{"id":"https://openalex.org/W2890587545","doi":"https://doi.org/10.1109/icip.2018.8451535","title":"Coarse to Fine Training for Low-Resolution Heterogeneous Face Recognition","display_name":"Coarse to Fine Training for Low-Resolution Heterogeneous Face Recognition","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2890587545","doi":"https://doi.org/10.1109/icip.2018.8451535","mag":"2890587545"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451535","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","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/A5005976387","display_name":"Sivaram Prasad Mudunuri","orcid":"https://orcid.org/0000-0001-7388-0975"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sivaram Prasad Mudunuri","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Science, Bangalore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science, Bangalore","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055091440","display_name":"Soma Biswas","orcid":"https://orcid.org/0000-0002-9068-7023"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Soma Biswas","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Science, Bangalore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science, Bangalore","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09600324,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2421","last_page":"2425"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9995999932289124,"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/T11448","display_name":"Face recognition and analysis","score":0.9995999932289124,"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":0.9979000091552734,"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":0.9973000288009644,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8306356072425842},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7192440032958984},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7082746028900146},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.6498075723648071},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.64736008644104},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6067394614219666},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5870198011398315},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5711098313331604},{"id":"https://openalex.org/keywords/low-resolution","display_name":"Low resolution","score":0.5236296653747559},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.50332111120224},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4856783151626587},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4651058614253998},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.42633792757987976},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.34693899750709534},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17428386211395264},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.1492878794670105},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09072795510292053}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8306356072425842},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7192440032958984},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7082746028900146},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.6498075723648071},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.64736008644104},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6067394614219666},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5870198011398315},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5711098313331604},{"id":"https://openalex.org/C3019883945","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Low resolution","level":3,"score":0.5236296653747559},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.50332111120224},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4856783151626587},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4651058614253998},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.42633792757987976},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.34693899750709534},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17428386211395264},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.1492878794670105},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09072795510292053},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2018.8451535","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.iisc.ac.in:61607","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401429","display_name":"ePrints@IISc (Indian Institute of Science)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59270414","host_organization_name":"Indian Institute of Science Bangalore","host_organization_lineage":["https://openalex.org/I59270414"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W652269744","https://openalex.org/W1425104224","https://openalex.org/W1531883353","https://openalex.org/W1949591461","https://openalex.org/W1998594584","https://openalex.org/W2044316272","https://openalex.org/W2046365451","https://openalex.org/W2047186200","https://openalex.org/W2055492845","https://openalex.org/W2068042582","https://openalex.org/W2071207147","https://openalex.org/W2085810284","https://openalex.org/W2095018859","https://openalex.org/W2109741874","https://openalex.org/W2111233654","https://openalex.org/W2120824855","https://openalex.org/W2133131023","https://openalex.org/W2136995369","https://openalex.org/W2137201712","https://openalex.org/W2151103935","https://openalex.org/W2155797815","https://openalex.org/W2156222070","https://openalex.org/W2163352848","https://openalex.org/W2325939864","https://openalex.org/W2471263426","https://openalex.org/W2486581245","https://openalex.org/W2508499722","https://openalex.org/W2551624499","https://openalex.org/W2561486006","https://openalex.org/W2588330143","https://openalex.org/W2607041014","https://openalex.org/W2613826641","https://openalex.org/W2617586438","https://openalex.org/W2620727906","https://openalex.org/W2754610478","https://openalex.org/W2801068763","https://openalex.org/W2949583171","https://openalex.org/W6661767761","https://openalex.org/W6674172652","https://openalex.org/W6676853632","https://openalex.org/W6678025836","https://openalex.org/W6683120131","https://openalex.org/W6738631085","https://openalex.org/W6750796505"],"related_works":["https://openalex.org/W4296995023","https://openalex.org/W2070173637","https://openalex.org/W3118545013","https://openalex.org/W2133155333","https://openalex.org/W1516116847","https://openalex.org/W2412281349","https://openalex.org/W4212954839","https://openalex.org/W4241811109","https://openalex.org/W4401570279","https://openalex.org/W3169440385"],"abstract_inverted_index":{"Recently,":[0],"near-infrared":[1],"(NIR)":[2],"images":[3,11,55,62,73,91,104],"are":[4,92,109,117],"being":[5],"increasingly":[6],"used":[7,155],"for":[8,156,163],"recognizing":[9],"facial":[10],"across":[12,165],"illumination":[13],"variations":[14],"and":[15,71,81,112,133,152,161],"in":[16,30,65,76],"low-light":[17],"conditions.":[18],"In":[19,40],"surveillance":[20],"scenarios,":[21],"the":[22,45,66,69,90,103,106,138,141,148,174],"captured":[23],"NIR":[24,54,132],"may":[25],"have":[26],"low-resolution":[27,51],"which":[28,126],"results":[29],"significant":[31],"loss":[32],"of":[33,48,78,105,114,140,176],"discriminative":[34],"information":[35],"along":[36],"with":[37,56],"uncontrolled":[38,53],"pose.":[39,166],"this":[41],"work,":[42],"we":[43,84],"address":[44],"challenging":[46],"task":[47],"matching":[49,164],"these":[50],"(LR)":[52],"high-resolution":[57],"(HR)":[58],"controlled":[59],"visible":[60],"(VIS)":[61],"usually":[63],"present":[64],"database.":[67],"Since":[68],"probe":[70],"gallery":[72],"differ":[74],"significantly":[75],"terms":[77],"pose,":[79],"resolution":[80],"spectral":[82],"properties,":[83],"employ":[85],"a":[86,95],"two-stage":[87],"approach.":[88,178],"First,":[89],"transformed":[93],"into":[94],"common":[96],"space":[97],"using":[98],"metric":[99],"learning":[100],"such":[101],"that":[102,147],"same":[107],"subject":[108],"pushed":[110,118],"closer":[111],"those":[113],"different":[115],"subjects":[116],"apart.":[119],"We":[120,145],"then":[121],"define":[122],"an":[123],"objective":[124],"function":[125],"can":[127,153],"simultaneously":[128],"push":[129],"both":[130],"LR":[131],"HR":[134,142],"VIS":[135,143],"samples":[136],"towards":[137],"centroids":[139],"samples.":[144],"show":[146],"approach":[149],"is":[150],"general":[151],"be":[154],"other":[157],"data":[158],"like":[159],"RGB-D":[160],"also":[162],"Extensive":[167],"experiments":[168],"conducted":[169],"on":[170],"five":[171],"datasets":[172],"shows":[173],"effectiveness":[175],"our":[177]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
