{"id":"https://openalex.org/W3161014913","doi":"https://doi.org/10.1109/icpr48806.2021.9412820","title":"Identity-aware Facial Expression Recognition in Compressed Video","display_name":"Identity-aware Facial Expression Recognition in Compressed Video","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3161014913","doi":"https://doi.org/10.1109/icpr48806.2021.9412820","mag":"3161014913"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9412820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412820","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","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/A5100359288","display_name":"Xiaofeng Liu","orcid":"https://orcid.org/0000-0002-4514-2016"},"institutions":[{"id":"https://openalex.org/I1316535847","display_name":"Beth Israel Deaconess Medical Center","ror":"https://ror.org/04drvxt59","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1316535847"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaofeng Liu","raw_affiliation_strings":["Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA","Fanhan Tech. Inc., Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA","institution_ids":["https://openalex.org/I1316535847","https://openalex.org/I136199984"]},{"raw_affiliation_string":"Fanhan Tech. Inc., Suzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074906717","display_name":"Linghao Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Linghao Jin","raw_affiliation_strings":["Johns Hopkins University, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102012659","display_name":"Xu Han","orcid":"https://orcid.org/0000-0003-3491-8576"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xu Han","raw_affiliation_strings":["Johns Hopkins University, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090386824","display_name":"Jun Lu","orcid":"https://orcid.org/0000-0001-6656-4587"},"institutions":[{"id":"https://openalex.org/I1316535847","display_name":"Beth Israel Deaconess Medical Center","ror":"https://ror.org/04drvxt59","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1316535847"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Lu","raw_affiliation_strings":["Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA","institution_ids":["https://openalex.org/I1316535847","https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045562050","display_name":"Jane You","orcid":"https://orcid.org/0000-0002-8181-4836"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jane You","raw_affiliation_strings":["Hong Kong Polytechnic University, Hung Hom, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University, Hung Hom, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058439988","display_name":"Lingsheng Kong","orcid":"https://orcid.org/0000-0003-0678-5462"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210088164","display_name":"Changchun Institute of Optics, Fine Mechanics and Physics","ror":"https://ror.org/012rct222","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingsheng Kong","raw_affiliation_strings":["Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, CAS, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, CAS, Changchun, China","institution_ids":["https://openalex.org/I4210088164","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4598,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.92474842,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"7508","last_page":"7514"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9997000098228455,"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":0.9997000098228455,"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/T10860","display_name":"Speech and Audio Processing","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9986000061035156,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7793337106704712},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.7111937403678894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.676642656326294},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.582436740398407},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5343446135520935},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.5284909009933472},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5277724266052246},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.4979236125946045},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4850456118583679},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.43313831090927124},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.43265578150749207},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.41032034158706665},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13124608993530273},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11212196946144104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7793337106704712},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.7111937403678894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.676642656326294},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.582436740398407},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5343446135520935},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.5284909009933472},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5277724266052246},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.4979236125946045},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4850456118583679},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.43313831090927124},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.43265578150749207},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.41032034158706665},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13124608993530273},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11212196946144104},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/icpr48806.2021.9412820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412820","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2724604043","display_name":null,"funder_award_id":"NS061841,NS095986","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G5050363706","display_name":null,"funder_award_id":"61705221","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/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W1480583224","https://openalex.org/W1522734439","https://openalex.org/W1992227055","https://openalex.org/W2096733369","https://openalex.org/W2103943262","https://openalex.org/W2107032474","https://openalex.org/W2115907784","https://openalex.org/W2124773960","https://openalex.org/W2125127226","https://openalex.org/W2134860945","https://openalex.org/W2161634108","https://openalex.org/W2217426128","https://openalex.org/W2342776425","https://openalex.org/W2414501075","https://openalex.org/W2531262049","https://openalex.org/W2546875627","https://openalex.org/W2548899748","https://openalex.org/W2559823555","https://openalex.org/W2560006649","https://openalex.org/W2600389231","https://openalex.org/W2601315196","https://openalex.org/W2606933083","https://openalex.org/W2730601341","https://openalex.org/W2737398044","https://openalex.org/W2767348466","https://openalex.org/W2767618761","https://openalex.org/W2790592899","https://openalex.org/W2793613699","https://openalex.org/W2799041689","https://openalex.org/W2801997881","https://openalex.org/W2885963772","https://openalex.org/W2894676264","https://openalex.org/W2894805842","https://openalex.org/W2894871570","https://openalex.org/W2898795295","https://openalex.org/W2902453469","https://openalex.org/W2903204734","https://openalex.org/W2905628412","https://openalex.org/W2913282330","https://openalex.org/W2925092820","https://openalex.org/W2948801556","https://openalex.org/W2959758960","https://openalex.org/W2960453713","https://openalex.org/W2963252191","https://openalex.org/W2963370182","https://openalex.org/W2963623198","https://openalex.org/W2963671154","https://openalex.org/W2963748103","https://openalex.org/W2963901365","https://openalex.org/W2964184973","https://openalex.org/W2965994649","https://openalex.org/W2969121190","https://openalex.org/W2970602229","https://openalex.org/W2970710980","https://openalex.org/W2971226036","https://openalex.org/W2987686867","https://openalex.org/W2988586966","https://openalex.org/W2993534970","https://openalex.org/W2997018136","https://openalex.org/W2997421212","https://openalex.org/W2998414876","https://openalex.org/W2998802446","https://openalex.org/W3002155012","https://openalex.org/W3034505102","https://openalex.org/W3034566037","https://openalex.org/W3035264762","https://openalex.org/W3035831564","https://openalex.org/W3042790181","https://openalex.org/W3084765493","https://openalex.org/W3099206234","https://openalex.org/W3124054989"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2521347458","https://openalex.org/W2498789492","https://openalex.org/W2729981612","https://openalex.org/W2925692864","https://openalex.org/W2381031055","https://openalex.org/W2366070815","https://openalex.org/W2642127892"],"abstract_inverted_index":{"This":[0],"paper":[1],"targets":[2],"to":[3,46,65,91,100,138,152],"explore":[4],"the":[5,13,19,23,30,40,44,57,60,70,81,86,95,107,115,123,129,131,140,146,165,172],"inter-subject":[6],"variations":[7],"eliminated":[8],"facial":[9],"expression":[10,58,87,96,112,154],"representation":[11],"in":[12,39,128],"compressed":[14,51,147,182],"video":[15],"domain.":[16],"Most":[17],"of":[18,26,49,84],"previous":[20],"methods":[21,170],"process":[22],"RGB":[24],"images":[25],"a":[27,74],"sequence,":[28],"while":[29],"off-the-shelf":[31],"and":[32,63,97],"valuable":[33],"expression-related":[34],"muscle":[35],"movement":[36],"already":[37],"embedded":[38],"compression":[41],"format.":[42],"In":[43,143],"up":[45],"two":[47],"orders":[48],"magnitude":[50],"domain,":[52],"we":[53],"can":[54,134,158],"explicitly":[55],"infer":[56],"from":[59,69,114],"residual":[61,148],"frames":[62,149],"possible":[64],"extract":[66],"identity":[67,101,108,119],"factors":[68],"I":[71],"frame":[72,125],"with":[73,176,181],"pre-trained":[75],"face":[76],"recognition":[77],"network.":[78],"By":[79],"enforcing":[80],"marginal":[82],"independent":[83],"them,":[85],"feature":[88],"is":[89,126],"expected":[90],"be":[92,98,135],"purer":[93],"for":[94,118],"robust":[99],"shifts.":[102],"We":[103],"do":[104],"not":[105],"need":[106],"label":[109],"or":[110,161],"multiple":[111],"samples":[113],"same":[116],"person":[117],"elimination.":[120],"Moreover,":[121],"when":[122],"apex":[124],"annotated":[127],"dataset,":[130],"complementary":[132],"constraint":[133],"further":[136],"added":[137],"regularize":[139],"feature-level":[141],"game.":[142],"testing,":[144],"only":[145],"are":[150],"required":[151],"achieve":[153,159],"prediction.":[155],"Our":[156],"solution":[157],"comparable":[160],"better":[162],"performance":[163],"than":[164],"recent":[166],"decoded":[167],"image":[168],"based":[169],"on":[171],"typical":[173],"FER":[174],"benchmarks":[175],"about":[177],"3\u00d7":[178],"faster":[179],"inference":[180],"data.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
