{"id":"https://openalex.org/W4205395137","doi":"https://doi.org/10.1109/access.2021.3139000","title":"Scene Graph Generation Using Depth, Spatial, and Visual Cues in 2D Images","display_name":"Scene Graph Generation Using Depth, Spatial, and Visual Cues in 2D Images","publication_year":2021,"publication_date":"2021-12-27","ids":{"openalex":"https://openalex.org/W4205395137","doi":"https://doi.org/10.1109/access.2021.3139000"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3139000","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3139000","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09663384.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09663384.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067474186","display_name":"Aiswarya S. Kumar","orcid":"https://orcid.org/0000-0001-8695-6393"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aiswarya S. Kumar","raw_affiliation_strings":["Dept. of Computer Science, Amrita Vishwa Vidyapeetham, Amritapuri, India. (e-mail: ais9104@gmail.com)","Dept. of Computer Science, Amrita Vishwa Vidyapeetham, Amritapuri, India"],"raw_orcid":"https://orcid.org/0000-0001-8695-6393","affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Amrita Vishwa Vidyapeetham, Amritapuri, India. (e-mail: ais9104@gmail.com)","institution_ids":["https://openalex.org/I81556334"]},{"raw_affiliation_string":"Dept. of Computer Science, Amrita Vishwa Vidyapeetham, Amritapuri, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041549614","display_name":"Jyothisha J. Nair","orcid":"https://orcid.org/0000-0002-8050-8896"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jyothisha J. Nair","raw_affiliation_strings":["Dept. of Computer Science, Amrita Vishwa Vidyapeetham, Amritapuri, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Amrita Vishwa Vidyapeetham, Amritapuri, India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.6792,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.72343994,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"10","issue":null,"first_page":"1968","last_page":"1978"},"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":0.9997000098228455,"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":0.9961000084877014,"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/scene-graph","display_name":"Scene graph","score":0.8308627605438232},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7940669655799866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6726539134979248},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5793167352676392},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5600926280021667},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5594771504402161},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5092238187789917},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4660315215587616},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4644154906272888},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.42609816789627075},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.17483168840408325}],"concepts":[{"id":"https://openalex.org/C179372163","wikidata":"https://www.wikidata.org/wiki/Q1406181","display_name":"Scene graph","level":3,"score":0.8308627605438232},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7940669655799866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6726539134979248},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5793167352676392},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5600926280021667},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5594771504402161},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5092238187789917},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4660315215587616},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4644154906272888},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42609816789627075},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.17483168840408325},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"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/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3139000","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3139000","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09663384.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f14aef3b7be240faa0545dcfc8599366","is_oa":true,"landing_page_url":"https://doaj.org/article/f14aef3b7be240faa0545dcfc8599366","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 1968-1978 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3139000","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3139000","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09663384.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2559018217","display_name":null,"funder_award_id":"09/942 (0014) 2K17","funder_id":"https://openalex.org/F4320320721","funder_display_name":"Council of Scientific and Industrial Research, India"}],"funders":[{"id":"https://openalex.org/F4320320721","display_name":"Council of Scientific and Industrial Research, India","ror":"https://ror.org/021wm7p51"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4205395137.pdf","grobid_xml":"https://content.openalex.org/works/W4205395137.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W146395692","https://openalex.org/W639708223","https://openalex.org/W1905829557","https://openalex.org/W2006969979","https://openalex.org/W2049705550","https://openalex.org/W2077069816","https://openalex.org/W2098411764","https://openalex.org/W2102605133","https://openalex.org/W2277195237","https://openalex.org/W2479423890","https://openalex.org/W2506483933","https://openalex.org/W2579549467","https://openalex.org/W2591644541","https://openalex.org/W2598931156","https://openalex.org/W2789177853","https://openalex.org/W2810482788","https://openalex.org/W2886970679","https://openalex.org/W2890531016","https://openalex.org/W2897544947","https://openalex.org/W2907626954","https://openalex.org/W2914686952","https://openalex.org/W2955988340","https://openalex.org/W2962737704","https://openalex.org/W2962785943","https://openalex.org/W2962811161","https://openalex.org/W2963536419","https://openalex.org/W2963649796","https://openalex.org/W2963650529","https://openalex.org/W2963683498","https://openalex.org/W2969047925","https://openalex.org/W3006615996","https://openalex.org/W3021735172","https://openalex.org/W3030462281","https://openalex.org/W3081151303","https://openalex.org/W6637373629","https://openalex.org/W6652311901","https://openalex.org/W6741849389","https://openalex.org/W6754554023","https://openalex.org/W6778155019"],"related_works":["https://openalex.org/W2068608913","https://openalex.org/W3124914020","https://openalex.org/W2141033859","https://openalex.org/W2156434174","https://openalex.org/W2071701083","https://openalex.org/W2383687187","https://openalex.org/W2081517010","https://openalex.org/W2121496884","https://openalex.org/W4392007279","https://openalex.org/W4387129494"],"abstract_inverted_index":{"To":[0],"understand":[1],"an":[2],"image":[3],"or":[4],"a":[5,31,40,59,86],"scene":[6,28,93,109],"properly,":[7],"it":[8],"is":[9,30,89],"necessary":[10],"to":[11,68],"identify":[12],"objects":[13],"participating":[14],"in":[15,39],"the":[16,50,56,80,108,115,125],"scene,":[17],"their":[18,25],"relationships,":[19],"and":[20,55,77,100],"various":[21],"attributes":[22],"that":[23,34,114],"describe":[24],"properties.":[26],"A":[27],"graph":[29,44,110],"high-level":[32],"representation":[33],"confines":[35],"all":[36],"these":[37,70],"features":[38],"structured":[41],"manner.":[42],"Scene":[43],"generation":[45,111],"includes":[46],"multiple":[47],"challenges":[48],"like":[49],"semantics":[51],"of":[52,58,103],"relationships":[53],"considered":[54],"availability":[57],"well-balanced":[60],"dataset":[61],"with":[62],"sufficient":[63],"training":[64],"examples.":[65],"We":[66],"tried":[67],"mitigate":[69],"problems":[71],"by":[72],"extracting":[73],"two":[74],"subsets,":[75],"VG-R10":[76],"VG-A16,":[78],"from":[79,96],"popular":[81],"Visual":[82],"Genome":[83],"dataset.":[84],"Also,":[85],"framework":[87,117],"(S2G)":[88],"proposed":[90,116],"for":[91],"generating":[92],"graphs":[94],"directly":[95],"images":[97],"using":[98],"depth":[99],"spatial":[101],"information":[102],"object":[104],"pairs.":[105],"Evaluations":[106],"on":[107,121],"model":[112],"reveal":[113],"achieves":[118],"better":[119],"results":[120],"our":[122],"data":[123],"than":[124],"state-of-the-art.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
