{"id":"https://openalex.org/W2058272204","doi":"https://doi.org/10.1109/vcip.2013.6706361","title":"Object co-detection via low-rank and sparse representation dictionary learning","display_name":"Object co-detection via low-rank and sparse representation dictionary learning","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W2058272204","doi":"https://doi.org/10.1109/vcip.2013.6706361","mag":"2058272204"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2013.6706361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2013.6706361","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Visual Communications and Image Processing (VCIP)","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/A5088336950","display_name":"Yurui Xie","orcid":"https://orcid.org/0000-0003-2539-570X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yurui Xie","raw_affiliation_strings":["School of Electronic Engineering, University of Electronic Science and Technology of China","Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081848769","display_name":"Chao Huang","orcid":"https://orcid.org/0000-0003-3023-4388"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Huang","raw_affiliation_strings":["School of Electronic Engineering, University of Electronic Science and Technology of China","Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010200502","display_name":"Tiecheng Song","orcid":"https://orcid.org/0000-0003-1264-2812"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiecheng Song","raw_affiliation_strings":["School of Electronic Engineering, University of Electronic Science and Technology of China","Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034072124","display_name":"Jinxiu Ma","orcid":"https://orcid.org/0009-0009-1164-4331"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinxiu Ma","raw_affiliation_strings":["School of Electronic Engineering, University of Electronic Science and Technology of China","Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068895070","display_name":"Jietao Jing","orcid":null},"institutions":[{"id":"https://openalex.org/I130541836","display_name":"Beijing Institute of Petrochemical Technology","ror":"https://ror.org/025s55q11","country_code":"CN","type":"education","lineage":["https://openalex.org/I130541836"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jietao Jing","raw_affiliation_strings":["Beijing Aproud Technology Co, Ltd., China","Beijing Aproud Technol. Co., Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Aproud Technology Co, Ltd., China","institution_ids":["https://openalex.org/I130541836"]},{"raw_affiliation_string":"Beijing Aproud Technol. Co., Ltd., Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5088336950"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.3524,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63763032,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.9957000017166138,"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/k-svd","display_name":"K-SVD","score":0.7595959901809692},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.7055738568305969},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7053216099739075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6730244159698486},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.659503698348999},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6505119204521179},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6456236839294434},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6292378902435303},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6197789907455444},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5848499536514282},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5674338340759277},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4612544775009155},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4255954623222351},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.4236524701118469},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2345179319381714}],"concepts":[{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.7595959901809692},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.7055738568305969},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7053216099739075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6730244159698486},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.659503698348999},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6505119204521179},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6456236839294434},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6292378902435303},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6197789907455444},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5848499536514282},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5674338340759277},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4612544775009155},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4255954623222351},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4236524701118469},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2345179319381714},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2013.6706361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2013.6706361","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7599999904632568}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335773","display_name":"National High-tech Research and Development Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1736339626","https://openalex.org/W2005876975","https://openalex.org/W2011811856","https://openalex.org/W2020477327","https://openalex.org/W2022036199","https://openalex.org/W2028590536","https://openalex.org/W2035746673","https://openalex.org/W2039507552","https://openalex.org/W2056933870","https://openalex.org/W2083542343","https://openalex.org/W2099528205","https://openalex.org/W2112553126","https://openalex.org/W2128638419","https://openalex.org/W2128715914","https://openalex.org/W2137881638","https://openalex.org/W2145962650","https://openalex.org/W2160547390","https://openalex.org/W2162915993","https://openalex.org/W2166655058","https://openalex.org/W2167499379","https://openalex.org/W2168646055","https://openalex.org/W2256468674","https://openalex.org/W2953139536","https://openalex.org/W6659319144","https://openalex.org/W6664576054","https://openalex.org/W6678757208","https://openalex.org/W6680357304","https://openalex.org/W6692523555","https://openalex.org/W6929385289"],"related_works":["https://openalex.org/W2509955295","https://openalex.org/W2572092625","https://openalex.org/W1987225540","https://openalex.org/W1778286912","https://openalex.org/W2099321050","https://openalex.org/W2116933539","https://openalex.org/W4245251483","https://openalex.org/W2008821896","https://openalex.org/W1992008660","https://openalex.org/W2034957211"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,21,99],"exploit":[4],"an":[5,106],"algorithm":[6,44,128],"for":[7],"detecting":[8],"the":[9,23,58,68,74,84,102,121],"individual":[10],"objects":[11,32],"from":[12,63],"multiple":[13],"images":[14],"in":[15,93],"a":[16,27,36,51,94],"weakly":[17],"supervised":[18],"manner.":[19],"Specifically,":[20],"treat":[22],"object":[24,60,135],"co-detection":[25],"as":[26],"jointly":[28],"dictionary":[29,42,55,65,126],"learning":[30,43,66,127],"and":[31,39,53,83,123],"localization":[33],"problem.":[34],"Thus":[35],"novel":[37],"low-rank":[38,85,122],"sparse":[40,124],"representation":[41,72,125],"is":[45],"proposed.":[46],"It":[47],"aims":[48],"to":[49,132],"learn":[50],"compact":[52],"discriminative":[54],"associated":[56],"with":[57],"specific":[59],"category.":[61],"Different":[62],"previous":[64],"methods,":[67],"sparsity":[69],"imposed":[70],"on":[71],"coefficients,":[73],"rank":[75],"minimization":[76],"of":[77,87,109],"learned":[78],"dictionary,":[79],"data":[80,89],"reconstruction":[81],"error":[82],"constraint":[86,103],"sample":[88],"are":[90],"all":[91,101],"incorporated":[92],"unitized":[95],"objective":[96],"function.":[97],"Then":[98],"optimize":[100],"terms":[104],"via":[105],"extended":[107],"version":[108],"augmented":[110],"lagrange":[111],"multipliers":[112],"(ALM)":[113],"method":[114],"simultaneously.":[115],"The":[116],"experimental":[117],"results":[118],"demonstrate":[119],"that":[120],"can":[129],"compare":[130],"favorably":[131],"other":[133],"single":[134],"detection":[136],"method.":[137]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}