"we":[66],"adopt":[67],"method":[71,147],"inspired":[72],"by":[73],"transformer.":[75],"this,":[77],"main":[79],"body":[80],"still":[81],"uses":[82],"Convolutional":[83],"Neural":[84],"Network":[85],"(CNN)":[86],"for":[87,102],"image":[88],"feature":[89],"extraction,":[90],"then":[92,107],"extracted":[94],"features":[95],"are":[96],"given":[97],"transformer":[100,129],"decoder":[101],"encoding":[103],"decoding,":[105],"processed":[108],"obtain":[110],"graph.":[113],"The":[114],"work":[115],"paper":[118],"lies":[119],"1)":[121],"adding":[122],"predicate":[124],"generator":[125],"traditional":[128],"decoder,":[130],"2)":[132],"evaluating":[133],"on":[135],"some":[136],"improved":[137],"visual":[138],"genome-based":[139],"datasets,":[140],"results":[143],"show":[144],"that":[145],"improves":[148],"SGG's":[150],"relationship":[151],"recognition":[152],"ability.":[153]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
