{"id":"https://openalex.org/W1943935350","doi":"https://doi.org/10.1109/cvpr.2015.7299141","title":"Label Consistent Quadratic Surrogate model for visual saliency prediction","display_name":"Label Consistent Quadratic Surrogate model for visual saliency prediction","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1943935350","doi":"https://doi.org/10.1109/cvpr.2015.7299141","mag":"1943935350"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7299141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7299141","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/A5055879357","display_name":"Yan Luo","orcid":"https://orcid.org/0000-0001-5135-0316"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Yan Luo","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore","[Dept. of Electrical and Computer Engineering, National University of Singapore, Singapore.]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"[Dept. of Electrical and Computer Engineering, National University of Singapore, Singapore.]","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020006712","display_name":"Yongkang Wong","orcid":"https://orcid.org/0000-0002-1239-4428"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yongkang Wong","raw_affiliation_strings":["Interactive & Digital Media Institute, National University of Singapore","Interactive & Digital Media Institute, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Interactive & Digital Media Institute, National University of Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"Interactive & Digital Media Institute, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047419128","display_name":"Qi Zhao","orcid":"https://orcid.org/0000-0003-3054-8934"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Qi Zhao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore","[Dept. of Electrical and Computer Engineering, National University of Singapore, Singapore.]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"[Dept. of Electrical and Computer Engineering, National University of Singapore, Singapore.]","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055879357"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":0.5615,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74229563,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6314","issue":null,"first_page":"5060","last_page":"5069"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11605","display_name":"Visual Attention and Saliency Detection","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/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9921000003814697,"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/discriminative-model","display_name":"Discriminative model","score":0.7824692130088806},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.776108980178833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6834530830383301},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5987723469734192},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5978151559829712},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49083003401756287},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.45523858070373535},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43002113699913025},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14826133847236633}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7824692130088806},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.776108980178833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6834530830383301},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5987723469734192},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5978151559829712},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49083003401756287},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.45523858070373535},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43002113699913025},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14826133847236633},{"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.2015.7299141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7299141","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:CiteSeerX.psu:10.1.1.722.4632","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.722.4632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.ece.nus.edu.sg/stfpage/eleqiz/publications/pdf/online_saliency_cvpr15.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1497599070","https://openalex.org/W1510835000","https://openalex.org/W1540330701","https://openalex.org/W1572771420","https://openalex.org/W1963932623","https://openalex.org/W1966261683","https://openalex.org/W2001538864","https://openalex.org/W2005490094","https://openalex.org/W2007571554","https://openalex.org/W2037328649","https://openalex.org/W2040253108","https://openalex.org/W2055111849","https://openalex.org/W2063608179","https://openalex.org/W2063978378","https://openalex.org/W2084716923","https://openalex.org/W2099987538","https://openalex.org/W2104554891","https://openalex.org/W2112447569","https://openalex.org/W2113606819","https://openalex.org/W2117301471","https://openalex.org/W2119228922","https://openalex.org/W2126561871","https://openalex.org/W2128272608","https://openalex.org/W2129865252","https://openalex.org/W2130184867","https://openalex.org/W2133589685","https://openalex.org/W2135957164","https://openalex.org/W2138046011","https://openalex.org/W2144764737","https://openalex.org/W2146502635","https://openalex.org/W2150621701","https://openalex.org/W2151380595","https://openalex.org/W2151900481","https://openalex.org/W2157381954","https://openalex.org/W2158983298","https://openalex.org/W2160547390","https://openalex.org/W2161502316","https://openalex.org/W2161969291","https://openalex.org/W2164084182","https://openalex.org/W2168356304","https://openalex.org/W2567948266","https://openalex.org/W6634275188","https://openalex.org/W6675682377","https://openalex.org/W6676727762","https://openalex.org/W6676903177","https://openalex.org/W6678823638","https://openalex.org/W6680437723","https://openalex.org/W6681435938","https://openalex.org/W6682477108"],"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/W2761785940","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W2521627374"],"abstract_inverted_index":{"Recently,":[0],"an":[1,171],"increasing":[2],"number":[3],"of":[4,19,45,88,186],"works":[5],"have":[6],"proposed":[7,156,188,222,239],"to":[8,49,103,112,134,141,175,212,224],"learn":[9,176],"visual":[10],"saliency":[11,64,161,240,248],"by":[12],"leveraging":[13],"human":[14,20],"fixations.":[15],"However,":[16],"the":[17,26,50,61,74,105,114,130,143,187,193,203,208,217,221,238,246],"collection":[18],"fixations":[21],"is":[22,81,101],"time":[23,133],"consuming":[24],"and":[25,71,77,116,127,215],"existing":[27,226],"eye":[28],"tracking":[29],"datasets":[30,124],"are":[31,69,125,149,190],"generally":[32],"small":[33],"when":[34,146],"compared":[35],"with":[36,180,228],"other":[37],"domains.":[38],"Thus,":[39],"it":[40,100,136],"contains":[41],"a":[42,84,157,177],"certain":[43],"degree":[44],"dataset":[46,76,79,95,98,111],"bias":[47],"due":[48],"large":[51],"image":[52],"variations":[53],"(e.g.,":[54],"outdoor":[55],"scenes":[56],"vs.":[57],"emotion-evoking":[58],"images).":[59],"In":[60,120],"learning":[62,159],"based":[63,160],"prediction":[65,117],"literature,":[66],"most":[67],"models":[68],"trained":[70],"evaluated":[72],"within":[73],"same":[75],"cross":[78,97],"validation":[80],"not":[82,140],"yet":[83],"common":[85],"practice.":[86],"Instead":[87],"directly":[89],"applying":[90],"model":[91,145,189,227,241],"learned":[92],"from":[93,109,132],"another":[94],"in":[96,129,235],"fashion,":[99],"better":[102,243],"transfer":[104],"prior":[106],"knowledge":[107],"obtained":[108],"one":[110],"improve":[113],"training":[115],"on":[118],"another.":[119],"addition,":[121],"since":[122],"new":[123,147,158,229],"built":[126],"shared":[128],"community":[131],"time,":[135],"would":[137],"be":[138,213],"good":[139],"retrain":[142],"entire":[144],"data":[148,230],"added.":[150],"To":[151],"address":[152],"these":[153],"problems,":[154],"we":[155],"model,":[162],"namely":[163],"Label":[164],"Consistent":[165],"Quadratic":[166],"Surrogate":[167],"algorithm,":[168],"which":[169],"employs":[170],"iterative":[172],"online":[173,218],"algorithm":[174,223],"sparse":[178,210],"dictionary":[179],"label":[181,204],"consistent":[182,205],"constraint.":[183],"The":[184],"advantages":[185],"three-folds:":[191],"(1)":[192],"quadratic":[194],"surrogate":[195],"function":[196],"guarantees":[197],"convergence":[198],"at":[199],"each":[200],"iteration,":[201],"(2)":[202],"constraint":[206],"enforces":[207],"predicted":[209],"code":[211],"discriminative,":[214],"(3)":[216],"properties":[219],"enable":[220],"adapt":[225],"without":[231],"retraining.":[232],"As":[233],"shown":[234],"this":[236],"work,":[237],"achieves":[242],"performance":[244],"than":[245],"state-of-the-art":[247],"models.":[249]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
