{"id":"https://openalex.org/W1934621328","doi":"https://doi.org/10.1109/cvpr.2015.7298711","title":"Weakly supervised object detection with convex clustering","display_name":"Weakly supervised object detection with convex clustering","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1934621328","doi":"https://doi.org/10.1109/cvpr.2015.7298711","mag":"1934621328"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7298711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298711","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":true,"oa_status":"green","oa_url":"https://lirias.kuleuven.be/handle/123456789/511404","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056977175","display_name":"Hakan Bilen","orcid":"https://orcid.org/0000-0002-6947-6918"},"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/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE","GB"],"is_corresponding":true,"raw_author_name":"Hakan Bilen","raw_affiliation_strings":["ESAT-PSI/iMinds, Belgium","VGG, Dept. of Eng. Sci., University of Oxford"],"affiliations":[{"raw_affiliation_string":"ESAT-PSI/iMinds, Belgium","institution_ids":["https://openalex.org/I39327780"]},{"raw_affiliation_string":"VGG, Dept. of Eng. Sci., University of Oxford","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039660800","display_name":"Marco Pedersoli","orcid":"https://orcid.org/0000-0002-7601-8640"},"institutions":[{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Marco Pedersoli","raw_affiliation_strings":["ESAT-PSI/iMinds, Belgium"],"affiliations":[{"raw_affiliation_string":"ESAT-PSI/iMinds, Belgium","institution_ids":["https://openalex.org/I39327780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074816094","display_name":"Tinne Tuytelaars","orcid":"https://orcid.org/0000-0003-3307-9723"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Tinne Tuytelaars","raw_affiliation_strings":["Katholieke Universiteit Leuven, Leuven, Flanders, BE"],"affiliations":[{"raw_affiliation_string":"Katholieke Universiteit Leuven, Leuven, Flanders, BE","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056977175"],"corresponding_institution_ids":["https://openalex.org/I39327780","https://openalex.org/I40120149"],"apc_list":null,"apc_paid":null,"fwci":20.2008,"has_fulltext":false,"cited_by_count":235,"citation_normalized_percentile":{"value":0.99508983,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1081","last_page":"1089"},"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":0.9997000098228455,"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"}},"topics":[{"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/T10057","display_name":"Face and Expression Recognition","score":0.9983000159263611,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9983000159263611,"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/cluster-analysis","display_name":"Cluster analysis","score":0.6570339798927307},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.628981351852417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5608949065208435},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.5240302681922913},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4708021879196167},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4672899842262268},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4547112286090851},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36634132266044617},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27417218685150146}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6570339798927307},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.628981351852417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5608949065208435},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.5240302681922913},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4708021879196167},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4672899842262268},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4547112286090851},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36634132266044617},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27417218685150146},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2015.7298711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298711","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:lirias2repo.kuleuven.be:123456789/511404","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/511404","pdf_url":null,"source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"IEEE conference on computer vision and pattern recognition - CVPR 2015, Boston, Massachusetts, USA, 7-12 June 2015","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/511404","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/511404","pdf_url":null,"source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"IEEE conference on computer vision and pattern recognition - CVPR 2015, Boston, Massachusetts, USA, 7-12 June 2015","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W318792885","https://openalex.org/W1480376833","https://openalex.org/W1562849413","https://openalex.org/W1606858007","https://openalex.org/W2000021714","https://openalex.org/W2016016818","https://openalex.org/W2037227137","https://openalex.org/W2051434435","https://openalex.org/W2061629163","https://openalex.org/W2079267072","https://openalex.org/W2086052791","https://openalex.org/W2086504823","https://openalex.org/W2088049833","https://openalex.org/W2102605133","https://openalex.org/W2106841609","https://openalex.org/W2114623790","https://openalex.org/W2132984949","https://openalex.org/W2147196093","https://openalex.org/W2150593711","https://openalex.org/W2155541015","https://openalex.org/W2157244733","https://openalex.org/W2167732364","https://openalex.org/W2168036472","https://openalex.org/W2168356304","https://openalex.org/W2168407575","https://openalex.org/W2168912077","https://openalex.org/W2186094539","https://openalex.org/W2186827065","https://openalex.org/W2189424119","https://openalex.org/W2913586401","https://openalex.org/W2952072685","https://openalex.org/W2963934231","https://openalex.org/W4294375521","https://openalex.org/W6611089629","https://openalex.org/W6633632867","https://openalex.org/W6636412649","https://openalex.org/W6675392924","https://openalex.org/W6675803743","https://openalex.org/W6679390333","https://openalex.org/W6684579695","https://openalex.org/W6684788422","https://openalex.org/W6686576746","https://openalex.org/W6759474501"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W1926736923","https://openalex.org/W2158836806","https://openalex.org/W2393816671","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Weakly":[0],"supervised":[1],"object":[2,24,43,96],"detection,":[3],"is":[4,36,76,145,159],"a":[5,50,87,116,127,136,151,173,200],"challenging":[6],"task,":[7],"where":[8],"the":[9,15,19,23,39,42,55,74,80,92,95,105,111,124,140,164,204,209],"training":[10,141,205],"procedure":[11,81],"involves":[12],"learning":[13,66],"at":[14,194],"same":[16],"time":[17,196,206],"both,":[18],"model":[20],"appearance":[21,67],"and":[22,53,68,79,126,153],"location":[25,40,122],"in":[26,46,86,97,123,139],"each":[27,47,120],"image.":[28],"The":[29,143],"classical":[30],"approach":[31],"to":[32,37,107,110,208],"solve":[33],"this":[34,101],"problem":[35],"consider":[38],"of":[41,44,130,156,203],"interest":[45],"image":[48,125],"as":[49,65],"latent":[51,60],"variable":[52,61],"minimize":[54],"loss":[56],"generated":[57],"by":[58,114,182],"such":[59],"during":[62],"learning.":[63],"However,":[64],"localization":[69],"are":[70],"two":[71],"interconnected":[72],"tasks,":[73],"optimization":[75,106],"not":[77,160],"convex":[78,137,210],"can":[82],"easily":[83],"get":[84,108],"stuck":[85],"poor":[88],"local":[89],"minimum,":[90],"i.e.":[91],"algorithm":[93],"\u201cmisses\u201d":[94],"some":[98],"images.":[99,142],"In":[100],"paper,":[102],"we":[103],"help":[104,144],"close":[109],"global":[112],"minimum":[113],"enforcing":[115],"\u201csoft\u201d":[117],"similarity":[118],"between":[119],"possible":[121],"reduced":[128],"set":[129],"\u201cexemplars\u201d,":[131],"or":[132,191],"clusters,":[133],"learned":[134],"with":[135,163],"formulation":[138],"effective":[146],"because":[147],"it":[148],"comes":[149],"from":[150],"different":[152],"smooth":[154],"source":[155],"information":[157],"that":[158,169],"directly":[161],"connected":[162],"main":[165],"task.":[166],"Results":[167],"show":[168],"our":[170],"method":[171],"improves":[172],"strong":[174],"baseline":[175],"based":[176],"on":[177],"convolutional":[178],"neural":[179],"network":[180],"features":[181,190],"more":[183],"than":[184],"4":[185],"points":[186],"without":[187],"any":[188],"additional":[189],"extra":[192],"computation":[193],"testing":[195],"but":[197],"only":[198],"adding":[199],"small":[201],"increment":[202],"due":[207],"clustering.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":32},{"year":2020,"cited_by_count":23},{"year":2019,"cited_by_count":37},{"year":2018,"cited_by_count":36},{"year":2017,"cited_by_count":43},{"year":2016,"cited_by_count":28},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
