{"id":"https://openalex.org/W1994107985","doi":"https://doi.org/10.1109/cvpr.2015.7298866","title":"Enriching object detection with 2D-3D registration and continuous viewpoint estimation","display_name":"Enriching object detection with 2D-3D registration and continuous viewpoint estimation","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1994107985","doi":"https://doi.org/10.1109/cvpr.2015.7298866","mag":"1994107985"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7298866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298866","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/A5076611545","display_name":"Christopher Choy","orcid":"https://orcid.org/0009-0000-4023-1311"},"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":true,"raw_author_name":"Christopher Bongsoo Choy","raw_affiliation_strings":["Stanford University","Stanford University - USA >  >  >  >"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Stanford University - USA >  >  >  >","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006270785","display_name":"Michael Stark","orcid":"https://orcid.org/0000-0002-1481-9506"},"institutions":[{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]},{"id":"https://openalex.org/I149899117","display_name":"Max Planck Society","ror":"https://ror.org/01hhn8329","country_code":"DE","type":"funder","lineage":["https://openalex.org/I149899117"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Stark","raw_affiliation_strings":["Max Planck Institute for Informatics, Germany","Max-Planck Institute for Informatics, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Informatics, Germany","institution_ids":["https://openalex.org/I4210109712"]},{"raw_affiliation_string":"Max-Planck Institute for Informatics, Germany#TAB#","institution_ids":["https://openalex.org/I149899117"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026829784","display_name":"Sam Corbett\u2010Davies","orcid":null},"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":"Sam Corbett-Davies","raw_affiliation_strings":["Stanford University","Stanford University - USA >  >  >  >"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Stanford University - USA >  >  >  >","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042646536","display_name":"Silvio Savarese","orcid":null},"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":"Silvio Savarese","raw_affiliation_strings":["Stanford University","Stanford University - USA >  >  >  >"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Stanford University - USA >  >  >  >","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076611545"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":4.6761,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.96595724,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2512","last_page":"2520"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8268653154373169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.533087968826294},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5134004354476929},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.474581241607666},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.44840550422668457},{"id":"https://openalex.org/keywords/template","display_name":"Template","score":0.42176833748817444},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40273019671440125},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.392081081867218},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3266482651233673},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1122002899646759}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8268653154373169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.533087968826294},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5134004354476929},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.474581241607666},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.44840550422668457},{"id":"https://openalex.org/C82714645","wikidata":"https://www.wikidata.org/wiki/Q438331","display_name":"Template","level":2,"score":0.42176833748817444},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40273019671440125},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.392081081867218},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3266482651233673},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1122002899646759},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2015.7298866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298866","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"},{"id":"pmh:oai:escidoc.org:escidoc:2104776","is_oa":false,"landing_page_url":"http://hdl.handle.net/11858/00-001M-0000-0025-01B5-4","pdf_url":null,"source":{"id":"https://openalex.org/S7407052962","display_name":"Max Planck Digital Library","issn_l":null,"issn":[],"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W82130502","https://openalex.org/W1487583988","https://openalex.org/W1519402791","https://openalex.org/W1533501036","https://openalex.org/W1576725826","https://openalex.org/W1964201035","https://openalex.org/W1964725035","https://openalex.org/W1982428585","https://openalex.org/W1989684337","https://openalex.org/W1991264156","https://openalex.org/W2010625607","https://openalex.org/W2015983227","https://openalex.org/W2028147833","https://openalex.org/W2030682703","https://openalex.org/W2031489346","https://openalex.org/W2037227137","https://openalex.org/W2059704894","https://openalex.org/W2065090505","https://openalex.org/W2098841537","https://openalex.org/W2102605133","https://openalex.org/W2111087635","https://openalex.org/W2114111978","https://openalex.org/W2123456673","https://openalex.org/W2131806657","https://openalex.org/W2157953764","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2165741220","https://openalex.org/W2168356304","https://openalex.org/W2963542991","https://openalex.org/W6603374121","https://openalex.org/W6629368666","https://openalex.org/W6632063742","https://openalex.org/W6634542157","https://openalex.org/W6676694772","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2404514746","https://openalex.org/W1652783584","https://openalex.org/W2088733771","https://openalex.org/W2958404818"],"abstract_inverted_index":{"A":[0],"large":[1],"body":[2],"of":[3,22,38,45,61,100,134,177,189,206],"recent":[4],"work":[5,25],"on":[6,11,86,148,214],"object":[7,136],"detection":[8,19,119],"has":[9],"focused":[10],"exploiting":[12],"3D":[13,29,40,82,102,113,215],"CAD":[14],"model":[15,103,114],"databases":[16],"to":[17,31,174,185],"improve":[18],"performance.":[20,72],"Many":[21],"these":[23,53],"approaches":[24,54],"by":[26,127,168],"aligning":[27],"exact":[28],"models":[30,41,83],"images":[32],"using":[33,197],"templates":[34,80],"generated":[35],"from":[36,81,130],"renderings":[37],"the":[39,49,66,87,135,142,175],"at":[42],"a":[43,101,112,124,131,149],"set":[44],"discrete":[46],"viewpoints.":[47],"However,":[48],"training":[50,107],"procedures":[51],"for":[52,78,96,165],"are":[55,183],"computationally":[56],"expensive":[57,105],"and":[58,63,115,137,161,194,209,218],"require":[59],"gigabytes":[60],"memory":[62],"storage,":[64],"while":[65],"viewpoint":[67,99],"discretization":[68],"hampers":[69],"pose":[70],"estimation":[71],"We":[73,200],"propose":[74],"an":[75,97,116,202],"efficient":[76,203],"method":[77,122],"synthesizing":[79],"that":[84,90,152],"runs":[85],"fly":[88],"-":[89],"is,":[91],"it":[92],"quickly":[93],"produces":[94],"detectors":[95],"arbitrary":[98,117],"without":[104],"dataset-dependent":[106],"or":[108],"template":[109,126,171,179],"storage.":[110],"Given":[111],"continuous":[118,192],"viewpoint,":[120],"our":[121,178,207],"synthesizes":[123],"discriminative":[125],"extracting":[128],"features":[129],"rendered":[132],"view":[133],"decorrelating":[138],"spatial":[139],"dependences":[140],"among":[141],"features.":[143],"Our":[144],"decorrelation":[145],"procedure":[146],"relies":[147],"gradient-based":[150],"algorithm":[151],"is":[153],"more":[154],"numerically":[155],"stable":[156],"than":[157],"standard":[158],"decomposition-based":[159],"procedures,":[160],"we":[162,182,210],"efficiently":[163],"search":[164],"candidate":[166],"detections":[167],"computing":[169],"FFT-based":[170],"convolutions.":[172],"Due":[173],"speed":[176],"synthesis":[180],"procedure,":[181],"able":[184],"perform":[186],"joint":[187],"optimization":[188],"scale,":[190],"translation,":[191],"rotation,":[193],"focal":[195],"length":[196],"Metropolis-Hastings":[198],"algorithm.":[199],"provide":[201],"GPU":[204],"implementation":[205],"algorithm,":[208],"validate":[211],"its":[212],"performance":[213],"Object":[216],"Classes":[217],"PASCAL3D+":[219],"datasets.":[220]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
