{"id":"https://openalex.org/W3203485706","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534389","title":"Graph-based Visual Manipulation Relationship Reasoning in Object-Stacking Scenes","display_name":"Graph-based Visual Manipulation Relationship Reasoning in Object-Stacking Scenes","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3203485706","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534389","mag":"3203485706"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9534389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","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/A5017790030","display_name":"Guoyu Zuo","orcid":"https://orcid.org/0000-0002-7624-4728"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoyu Zuo","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038034323","display_name":"Jiayuan Tong","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayuan Tong","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101778434","display_name":"Hongxing Liu","orcid":"https://orcid.org/0000-0001-9904-7260"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongxing Liu","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045361189","display_name":"Wenbai Chen","orcid":"https://orcid.org/0000-0001-7683-2776"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbai Chen","raw_affiliation_strings":["School of Automation, Beijing Information Science and Technology University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100462019","display_name":"Jianfeng Li","orcid":"https://orcid.org/0000-0002-4338-6420"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Li","raw_affiliation_strings":["Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2911,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.56534572,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9991000294685364,"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":0.9991000294685364,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9837999939918518,"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":0.7591458559036255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7215889692306519},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6255710124969482},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5831117630004883},{"id":"https://openalex.org/keywords/scene-graph","display_name":"Scene graph","score":0.5293030738830566},{"id":"https://openalex.org/keywords/visual-reasoning","display_name":"Visual reasoning","score":0.4960852563381195},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4698057770729065},{"id":"https://openalex.org/keywords/spatial-intelligence","display_name":"Spatial intelligence","score":0.4664470851421356},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4538695514202118},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44028475880622864},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3511761426925659},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.17826348543167114},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1319127380847931}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7591458559036255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7215889692306519},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6255710124969482},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5831117630004883},{"id":"https://openalex.org/C179372163","wikidata":"https://www.wikidata.org/wiki/Q1406181","display_name":"Scene graph","level":3,"score":0.5293030738830566},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.4960852563381195},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4698057770729065},{"id":"https://openalex.org/C155911833","wikidata":"https://www.wikidata.org/wiki/Q3817354","display_name":"Spatial intelligence","level":2,"score":0.4664470851421356},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4538695514202118},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44028475880622864},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3511761426925659},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.17826348543167114},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1319127380847931},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9534389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2959947220","display_name":null,"funder_award_id":"4202026","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G6025883443","display_name":"\u57fa\u4e8e\u9065\u64cd\u4f5c\u793a\u6559\u7684\u4eba\u5f62\u673a\u5668\u4eba\u7c7b\u4eba\u52a8\u4f5c\u751f\u6210\u5bf9\u6297\u5f0f\u6a21\u4eff\u5b66\u4e60\u7814\u7a76","funder_award_id":"61873008","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"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1892339738","https://openalex.org/W1999156278","https://openalex.org/W2005552486","https://openalex.org/W2089554624","https://openalex.org/W2097117768","https://openalex.org/W2098201806","https://openalex.org/W2102605133","https://openalex.org/W2137658054","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2292575701","https://openalex.org/W2479423890","https://openalex.org/W2519887557","https://openalex.org/W2554952599","https://openalex.org/W2579549467","https://openalex.org/W2600030077","https://openalex.org/W2736791688","https://openalex.org/W2770468159","https://openalex.org/W2791992091","https://openalex.org/W2796347433","https://openalex.org/W2886970679","https://openalex.org/W2890531016","https://openalex.org/W2914433398","https://openalex.org/W2953249127","https://openalex.org/W2962737955","https://openalex.org/W2963150697","https://openalex.org/W2963319519","https://openalex.org/W2963358464","https://openalex.org/W2963654160","https://openalex.org/W2964015378","https://openalex.org/W2970710335","https://openalex.org/W2979300990","https://openalex.org/W2996527176","https://openalex.org/W3004280398","https://openalex.org/W3087094117","https://openalex.org/W3090139892","https://openalex.org/W3106250896","https://openalex.org/W3109408818","https://openalex.org/W4293412117","https://openalex.org/W4293584584","https://openalex.org/W4322614756","https://openalex.org/W6684191040","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W1574950926","https://openalex.org/W3137117987","https://openalex.org/W123410143","https://openalex.org/W2240909318","https://openalex.org/W4389782456","https://openalex.org/W4391159225","https://openalex.org/W2113245685","https://openalex.org/W4283332838","https://openalex.org/W4389519837","https://openalex.org/W3029560509"],"abstract_inverted_index":{"In":[0,60],"object-stacking":[1],"scenes,":[2],"robotic":[3],"manipulation":[4,26,58,69,79],"is":[5,16,110],"one":[6],"of":[7,122],"the":[8,33,36,120,128],"most":[9],"important":[10],"research":[11],"topics":[12],"in":[13,55,146],"robotics.":[14],"It":[15],"particularly":[17],"significant":[18],"to":[19,52,99,112],"reason":[20],"object":[21,45,76,114,144],"relationships":[22,77,145],"and":[23,35,47,78,86,92,118],"obtain":[24],"intelligent":[25],"order":[27],"for":[28],"more":[29],"advanced":[30],"interaction":[31],"between":[32,103],"robot":[34],"environment.":[37],"However,":[38],"many":[39],"existing":[40],"methods":[41,141],"focus":[42],"on":[43,127,142],"individual":[44],"features":[46,85],"ignore":[48],"contextual":[49,101],"information,":[50],"leading":[51],"great":[53],"challenges":[54],"efficiently":[56],"reasoning":[57,71,117,143],"relationship.":[59],"this":[61],"paper,":[62],"we":[63],"introduce":[64],"a":[65,106],"novel":[66],"graph-based":[67],"visual":[68],"relationship":[70,107],"architecture":[72],"that":[73,135],"directly":[74],"outputs":[75],"order.":[80],"Our":[81],"model":[82,137],"first":[83],"extracts":[84],"detects":[87],"objects":[88],"from":[89],"RGB":[90],"images,":[91],"then":[93],"adopts":[94],"Graph":[95],"Convolutional":[96],"Network":[97],"(GCN)":[98],"collect":[100],"information":[102],"objects.":[104],"Moreover,":[105],"filtering":[108],"network":[109],"built":[111],"reduce":[113],"pairs":[115],"before":[116],"improve":[119],"efficiency":[121],"relation":[123],"reasoning.":[124],"The":[125],"experiments":[126],"Visual":[129],"Manipulation":[130],"Relationship":[131],"Dataset":[132],"(VMRD)":[133],"show":[134],"our":[136],"significantly":[138],"outperforms":[139],"previous":[140],"obiect-stackina":[147],"scenes.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}