{"id":"https://openalex.org/W2996029712","doi":"https://doi.org/10.1145/3371425.3371491","title":"Cross-enhancement transform two-stream 3D ConvNets for action recognition","display_name":"Cross-enhancement transform two-stream 3D ConvNets for action recognition","publication_year":2019,"publication_date":"2019-12-10","ids":{"openalex":"https://openalex.org/W2996029712","doi":"https://doi.org/10.1145/3371425.3371491","mag":"2996029712"},"language":"en","primary_location":{"id":"doi:10.1145/3371425.3371491","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3371425.3371491","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Artificial Intelligence, Information Processing and Cloud Computing","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/A5076212588","display_name":"Dong Cao","orcid":"https://orcid.org/0000-0001-8793-4401"},"institutions":[{"id":"https://openalex.org/I4401726871","display_name":"Deepblue Technology (China)","ror":"https://ror.org/01n015v70","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726871"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Cao","raw_affiliation_strings":["DeepBlue Technology (Shanghai) Co., Ltd., Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DeepBlue Technology (Shanghai) Co., Ltd., Shanghai, China","institution_ids":["https://openalex.org/I4401726871"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100548443","display_name":"Lisha Xu","orcid":"https://orcid.org/0009-0002-6554-4167"},"institutions":[{"id":"https://openalex.org/I4401726871","display_name":"Deepblue Technology (China)","ror":"https://ror.org/01n015v70","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726871"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lisha Xu","raw_affiliation_strings":["DeepBlue Technology (Shanghai) Co., Ltd., Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DeepBlue Technology (Shanghai) Co., Ltd., Shanghai, China","institution_ids":["https://openalex.org/I4401726871"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100416380","display_name":"Dongdong Zhang","orcid":"https://orcid.org/0000-0002-8619-2140"},"institutions":[{"id":"https://openalex.org/I4401726871","display_name":"Deepblue Technology (China)","ror":"https://ror.org/01n015v70","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726871"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongdong Zhang","raw_affiliation_strings":["DeepBlue Technology (Shanghai) Co., Ltd., Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DeepBlue Technology (Shanghai) Co., Ltd., Shanghai, China","institution_ids":["https://openalex.org/I4401726871"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4401726871"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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":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":0.9955999851226807,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9905999898910522,"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":0.8180381059646606},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.7141292691230774},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6022626161575317},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5751585960388184},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4393554925918579},{"id":"https://openalex.org/keywords/streams","display_name":"STREAMS","score":0.4300653040409088},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42289024591445923},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3718554377555847}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8180381059646606},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.7141292691230774},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6022626161575317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5751585960388184},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4393554925918579},{"id":"https://openalex.org/C42090638","wikidata":"https://www.wikidata.org/wiki/Q4048907","display_name":"STREAMS","level":2,"score":0.4300653040409088},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42289024591445923},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3718554377555847},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3371425.3371491","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3371425.3371491","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Artificial Intelligence, Information Processing and Cloud Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W764651262","https://openalex.org/W1522734439","https://openalex.org/W1578985305","https://openalex.org/W1586730761","https://openalex.org/W1947481528","https://openalex.org/W1983364832","https://openalex.org/W2016053056","https://openalex.org/W2105101328","https://openalex.org/W2126574503","https://openalex.org/W2126579184","https://openalex.org/W2142194269","https://openalex.org/W2158169396","https://openalex.org/W2235034809","https://openalex.org/W2326533993","https://openalex.org/W2342662179","https://openalex.org/W2507009361","https://openalex.org/W2550143307","https://openalex.org/W2560474170","https://openalex.org/W2593390416","https://openalex.org/W2595840341","https://openalex.org/W2947084868","https://openalex.org/W2951309005","https://openalex.org/W2951864506","https://openalex.org/W2952186347","https://openalex.org/W2953111739","https://openalex.org/W2962946266","https://openalex.org/W2962972527","https://openalex.org/W2963524571","https://openalex.org/W2963886665","https://openalex.org/W2966758596","https://openalex.org/W2994037706","https://openalex.org/W4297683907"],"related_works":["https://openalex.org/W2010317732","https://openalex.org/W2483328176","https://openalex.org/W2061705145","https://openalex.org/W193205649","https://openalex.org/W45006177","https://openalex.org/W2016919266","https://openalex.org/W1982793386","https://openalex.org/W2537623333","https://openalex.org/W1576128429","https://openalex.org/W2269464716"],"abstract_inverted_index":{"Action":[0],"recognition":[1],"is":[2,11,34,81],"an":[3],"important":[4],"research":[5],"topic":[6],"in":[7,22,30,39,78,85],"computer":[8],"vision.":[9],"It":[10],"the":[12,62,67,92,107,115,118],"basic":[13],"work":[14],"for":[15],"visual":[16],"understanding":[17],"and":[18,95,112,114],"has":[19],"been":[20],"applied":[21],"many":[23],"fields.":[24],"Since":[25],"human":[26],"actions":[27,38],"can":[28],"vary":[29],"different":[31,41],"environments,":[32],"it":[33],"difficult":[35],"to":[36,83,100],"infer":[37,101],"completely":[40],"states":[42],"with":[43,75],"a":[44,53,71],"same":[45],"structural":[46],"model.":[47],"For":[48],"this":[49,90],"case,":[50],"we":[51],"propose":[52],"Cross-Enhancement":[54],"Transform":[55],"Two-Stream":[56],"3D":[57],"ConvNets":[58],"algorithm,":[59],"which":[60],"considers":[61],"action":[63],"distribution":[64],"characteristics":[65],"on":[66,106],"specific":[68],"dataset.":[69],"As":[70],"teaching":[72],"model,":[73],"stream":[74,94,97],"better":[76],"performance":[77],"both":[79],"streams":[80],"expected":[82],"assist":[84],"training":[86],"another":[87],"stream.":[88],"In":[89],"way,":[91],"enhanced-trained":[93],"teacher":[96],"are":[98],"combined":[99],"actions.":[102],"We":[103],"implement":[104],"experiments":[105],"video":[108],"datasets":[109],"UCF-101,":[110],"HMDB-51,":[111],"Kinetics-400,":[113],"results":[116],"confirm":[117],"effectiveness":[119],"of":[120],"our":[121],"algorithm.":[122]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
