{"id":"https://openalex.org/W4414210614","doi":"https://doi.org/10.1145/3765901","title":"Micro-Expression Recognition via Fine-Grained Dynamic Perception","display_name":"Micro-Expression Recognition via Fine-Grained Dynamic Perception","publication_year":2025,"publication_date":"2025-09-09","ids":{"openalex":"https://openalex.org/W4414210614","doi":"https://doi.org/10.1145/3765901"},"language":"en","primary_location":{"id":"doi:10.1145/3765901","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3765901","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2509.06015","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081933126","display_name":"Zhiwen Shao","orcid":"https://orcid.org/0000-0002-9383-8384"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Zhiwen Shao","raw_affiliation_strings":["School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China, Mine Digitization Engineering Research Center of the Ministry of Education, Xuzhou, China, and Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China","School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China, and Mine Digitization Engineering Research Center of the Ministry of Education, Xuzhou, China, and also Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-9383-8384","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China, Mine Digitization Engineering Research Center of the Ministry of Education, Xuzhou, China, and Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I25757504","https://openalex.org/I889458895"]},{"raw_affiliation_string":"School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China, and Mine Digitization Engineering Research Center of the Ministry of Education, Xuzhou, China, and also Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I25757504","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110327183","display_name":"Yingfan Cheng","orcid":"https://orcid.org/0009-0001-8677-9195"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Yifan Cheng","raw_affiliation_strings":["School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China, Mine Digitization Engineering Research Center of the Ministry of Education, Xuzhou, China, and Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China","School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China, and Mine Digitization Engineering Research Center of the Ministry of Education, Xuzhou, China, and also Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China"],"raw_orcid":"https://orcid.org/0009-0001-8677-9195","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China, Mine Digitization Engineering Research Center of the Ministry of Education, Xuzhou, China, and Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I25757504","https://openalex.org/I889458895"]},{"raw_affiliation_string":"School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China, and Mine Digitization Engineering Research Center of the Ministry of Education, Xuzhou, China, and also Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I25757504","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fan Zhang","orcid":"https://orcid.org/0009-0006-6551-5509"},"institutions":[{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Zhang","raw_affiliation_strings":["Inspur Zhuoshu Big Data Industry Development Co., Ltd., Jinan, China"],"raw_orcid":"https://orcid.org/0009-0006-6551-5509","affiliations":[{"raw_affiliation_string":"Inspur Zhuoshu Big Data Industry Development Co., Ltd., Jinan, China","institution_ids":["https://openalex.org/I4210144143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032326552","display_name":"Xuehuai Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuehuai Shi","raw_affiliation_strings":["School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-6671-0553","affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103252768","display_name":"Canlin Li","orcid":"https://orcid.org/0000-0003-0307-3910"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Canlin Li","raw_affiliation_strings":["School of Computer Science and Technology, Zhengzhou University of Light Industry, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0307-3910","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhengzhou University of Light Industry, Zhengzhou, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084218062","display_name":"Lizhuang Ma","orcid":"https://orcid.org/0000-0003-1653-4341"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhuang Ma","raw_affiliation_strings":["School of Computer Science, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-1653-4341","affiliations":[{"raw_affiliation_string":"School of Computer Science, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073139380","display_name":"Dit\u2010Yan Yeung","orcid":"https://orcid.org/0000-0003-3716-8125"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Dit-Yan Yeung","raw_affiliation_strings":["Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0003-3716-8125","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2966,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.89628433,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"21","issue":"10","first_page":"1","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9993000030517578,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9993000030517578,"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":0.9951000213623047,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/rank","display_name":"Rank (graph theory)","score":0.612500011920929},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5364999771118164},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5058000087738037},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44749999046325684},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4205000102519989},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41839998960494995},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.41359999775886536},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.41200000047683716},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.3901999890804291},{"id":"https://openalex.org/keywords/dynamic-data","display_name":"Dynamic data","score":0.382099986076355}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8744999766349792},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.612500011920929},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6054999828338623},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5364999771118164},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5058000087738037},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44749999046325684},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4205000102519989},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41839998960494995},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.41359999775886536},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.41200000047683716},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3901999890804291},{"id":"https://openalex.org/C197298091","wikidata":"https://www.wikidata.org/wiki/Q5318963","display_name":"Dynamic data","level":2,"score":0.382099986076355},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37470000982284546},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.3625999987125397},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.361299991607666},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.3474999964237213},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.34310001134872437},{"id":"https://openalex.org/C44083865","wikidata":"https://www.wikidata.org/wiki/Q3853443","display_name":"Mean reciprocal rank","level":2,"score":0.31299999356269836},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.311599999666214},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.310699999332428},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29919999837875366},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2976999878883362},{"id":"https://openalex.org/C2780139006","wikidata":"https://www.wikidata.org/wiki/Q1493902","display_name":"Key frame","level":3,"score":0.289000004529953},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2883000075817108},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2863999903202057},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.27730000019073486},{"id":"https://openalex.org/C90199385","wikidata":"https://www.wikidata.org/wiki/Q6692777","display_name":"Low-rank approximation","level":3,"score":0.2655999958515167},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2583000063896179},{"id":"https://openalex.org/C100158260","wikidata":"https://www.wikidata.org/wiki/Q1650567","display_name":"Dynamic web page","level":3,"score":0.2554999887943268},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.25519999861717224}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3765901","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3765901","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2509.06015","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.06015","pdf_url":"https://arxiv.org/pdf/2509.06015","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-167865","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-167865","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2509.06015","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.06015","pdf_url":"https://arxiv.org/pdf/2509.06015","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1218582835","display_name":null,"funder_award_id":"2023M732223","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4091718662","display_name":null,"funder_award_id":"62402231, 72192821, and 62472282","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7070098255","display_name":null,"funder_award_id":"62472424","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W234798790","https://openalex.org/W1578985305","https://openalex.org/W1972978214","https://openalex.org/W2006426145","https://openalex.org/W2072038603","https://openalex.org/W2139916508","https://openalex.org/W2193384753","https://openalex.org/W2194775991","https://openalex.org/W2269299223","https://openalex.org/W2426188534","https://openalex.org/W2478411578","https://openalex.org/W2526853616","https://openalex.org/W2559833261","https://openalex.org/W2571743746","https://openalex.org/W2587585332","https://openalex.org/W2621325907","https://openalex.org/W2726381870","https://openalex.org/W2737463186","https://openalex.org/W2795374598","https://openalex.org/W2888200171","https://openalex.org/W2938266529","https://openalex.org/W2963230974","https://openalex.org/W3011227460","https://openalex.org/W3017006601","https://openalex.org/W3080756971","https://openalex.org/W3092956019","https://openalex.org/W3096596051","https://openalex.org/W3098002894","https://openalex.org/W3102025332","https://openalex.org/W3103539074","https://openalex.org/W3115865297","https://openalex.org/W3139546544","https://openalex.org/W3154000922","https://openalex.org/W3156738407","https://openalex.org/W3195543922","https://openalex.org/W4214612132","https://openalex.org/W4225934279","https://openalex.org/W4236965008","https://openalex.org/W4256361765","https://openalex.org/W4296204322","https://openalex.org/W4306874566","https://openalex.org/W4328114221","https://openalex.org/W4360909535","https://openalex.org/W4377098248","https://openalex.org/W4390322791","https://openalex.org/W4399262530","https://openalex.org/W4400656149","https://openalex.org/W4403509085","https://openalex.org/W4406062679"],"related_works":[],"abstract_inverted_index":{"Facial":[0],"micro-expression":[1],"recognition":[2],"(MER)":[3],"is":[4,97,106,137,176,247],"a":[5,52,68,92,140,144],"challenging":[6],"task,":[7],"due":[8],"to":[9,22,63,109,129,164],"the":[10,30,38,78,82,118,134,151,154,158,166,188,201,224,233],"transience,":[11],"subtlety,":[12],"and":[13,37,43,89,143,157,186,205,221,240],"dynamics":[14],"of":[15,67,70,85,113,171,230],"micro-expressions":[16],"(MEs).":[17],"Most":[18],"existing":[19],"methods":[20],"resort":[21],"hand-crafted":[23],"features":[24,66,120],"or":[25],"deep":[26],"networks,":[27],"in":[28,73,76,126,149,228],"which":[29,77,150],"former":[31,152],"often":[32],"additionally":[33],"requires":[34],"key":[35],"frames,":[36],"latter":[39,159],"suffers":[40],"from":[41,121],"small-scale":[42],"low-diversity":[44],"training":[45],"data.":[46],"In":[47],"this":[48],"article,":[49],"we":[50],"develop":[51],"novel":[53,93],"fine-grained":[54],"dynamic":[55,83,131,135,145,167,172,210],"perception":[56],"(FDP)":[57],"framework":[58],"for":[59,99,178,209],"MER.":[60],"We":[61],"propose":[62],"rank":[64,79,104,111,119,122],"frame-level":[65,115],"sequence":[69],"raw":[71],"frames":[72],"chronological":[74],"order,":[75],"process":[80],"encodes":[81],"information":[84],"both":[86],"ME":[87,155],"appearances":[88],"motions.":[90],"Specifically,":[91],"local-global":[94],"feature-aware":[95],"transformer":[96],"proposed":[98],"frame":[100],"representation":[101,136],"learning.":[102],"A":[103],"scorer":[105,123],"further":[107],"adopted":[108],"calculate":[110],"scores":[112],"each":[114],"feature.":[116],"Afterwards,":[117],"are":[124],"pooled":[125],"temporal":[127],"dimension":[128],"capture":[130],"representation.":[132],"Finally,":[133],"shared":[138],"by":[139,217],"MER":[141,203],"module":[142],"image":[146,173,211],"construction":[147,174],"module,":[148],"predicts":[153],"category,":[156],"uses":[160],"an":[161],"encoder-decoder":[162],"structure":[163],"construct":[165],"image.":[168],"The":[169,245],"design":[170],"task":[175],"beneficial":[177],"capturing":[179],"facial":[180],"subtle":[181],"actions":[182],"associated":[183],"with":[184],"MEs":[185],"alleviating":[187],"data":[189],"scarcity":[190],"issue.":[191],"Extensive":[192],"experiments":[193],"show":[194],"that":[195],"our":[196,214],"method":[197],"(i)":[198],"significantly":[199],"outperforms":[200],"state-of-the-art":[202],"methods,":[204],"(ii)":[206],"works":[207],"well":[208],"construction.":[212],"Particularly,":[213],"FDP":[215],"improves":[216],"4.05%,":[218],"2.50%,":[219],"7.71%,":[220],"2.11%":[222],"over":[223],"previous":[225],"best":[226],"results":[227],"terms":[229],"F1-score":[231],"on":[232],"CASME":[234],"II,":[235],"SAMM,":[236],"CAS(ME)":[237,241],"2":[238],",":[239],"3":[242],"datasets,":[243],"respectively.":[244],"code":[246],"available":[248],"at":[249],"https://github.com/CYF-cuber/FDP":[250],".":[251]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-09-16T00:00:00"}