{"id":"https://openalex.org/W1991187245","doi":"https://doi.org/10.1145/2775280.2792589","title":"SemanticPaint","display_name":"SemanticPaint","publication_year":2015,"publication_date":"2015-07-30","ids":{"openalex":"https://openalex.org/W1991187245","doi":"https://doi.org/10.1145/2775280.2792589","mag":"1991187245"},"language":"en","primary_location":{"id":"doi:10.1145/2775280.2792589","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2775280.2792589","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2015 Talks","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/A5106282912","display_name":"Julien Valentin","orcid":"https://orcid.org/0000-0001-8503-6325"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Julien Valentin","raw_affiliation_strings":["University of Oxford","University of Oxford, UK,"],"affiliations":[{"raw_affiliation_string":"University of Oxford","institution_ids":["https://openalex.org/I40120149"]},{"raw_affiliation_string":"University of Oxford, UK,","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045147286","display_name":"Vibhav Vineet","orcid":null},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]},{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Vibhav Vineet","raw_affiliation_strings":["University of Oxford and Stanford University"],"affiliations":[{"raw_affiliation_string":"University of Oxford and Stanford University","institution_ids":["https://openalex.org/I97018004","https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037131575","display_name":"Ming\u2010Ming Cheng","orcid":"https://orcid.org/0000-0001-5550-8758"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]},{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Ming-Ming Cheng","raw_affiliation_strings":["University of Oxford and Nankai University"],"affiliations":[{"raw_affiliation_string":"University of Oxford and Nankai University","institution_ids":["https://openalex.org/I205237279","https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100403329","display_name":"David Kim","orcid":"https://orcid.org/0009-0008-7971-6146"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"David Kim","raw_affiliation_strings":["Microsoft Research","University of Oxford, UK,"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"University of Oxford, UK,","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002831957","display_name":"Jamie Shotton","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jamie Shotton","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013834379","display_name":"Pushmeet Kohli","orcid":"https://orcid.org/0000-0002-7466-7997"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pushmeet Kohli","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088583491","display_name":"Matthias Nie\u00dfner","orcid":"https://orcid.org/0000-0001-6093-5199"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthias Nie\u00dfner","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091150085","display_name":"Antonio Criminisi","orcid":"https://orcid.org/0000-0001-7976-3374"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Antonio Criminisi","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014927177","display_name":"Shahram Izadi","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Shahram Izadi","raw_affiliation_strings":["Microsoft Research","Microsoft research#TAB#"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft research#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042899882","display_name":"Philip H. S. Torr","orcid":null},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Philip Torr","raw_affiliation_strings":["University of Oxford","University of Oxford, UK,"],"affiliations":[{"raw_affiliation_string":"University of Oxford","institution_ids":["https://openalex.org/I40120149"]},{"raw_affiliation_string":"University of Oxford, UK,","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5106282912"],"corresponding_institution_ids":["https://openalex.org/I40120149"],"apc_list":null,"apc_paid":null,"fwci":7.2972,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.96206381,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7914683818817139},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6881260871887207},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6377890110015869},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.5819053053855896},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5736051797866821},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5653132796287537},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5581783652305603},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5028895735740662},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.41870853304862976},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4176504611968994}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7914683818817139},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6881260871887207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6377890110015869},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.5819053053855896},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5736051797866821},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5653132796287537},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5581783652305603},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5028895735740662},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.41870853304862976},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4176504611968994},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2775280.2792589","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2775280.2792589","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2015 Talks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1433660490","https://openalex.org/W1681793215","https://openalex.org/W1987648924","https://openalex.org/W2071906076"],"related_works":["https://openalex.org/W2517104666","https://openalex.org/W2005437358","https://openalex.org/W1669643531","https://openalex.org/W2975200075","https://openalex.org/W2008656436","https://openalex.org/W2007544051","https://openalex.org/W2134924024","https://openalex.org/W2023558673","https://openalex.org/W1967061043","https://openalex.org/W2019566805"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,24,29,32,37,95,130],"real-time,":[3],"interactive":[4],"system":[5],"for":[6,109],"the":[7,45,55,71,114,125,156,160,163,169,172,177,183],"geometric":[8],"reconstruction,":[9],"object-class":[10],"segmentation":[11],"and":[12,36,41,52,64,79,155,174],"learning":[13,101],"of":[14,113,171],"3D":[15,46,132],"scenes":[16],"[Valentin":[17],"et":[18,49],"al.":[19,50],"].":[20],"Using":[21],"our":[22],"system,":[23],"user":[25,67,89,157],"can":[26],"walk":[27],"into":[28,57,129],"room":[30],"wearing":[31],"consumer":[33],"depth":[34],"camera":[35],"virtual":[38],"reality":[39],"headset,":[40],"both":[42],"densely":[43],"reconstruct":[44],"scene":[47,178],"[Nie\u00dfner":[48],"2013])":[51],"interactively":[53],"segment":[54],"environment":[56],"object":[58],"classes":[59],"such":[60],"as":[61,179],"'chair',":[62],"'floor'":[63],"'table'.":[65],"The":[66,116,148],"interacts":[68],"physically":[69],"with":[70,120,176],"real-world":[72],"scene,":[73],"touching":[74],"or":[75],"pointing":[76],"at":[77],"objects":[78],"using":[80],"voice":[81],"commands":[82],"to":[83,106,143,181],"assign":[84],"them":[85],"appropriate":[86],"labels.":[87],"These":[88],"generated":[90],"labels":[91,108],"are":[92,127],"leveraged":[93],"by":[94,124],"new":[96],"online":[97],"random":[98,134],"forest-based":[99],"machine":[100],"algorithm,":[102],"which":[103,138],"is":[104],"used":[105],"predict":[107],"previously":[110],"unseen":[111],"parts":[112],"scene.":[115],"predicted":[117,184],"labels,":[118],"together":[119],"those":[121],"provided":[122],"directly":[123],"user,":[126],"incorporated":[128],"dense":[131],"conditional":[133],"field":[135],"model,":[136],"over":[137],"we":[139],"perform":[140],"mean-field":[141],"inference":[142],"filter":[144],"out":[145],"label":[146],"inconsistencies.":[147],"entire":[149],"pipeline":[150],"runs":[151],"in":[152],"real":[153],"time,":[154],"stays":[158],"'in":[159],"loop'":[161],"throughout":[162],"process,":[164],"receiving":[165],"immediate":[166],"feedback":[167],"about":[168],"progress":[170],"labelling":[173],"interacting":[175],"necessary":[180],"refine":[182],"segmentation.":[185]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}