{"id":"https://openalex.org/W2904484817","doi":"https://doi.org/10.1145/3287921.3287972","title":"Two-stream Deep Residual Learning with Fisher Criterion for Human Action Recognition","display_name":"Two-stream Deep Residual Learning with Fisher Criterion for Human Action Recognition","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2904484817","doi":"https://doi.org/10.1145/3287921.3287972","mag":"2904484817"},"language":"en","primary_location":{"id":"doi:10.1145/3287921.3287972","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3287921.3287972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Ninth International Symposium on Information and Communication Technology - SoICT 2018","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/A5025948040","display_name":"Dinh Viet Sang","orcid":"https://orcid.org/0000-0002-9254-1327"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Dinh Viet Sang","raw_affiliation_strings":["Hanoi University of Science and Technology, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068202905","display_name":"Hoang Trung Dung","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Hoang Trung Dung","raw_affiliation_strings":["Hanoi University of Science and Technology, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I94518387"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"297","last_page":"304"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.7915818691253662},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.761764407157898},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6939738392829895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6473879218101501},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5824761986732483},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5738136768341064},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.4830628037452698},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.48109859228134155},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.47536152601242065},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4626942574977875},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38993963599205017},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.321174681186676},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1558857560157776},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.15475937724113464}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.7915818691253662},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.761764407157898},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6939738392829895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6473879218101501},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5824761986732483},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5738136768341064},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.4830628037452698},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.48109859228134155},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.47536152601242065},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4626942574977875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38993963599205017},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.321174681186676},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1558857560157776},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15475937724113464},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3287921.3287972","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3287921.3287972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Ninth International Symposium on Information and Communication Technology - SoICT 2018","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.75,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1576762698","https://openalex.org/W1686810756","https://openalex.org/W1981781955","https://openalex.org/W2017719567","https://openalex.org/W2063153269","https://openalex.org/W2097117768","https://openalex.org/W2112796928","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2201691068","https://openalex.org/W2520774990","https://openalex.org/W2605111198","https://openalex.org/W2725513608","https://openalex.org/W2784874046","https://openalex.org/W2786817236","https://openalex.org/W2952005526","https://openalex.org/W2952186347","https://openalex.org/W2963446712"],"related_works":["https://openalex.org/W3107204728","https://openalex.org/W3095152779","https://openalex.org/W3119773509","https://openalex.org/W3128220219","https://openalex.org/W3006353185","https://openalex.org/W4323060069","https://openalex.org/W1998222986","https://openalex.org/W1998413203","https://openalex.org/W2182357018","https://openalex.org/W2952005526"],"abstract_inverted_index":{"Action":[0],"recognition":[1],"is":[2],"one":[3],"of":[4,70],"the":[5,10,47,65,106],"most":[6],"important":[7],"areas":[8],"in":[9],"computer":[11],"vision":[12],"community.":[13],"Many":[14],"previous":[15],"work":[16],"use":[17],"two-stream":[18,57],"CNN":[19,58],"model":[20],"to":[21,63],"obtain":[22],"both":[23],"spatial":[24],"and":[25,37],"temporal":[26],"clues":[27],"for":[28],"predicting":[29],"task.":[30],"However,":[31],"two":[32,68],"stream":[33],"are":[34,61],"trained":[35,76],"separately":[36],"combined":[38],"later":[39],"by":[40],"late":[41],"fusion.":[42],"This":[43],"strategy":[44],"has":[45],"overlooked":[46],"spatial-temporal":[48],"features":[49,91],"interaction.":[50],"In":[51],"this":[52],"paper,":[53],"we":[54],"propose":[55],"new":[56],"architectures":[59],"that":[60,89,97],"able":[62],"learn":[64],"relation":[66],"between":[67],"kinds":[69],"features.":[71],"Furthermore,":[72],"they":[73],"can":[74],"be":[75],"end-to-end":[77],"with":[78],"standard":[79],"back":[80],"propagation":[81],"algorithm.":[82],"We":[83],"also":[84],"introduce":[85],"a":[86],"Fisher":[87,98],"loss":[88,99],"makes":[90],"more":[92],"discriminative.":[93],"The":[94],"experiments":[95],"show":[96],"yields":[100],"higher":[101],"accuracy":[102],"than":[103],"using":[104],"only":[105],"softmax":[107],"loss.":[108]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}