{"id":"https://openalex.org/W2120824855","doi":"https://doi.org/10.1109/cvpr.2012.6247930","title":"Semi-coupled dictionary learning with applications to image super-resolution and photo-sketch synthesis","display_name":"Semi-coupled dictionary learning with applications to image super-resolution and photo-sketch synthesis","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2120824855","doi":"https://doi.org/10.1109/cvpr.2012.6247930","mag":"2120824855"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2012.6247930","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247930","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","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/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]},{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["CN","HK"],"is_corresponding":true,"raw_author_name":"Shenlong Wang","raw_affiliation_strings":["Hong Kong Polytechnic University, Hong Kong, China","Northwestern Polytechnical University, China"],"affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Northwestern Polytechnical University, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100433899","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-2078-4215"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Hong Kong Polytechnic University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100772253","display_name":"Liang Yan","orcid":"https://orcid.org/0000-0001-9099-240X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Liang","raw_affiliation_strings":["Northwestern Polytechnical University, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108517562","display_name":"Quan Pan","orcid":"https://orcid.org/0000-0001-8162-2896"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Pan","raw_affiliation_strings":["Northwestern Polytechnical University, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5022810135"],"corresponding_institution_ids":["https://openalex.org/I14243506","https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":35.8056,"has_fulltext":false,"cited_by_count":540,"citation_normalized_percentile":{"value":0.99833168,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2216","last_page":"2223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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/T11105","display_name":"Advanced Image Processing Techniques","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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/computer-science","display_name":"Computer science","score":0.7572802305221558},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.7089569568634033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6685436964035034},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5752949118614197},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5116587281227112},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5056257247924805},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.501136064529419},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.4901464879512787},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47474342584609985},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46586015820503235},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42894691228866577},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22841861844062805}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7572802305221558},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.7089569568634033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6685436964035034},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5752949118614197},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5116587281227112},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5056257247924805},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.501136064529419},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4901464879512787},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47474342584609985},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46586015820503235},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42894691228866577},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22841861844062805},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2012.6247930","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247930","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.232.263","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.232.263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www4.comp.polyu.edu.hk/%7Ecslzhang/paper/conf/SCDL_CVPR12.pdf","raw_type":"text"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/9466","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/9466","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1967441049","https://openalex.org/W1999360130","https://openalex.org/W2005876975","https://openalex.org/W2030899956","https://openalex.org/W2032768707","https://openalex.org/W2056370875","https://openalex.org/W2063978378","https://openalex.org/W2077646121","https://openalex.org/W2097073572","https://openalex.org/W2097074225","https://openalex.org/W2100556411","https://openalex.org/W2103106600","https://openalex.org/W2114122776","https://openalex.org/W2117865218","https://openalex.org/W2121058967","https://openalex.org/W2121604810","https://openalex.org/W2124378283","https://openalex.org/W2128638419","https://openalex.org/W2141631520","https://openalex.org/W2142051460","https://openalex.org/W2151452149","https://openalex.org/W2153288431","https://openalex.org/W2153663612","https://openalex.org/W2154671648","https://openalex.org/W2157038204","https://openalex.org/W2157494358","https://openalex.org/W2160547390","https://openalex.org/W2172128189","https://openalex.org/W2292976057","https://openalex.org/W2536599074","https://openalex.org/W2953139536","https://openalex.org/W3104720471","https://openalex.org/W4237310896","https://openalex.org/W4237705679","https://openalex.org/W6642029968","https://openalex.org/W6650146654","https://openalex.org/W6677973867","https://openalex.org/W6678217695","https://openalex.org/W6678757208","https://openalex.org/W6681106363","https://openalex.org/W6682686421","https://openalex.org/W6682850959","https://openalex.org/W6683601012"],"related_works":["https://openalex.org/W2045049461","https://openalex.org/W1978893398","https://openalex.org/W2201908702","https://openalex.org/W4381094582","https://openalex.org/W2369625323","https://openalex.org/W2364579609","https://openalex.org/W1977906818","https://openalex.org/W2378994405","https://openalex.org/W2385974820","https://openalex.org/W1522139108"],"abstract_inverted_index":{"In":[0,108],"various":[1],"computer":[2],"vision":[3],"applications,":[4],"often":[5],"we":[6],"need":[7],"to":[8,31,58,125,143,155],"convert":[9,37],"an":[10,130],"image":[11,30,62,138,156,172],"in":[12,55,170],"one":[13],"style":[14,17],"into":[15,41],"another":[16],"for":[18,24,44,129],"better":[19],"visualization,":[20],"interpretation":[21],"and":[22,36,71,118,137,158,161,168],"recognition;":[23],"examples,":[25],"up-convert":[26],"a":[27,32,38,42,67,72],"low":[28],"resolution":[29,34],"high":[33],"one,":[35],"face":[39],"sketch":[40],"photo":[43],"matching,":[45],"etc.":[46],"A":[47],"semi-coupled":[48],"dictionary":[49,80],"learning":[50],"(SCDL)":[51],"model":[52,152],"is":[53,153],"proposed":[54,150],"this":[56],"paper":[57],"solve":[59],"such":[60],"cross-style":[61,171],"synthesis":[63],"problems.":[64],"Under":[65],"SCDL,":[66,109],"pair":[68,81],"of":[69,88,92,147],"dictionaries":[70,112],"mapping":[73,96,127],"function":[74,97,128],"will":[75,113],"be":[76,115,123],"simultaneously":[77],"learned.":[78],"The":[79,149],"can":[82,98,122],"well":[83],"characterize":[84],"the":[85,89,95,100,104,110,126,145,162],"structural":[86],"domains":[87],"two":[90,105,111],"styles":[91],"images,":[93],"while":[94],"reveal":[99],"intrinsic":[101],"relationship":[102],"between":[103],"styles'":[106],"domains.":[107],"not":[114],"fully":[116],"coupled,":[117],"hence":[119],"much":[120],"flexibility":[121],"given":[124],"accurate":[131],"conversion":[132],"across":[133],"styles.":[134],"Moreover,":[135],"clustering":[136],"nonlocal":[139],"redundancy":[140],"are":[141],"introduced":[142],"enhance":[144],"robustness":[146],"SCDL.":[148],"SCDL":[151],"applied":[154],"super-resolution":[157],"photo-sketch":[159],"synthesis,":[160],"experimental":[163],"results":[164],"validated":[165],"its":[166],"generality":[167],"effectiveness":[169],"synthesis.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":29},{"year":2020,"cited_by_count":47},{"year":2019,"cited_by_count":68},{"year":2018,"cited_by_count":71},{"year":2017,"cited_by_count":85},{"year":2016,"cited_by_count":75},{"year":2015,"cited_by_count":63},{"year":2014,"cited_by_count":43},{"year":2013,"cited_by_count":21},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}