{"id":"https://openalex.org/W4404037730","doi":"https://doi.org/10.1109/mlsp58920.2024.10734789","title":"Enhanced Feature Extraction and Attention Mechanisms for Micro-Expression Recognition","display_name":"Enhanced Feature Extraction and Attention Mechanisms for Micro-Expression Recognition","publication_year":2024,"publication_date":"2024-09-22","ids":{"openalex":"https://openalex.org/W4404037730","doi":"https://doi.org/10.1109/mlsp58920.2024.10734789"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp58920.2024.10734789","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp58920.2024.10734789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5109790653","display_name":"Chun-Ting Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chun-Ting Fang","raw_affiliation_strings":["National Chung Hsing University,Department of Electrical Engineering and Graduate Institute of Communication Engineering,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Chung Hsing University,Department of Electrical Engineering and Graduate Institute of Communication Engineering,Taiwan","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003284413","display_name":"Tsung-Jung Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tsung-Jung Liu","raw_affiliation_strings":["National Chung Hsing University,Department of Electrical Engineering and Graduate Institute of Communication Engineering,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Chung Hsing University,Department of Electrical Engineering and Graduate Institute of Communication Engineering,Taiwan","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036481579","display_name":"Kuan-Hsien Liu","orcid":"https://orcid.org/0000-0002-1411-2113"},"institutions":[{"id":"https://openalex.org/I131948415","display_name":"National Taichung University of Science and Technology","ror":"https://ror.org/05bgcav40","country_code":"TW","type":"education","lineage":["https://openalex.org/I131948415"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuan-Hsien Liu","raw_affiliation_strings":["National Taichung University of Science and Technology,Department of Computer Science and Information Engineering,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taichung University of Science and Technology,Department of Computer Science and Information Engineering,Taiwan","institution_ids":["https://openalex.org/I131948415"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.7627999782562256,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.7627999782562256,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.6547999978065491,"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"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.6453999876976013,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6728125810623169},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6298115253448486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47932660579681396},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46658235788345337},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4358011484146118},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.4321829676628113}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6728125810623169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6298115253448486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47932660579681396},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46658235788345337},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4358011484146118},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.4321829676628113},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp58920.2024.10734789","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp58920.2024.10734789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G360223495","display_name":null,"funder_award_id":"113-2221-E-005-073","funder_id":"https://openalex.org/F2461203286","funder_display_name":"National Science and Technology Council"}],"funders":[{"id":"https://openalex.org/F2461203286","display_name":"National Science and Technology Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2006426145","https://openalex.org/W2044106642","https://openalex.org/W2102323107","https://openalex.org/W2139916508","https://openalex.org/W2163833659","https://openalex.org/W2426188534","https://openalex.org/W2478411578","https://openalex.org/W2907363676","https://openalex.org/W2911617386","https://openalex.org/W2940027585","https://openalex.org/W2959639774","https://openalex.org/W2959679536","https://openalex.org/W2963230974","https://openalex.org/W2966700347","https://openalex.org/W3098002894","https://openalex.org/W3182710365","https://openalex.org/W3195543922","https://openalex.org/W3205619658","https://openalex.org/W4280528148","https://openalex.org/W4283372964","https://openalex.org/W4289752563","https://openalex.org/W4296050207","https://openalex.org/W4309342505","https://openalex.org/W4310537778","https://openalex.org/W4386598295","https://openalex.org/W4386617953","https://openalex.org/W4387869523","https://openalex.org/W4387869565","https://openalex.org/W4391331275","https://openalex.org/W6634856860"],"related_works":["https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2049538278"],"abstract_inverted_index":{"Micro-expressions":[0],"refer":[1],"to":[2],"subtle":[3],"changes":[4],"in":[5,12],"expressions":[6],"that":[7,99],"are":[8,118],"displayed":[9],"by":[10],"humans":[11],"a":[13,20,38],"very":[14],"short":[15],"period":[16],"of":[17,22,47,79],"time.":[18],"As":[19],"form":[21],"non-verbal":[23],"emotional":[24],"expression,":[25],"micro-expressions":[26],"can":[27,102],"more":[28],"accurately":[29],"reflect":[30],"an":[31],"individual's":[32],"true":[33],"inner":[34],"feelings.":[35],"We":[36,65,82],"propose":[37],"shallow":[39],"dual-branch":[40],"3D-CNN":[41],"architecture":[42],"for":[43,75],"the":[44,55,60,76],"first":[45],"stage":[46,78],"feature":[48,80],"extraction.":[49,81],"Additionally,":[50],"we":[51],"enhance":[52],"and":[53,71,91,110,115],"optimize":[54],"channel":[56],"attention":[57,63],"module":[58],"within":[59],"convolutional":[61],"block":[62],"module.":[64],"then":[66],"employ":[67],"Gated":[68],"Recurrent":[69],"Unit":[70],"Multi-Scale":[72],"Multi-Head":[73],"Self-Attention":[74],"second":[77],"tested":[83],"our":[84,100],"model":[85],"on":[86],"3":[87],"different":[88],"micro-expression":[89],"databases":[90],"obtained":[92],"competitive":[93],"results.":[94],"Numerous":[95],"experimental":[96],"results":[97],"show":[98],"method":[101],"achieve":[103],"good":[104],"performance":[105],"with":[106],"relatively":[107],"simple":[108],"input":[109],"architecture.":[111],"The":[112],"source":[113],"code":[114],"pretrained":[116],"models":[117],"available":[119],"at":[120],"https://github.com/dannyFan-0201/MLSP_2024.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}