{"id":"https://openalex.org/W2725304171","doi":"https://doi.org/10.1109/siu.2017.7960731","title":"Action recognition with deep neural networks","display_name":"Action recognition with deep neural networks","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2725304171","doi":"https://doi.org/10.1109/siu.2017.7960731","mag":"2725304171"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2017.7960731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","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/A5016693560","display_name":"Metehan Doyran","orcid":"https://orcid.org/0000-0002-9016-955X"},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]},{"id":"https://openalex.org/I2799978770","display_name":"X-Fab (Germany)","ror":"https://ror.org/030bh9196","country_code":"DE","type":"company","lineage":["https://openalex.org/I2799978770"]}],"countries":["DE","TR"],"is_corresponding":true,"raw_author_name":"Metehan Doyran","raw_affiliation_strings":["Bilgisayar Mühendisliği, Boğaziçi Üniversitesi, İstanbul, Türkiye","Bilgisayar M\u00fchendisli\u011fi, Bo\u011fazi\u00e7i \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Bilgisayar Mühendisliği, Boğaziçi Üniversitesi, İstanbul, Türkiye","institution_ids":["https://openalex.org/I2799978770"]},{"raw_affiliation_string":"Bilgisayar M\u00fchendisli\u011fi, Bo\u011fazi\u00e7i \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye","institution_ids":["https://openalex.org/I4405392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023421723","display_name":"Yi\u011fit Y\u0131ld\u0131r\u0131m","orcid":"https://orcid.org/0000-0002-2176-5884"},"institutions":[{"id":"https://openalex.org/I2799978770","display_name":"X-Fab (Germany)","ror":"https://ror.org/030bh9196","country_code":"DE","type":"company","lineage":["https://openalex.org/I2799978770"]},{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["DE","TR"],"is_corresponding":false,"raw_author_name":"Yigit Y\u0131ld\u0131r\u0131m","raw_affiliation_strings":["Bilgisayar Mühendisliği, Boğaziçi Üniversitesi, İstanbul, Türkiye","Bilgisayar M\u00fchendisli\u011fi, Bo\u011fazi\u00e7i \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Bilgisayar Mühendisliği, Boğaziçi Üniversitesi, İstanbul, Türkiye","institution_ids":["https://openalex.org/I2799978770"]},{"raw_affiliation_string":"Bilgisayar M\u00fchendisli\u011fi, Bo\u011fazi\u00e7i \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye","institution_ids":["https://openalex.org/I4405392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105769246","display_name":"Albert Ali Salah","orcid":"https://orcid.org/0000-0001-6342-428X"},"institutions":[{"id":"https://openalex.org/I2799978770","display_name":"X-Fab (Germany)","ror":"https://ror.org/030bh9196","country_code":"DE","type":"company","lineage":["https://openalex.org/I2799978770"]},{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["DE","TR"],"is_corresponding":false,"raw_author_name":"Albert Ali Salah","raw_affiliation_strings":["Bilgisayar Mühendisliği, Boğaziçi Üniversitesi, İstanbul, Türkiye","Bilgisayar M\u00fchendisli\u011fi, Bo\u011fazi\u00e7i \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Bilgisayar Mühendisliği, Boğaziçi Üniversitesi, İstanbul, Türkiye","institution_ids":["https://openalex.org/I2799978770"]},{"raw_affiliation_string":"Bilgisayar M\u00fchendisli\u011fi, Bo\u011fazi\u00e7i \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye","institution_ids":["https://openalex.org/I4405392"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016693560"],"corresponding_institution_ids":["https://openalex.org/I2799978770","https://openalex.org/I4405392"],"apc_list":null,"apc_paid":null,"fwci":0.091,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44406603,"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":"1","last_page":"4"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9958999752998352,"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":0.9918000102043152,"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":0.7173803448677063},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7165625095367432},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.7098594903945923},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.6663536429405212},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6265187859535217},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6239912509918213},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5188233256340027},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.502636194229126},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4842252731323242},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44798946380615234},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.0985642671585083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7173803448677063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7165625095367432},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.7098594903945923},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.6663536429405212},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6265187859535217},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6239912509918213},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5188233256340027},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.502636194229126},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4842252731323242},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44798946380615234},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0985642671585083},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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:10.1109/siu.2017.7960731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1849277567","https://openalex.org/W1983364832","https://openalex.org/W2008056655","https://openalex.org/W2111072639","https://openalex.org/W2163605009","https://openalex.org/W2337252826","https://openalex.org/W2466991859","https://openalex.org/W2963218601","https://openalex.org/W4236137412","https://openalex.org/W6639204139","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W4375867731","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2530420969","https://openalex.org/W4224922629"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3],"have":[4,21],"invesigated":[5],"the":[6,11,23,41,49],"action":[7,18],"recognition":[8],"problem":[9],"using":[10],"Charades":[12],"Action":[13],"Recognition":[14],"Dataset":[15],"with":[16,44],"157":[17],"classes.":[19],"We":[20],"compared":[22],"results":[24],"of":[25],"different":[26],"techniques":[27],"such":[28],"as":[29],"extreme":[30],"learning":[31],"machines,":[32,35],"support":[33],"vector":[34],"and":[36,48],"decision":[37],"trees,":[38],"applied":[39],"on":[40],"features":[42],"extracted":[43],"deep":[45],"neural":[46],"networks":[47],"scene-action":[50],"conditional":[51],"probabilities.":[52]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}