{"id":"https://openalex.org/W1923277897","doi":"https://doi.org/10.1109/cvprw.2015.7301392","title":"Sparse re-id: Block sparsity for person re-identification","display_name":"Sparse re-id: Block sparsity for person re-identification","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1923277897","doi":"https://doi.org/10.1109/cvprw.2015.7301392","mag":"1923277897"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2015.7301392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2015.7301392","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 Workshops (CVPRW)","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/A5044410531","display_name":"Srikrishna Karanam","orcid":"https://orcid.org/0000-0002-7627-7765"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Srikrishna Karanam","raw_affiliation_strings":["Department of Electrical Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY","Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, United States"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, United States","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100421480","display_name":"Yang Li","orcid":"https://orcid.org/0000-0002-3006-7420"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["Department of Electrical Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY","Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, United States"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, United States","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049207791","display_name":"Richard J. Radke","orcid":"https://orcid.org/0000-0001-5064-7775"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard J. Radke","raw_affiliation_strings":["Department of Electrical Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY","Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, United States"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, United States","institution_ids":["https://openalex.org/I165799507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044410531"],"corresponding_institution_ids":["https://openalex.org/I165799507"],"apc_list":null,"apc_paid":null,"fwci":8.0488,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.98307255,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T11019","display_name":"Image Enhancement Techniques","score":0.9918000102043152,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9915000200271606,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7507178783416748},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.7052841782569885},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.6703474521636963},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6681166887283325},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6370863318443298},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6339735984802246},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5490524768829346},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4946381747722626},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4609215259552002},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.44802555441856384},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3861425220966339},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36169761419296265},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21841105818748474},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.06714627146720886}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7507178783416748},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.7052841782569885},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.6703474521636963},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6681166887283325},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6370863318443298},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6339735984802246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5490524768829346},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4946381747722626},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4609215259552002},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.44802555441856384},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3861425220966339},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36169761419296265},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21841105818748474},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.06714627146720886},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvprw.2015.7301392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2015.7301392","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 Workshops (CVPRW)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.696.1147","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.696.1147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ecse.rpi.edu/%7Erjradke/papers/karanam-msf15.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W42769906","https://openalex.org/W199203893","https://openalex.org/W760855798","https://openalex.org/W1484081748","https://openalex.org/W1518138188","https://openalex.org/W1596233070","https://openalex.org/W1610824330","https://openalex.org/W1968269581","https://openalex.org/W1979260620","https://openalex.org/W1980222719","https://openalex.org/W1981423297","https://openalex.org/W1991452654","https://openalex.org/W2002658919","https://openalex.org/W2009907187","https://openalex.org/W2018507448","https://openalex.org/W2046835352","https://openalex.org/W2048110836","https://openalex.org/W2056758595","https://openalex.org/W2088790954","https://openalex.org/W2089074647","https://openalex.org/W2093922090","https://openalex.org/W2098807270","https://openalex.org/W2102674365","https://openalex.org/W2114217318","https://openalex.org/W2129812935","https://openalex.org/W2134471003","https://openalex.org/W2147276092","https://openalex.org/W2154872931","https://openalex.org/W2156601854","https://openalex.org/W2169579681","https://openalex.org/W2183648259","https://openalex.org/W2986028972","https://openalex.org/W4244806533","https://openalex.org/W6608154983","https://openalex.org/W6622321702","https://openalex.org/W6628966920","https://openalex.org/W6631178364","https://openalex.org/W6642378123","https://openalex.org/W6645211314","https://openalex.org/W6652542633","https://openalex.org/W6654949406","https://openalex.org/W6672700378","https://openalex.org/W6679478128","https://openalex.org/W6682644385","https://openalex.org/W6685141140","https://openalex.org/W6686234685"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2183306018","https://openalex.org/W2549990292","https://openalex.org/W2345479200","https://openalex.org/W2951819827","https://openalex.org/W2849310602","https://openalex.org/W2419146053","https://openalex.org/W2088247287","https://openalex.org/W3006008237","https://openalex.org/W2033433656"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,24,40,51],"novel":[4],"approach":[5,70],"to":[6],"solve":[7,57],"the":[8,20,30,34,47,58,63,72,89,93],"problem":[9,49,55,61],"of":[10,23,33,92],"person":[11],"re-identification":[12,48,80],"in":[13,29,39,86],"non-overlapping":[14],"camera":[15],"views.":[16],"We":[17,44,67],"hypothesize":[18],"that":[19],"feature":[21,37],"vector":[22],"probe":[25],"image":[26],"approximately":[27],"lies":[28],"linear":[31],"span":[32],"corresponding":[35],"gallery":[36],"vectors":[38],"learned":[41],"embedding":[42],"space.":[43],"then":[45],"formulate":[46],"as":[50],"block":[52],"sparse":[53],"recovery":[54],"and":[56,77,82],"associated":[59],"optimization":[60],"using":[62],"alternating":[64],"directions":[65],"framework.":[66],"evaluate":[68],"our":[69],"on":[71],"publicly":[73],"available":[74],"PRID":[75],"2011":[76],"iLIDS-VID":[78],"multi-shot":[79],"datasets":[81],"demonstrate":[83],"superior":[84],"performance":[85],"comparison":[87],"with":[88],"current":[90],"state":[91],"art.":[94]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":23},{"year":2016,"cited_by_count":10}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
