{"id":"https://openalex.org/W3092826430","doi":"https://doi.org/10.1145/3394171.3413718","title":"IExpressNet","display_name":"IExpressNet","publication_year":2020,"publication_date":"2020-10-12","ids":{"openalex":"https://openalex.org/W3092826430","doi":"https://doi.org/10.1145/3394171.3413718","mag":"3092826430"},"language":"en","primary_location":{"id":"doi:10.1145/3394171.3413718","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3413718","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","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/A5101922460","display_name":"Junjie Zhu","orcid":"https://orcid.org/0000-0003-4677-5429"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Zhu","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002089338","display_name":"Bingjun Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingjun Luo","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051149140","display_name":"Sicheng Zhao","orcid":"https://orcid.org/0000-0001-5843-6411"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sicheng Zhao","raw_affiliation_strings":["University of California Berkeley, Berkeley, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063863772","display_name":"Shihui Ying","orcid":"https://orcid.org/0000-0001-9423-0146"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shihui Ying","raw_affiliation_strings":["Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100773043","display_name":"Xibin Zhao","orcid":"https://orcid.org/0000-0002-6168-7016"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xibin Zhao","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100602494","display_name":"Yue Gao","orcid":"https://orcid.org/0000-0002-4971-590X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Gao","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2899","last_page":"2908"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9995999932289124,"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/T10057","display_name":"Face and Expression Recognition","score":0.9976000189781189,"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/T10860","display_name":"Speech and Audio Processing","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7601041793823242},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7282559871673584},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.6564872860908508},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6323120594024658},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.6290184855461121},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5596287250518799},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.50635826587677},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.4493119418621063},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4204120635986328},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4181009531021118},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37233826518058777},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.1668955385684967},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08845603466033936}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7601041793823242},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7282559871673584},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.6564872860908508},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6323120594024658},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.6290184855461121},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5596287250518799},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.50635826587677},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.4493119418621063},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4204120635986328},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4181009531021118},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37233826518058777},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.1668955385684967},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08845603466033936},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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:10.1145/3394171.3413718","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3413718","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5199999809265137,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W277886906","https://openalex.org/W1509031088","https://openalex.org/W1964763677","https://openalex.org/W1965947362","https://openalex.org/W1989104072","https://openalex.org/W1997865285","https://openalex.org/W2003238582","https://openalex.org/W2007556421","https://openalex.org/W2015563892","https://openalex.org/W2045688694","https://openalex.org/W2055894321","https://openalex.org/W2078833921","https://openalex.org/W2099965794","https://openalex.org/W2103943262","https://openalex.org/W2104067190","https://openalex.org/W2105931454","https://openalex.org/W2106390385","https://openalex.org/W2109933817","https://openalex.org/W2119802788","https://openalex.org/W2119821739","https://openalex.org/W2122361883","https://openalex.org/W2129183325","https://openalex.org/W2132641846","https://openalex.org/W2133180260","https://openalex.org/W2139916508","https://openalex.org/W2141115110","https://openalex.org/W2145012698","https://openalex.org/W2160684493","https://openalex.org/W2161208102","https://openalex.org/W2164186291","https://openalex.org/W2194775991","https://openalex.org/W2217426128","https://openalex.org/W2345305417","https://openalex.org/W2473930607","https://openalex.org/W2520774990","https://openalex.org/W2525668096","https://openalex.org/W2552972371","https://openalex.org/W2554616628","https://openalex.org/W2600389231","https://openalex.org/W2655404332","https://openalex.org/W2737986725","https://openalex.org/W2738672149","https://openalex.org/W2745497104","https://openalex.org/W2752234108","https://openalex.org/W2756154119","https://openalex.org/W2766251611","https://openalex.org/W2768242826","https://openalex.org/W2774694903","https://openalex.org/W2798553619","https://openalex.org/W2798583514","https://openalex.org/W2799041689","https://openalex.org/W2884282566","https://openalex.org/W2889978276","https://openalex.org/W2896277673","https://openalex.org/W2896591327","https://openalex.org/W2896911342","https://openalex.org/W2942666711","https://openalex.org/W2951598055","https://openalex.org/W2962707369","https://openalex.org/W2962858109","https://openalex.org/W2962945654","https://openalex.org/W2963072899","https://openalex.org/W2963118476","https://openalex.org/W2964289764","https://openalex.org/W2964636989","https://openalex.org/W2970955473","https://openalex.org/W2972313371","https://openalex.org/W2981864462","https://openalex.org/W3034530552","https://openalex.org/W3035717151","https://openalex.org/W3122081138","https://openalex.org/W4234552385","https://openalex.org/W4236533540","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W4289718052","https://openalex.org/W2164121020","https://openalex.org/W2145559838","https://openalex.org/W2905319430","https://openalex.org/W3116498279","https://openalex.org/W4287549553","https://openalex.org/W4310285384","https://openalex.org/W3183027292","https://openalex.org/W1487808658","https://openalex.org/W4365802474"],"abstract_inverted_index":{"Existing":[0],"methods":[1],"on":[2,156],"facial":[3,132],"expression":[4,15,25,37,108,116,133],"recognition":[5],"(FER)":[6],"are":[7,17,27,154],"mainly":[8],"trained":[9],"in":[10,19,22,50,134,161],"the":[11,111,120,135,140,144,162,170,173],"setting":[12],"when":[13],"all":[14],"classes":[16,26,117],"fixed":[18],"advance.":[20],"However,":[21],"real":[23],"applications,":[24],"becoming":[28],"increasingly":[29],"fine-grained":[30],"and":[31,114,148,165],"incremental.":[32],"To":[33,58],"deal":[34],"with":[35,81],"sequential":[36],"classes,":[38],"we":[39,62,96,124],"can":[40,72],"fine-tune":[41],"or":[42,53],"re-train":[43],"these":[44,60],"models,":[45],"but":[46],"this":[47],"often":[48],"results":[49,168],"poor":[51],"performance":[52],"large":[54],"computing":[55,86],"resources":[56],"consumption.":[57],"address":[59],"problems,":[61],"develop":[63],"an":[64,98],"Incremental":[65],"Facial":[66],"Expression":[67],"Recognition":[68],"Network":[69],"(IExpressNet),":[70],"which":[71],"learn":[73],"a":[74,82,126],"competitive":[75],"multi-class":[76],"classifier":[77],"at":[78],"any":[79],"time":[80],"lower":[83],"requirement":[84],"of":[85,91,143,172],"resources.":[87],"Specifically,":[88],"IExpressNet":[89],"consists":[90],"two":[92,157],"novel":[93,127],"components.":[94],"First,":[95],"construct":[97],"exemplar":[99,112],"set":[100,113],"by":[101],"dynamically":[102],"selecting":[103],"representative":[104],"samples":[105,118],"from":[106],"old":[107],"classes.":[109],"Then,":[110],"new":[115],"constitute":[119],"training":[121],"set.":[122],"Second,":[123],"design":[125],"center-expression-distilled":[128,137],"loss.":[129],"As":[130],"for":[131],"wild,":[136,163],"loss":[138],"enhances":[139],"discriminative":[141],"power":[142],"deeply":[145],"learned":[146],"features":[147],"prevents":[149],"catastrophic":[150],"forgetting.":[151],"Extensive":[152],"experiments":[153],"conducted":[155],"large-scale":[158],"FER":[159],"datasets":[160],"RAF-DB":[164],"AffectNet.":[166],"The":[167],"demonstrate":[169],"superiority":[171],"proposed":[174],"method":[175],"as":[176],"compared":[177],"to":[178],"state-of-the-art":[179],"incremental":[180],"learning":[181],"approaches.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2020-10-22T00:00:00"}
