{"id":"https://openalex.org/W2602350250","doi":"https://doi.org/10.1109/icassp.2017.7952353","title":"Color channel-wise recurrent learning for facial expression recognition","display_name":"Color channel-wise recurrent learning for facial expression recognition","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2602350250","doi":"https://doi.org/10.1109/icassp.2017.7952353","mag":"2602350250"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7952353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5102851771","display_name":"Jinhyeok Jang","orcid":"https://orcid.org/0009-0007-8511-446X"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jinhyeok Jang","raw_affiliation_strings":["Image and Video Systems Lab, KAIST, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image and Video Systems Lab, KAIST, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055987476","display_name":"Dae Hoe Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dae Hoe Kim","raw_affiliation_strings":["Image and Video Systems Lab, KAIST, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image and Video Systems Lab, KAIST, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038009350","display_name":"Hyung-Il Kim","orcid":"https://orcid.org/0000-0001-6425-549X"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyung-Il Kim","raw_affiliation_strings":["Image and Video Systems Lab, KAIST, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image and Video Systems Lab, KAIST, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038798134","display_name":"Yong Man Ro","orcid":"https://orcid.org/0000-0001-5306-6853"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yong Man Ro","raw_affiliation_strings":["Image and Video Systems Lab, KAIST, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image and Video Systems Lab, KAIST, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102851771"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":0.462,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71976143,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1233","last_page":"1237"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9936000108718872,"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/T10057","display_name":"Face and Expression Recognition","score":0.9936000108718872,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12496","display_name":"Color perception and design","score":0.9700999855995178,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.7087725400924683},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6715904474258423},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5749737620353699},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5670359134674072},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.47610151767730713},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43435513973236084},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.410772442817688},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.40129363536834717},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3676697313785553},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.36441922187805176},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1334177553653717}],"concepts":[{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.7087725400924683},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6715904474258423},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5749737620353699},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5670359134674072},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.47610151767730713},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43435513973236084},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.410772442817688},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.40129363536834717},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3676697313785553},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.36441922187805176},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1334177553653717},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2017.7952353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.75}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1185138977","https://openalex.org/W1507540863","https://openalex.org/W1984389259","https://openalex.org/W1990207480","https://openalex.org/W2004197686","https://openalex.org/W2021312903","https://openalex.org/W2053432263","https://openalex.org/W2058917167","https://openalex.org/W2064675550","https://openalex.org/W2079712593","https://openalex.org/W2112724657","https://openalex.org/W2129812935","https://openalex.org/W2162418306","https://openalex.org/W2187089797","https://openalex.org/W2246249023","https://openalex.org/W2325897530","https://openalex.org/W2344924411","https://openalex.org/W2402848971","https://openalex.org/W2912990735","https://openalex.org/W2963716836","https://openalex.org/W3098057481","https://openalex.org/W6627828623","https://openalex.org/W6685265622"],"related_works":["https://openalex.org/W1591965711","https://openalex.org/W2604307586","https://openalex.org/W1560999061","https://openalex.org/W2050899973","https://openalex.org/W3194078543","https://openalex.org/W1591194399","https://openalex.org/W3000095492","https://openalex.org/W1982770690","https://openalex.org/W2799893153","https://openalex.org/W3018375584"],"abstract_inverted_index":{"Facial":[0],"expression":[1,17,47,58],"recognition":[2,18,96],"is":[3,19],"increasingly":[4],"gaining":[5],"importance":[6],"in":[7],"emerging":[8],"affective":[9],"computing":[10],"applications.":[11],"In":[12,26],"practice,":[13],"achieving":[14],"accurate":[15],"facial":[16,35],"still":[20],"challenging":[21],"due":[22],"to":[23,45,99],"environmental":[24],"variations.":[25,86],"this":[27],"paper,":[28],"we":[29],"propose":[30],"a":[31,61],"color":[32,51,69],"channel-wise":[33],"recurrent":[34,42],"feature":[36,59],"learning.":[37],"The":[38,53],"proposed":[39,54,92],"method":[40,93],"adopts":[41],"neural":[43],"network":[44,55],"learn":[46],"features":[48],"sequentially":[49],"along":[50],"channels.":[52],"preserves":[56],"discriminative":[57],"through":[60],"long":[62],"short-term":[63],"memory":[64],"for":[65],"the":[66,78,91,100],"sequence":[67],"of":[68],"spatial":[70],"features.":[71],"Comprehensive":[72],"experiments":[73],"have":[74],"been":[75],"conducted":[76],"on":[77],"publically":[79],"available":[80],"CMU":[81],"Multi-PIE":[82],"dataset":[83],"under":[84],"illumination":[85],"Experimental":[87],"results":[88],"showed":[89],"that":[90],"achieved":[94],"higher":[95],"rates":[97],"compared":[98],"state-of-the-art":[101],"methods.":[102]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}