{"id":"https://openalex.org/W4399658895","doi":"https://doi.org/10.1145/3641584.3641646","title":"STDN: A SpatioTemporal Difference Network for Video Action Recognition","display_name":"STDN: A SpatioTemporal Difference Network for Video Action Recognition","publication_year":2023,"publication_date":"2023-09-22","ids":{"openalex":"https://openalex.org/W4399658895","doi":"https://doi.org/10.1145/3641584.3641646"},"language":"en","primary_location":{"id":"doi:10.1145/3641584.3641646","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3641584.3641646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Artificial Intelligence and Pattern Recognition (AIPR)","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/A5021047777","display_name":"Zhao Guo","orcid":"https://orcid.org/0009-0001-8773-3148"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhao Guo","raw_affiliation_strings":["School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0009-0001-8773-3148","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076911583","display_name":"Yuelei Xiao","orcid":"https://orcid.org/0000-0001-9516-1947"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuelei Xiao","raw_affiliation_strings":["School of Modern Posts, Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0001-9516-1947","affiliations":[{"raw_affiliation_string":"School of Modern Posts, Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110699041","display_name":"yi Jun Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"yi Jun Li","raw_affiliation_strings":["School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0009-0009-4079-4881","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050664717","display_name":"Cheng Fan","orcid":"https://orcid.org/0009-0005-2511-4586"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Fan","raw_affiliation_strings":["School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0009-0005-2511-4586","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5021047777"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.1177,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47153559,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"421","last_page":"426"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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":1.0,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7189989686012268},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.7004357576370239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45573481917381287},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.45103228092193604},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4009912312030792},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3364545404911041}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7189989686012268},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.7004357576370239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45573481917381287},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.45103228092193604},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4009912312030792},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3364545404911041},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3641584.3641646","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3641584.3641646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Artificial Intelligence and Pattern Recognition (AIPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1981276685","https://openalex.org/W2526468814","https://openalex.org/W2625366777","https://openalex.org/W2988630963","https://openalex.org/W2996901793","https://openalex.org/W3185943380","https://openalex.org/W4205541408","https://openalex.org/W4234552385","https://openalex.org/W4242177601","https://openalex.org/W4281752744","https://openalex.org/W4282964635","https://openalex.org/W4283257280","https://openalex.org/W4319299930","https://openalex.org/W6601205648","https://openalex.org/W6602530451","https://openalex.org/W6684083149"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Video":[0],"action":[1,46,73],"recognition":[2,74],"is":[3,105],"a":[4,97],"challenging":[5],"task":[6],"in":[7,30,53],"the":[8,15,27,34,123,142,158],"realm":[9],"of":[10,17,144],"computer":[11],"vision,":[12],"which":[13],"necessitates":[14],"acquisition":[16],"diverse":[18,130],"and":[19,22,89,112,134,154],"dynamic":[20],"temporal":[21,32],"spatial":[23],"information.":[24,57],"Due":[25],"to":[26,107],"promising":[28],"results":[29,140],"capturing":[31,128],"dynamics,":[33],"Temporal":[35],"Difference":[36,68],"Network":[37,69],"(TDN)":[38],"has":[39],"become":[40],"an":[41,65],"important":[42],"method":[43,83,148],"for":[44,71],"video":[45,72],"recognition.":[47],"However,":[48],"it":[49,121],"still":[50],"encounters":[51],"issues":[52],"effectively":[54],"fusing":[55],"spatiotemporal":[56,77,91,131],"To":[58],"overcome":[59],"these":[60],"issues,":[61],"this":[62],"study":[63],"proposes":[64],"innovative":[66],"SpatioTemporal":[67],"(STDN)":[70],"based":[75],"on":[76,149,157],"information":[78,133],"fusion.":[79],"The":[80,102,138],"proposed":[81,146],"STDN":[82,147],"improves":[84],"upon":[85],"TDN":[86],"by":[87,127],"devising":[88],"integrating":[90],"residual":[92],"block":[93],"(MSRB),":[94],"each":[95],"comprising":[96],"Multi-path":[98],"Excitation":[99],"(MPE)":[100],"module.":[101],"MPE":[103],"module":[104],"tailored":[106],"selectively":[108],"activate":[109],"informative":[110],"features":[111],"suppress":[113],"unimportant":[114],"ones":[115],"through":[116],"adaptive":[117],"feature":[118,132],"weighting.":[119],"Thus,":[120],"enhances":[122],"network's":[124],"discriminative":[125],"power":[126],"more":[129],"modeling":[135],"inter-channel":[136],"relationships.":[137],"experimental":[139],"demonstrate":[141],"effectiveness":[143],"our":[145],"standard":[150],"benchmarks,":[151],"achieving":[152],"2.9%":[153],"1.2%":[155],"improvement":[156],"Something-Something":[159],"V1":[160],"&":[161],"V2":[162],"datasets,":[163],"respectively.":[164]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
