{"id":"https://openalex.org/W4372347173","doi":"https://doi.org/10.1109/icassp49357.2023.10097123","title":"MTFD: Multi-Teacher Fusion Distillation for Compressed Video Action Recognition","display_name":"MTFD: Multi-Teacher Fusion Distillation for Compressed Video Action Recognition","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372347173","doi":"https://doi.org/10.1109/icassp49357.2023.10097123"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10097123","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10097123","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5061011497","display_name":"Jinxin Guo","orcid":"https://orcid.org/0000-0002-9509-0496"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"JinXin Guo","raw_affiliation_strings":["Inner Mongolia University,Huhhot,China","Inner Mongolia University, Huhhot, China"],"affiliations":[{"raw_affiliation_string":"Inner Mongolia University,Huhhot,China","institution_ids":["https://openalex.org/I2722730"]},{"raw_affiliation_string":"Inner Mongolia University, Huhhot, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100605309","display_name":"Jiaqiang Zhang","orcid":"https://orcid.org/0000-0002-0174-6803"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"JiaQiang Zhang","raw_affiliation_strings":["Inner Mongolia University,Huhhot,China","Inner Mongolia University, Huhhot, China"],"affiliations":[{"raw_affiliation_string":"Inner Mongolia University,Huhhot,China","institution_ids":["https://openalex.org/I2722730"]},{"raw_affiliation_string":"Inner Mongolia University, Huhhot, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001541663","display_name":"ShaoJie Li","orcid":null},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"ShaoJie Li","raw_affiliation_strings":["Inner Mongolia University,Huhhot,China","Inner Mongolia University, Huhhot, China"],"affiliations":[{"raw_affiliation_string":"Inner Mongolia University,Huhhot,China","institution_ids":["https://openalex.org/I2722730"]},{"raw_affiliation_string":"Inner Mongolia University, Huhhot, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100683835","display_name":"Xiaojing Zhang","orcid":"https://orcid.org/0000-0003-4138-471X"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"XiaoJing Zhang","raw_affiliation_strings":["Inner Mongolia University,Huhhot,China","Inner Mongolia University, Huhhot, China"],"affiliations":[{"raw_affiliation_string":"Inner Mongolia University,Huhhot,China","institution_ids":["https://openalex.org/I2722730"]},{"raw_affiliation_string":"Inner Mongolia University, Huhhot, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032990372","display_name":"Ming Ma","orcid":"https://orcid.org/0000-0002-7261-0372"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Ma","raw_affiliation_strings":["Inner Mongolia University,Huhhot,China","Inner Mongolia University, Huhhot, China"],"affiliations":[{"raw_affiliation_string":"Inner Mongolia University,Huhhot,China","institution_ids":["https://openalex.org/I2722730"]},{"raw_affiliation_string":"Inner Mongolia University, Huhhot, China","institution_ids":["https://openalex.org/I2722730"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5061011497"],"corresponding_institution_ids":["https://openalex.org/I2722730"],"apc_list":null,"apc_paid":null,"fwci":0.491,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63932948,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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":0.9998999834060669,"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/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9940999746322632,"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":0.8250767588615417},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6772656440734863},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5588793158531189},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5509650707244873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.535923957824707},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5079472661018372},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4942019283771515},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4250905513763428},{"id":"https://openalex.org/keywords/information-fusion","display_name":"Information fusion","score":0.42143556475639343},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4194742441177368},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40069830417633057},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11531692743301392},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.1030692458152771},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07524895668029785}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8250767588615417},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6772656440734863},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5588793158531189},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5509650707244873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.535923957824707},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5079472661018372},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4942019283771515},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4250905513763428},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.42143556475639343},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4194742441177368},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40069830417633057},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11531692743301392},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.1030692458152771},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07524895668029785},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10097123","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10097123","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7300000190734863}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311649","display_name":"Ministry of Education","ror":"https://ror.org/036nq5137"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1821462560","https://openalex.org/W2034630211","https://openalex.org/W2133728753","https://openalex.org/W2156303437","https://openalex.org/W2342662179","https://openalex.org/W2342776425","https://openalex.org/W2507009361","https://openalex.org/W2580899942","https://openalex.org/W2731516819","https://openalex.org/W2739879705","https://openalex.org/W2769122686","https://openalex.org/W2782776028","https://openalex.org/W2886756692","https://openalex.org/W2916995828","https://openalex.org/W2963370182","https://openalex.org/W2963820951","https://openalex.org/W2963901365","https://openalex.org/W2970282336","https://openalex.org/W2990152177","https://openalex.org/W2991873135","https://openalex.org/W3035697644","https://openalex.org/W3094502228","https://openalex.org/W3138516171","https://openalex.org/W3161499148","https://openalex.org/W3163121740","https://openalex.org/W3174102142","https://openalex.org/W3194397797","https://openalex.org/W3214481436","https://openalex.org/W4214612132","https://openalex.org/W4226426325","https://openalex.org/W4312356418","https://openalex.org/W6631456553","https://openalex.org/W6638523607","https://openalex.org/W6682864246","https://openalex.org/W6724944384","https://openalex.org/W6740493225","https://openalex.org/W6745960190","https://openalex.org/W6746328268","https://openalex.org/W6759694589","https://openalex.org/W6766929808","https://openalex.org/W6770555885","https://openalex.org/W6784333009","https://openalex.org/W6800379668","https://openalex.org/W6804518665"],"related_works":["https://openalex.org/W3026162553","https://openalex.org/W2768175398","https://openalex.org/W2344382886","https://openalex.org/W19111321","https://openalex.org/W2412887479","https://openalex.org/W2953684491","https://openalex.org/W2015158429","https://openalex.org/W2080290893","https://openalex.org/W4283332100","https://openalex.org/W4361193049"],"abstract_inverted_index":{"As":[0],"an":[1],"important":[2],"work":[3,48],"in":[4],"computer":[5],"vision,":[6],"some":[7],"recent":[8],"representative":[9],"works":[10],"such":[11],"as":[12],"Two-stream":[13],"networks,":[14],"3D":[15],"ConvNets,":[16],"and":[17,36,53,121],"Transformer-based":[18],"networks":[19],"have":[20],"achieved":[21],"outstanding":[22],"performance.":[23],"However,":[24],"due":[25],"to":[26,132],"the":[27,31,41,50,65,89,94,103,129,139],"high":[28,144],"computational":[29,66,140],"cost,":[30],"explosion":[32],"of":[33,43,92,96],"computation":[34],"time":[35],"parameters,":[37],"they":[38],"cannot":[39,70],"meet":[40],"needs":[42],"real-time":[44,72],"applications.":[45,73],"The":[46],"current":[47],"utilizes":[49],"keyframes,":[51],"residual":[52],"motion":[54,134],"information":[55,122],"retained":[56],"by":[57],"compressed":[58,83],"video":[59,84],"for":[60,82],"computation,":[61],"which":[62,136],"greatly":[63],"reduces":[64,138],"effort":[67,141],"but":[68],"still":[69],"satisfy":[71],"Therefore,":[74],"we":[75,106,127],"propose":[76],"a":[77],"multi-teacher":[78],"fusion":[79,123],"distillation":[80,117],"framework":[81],"action":[85],"recognition":[86],"(MTFD).":[87],"Unlike":[88],"traditional":[90],"method":[91],"transferring":[93],"knowledge":[95,109,116],"single":[97],"or":[98],"multiple":[99],"teachers":[100],"directly":[101],"into":[102],"student":[104],"model,":[105],"also":[107],"perform":[108],"transfer":[110],"between":[111,124],"teachers.":[112,125],"MTFD":[113],"achieves":[114],"better":[115],"through":[118],"mutual":[119],"guidance":[120],"Furthermore,":[126],"improve":[128],"network\u2019s":[130],"ability":[131],"extract":[133],"information,":[135],"ultimately":[137],"while":[142],"maintaining":[143],"accuracy.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}