{"id":"https://openalex.org/W3028442630","doi":"https://doi.org/10.1109/lsp.2020.2996429","title":"Occluded Thermal Face Recognition Using Bag of CNN ($Bo$CNN)","display_name":"Occluded Thermal Face Recognition Using Bag of CNN ($Bo$CNN)","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3028442630","doi":"https://doi.org/10.1109/lsp.2020.2996429","mag":"3028442630"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2020.2996429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.2996429","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-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/A5005088304","display_name":"Sumit Kumar","orcid":"https://orcid.org/0000-0001-5441-1671"},"institutions":[{"id":"https://openalex.org/I26072440","display_name":"Indian Institute of Information Technology Allahabad","ror":"https://ror.org/03rgjt374","country_code":"IN","type":"education","lineage":["https://openalex.org/I26072440"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sumit Kumar","raw_affiliation_strings":["Indian Institute of Information Technology Allahabad, Allahabad, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology Allahabad, Allahabad, India","institution_ids":["https://openalex.org/I26072440"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071107603","display_name":"Satish Kumar Singh","orcid":"https://orcid.org/0000-0002-8536-4991"},"institutions":[{"id":"https://openalex.org/I26072440","display_name":"Indian Institute of Information Technology Allahabad","ror":"https://ror.org/03rgjt374","country_code":"IN","type":"education","lineage":["https://openalex.org/I26072440"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Satish Kumar Singh","raw_affiliation_strings":["Indian Institute of Information Technology Allahabad, Allahabad, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology Allahabad, Allahabad, India","institution_ids":["https://openalex.org/I26072440"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005088304"],"corresponding_institution_ids":["https://openalex.org/I26072440"],"apc_list":null,"apc_paid":null,"fwci":2.5402,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.91211266,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"27","issue":null,"first_page":"975","last_page":"979"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","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/T11448","display_name":"Face recognition and analysis","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/T10057","display_name":"Face and Expression Recognition","score":0.9991999864578247,"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":0.9977999925613403,"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/computer-science","display_name":"Computer science","score":0.7865548133850098},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6940451264381409},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.688744068145752},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6643542051315308},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5817867517471313},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5078878998756409},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.49962615966796875},{"id":"https://openalex.org/keywords/occlusion","display_name":"Occlusion","score":0.47858166694641113},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4571393132209778},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.44366398453712463},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.42980116605758667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7865548133850098},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6940451264381409},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.688744068145752},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6643542051315308},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5817867517471313},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5078878998756409},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.49962615966796875},{"id":"https://openalex.org/C2776268601","wikidata":"https://www.wikidata.org/wiki/Q968808","display_name":"Occlusion","level":2,"score":0.47858166694641113},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4571393132209778},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.44366398453712463},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.42980116605758667},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2020.2996429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.2996429","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1529297639","https://openalex.org/W1597716817","https://openalex.org/W1686810756","https://openalex.org/W2005360016","https://openalex.org/W2059652177","https://openalex.org/W2066322905","https://openalex.org/W2097777575","https://openalex.org/W2122519597","https://openalex.org/W2127846810","https://openalex.org/W2129316059","https://openalex.org/W2140355387","https://openalex.org/W2152516042","https://openalex.org/W2161969291","https://openalex.org/W2163808566","https://openalex.org/W2166167289","https://openalex.org/W2171982656","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2341528187","https://openalex.org/W2482241782","https://openalex.org/W2511925907","https://openalex.org/W2542551225","https://openalex.org/W2561648494","https://openalex.org/W2739260663","https://openalex.org/W2770595689","https://openalex.org/W2790014644","https://openalex.org/W2792027052","https://openalex.org/W2792196801","https://openalex.org/W2798101467","https://openalex.org/W2808490050","https://openalex.org/W2904483377","https://openalex.org/W2910805736","https://openalex.org/W2964247301","https://openalex.org/W2964350391","https://openalex.org/W3101998545","https://openalex.org/W4232441460","https://openalex.org/W6637373629","https://openalex.org/W6721988990"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W3183901164","https://openalex.org/W3135818718","https://openalex.org/W4290188444","https://openalex.org/W3176438653","https://openalex.org/W3167935049","https://openalex.org/W3003905048","https://openalex.org/W2253429366","https://openalex.org/W3127975138","https://openalex.org/W3213119959"],"abstract_inverted_index":{"In":[0],"this":[1],"letter,":[2],"we":[3],"are":[4],"proposing":[5],"BoCNN":[6],"architecture":[7],"framework":[8],"for":[9,29,50],"occluded":[10],"thermal":[11,30],"face":[12],"recognition.":[13],"We":[14,39],"analyzed":[15],"the":[16,51,55,59,64,74],"performance":[17,35,52],"of":[18,54,73],"Pretrained":[19],"models":[20],"using":[21],"transfer":[22,48],"learning":[23,49],"and":[24],"they":[25],"exhibit":[26],"promising":[27],"results":[28,69],"faces":[31],"without":[32],"occlusion.":[33,38],"The":[34],"degrades":[36],"with":[37],"have":[40],"used":[41,62],"different":[42],"decision":[43],"level":[44],"fusion":[45,60],"strategies":[46,61],"post":[47],"enhancement":[53],"pretrained":[56],"models.":[57],"All":[58],"in":[63],"proposed":[65],"work":[66],"give":[67],"better":[68],"compared":[70],"to":[71],"any":[72],"single":[75],"CNN":[76],"architecture.":[77]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}