{"id":"https://openalex.org/W2327838731","doi":"https://doi.org/10.1109/devlrn.2014.6982987","title":"Multiple spatio-temporal scales neural network for contextual visual recognition of human actions","display_name":"Multiple spatio-temporal scales neural network for contextual visual recognition of human actions","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2327838731","doi":"https://doi.org/10.1109/devlrn.2014.6982987","mag":"2327838731"},"language":"en","primary_location":{"id":"doi:10.1109/devlrn.2014.6982987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/devlrn.2014.6982987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"4th International Conference on Development and Learning and on Epigenetic Robotics","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/A5101411019","display_name":"Minju Jung","orcid":"https://orcid.org/0000-0002-7396-4770"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Minju Jung","raw_affiliation_strings":["KAIST Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"KAIST Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084630369","display_name":"Jungsik Hwang","orcid":"https://orcid.org/0000-0003-2782-1514"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jungsik Hwang","raw_affiliation_strings":["KAIST Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"KAIST Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000727773","display_name":"Jun Tani","orcid":"https://orcid.org/0000-0002-9131-9206"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jun Tani","raw_affiliation_strings":["KAIST Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"KAIST Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101411019"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":1.2194,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.84307342,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"235","last_page":"241"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9987000226974487,"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/T10320","display_name":"Neural Networks and Applications","score":0.995199978351593,"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":0.8100578784942627},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6850188970565796},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6596933603286743},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5710210800170898},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5323726534843445},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5267341136932373},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5174551606178284},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.49826931953430176},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.4712883532047272},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.45640313625335693},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4143088459968567},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35899800062179565}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8100578784942627},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6850188970565796},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6596933603286743},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5710210800170898},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5323726534843445},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5267341136932373},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5174551606178284},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.49826931953430176},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.4712883532047272},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.45640313625335693},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4143088459968567},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35899800062179565},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/devlrn.2014.6982987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/devlrn.2014.6982987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"4th International Conference on Development and Learning and on Epigenetic Robotics","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":27,"referenced_works":["https://openalex.org/W28988658","https://openalex.org/W45528431","https://openalex.org/W1983364832","https://openalex.org/W2007997142","https://openalex.org/W2010399676","https://openalex.org/W2028418738","https://openalex.org/W2085848279","https://openalex.org/W2112796928","https://openalex.org/W2117683888","https://openalex.org/W2120591602","https://openalex.org/W2130325614","https://openalex.org/W2136853139","https://openalex.org/W2136917337","https://openalex.org/W2136922672","https://openalex.org/W2139427956","https://openalex.org/W2140223865","https://openalex.org/W2156163116","https://openalex.org/W2163605009","https://openalex.org/W2163973188","https://openalex.org/W2166302491","https://openalex.org/W4238404964","https://openalex.org/W4249279051","https://openalex.org/W4285719527","https://openalex.org/W4300402905","https://openalex.org/W6601909474","https://openalex.org/W6680618930","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2365264209","https://openalex.org/W962203960","https://openalex.org/W2026999166","https://openalex.org/W4293226380","https://openalex.org/W1996802783","https://openalex.org/W2509431957","https://openalex.org/W4211007821","https://openalex.org/W2802395037","https://openalex.org/W4389565704","https://openalex.org/W1976216854"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,105,133],"novel":[4],"dynamic":[5,12,141],"neural":[6,68,76,99],"network":[7,69,77,100],"model":[8,24,44,84,96,129],"which":[9,62],"can":[10],"recognize":[11],"visual":[13,40,142],"image":[14,41],"patterns":[15,125],"of":[16,30,82,104,107,118,121,139],"human":[17,109],"actions":[18],"based":[19],"on":[20],"learning.":[21],"The":[22,43,80],"proposed":[23,95],"is":[25,130],"characterized":[26],"by":[27,48,87],"its":[28],"capability":[29,135],"extracting":[31],"the":[32,38,66,72,83,89,94,128],"spatio-temporal":[33],"feature":[34],"hierarchy":[35],"latent":[36],"in":[37,102],"training":[39],"streams.":[42],"achieves":[45],"this":[46],"property":[47],"integrating":[49],"two":[50],"essential":[51],"ideas:":[52],"(1)":[53],"multiple":[54,59,73],"spatial-scales":[55],"processing":[56],"and":[57,71],"(2)":[58],"timescales":[60],"processing,":[61],"have":[63],"been":[64],"introduced":[65],"convolutional":[67],"(CNN)":[70],"timescale":[74],"recurrent":[75],"(MTRNN),":[78],"respectively.":[79],"evaluation":[81,114],"performance":[85],"conducted":[86],"utilizing":[88],"Weizmann":[90],"dataset":[91],"showed":[92],"that":[93,127],"outperforms":[97],"other":[98],"models":[101],"recognition":[103,117,138],"set":[106],"prototypical":[108,123],"movement":[110,124],"patterns.":[111,143],"Furthermore,":[112],"additional":[113],"testing":[115],"for":[116,136],"concatenated":[119],"sequences":[120],"these":[122],"indicates":[126],"endowed":[131],"with":[132],"remarkable":[134],"contextual":[137],"long-range":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
