{"id":"https://openalex.org/W2043116985","doi":"https://doi.org/10.1145/2629701","title":"From RGB-D Images to RGB Images","display_name":"From RGB-D Images to RGB Images","publication_year":2015,"publication_date":"2015-03-31","ids":{"openalex":"https://openalex.org/W2043116985","doi":"https://doi.org/10.1145/2629701","mag":"2043116985"},"language":"en","primary_location":{"id":"doi:10.1145/2629701","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2629701","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-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/A5080312761","display_name":"Quanshi Zhang","orcid":"https://orcid.org/0000-0002-6108-2738"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP","US"],"is_corresponding":true,"raw_author_name":"Quanshi Zhang","raw_affiliation_strings":["University of Tokyo; University of California, Los Angeles, USA","University of Tokyo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tokyo; University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"University of Tokyo","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046856721","display_name":"Xuan Song","orcid":"https://orcid.org/0000-0003-4042-7888"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xuan Song","raw_affiliation_strings":["University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050975050","display_name":"Xiaowei Shao","orcid":"https://orcid.org/0000-0002-2603-057X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xiaowei Shao","raw_affiliation_strings":["University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060007938","display_name":"Huijing Zhao","orcid":"https://orcid.org/0000-0001-9245-3039"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huijing Zhao","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105206953","display_name":"Ryosuke Shibasaki","orcid":"https://orcid.org/0000-0001-8760-244X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryosuke Shibasaki","raw_affiliation_strings":["University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5080312761"],"corresponding_institution_ids":["https://openalex.org/I161318765","https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.7486,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7912207,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"6","issue":"2","first_page":"1","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network 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"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.83710777759552},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8279938697814941},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.7175701856613159},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.558850884437561},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5460016131401062},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.46887636184692383},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4591718018054962},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4481401741504669},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4426143765449524},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.42407214641571045},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4238923192024231},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4228481352329254},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.24674829840660095}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.83710777759552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8279938697814941},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7175701856613159},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.558850884437561},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5460016131401062},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.46887636184692383},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4591718018054962},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4481401741504669},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4426143765449524},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.42407214641571045},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4238923192024231},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4228481352329254},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.24674829840660095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2629701","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2629701","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W176069360","https://openalex.org/W180545500","https://openalex.org/W204334820","https://openalex.org/W1494504319","https://openalex.org/W1554775467","https://openalex.org/W1576725826","https://openalex.org/W1744214816","https://openalex.org/W1881711072","https://openalex.org/W1963920598","https://openalex.org/W1968485689","https://openalex.org/W1968731684","https://openalex.org/W1969274698","https://openalex.org/W1970899458","https://openalex.org/W1971988305","https://openalex.org/W1990802205","https://openalex.org/W1997991368","https://openalex.org/W1998870338","https://openalex.org/W1999691854","https://openalex.org/W2000433020","https://openalex.org/W2018573225","https://openalex.org/W2020636921","https://openalex.org/W2021683594","https://openalex.org/W2023942871","https://openalex.org/W2027811869","https://openalex.org/W2027953712","https://openalex.org/W2030535323","https://openalex.org/W2043208728","https://openalex.org/W2066813062","https://openalex.org/W2071692022","https://openalex.org/W2074972585","https://openalex.org/W2079070185","https://openalex.org/W2085411191","https://openalex.org/W2087433650","https://openalex.org/W2093102539","https://openalex.org/W2094539604","https://openalex.org/W2095727456","https://openalex.org/W2095840396","https://openalex.org/W2098493135","https://openalex.org/W2098894541","https://openalex.org/W2099668476","https://openalex.org/W2103375950","https://openalex.org/W2104366350","https://openalex.org/W2106255337","https://openalex.org/W2106766627","https://openalex.org/W2110158442","https://openalex.org/W2110929154","https://openalex.org/W2115733720","https://openalex.org/W2120480077","https://openalex.org/W2123236823","https://openalex.org/W2125434107","https://openalex.org/W2127911825","https://openalex.org/W2128725594","https://openalex.org/W2129091674","https://openalex.org/W2140363548","https://openalex.org/W2142650037","https://openalex.org/W2142726150","https://openalex.org/W2145169631","https://openalex.org/W2146814781","https://openalex.org/W2150760714","https://openalex.org/W2152953631","https://openalex.org/W2153632294","https://openalex.org/W2154583877","https://openalex.org/W2156222070","https://openalex.org/W2156689847","https://openalex.org/W2157084238","https://openalex.org/W2159727956","https://openalex.org/W2160956290","https://openalex.org/W2161969291","https://openalex.org/W2164918853","https://openalex.org/W2166820607","https://openalex.org/W2167135506","https://openalex.org/W2172156198","https://openalex.org/W2179146407","https://openalex.org/W2253807446","https://openalex.org/W2604213426","https://openalex.org/W3177525997"],"related_works":["https://openalex.org/W2095705906","https://openalex.org/W2922421953","https://openalex.org/W2975200075","https://openalex.org/W1971759388","https://openalex.org/W2025800131","https://openalex.org/W2129974284","https://openalex.org/W2007544051","https://openalex.org/W2035456249","https://openalex.org/W2004370856","https://openalex.org/W2008001747"],"abstract_inverted_index":{"Mining":[0],"object-level":[1],"knowledge,":[2],"that":[3,73,205],"is,":[4],"building":[5],"a":[6,12,19,70,76,88,183],"comprehensive":[7],"category":[8,145,197],"model":[9,31,85,117,138,161,180],"base,":[10],"from":[11,75,87,170],"large":[13,106],"set":[14],"of":[15,25,51,62,90],"cluttered":[16,93],"scenes":[17],"presents":[18],"considerable":[20],"challenge":[21],"to":[22,29,43,114,135,147,160,178],"the":[23,34,45,58,116,128,142,167,171,195,206],"field":[24],"artificial":[26],"intelligence.":[27],"How":[28],"initiate":[30],"learning":[32,124,181,215],"with":[33,121],"least":[35],"human":[36],"supervision":[37],"(i.e.,":[38],"manual":[39],"labeling)":[40],"and":[41,60,82,104,111,151],"how":[42],"encode":[44],"structural":[46],"knowledge":[47,86,168],"are":[48,101,198],"two":[49],"elements":[50],"this":[52,66],"challenge,":[53],"as":[54,210,212],"they":[55],"largely":[56],"determine":[57],"scalability":[59],"applicability":[61],"any":[63],"solution.":[64],"In":[65,158],"article,":[67],"we":[68,126],"propose":[69],"model-learning":[71],"method":[72,208],"starts":[74],"single-labeled":[77],"object":[78,149],"for":[79,163,182,200],"each":[80],"category,":[81,185],"mines":[83],"further":[84],"number":[89],"informally":[91],"captured,":[92],"scenes.":[94],"However,":[95],"in":[96,108,132,153,186,194],"these":[97],"scenes,":[98],"target":[99],"objects":[100],"relatively":[102],"small":[103],"have":[105],"variations":[107],"texture,":[109],"scale,":[110],"rotation.":[112],"Thus,":[113],"reduce":[115],"bias":[118],"normally":[119],"associated":[120],"less":[122],"supervised":[123,214],"methods,":[125],"use":[127],"robust":[129],"3D":[130],"shape":[131],"RGB-D":[133,172],"images":[134,173,190],"guide":[136,179],"our":[137],"learning,":[139],"then":[140],"apply":[141],"properly":[143],"trained":[144],"models":[146],"both":[148],"detection":[150],"recognition":[152],"more":[154],"conventional":[155],"RGB":[156,189],"images.":[157],"addition":[159],"training":[162],"their":[164],"own":[165],"categories,":[166],"extracted":[169],"can":[174],"also":[175],"be":[176],"transferred":[177],"new":[184,196],"which":[187],"only":[188],"without":[191],"depth":[192],"information":[193],"provided":[199],"training.":[201],"Preliminary":[202],"testing":[203],"shows":[204],"proposed":[207],"performs":[209],"well":[211],"fully":[213],"methods.":[216]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}