{"id":"https://openalex.org/W4411635591","doi":"https://doi.org/10.1145/3731715.3733415","title":"PTSR: A Unified Patch Tokenization, Selection and Representation Framework for Efficient Micro-expression Recognition","display_name":"PTSR: A Unified Patch Tokenization, Selection and Representation Framework for Efficient Micro-expression Recognition","publication_year":2025,"publication_date":"2025-06-25","ids":{"openalex":"https://openalex.org/W4411635591","doi":"https://doi.org/10.1145/3731715.3733415"},"language":"en","primary_location":{"id":"doi:10.1145/3731715.3733415","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3731715.3733415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International Conference on Multimedia Retrieval","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/A5019642277","display_name":"Liangyu Fu","orcid":"https://orcid.org/0009-0006-6433-7528"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangyu Fu","raw_affiliation_strings":["School of Software, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0009-0006-6433-7528","affiliations":[{"raw_affiliation_string":"School of Software, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112578806","display_name":"Junbo Wang","orcid":"https://orcid.org/0009-0006-9955-7838"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junbo Wang","raw_affiliation_strings":["School of Software, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0009-0006-9955-7838","affiliations":[{"raw_affiliation_string":"School of Software, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084965704","display_name":"Qiangguo Jin","orcid":"https://orcid.org/0000-0002-1781-1067"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiangguo Jin","raw_affiliation_strings":["School of Software, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-1781-1067","affiliations":[{"raw_affiliation_string":"School of Software, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099093361","display_name":"Yining Zhu","orcid":"https://orcid.org/0009-0006-6003-7739"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yining Zhu","raw_affiliation_strings":["School of Computer Science, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0009-0006-6003-7739","affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014269015","display_name":"Hongsong Wang","orcid":"https://orcid.org/0000-0002-9464-1778"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongsong Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-9464-1778","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100697205","display_name":"Yuke Li","orcid":"https://orcid.org/0000-0001-9836-4600"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuke Li","raw_affiliation_strings":["School of Software, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-9836-4600","affiliations":[{"raw_affiliation_string":"School of Software, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108497986","display_name":"Xuecheng Wu","orcid":"https://orcid.org/0000-0002-6244-0269"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuecheng Wu","raw_affiliation_strings":["School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-6244-0269","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100668926","display_name":"Kun Hu","orcid":"https://orcid.org/0000-0002-6891-8059"},"institutions":[{"id":"https://openalex.org/I12079687","display_name":"Edith Cowan University","ror":"https://ror.org/05jhnwe22","country_code":"AU","type":"education","lineage":["https://openalex.org/I12079687"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kun Hu","raw_affiliation_strings":["School of Science, Edith Cowan University, Perth, Australia"],"raw_orcid":"https://orcid.org/0000-0002-6891-8059","affiliations":[{"raw_affiliation_string":"School of Science, Edith Cowan University, Perth, Australia","institution_ids":["https://openalex.org/I12079687"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10992309,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"312","last_page":"320"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9969000220298767,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9969000220298767,"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/T11448","display_name":"Face recognition and analysis","score":0.9954000115394592,"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":0.9950000047683716,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lexical-analysis","display_name":"Lexical analysis","score":0.7794342041015625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7295069694519043},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6566451787948608},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5844976902008057},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46403858065605164},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.4321762025356293},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33099430799484253},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3223724365234375},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.14835670590400696}],"concepts":[{"id":"https://openalex.org/C176982825","wikidata":"https://www.wikidata.org/wiki/Q835922","display_name":"Lexical analysis","level":2,"score":0.7794342041015625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7295069694519043},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6566451787948608},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5844976902008057},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46403858065605164},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.4321762025356293},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33099430799484253},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3223724365234375},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.14835670590400696},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3731715.3733415","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3731715.3733415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3878614066","display_name":null,"funder_award_id":"D5000250044, D5000250060","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G909162720","display_name":null,"funder_award_id":"62201460, 62302093","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1609907549","https://openalex.org/W1755205674","https://openalex.org/W2006426145","https://openalex.org/W2044106642","https://openalex.org/W2059068649","https://openalex.org/W2341528187","https://openalex.org/W2426188534","https://openalex.org/W2478411578","https://openalex.org/W2526853616","https://openalex.org/W2567602236","https://openalex.org/W2891138649","https://openalex.org/W2914586147","https://openalex.org/W2954113953","https://openalex.org/W2958471948","https://openalex.org/W2959639774","https://openalex.org/W2962162344","https://openalex.org/W2963230974","https://openalex.org/W2964606879","https://openalex.org/W2969299247","https://openalex.org/W3012119275","https://openalex.org/W3045994539","https://openalex.org/W3080756971","https://openalex.org/W3092993976","https://openalex.org/W3096596051","https://openalex.org/W3098002894","https://openalex.org/W3101998545","https://openalex.org/W3129176834","https://openalex.org/W3139434170","https://openalex.org/W3139546544","https://openalex.org/W3178133774","https://openalex.org/W3195543922","https://openalex.org/W4225934279","https://openalex.org/W4312399808","https://openalex.org/W4380992341","https://openalex.org/W4382240667","https://openalex.org/W4386047789","https://openalex.org/W4386075510","https://openalex.org/W4387760641","https://openalex.org/W4392294350"],"related_works":["https://openalex.org/W4405003489","https://openalex.org/W4386014872","https://openalex.org/W1847536016","https://openalex.org/W4361193986","https://openalex.org/W3149094754","https://openalex.org/W4300598845","https://openalex.org/W2601638452","https://openalex.org/W2285263069","https://openalex.org/W4376107815","https://openalex.org/W4319309671"],"abstract_inverted_index":{"Micro-expression":[0],"recognition":[1,80],"is":[2,127],"a":[3,87,107,140,152],"challenging":[4],"task":[5],"of":[6,50,59,74,122,214,225],"identifying":[7],"hidden":[8],"emotion,":[9],"as":[10,205],"micro-expressions":[11],"have":[12,28],"brief":[13],"durations":[14],"and":[15,41,93,133,187,216],"involve":[16],"small-scale":[17,52],"facial":[18],"muscle":[19],"movements.":[20],"Although":[21],"deep":[22],"learning-based":[23],"methods,":[24,27,203],"especially":[25,77],"transformer-based":[26],"achieved":[29],"impressive":[30],"performance":[31,198],"in":[32,47,61,78,212,223],"this":[33],"task,":[34],"these":[35],"methods":[36,68],"exhibit":[37],"high":[38],"computational":[39],"complexity":[40],"struggle":[42],"to":[43,56,115,145,158],"learn":[44,116],"effective":[45],"representations":[46,166],"the":[48,57,62,72,123,147,168,188,201,209,220],"context":[49],"typically":[51],"micro-expression":[53,79,101],"datasets,":[54,180],"due":[55],"excess":[58],"tokens":[60],"multi-head":[63],"self-attention.":[64],"Moreover,":[65],"most":[66],"existing":[67],"do":[69],"not":[70],"differentiate":[71],"importance":[73],"local":[75],"features,":[76],"with":[81,97],"subtle":[82],"changes.":[83],"Therefore,":[84],"we":[85,138],"propose":[86],"novel":[88],"unified":[89],"Patch":[90],"Tokenization,":[91],"Selection":[92],"Representation":[94],"framework":[95],"(PTSR)":[96],"vision":[98],"Transformer":[99],"for":[100,167],"recognition.":[102],"Specifically,":[103],"PTSR":[104],"first":[105],"presents":[106],"dual":[108,134],"norm":[109,135],"shifted":[110],"patch":[111],"tokenization":[112],"(DNSPT)":[113],"module":[114,143,156],"spatial":[117,131],"relations":[118],"between":[119],"neighboring":[120],"pixels":[121],"face":[124],"region,":[125],"which":[126],"implemented":[128],"by":[129],"elaborating":[130],"transformation":[132],"projection.":[136],"Then,":[137],"employ":[139],"local-global":[141,148],"attention":[142],"(LAM)":[144],"extract":[146],"image":[149],"feature,":[150],"incorporating":[151],"dynamic":[153],"token":[154],"selection":[155],"(DTSM)":[157],"select":[159],"important":[160],"patches/tokens,":[161],"thereby":[162],"capturing":[163],"more":[164],"discriminative":[165],"input":[169],"clip.":[170],"Extensive":[171],"experiments":[172],"are":[173],"conducted":[174],"on":[175,208,219],"4":[176],"widely":[177],"used":[178],"public":[179],"i.e.,":[181],"CASME":[182],"II,":[183],"SAMM,":[184],"SMIC,":[185],"CAS(ME)3,":[186],"experimental":[189],"results":[190],"indicate":[191],"that":[192],"our":[193],"method":[194],"can":[195],"achieve":[196],"clear":[197],"improvements":[199],"over":[200],"state-of-the-art":[202],"such":[204],"8.37%":[206],"improvement":[207,218],"CAS(ME)3":[210],"dataset":[211,222],"terms":[213,224],"UF1":[215],"3.1%":[217],"SMIC":[221],"UAR":[226],"metric.":[227]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
