{"id":"https://openalex.org/W2953352063","doi":"https://doi.org/10.1109/lsp.2019.2923918","title":"Three-Stream Network With Bidirectional Self-Attention for Action Recognition in Extreme Low Resolution Videos","display_name":"Three-Stream Network With Bidirectional Self-Attention for Action Recognition in Extreme Low Resolution Videos","publication_year":2019,"publication_date":"2019-06-19","ids":{"openalex":"https://openalex.org/W2953352063","doi":"https://doi.org/10.1109/lsp.2019.2923918","mag":"2953352063"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2019.2923918","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2019.2923918","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-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/A5055405778","display_name":"Didik Purwanto","orcid":"https://orcid.org/0000-0001-7240-052X"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Didik Purwanto","raw_affiliation_strings":["Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040156484","display_name":"Rizard Renanda Adhi Pramono","orcid":"https://orcid.org/0000-0002-6668-5167"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Rizard Renanda Adhi Pramono","raw_affiliation_strings":["Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077826217","display_name":"Yie\u2010Tarng Chen","orcid":"https://orcid.org/0000-0002-7221-1603"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yie-Tarng Chen","raw_affiliation_strings":["Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111446401","display_name":"Wen\u2010Hsien Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Hsien Fang","raw_affiliation_strings":["Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I154864474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5055405778"],"corresponding_institution_ids":["https://openalex.org/I154864474"],"apc_list":null,"apc_paid":null,"fwci":3.2699,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.93895712,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"26","issue":"8","first_page":"1187","last_page":"1191"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9976000189781189,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9900000095367432,"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/computer-science","display_name":"Computer science","score":0.8678432106971741},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8266317248344421},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6603050231933594},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.5836231112480164},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5505011677742004},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5418726801872253},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.47874850034713745},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.44356441497802734},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36699509620666504},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.07684993743896484}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8678432106971741},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8266317248344421},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6603050231933594},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.5836231112480164},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5505011677742004},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5418726801872253},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.47874850034713745},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.44356441497802734},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36699509620666504},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.07684993743896484},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C188082640","wikidata":"https://www.wikidata.org/wiki/Q1780899","display_name":"Complementation","level":4,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"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/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2019.2923918","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2019.2923918","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1487602158","https://openalex.org/W1522734439","https://openalex.org/W1947481528","https://openalex.org/W1983781364","https://openalex.org/W2054515210","https://openalex.org/W2068611653","https://openalex.org/W2107591416","https://openalex.org/W2114380981","https://openalex.org/W2126579184","https://openalex.org/W2204710204","https://openalex.org/W2338957958","https://openalex.org/W2500356796","https://openalex.org/W2526578496","https://openalex.org/W2537024514","https://openalex.org/W2546919788","https://openalex.org/W2556685112","https://openalex.org/W2576275366","https://openalex.org/W2592877040","https://openalex.org/W2601485493","https://openalex.org/W2605111198","https://openalex.org/W2726947518","https://openalex.org/W2735525189","https://openalex.org/W2743671162","https://openalex.org/W2750400961","https://openalex.org/W2779911909","https://openalex.org/W2796633859","https://openalex.org/W2885352177","https://openalex.org/W2896457183","https://openalex.org/W2904017099","https://openalex.org/W2951183276","https://openalex.org/W2962697280","https://openalex.org/W2962972527","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2963524571","https://openalex.org/W2963660577","https://openalex.org/W2964347512","https://openalex.org/W4385245566","https://openalex.org/W6727716250","https://openalex.org/W6739901393","https://openalex.org/W6740527404","https://openalex.org/W6742926392","https://openalex.org/W6748546225","https://openalex.org/W6755207826","https://openalex.org/W6757051350"],"related_works":["https://openalex.org/W2073139667","https://openalex.org/W2729514902","https://openalex.org/W2024160000","https://openalex.org/W2773500201","https://openalex.org/W2061273563","https://openalex.org/W2285052147","https://openalex.org/W4287995534","https://openalex.org/W2743258233","https://openalex.org/W2998168123","https://openalex.org/W1972656095"],"abstract_inverted_index":{"This":[0],"letter":[1],"presents":[2],"a":[3,73],"novel":[4],"three-stream":[5,48,81],"network":[6,24,49,76,82],"for":[7],"action":[8,122],"recognition":[9,123],"in":[10,68],"extreme":[11,120],"low":[12],"resolution":[13],"(LR)":[14],"videos.":[15,71],"In":[16],"contrast":[17],"to":[18,40,62,83,101],"the":[19,22,26,37,42,46,53,80,90,103,106,113,117,126],"existing":[20],"networks,":[21],"new":[23,47,94,114],"uses":[25],"trajectory-spatial":[27],"network,":[28],"which":[29],"is":[30,50,77,97],"robust":[31],"against":[32],"visual":[33],"distortion,":[34],"instead":[35],"of":[36],"pose":[38],"information":[39,104],"complement":[41],"two-stream":[43],"network.":[44],"Also,":[45],"combined":[51],"with":[52,79],"inflated":[54],"3D":[55],"ConvNet":[56],"(I3D)":[57],"model":[58],"pre-trained":[59],"on":[60,125],"kinetics":[61],"produce":[63],"more":[64],"discriminative":[65],"spatio-temporal":[66,91],"features":[67],"blurred":[69],"LR":[70,121],"Moreover,":[72],"bidirectional":[74],"self-attention":[75],"aggregated":[78],"further":[84],"manifest":[85],"various":[86],"temporal":[87],"dependence":[88],"among":[89],"features.":[92],"A":[93],"fusion":[95],"strategy":[96],"devised":[98],"as":[99],"well":[100],"integrate":[102],"from":[105],"three":[107],"different":[108],"modalities.":[109],"Simulations":[110],"show":[111],"that":[112],"architecture":[115],"outperforms":[116],"main":[118],"state-of-the-art":[119],"methods":[124],"HMDB-51":[127],"and":[128],"IXMAS":[129],"datasets.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
