{"id":"https://openalex.org/W2903073752","doi":"https://doi.org/10.1145/3200572","title":"Learning Facial Expressions with 3D Mesh Convolutional Neural Network","display_name":"Learning Facial Expressions with 3D Mesh Convolutional Neural Network","publication_year":2018,"publication_date":"2018-11-28","ids":{"openalex":"https://openalex.org/W2903073752","doi":"https://doi.org/10.1145/3200572","mag":"2903073752"},"language":"en","primary_location":{"id":"doi:10.1145/3200572","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3200572","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3200572","source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"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 Intelligent Systems and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3200572","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103248436","display_name":"Hai Jin","orcid":"https://orcid.org/0000-0002-8999-9994"},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]},{"id":"https://openalex.org/I869375964","display_name":"Woodward (United States)","ror":"https://ror.org/01y24f494","country_code":"US","type":"company","lineage":["https://openalex.org/I869375964"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hai Jin","raw_affiliation_strings":["Wayne State University, Woodward Ave, Detroit, MI"],"affiliations":[{"raw_affiliation_string":"Wayne State University, Woodward Ave, Detroit, MI","institution_ids":["https://openalex.org/I869375964","https://openalex.org/I185443292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005556707","display_name":"Yuanfeng Lian","orcid":"https://orcid.org/0000-0002-1801-2507"},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]},{"id":"https://openalex.org/I869375964","display_name":"Woodward (United States)","ror":"https://ror.org/01y24f494","country_code":"US","type":"company","lineage":["https://openalex.org/I869375964"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuanfeng Lian","raw_affiliation_strings":["Wayne State University, Woodward Ave, Detroit, MI"],"affiliations":[{"raw_affiliation_string":"Wayne State University, Woodward Ave, Detroit, MI","institution_ids":["https://openalex.org/I869375964","https://openalex.org/I185443292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102022483","display_name":"Jing Hua","orcid":"https://orcid.org/0000-0002-3981-2933"},"institutions":[{"id":"https://openalex.org/I869375964","display_name":"Woodward (United States)","ror":"https://ror.org/01y24f494","country_code":"US","type":"company","lineage":["https://openalex.org/I869375964"]},{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Hua","raw_affiliation_strings":["Wayne State University, Woodward Ave, Detroit, MI"],"affiliations":[{"raw_affiliation_string":"Wayne State University, Woodward Ave, Detroit, MI","institution_ids":["https://openalex.org/I869375964","https://openalex.org/I185443292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103248436"],"corresponding_institution_ids":["https://openalex.org/I185443292","https://openalex.org/I869375964"],"apc_list":null,"apc_paid":null,"fwci":0.9401,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.81282075,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"10","issue":"1","first_page":"1","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9997000098228455,"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":0.9997000098228455,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.998199999332428,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9976000189781189,"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/computer-science","display_name":"Computer science","score":0.8966540694236755},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7778912782669067},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6701754331588745},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5309250950813293},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5209144949913025},{"id":"https://openalex.org/keywords/geodesic","display_name":"Geodesic","score":0.5202397108078003},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.479850709438324},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.4440481662750244},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.436771959066391},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4283781945705414},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.42003241181373596},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3626663088798523},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1468254029750824},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.12140390276908875}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8966540694236755},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7778912782669067},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6701754331588745},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5309250950813293},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5209144949913025},{"id":"https://openalex.org/C165818556","wikidata":"https://www.wikidata.org/wiki/Q213488","display_name":"Geodesic","level":2,"score":0.5202397108078003},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.479850709438324},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.4440481662750244},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.436771959066391},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4283781945705414},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.42003241181373596},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3626663088798523},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1468254029750824},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.12140390276908875},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3200572","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3200572","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3200572","source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"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 Intelligent Systems and Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3200572","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3200572","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3200572","source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"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 Intelligent Systems and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7771397223","display_name":null,"funder_award_id":"340164","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2903073752.pdf","grobid_xml":"https://content.openalex.org/works/W2903073752.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W47265595","https://openalex.org/W1626653188","https://openalex.org/W1644641054","https://openalex.org/W1849277567","https://openalex.org/W1920022804","https://openalex.org/W1938204631","https://openalex.org/W1966797434","https://openalex.org/W1977821862","https://openalex.org/W1988744266","https://openalex.org/W2004068758","https://openalex.org/W2007206727","https://openalex.org/W2012210378","https://openalex.org/W2017107803","https://openalex.org/W2047875689","https://openalex.org/W2090495691","https://openalex.org/W2096733369","https://openalex.org/W2098693229","https://openalex.org/W2100657858","https://openalex.org/W2101965618","https://openalex.org/W2102544846","https://openalex.org/W2103943262","https://openalex.org/W2106488920","https://openalex.org/W2108432346","https://openalex.org/W2112393832","https://openalex.org/W2115941714","https://openalex.org/W2117113028","https://openalex.org/W2121647436","https://openalex.org/W2125011751","https://openalex.org/W2127429655","https://openalex.org/W2137306662","https://openalex.org/W2139916508","https://openalex.org/W2140037310","https://openalex.org/W2143875529","https://openalex.org/W2145310492","https://openalex.org/W2152826865","https://openalex.org/W2153336920","https://openalex.org/W2160126058","https://openalex.org/W2163605009","https://openalex.org/W2237250383","https://openalex.org/W2244142460","https://openalex.org/W2280370717","https://openalex.org/W2343061342","https://openalex.org/W2345305417","https://openalex.org/W2506506742","https://openalex.org/W2518780089","https://openalex.org/W2552392628","https://openalex.org/W2751298778","https://openalex.org/W2952093099","https://openalex.org/W2962784841","https://openalex.org/W3099206234","https://openalex.org/W4231290138","https://openalex.org/W4249502209","https://openalex.org/W4249914127"],"related_works":["https://openalex.org/W1557607869","https://openalex.org/W2366350639","https://openalex.org/W2087496541","https://openalex.org/W4313703117","https://openalex.org/W2028455732","https://openalex.org/W2085564391","https://openalex.org/W2108615321","https://openalex.org/W1984758362","https://openalex.org/W2042049060","https://openalex.org/W2992936613"],"abstract_inverted_index":{"Making":[0],"machines":[1],"understand":[2],"human":[3],"expressions":[4,55],"enables":[5],"various":[6],"useful":[7],"applications":[8],"in":[9,139,145],"human-machine":[10],"interaction.":[11],"In":[12],"this":[13],"article,":[14],"we":[15,43,80],"present":[16,117],"a":[17,31,46,51,96,191],"novel":[18],"facial":[19,54,78],"expression":[20],"recognition":[21,193],"approach":[22],"with":[23,53,160],"3D":[24,47,90,201],"Mesh":[25],"Convolutional":[26,69],"Neural":[27,70],"Networks":[28,71],"(3DMCNN)":[29],"and":[30,36,56,126,135,173,199,208],"visual":[32,119,210],"analytics-guided":[33],"3DMCNN":[34,207],"design":[35,95],"optimization":[37],"scheme.":[38],"From":[39],"an":[40],"RGBD":[41],"camera,":[42],"first":[44],"reconstruct":[45],"face":[48,112],"model":[49,91],"of":[50,62,66,76,88,110,124,150,170,177,212],"subject":[52],"then":[57],"compute":[58],"the":[59,63,77,82,86,89,103,107,111,122,128,132,146,148,151,161,171,175,213],"geometric":[60,83],"properties":[61,84],"surface.":[64],"Instead":[65],"using":[67,92],"regular":[68,162],"(CNNs)":[72],"to":[73,101,130,218],"learn":[74],"intensities":[75],"images,":[79],"convolve":[81],"on":[85,185],"surface":[87,113],"3DMCNN.":[93,140],"We":[94,115,156],"geodesic":[97],"distance-based":[98],"convolution":[99],"method":[100,159,164,179,189],"overcome":[102],"difficulties":[104],"raised":[105],"from":[106],"irregular":[108],"sampling":[109],"mesh.":[114],"further":[116],"interactive":[118,209],"analytics":[120,211],"for":[121],"purpose":[123],"designing":[125],"modifying":[127],"networks":[129,172],"analyze":[131,174],"learned":[133],"features":[134],"cluster":[136],"similar":[137],"nodes":[138,144],"By":[141],"removing":[142],"low-activity":[143],"network,":[147],"performance":[149],"network":[152],"is":[153],"greatly":[154],"improved.":[155],"compare":[157],"our":[158,178,188],"CNN-based":[163],"by":[165,180],"interactively":[166],"visualizing":[167],"each":[168],"layer":[169],"effectiveness":[176],"studying":[181],"representative":[182],"cases.":[183],"Testing":[184],"public":[186],"datasets,":[187],"achieves":[190],"higher":[192],"accuracy":[194],"than":[195],"traditional":[196],"image-based":[197],"CNN":[198],"other":[200,219],"CNNs.":[202],"The":[203],"proposed":[204],"framework,":[205],"including":[206],"CNN,":[214],"can":[215],"be":[216],"extended":[217],"applications.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}