{"id":"https://openalex.org/W1962921203","doi":"https://doi.org/10.1109/cvpr.2015.7299022","title":"Holistic 3D scene understanding from a single geo-tagged image","display_name":"Holistic 3D scene understanding from a single geo-tagged image","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1962921203","doi":"https://doi.org/10.1109/cvpr.2015.7299022","mag":"1962921203"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7299022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7299022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5022810135","display_name":"Shenlong Wang","orcid":"https://orcid.org/0000-0001-6670-4412"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Shenlong Wang","raw_affiliation_strings":["Department of Computer Science University of Toronto","Department of Computer Science, University of Toronto, ON M5S, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Toronto","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science, University of Toronto, ON M5S, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070642269","display_name":"Sanja Fidler","orcid":"https://orcid.org/0000-0003-1040-3260"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sanja Fidler","raw_affiliation_strings":["Department of Computer Science University of Toronto","Department of Computer Science, University of Toronto, ON M5S, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Toronto","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science, University of Toronto, ON M5S, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058557954","display_name":"Raquel Urtasun","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Raquel Urtasun","raw_affiliation_strings":["Department of Computer Science University of Toronto","Department of Computer Science, University of Toronto, ON M5S, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Toronto","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science, University of Toronto, ON M5S, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022810135"],"corresponding_institution_ids":["https://openalex.org/I185261750"],"apc_list":null,"apc_paid":null,"fwci":9.0207,"has_fulltext":false,"cited_by_count":83,"citation_normalized_percentile":{"value":0.98584637,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3964","last_page":"3972"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9997000098228455,"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/T10812","display_name":"Human Pose and Action Recognition","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"}}],"keywords":[{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.8259990215301514},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.7768825888633728},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.774480938911438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6876857280731201},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6046649813652039},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6021264791488647},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4782385230064392},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47561126947402954},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.460640013217926},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4479029178619385},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.44771188497543335},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3405475318431854},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.166558176279068},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15596261620521545},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.13737377524375916}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.8259990215301514},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.7768825888633728},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.774480938911438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6876857280731201},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6046649813652039},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6021264791488647},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4782385230064392},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47561126947402954},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.460640013217926},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4479029178619385},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.44771188497543335},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3405475318431854},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.166558176279068},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15596261620521545},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.13737377524375916}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2015.7299022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7299022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W27675589","https://openalex.org/W125693051","https://openalex.org/W253426031","https://openalex.org/W1489864607","https://openalex.org/W1533501036","https://openalex.org/W1610707153","https://openalex.org/W1748750709","https://openalex.org/W1818727054","https://openalex.org/W1964005749","https://openalex.org/W1965834447","https://openalex.org/W1992178727","https://openalex.org/W1992969267","https://openalex.org/W2026203852","https://openalex.org/W2048914355","https://openalex.org/W2065090505","https://openalex.org/W2066813062","https://openalex.org/W2067107771","https://openalex.org/W2071042563","https://openalex.org/W2074254947","https://openalex.org/W2101805040","https://openalex.org/W2103163130","https://openalex.org/W2111087635","https://openalex.org/W2113107168","https://openalex.org/W2116851763","https://openalex.org/W2132947399","https://openalex.org/W2137097255","https://openalex.org/W2137226992","https://openalex.org/W2137881638","https://openalex.org/W2141364309","https://openalex.org/W2146352414","https://openalex.org/W2147629985","https://openalex.org/W2150066425","https://openalex.org/W2151477068","https://openalex.org/W2151996626","https://openalex.org/W2154644822","https://openalex.org/W2155511848","https://openalex.org/W2155871590","https://openalex.org/W2158122241","https://openalex.org/W2158885857","https://openalex.org/W2159680539","https://openalex.org/W2163680646","https://openalex.org/W2168356304","https://openalex.org/W2534523274","https://openalex.org/W2535410496","https://openalex.org/W2675559657","https://openalex.org/W4285719527","https://openalex.org/W6605121731","https://openalex.org/W6629290616","https://openalex.org/W6632063742","https://openalex.org/W6638472885","https://openalex.org/W6666899075","https://openalex.org/W6676694772","https://openalex.org/W6680357304","https://openalex.org/W6680464238","https://openalex.org/W6680532697"],"related_works":["https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W2580650124","https://openalex.org/W3122088529","https://openalex.org/W3041320102","https://openalex.org/W2111669074","https://openalex.org/W2085259108","https://openalex.org/W3123087812","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0],"this":[1,16],"paper":[2],"we":[3,18],"are":[4],"interested":[5],"in":[6,85],"exploiting":[7],"geographic":[8],"priors":[9,58],"to":[10,51],"help":[11],"outdoor":[12],"scene":[13],"understanding.":[14],"Towards":[15],"goal":[17],"propose":[19],"a":[20,40],"holistic":[21,70],"approach":[22,44],"that":[23],"reasons":[24],"jointly":[25],"about":[26],"3D":[27,62],"object":[28],"detection,":[29],"pose":[30],"estimation,":[31],"semantic":[32,57],"segmentation":[33],"as":[34,36],"well":[35],"depth":[37],"reconstruction":[38],"from":[39],"single":[41],"image.":[42],"Our":[43],"takes":[45],"advantage":[46],"of":[47,68],"large-scale":[48],"crowd-sourced":[49],"maps":[50],"generate":[52],"dense":[53],"geographic,":[54],"geometric":[55],"and":[56,78,88],"by":[59],"rendering":[60],"the":[61,66,73,83],"world.":[63],"We":[64],"demonstrate":[65],"effectiveness":[67],"our":[69],"model":[71],"on":[72],"challenging":[74],"KITTI":[75],"dataset":[76],"[13],":[77],"show":[79],"significant":[80],"improvements":[81],"over":[82],"baselines":[84],"all":[86],"metrics":[87],"tasks.":[89]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":22},{"year":2015,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
