{"id":"https://openalex.org/W3171522711","doi":"https://doi.org/10.1109/icme51207.2021.9428472","title":"Relationship-Aware Primal-Dual Graph Attention Network For Scene Graph Generation","display_name":"Relationship-Aware Primal-Dual Graph Attention Network For Scene Graph Generation","publication_year":2021,"publication_date":"2021-06-09","ids":{"openalex":"https://openalex.org/W3171522711","doi":"https://doi.org/10.1109/icme51207.2021.9428472","mag":"3171522711"},"language":"en","primary_location":{"id":"doi:10.1109/icme51207.2021.9428472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428472","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","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/A5022574607","display_name":"Hao Zhou","orcid":"https://orcid.org/0000-0002-0173-0393"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Zhou","raw_affiliation_strings":["National University of Defense Technology,Science and Technology on Information Systems Engineering Laboratory,Changsha,China","Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,Science and Technology on Information Systems Engineering Laboratory,Changsha,China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074096377","display_name":"Tingjin Luo","orcid":"https://orcid.org/0000-0002-8171-3971"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingjin Luo","raw_affiliation_strings":["National University of Defense Technology,College of Liberal Arts and Science,Changsha,China","College of Liberal Arts and Science, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Liberal Arts and Science,Changsha,China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"College of Liberal Arts and Science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101748855","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0001-9045-4847"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["National University of Defense Technology,Science and Technology on Information Systems Engineering Laboratory,Changsha,China","Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,Science and Technology on Information Systems Engineering Laboratory,Changsha,China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084801659","display_name":"Jun Lei","orcid":"https://orcid.org/0000-0002-4015-8668"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Lei","raw_affiliation_strings":["National University of Defense Technology,Science and Technology on Information Systems Engineering Laboratory,Changsha,China","Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,Science and Technology on Information Systems Engineering Laboratory,Changsha,China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100386630","display_name":"Shuo Li","orcid":"https://orcid.org/0000-0002-5184-3230"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuohao Li","raw_affiliation_strings":["National University of Defense Technology,Science and Technology on Information Systems Engineering Laboratory,Changsha,China","Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,Science and Technology on Information Systems Engineering Laboratory,Changsha,China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5022574607"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.0961,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.36990196,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9987000226974487,"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":0.9955000281333923,"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":0.7601693868637085},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6803866624832153},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5703425407409668},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5278266072273254},{"id":"https://openalex.org/keywords/dual-graph","display_name":"Dual graph","score":0.5224177837371826},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4920887351036072},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.46276798844337463},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4535232484340668},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45061931014060974},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.42556071281433105},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38267773389816284},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33484768867492676},{"id":"https://openalex.org/keywords/planar-graph","display_name":"Planar graph","score":0.12307378649711609}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7601693868637085},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6803866624832153},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5703425407409668},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5278266072273254},{"id":"https://openalex.org/C169827030","wikidata":"https://www.wikidata.org/wiki/Q2294516","display_name":"Dual graph","level":4,"score":0.5224177837371826},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4920887351036072},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.46276798844337463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4535232484340668},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45061931014060974},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.42556071281433105},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38267773389816284},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33484768867492676},{"id":"https://openalex.org/C101837359","wikidata":"https://www.wikidata.org/wiki/Q547823","display_name":"Planar graph","level":3,"score":0.12307378649711609},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme51207.2021.9428472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428472","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":29,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1662382123","https://openalex.org/W2077069816","https://openalex.org/W2277195237","https://openalex.org/W2479423890","https://openalex.org/W2579549467","https://openalex.org/W2607855566","https://openalex.org/W2629538667","https://openalex.org/W2810482788","https://openalex.org/W2886970679","https://openalex.org/W2887272576","https://openalex.org/W2947385066","https://openalex.org/W2962785943","https://openalex.org/W2963518342","https://openalex.org/W2963536419","https://openalex.org/W2963649796","https://openalex.org/W2963938081","https://openalex.org/W2964015378","https://openalex.org/W3034538190","https://openalex.org/W4295750171","https://openalex.org/W4297733535","https://openalex.org/W6620707391","https://openalex.org/W6637178625","https://openalex.org/W6721769334","https://openalex.org/W6726873649","https://openalex.org/W6739930931","https://openalex.org/W6753998590","https://openalex.org/W6754554023","https://openalex.org/W6763119976"],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W2317351040","https://openalex.org/W4321636575","https://openalex.org/W1986418932","https://openalex.org/W2357796999","https://openalex.org/W2952466936","https://openalex.org/W4212786251","https://openalex.org/W2516172929","https://openalex.org/W2057144288","https://openalex.org/W2963937989"],"abstract_inverted_index":{"The":[0],"relationships":[1,70,120],"and":[2,53,68,80,98,114,119,126],"interactions":[3],"between":[4,71,124],"objects":[5,52,72,118],"contain":[6],"rich":[7],"semantic":[8,49],"information,":[9],"which":[10],"plays":[11],"a":[12,37,88],"crucial":[13],"role":[14],"in":[15],"scene":[16,60],"understanding.":[17],"Existing":[18],"methods":[19,142],"do":[20],"not":[21],"attach":[22],"great":[23],"importance":[24],"to":[25,45,94],"the":[26,47,55,65,69,96,111,122,133,144],"expression":[27],"of":[28,51,136],"relational":[29],"features.":[30,82],"To":[31],"tackle":[32],"this":[33],"problem,":[34],"we":[35,86],"propose":[36],"novel":[38],"Relationship-aware":[39],"Primal-Dual":[40],"Graph":[41],"Attention":[42],"Network":[43],"(RPDGAT)":[44],"extract":[46],"comprehensive":[48],"features":[50],"explore":[54],"sparse":[56,99],"graph":[57,61,100],"inference":[58],"for":[59,102,117],"generation.":[62],"RPDGAT":[63],"mines":[64],"inherent":[66],"attributes":[67],"by":[73],"fusing":[74],"multiple":[75],"features,":[76],"e.g.":[77],"appearance,":[78],"spatial,":[79],"category":[81],"After":[83],"feature":[84],"extraction,":[85],"design":[87],"trainable":[89],"relationship":[90],"distance":[91],"measure":[92],"network":[93],"construct":[95],"robust":[97],"structure":[101],"efficient":[103],"graphical":[104],"message":[105],"passing.":[106],"Moreover,":[107],"it":[108],"can":[109],"preserve":[110],"contextual":[112],"cues":[113],"neighboring":[115],"dependency":[116],"from":[121],"interaction":[123],"primal":[125],"dual":[127],"graphs.":[128],"Extensive":[129],"experimental":[130],"results":[131],"present":[132],"improved":[134],"performance":[135],"our":[137],"method":[138],"over":[139],"several":[140],"state-of-the-art":[141],"on":[143],"visual":[145],"genome":[146],"datasets.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
