{"id":"https://openalex.org/W2968004941","doi":"https://doi.org/10.1109/tip.2019.2933728","title":"Image Representations With Spatial Object-to-Object Relations for RGB-D Scene Recognition","display_name":"Image Representations With Spatial Object-to-Object Relations for RGB-D Scene Recognition","publication_year":2019,"publication_date":"2019-08-13","ids":{"openalex":"https://openalex.org/W2968004941","doi":"https://doi.org/10.1109/tip.2019.2933728","mag":"2968004941","pmid":"https://pubmed.ncbi.nlm.nih.gov/31425031"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2019.2933728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2933728","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5055504013","display_name":"Xinhang Song","orcid":"https://orcid.org/0000-0002-0895-1076"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210097554","display_name":"Center for Excellence in Brain Science and Intelligence Technology","ror":"https://ror.org/00vpwhm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinhang Song","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computer Technology, Beijing, CAS, China"],"raw_orcid":"https://orcid.org/0000-0002-0895-1076","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computer Technology, Beijing, CAS, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085719285","display_name":"Shuqiang Jiang","orcid":"https://orcid.org/0000-0002-1596-4326"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210097554","display_name":"Center for Excellence in Brain Science and Intelligence Technology","ror":"https://ror.org/00vpwhm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuqiang Jiang","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computer Technology, Beijing, CAS, China"],"raw_orcid":"https://orcid.org/0000-0002-1596-4326","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computer Technology, Beijing, CAS, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100685776","display_name":"Bohan Wang","orcid":"https://orcid.org/0000-0003-1439-1455"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210097554","display_name":"Center for Excellence in Brain Science and Intelligence Technology","ror":"https://ror.org/00vpwhm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bohan Wang","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computer Technology, Beijing, CAS, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computer Technology, Beijing, CAS, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011528604","display_name":"Chengpeng Chen","orcid":"https://orcid.org/0000-0001-7754-344X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210097554","display_name":"Center for Excellence in Brain Science and Intelligence Technology","ror":"https://ror.org/00vpwhm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengpeng Chen","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computer Technology, Beijing, CAS, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computer Technology, Beijing, CAS, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007109976","display_name":"Gongwei Chen","orcid":"https://orcid.org/0000-0002-0634-6075"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210097554","display_name":"Center for Excellence in Brain Science and Intelligence Technology","ror":"https://ror.org/00vpwhm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gongwei Chen","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computer Technology, Beijing, CAS, China"],"raw_orcid":"https://orcid.org/0000-0002-0634-6075","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computer Technology, Beijing, CAS, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.201,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.92868603,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"29","issue":null,"first_page":"525","last_page":"537"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9995999932289124,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7728557586669922},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6567156314849854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6026634573936462},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5859637260437012},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5758568048477173},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5742579102516174},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5121448040008545},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49460551142692566},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4601143002510071},{"id":"https://openalex.org/keywords/spatial-relation","display_name":"Spatial relation","score":0.4533698558807373},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45041510462760925},{"id":"https://openalex.org/keywords/3d-single-object-recognition","display_name":"3D single-object recognition","score":0.44194042682647705},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4225797951221466},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4161238372325897},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4113110899925232},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.07003644108772278}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7728557586669922},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6567156314849854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6026634573936462},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5859637260437012},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5758568048477173},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5742579102516174},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5121448040008545},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49460551142692566},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4601143002510071},{"id":"https://openalex.org/C27511587","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relation","level":2,"score":0.4533698558807373},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45041510462760925},{"id":"https://openalex.org/C14551309","wikidata":"https://www.wikidata.org/wiki/Q4636325","display_name":"3D single-object recognition","level":4,"score":0.44194042682647705},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4225797951221466},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4161238372325897},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4113110899925232},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.07003644108772278},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","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/tip.2019.2933728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2933728","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:31425031","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31425031","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2975255100","display_name":null,"funder_award_id":"L182054","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G3605299792","display_name":"\u8de8\u7f51\u4e92\u8054\u89c6\u97f3\u9891\u5173\u8054\u5206\u6790\u4e0e\u641c\u7d22","funder_award_id":"61532018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7706496980","display_name":null,"funder_award_id":"2018M631583","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7750894348","display_name":null,"funder_award_id":"BX201700255","funder_id":"https://openalex.org/F4320335768","funder_display_name":"National Postdoctoral Program for Innovative Talents"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320335768","display_name":"National Postdoctoral Program for Innovative Talents","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W639708223","https://openalex.org/W753847829","https://openalex.org/W1536680647","https://openalex.org/W1565402342","https://openalex.org/W1811254738","https://openalex.org/W1849277567","https://openalex.org/W1895577753","https://openalex.org/W1919033285","https://openalex.org/W1923184257","https://openalex.org/W1924160326","https://openalex.org/W1969366022","https://openalex.org/W1969616664","https://openalex.org/W2027668556","https://openalex.org/W2032699694","https://openalex.org/W2056621158","https://openalex.org/W2098411764","https://openalex.org/W2102605133","https://openalex.org/W2109992539","https://openalex.org/W2110628941","https://openalex.org/W2117539524","https://openalex.org/W2118585731","https://openalex.org/W2122528955","https://openalex.org/W2128532956","https://openalex.org/W2133576408","https://openalex.org/W2134670479","https://openalex.org/W2146022472","https://openalex.org/W2153579005","https://openalex.org/W2157331557","https://openalex.org/W2169177311","https://openalex.org/W2186094539","https://openalex.org/W2296385829","https://openalex.org/W2444163375","https://openalex.org/W2465570449","https://openalex.org/W2475223347","https://openalex.org/W2508549879","https://openalex.org/W2520761760","https://openalex.org/W2552002300","https://openalex.org/W2556382245","https://openalex.org/W2604627275","https://openalex.org/W2732026016","https://openalex.org/W2741601747","https://openalex.org/W2766445549","https://openalex.org/W2962706528","https://openalex.org/W2963277399","https://openalex.org/W2963758027","https://openalex.org/W3104752576","https://openalex.org/W4294170691","https://openalex.org/W6620707391","https://openalex.org/W6633727509","https://openalex.org/W6638742206","https://openalex.org/W6676766825","https://openalex.org/W6677656871","https://openalex.org/W6679792166","https://openalex.org/W6682691769","https://openalex.org/W6725191590","https://openalex.org/W6730368104","https://openalex.org/W6736073538"],"related_works":["https://openalex.org/W196505194","https://openalex.org/W2578478211","https://openalex.org/W2207218974","https://openalex.org/W2387237626","https://openalex.org/W2182443753","https://openalex.org/W2014001742","https://openalex.org/W2403129783","https://openalex.org/W2188151889","https://openalex.org/W1841786463","https://openalex.org/W113382539"],"abstract_inverted_index":{"Scene":[0],"recognition":[1,205],"is":[2,91,121,148,184],"challenging":[3],"due":[4],"to":[5,80,114,150,153,162,175],"the":[6,22,45,94,154,158,165,168,191,199],"intra-class":[7],"diversity":[8],"and":[9,69,83,102,127,171,195,209],"inter-class":[10],"similarity.":[11],"Previous":[12],"works":[13],"recognize":[14],"scenes":[15],"either":[16],"with":[17,21,52,105,135],"global":[18],"representations":[19,24,34],"or":[20],"intermediate":[23,95],"of":[25,35,47,58,63,72,97,100,202],"objects.":[26],"In":[27,160],"contrast,":[28],"we":[29,197],"investigate":[30],"more":[31,125],"discriminative":[32],"image":[33,133],"object-to-object":[36,64,73],"relations":[37,86],"for":[38,156,186],"scene":[39,115,204],"recognition,":[40],"which":[41],"are":[42,78,173],"based":[43],"on":[44,206],"triplets":[46],"<object,":[48],"relation,":[49],"object>":[50],"obtained":[51],"detection":[53],"techniques.":[54],"Particularly,":[55],"two":[56],"types":[57],"representations,":[59],"including":[60],"co-occurring":[61,98],"frequency":[62,99],"relation":[65,74],"(denoted":[66,75],"as":[67,76,93],"COOR)":[68],"sequential":[70],"representation":[71,96],"SOOR),":[77],"proposed":[79,169,185,192],"describe":[81,132],"objects":[82,101],"their":[84,103],"relative":[85],"in":[87,123],"different":[88],"forms.":[89],"COOR":[90,170,194],"represented":[92,122],"relations,":[104],"a":[106,124,139,179],"three":[107],"order":[108,161],"tensor":[109],"that":[110,130],"can":[111],"be":[112],"fed":[113],"classifier":[116],"without":[117],"further":[118],"embedding.":[119],"SOOR":[120,152,172],"explicit":[126],"freer":[128],"form":[129],"sequentially":[131],"contents":[134],"local":[136],"captions.":[137],"And":[138],"sequence":[140],"encoding":[141],"model":[142],"(e.g.,":[143],"recurrent":[144],"neural":[145],"network":[146],"(RNN))":[147],"implemented":[149],"encode":[151],"features":[155],"feeding":[157],"classifiers.":[159],"better":[163],"capture":[164],"spatial":[166],"information,":[167],"adapted":[174],"RGB-D":[176,180,187,203,208],"data,":[177],"where":[178],"proposal":[181],"fusion":[182],"method":[183],"object":[188],"detection.":[189],"With":[190],"approaches":[193],"SOOR,":[196],"obtain":[198],"state-of-the-art":[200],"results":[201],"SUN":[207],"NYUD2":[210],"datasets.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":4}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}