{"id":"https://openalex.org/W3093212496","doi":"https://doi.org/10.1109/ipta50016.2020.9286629","title":"Features Understanding in 3D CNNs for Actions Recognition in Video","display_name":"Features Understanding in 3D CNNs for Actions Recognition in Video","publication_year":2020,"publication_date":"2020-11-09","ids":{"openalex":"https://openalex.org/W3093212496","doi":"https://doi.org/10.1109/ipta50016.2020.9286629","mag":"3093212496"},"language":"en","primary_location":{"id":"doi:10.1109/ipta50016.2020.9286629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta50016.2020.9286629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA)","raw_type":"proceedings-article"},"type":"preprint","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/A5062137170","display_name":"Kazi Ahmed Asif Fuad","orcid":"https://orcid.org/0000-0002-0478-5891"},"institutions":[{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]},{"id":"https://openalex.org/I4210142254","display_name":"Laboratoire Bordelais de Recherche en Informatique","ror":"https://ror.org/03adqg323","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210142254","https://openalex.org/I4210159245","https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Kazi Ahmed Asif Fuad","raw_affiliation_strings":["CNRS, Bordeaux INP, LaBRI, UMR 5800, Univ. Bordeaux, France"],"affiliations":[{"raw_affiliation_string":"CNRS, Bordeaux INP, LaBRI, UMR 5800, Univ. Bordeaux, France","institution_ids":["https://openalex.org/I4210160189","https://openalex.org/I4210142254","https://openalex.org/I15057530","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059074784","display_name":"Pierre-Etienne Martin","orcid":"https://orcid.org/0000-0002-9593-4580"},"institutions":[{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]},{"id":"https://openalex.org/I4210142254","display_name":"Laboratoire Bordelais de Recherche en Informatique","ror":"https://ror.org/03adqg323","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210142254","https://openalex.org/I4210159245","https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pierre-Etienne Martin","raw_affiliation_strings":["CNRS, Bordeaux INP, LaBRI, UMR 5800, Univ. Bordeaux, France"],"affiliations":[{"raw_affiliation_string":"CNRS, Bordeaux INP, LaBRI, UMR 5800, Univ. Bordeaux, France","institution_ids":["https://openalex.org/I4210160189","https://openalex.org/I4210142254","https://openalex.org/I15057530","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051172582","display_name":"Romain Giot","orcid":"https://orcid.org/0000-0002-0638-7504"},"institutions":[{"id":"https://openalex.org/I4210142254","display_name":"Laboratoire Bordelais de Recherche en Informatique","ror":"https://ror.org/03adqg323","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210142254","https://openalex.org/I4210159245","https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Romain Giot","raw_affiliation_strings":["CNRS, Bordeaux INP, LaBRI, UMR 5800, Univ. Bordeaux, France"],"affiliations":[{"raw_affiliation_string":"CNRS, Bordeaux INP, LaBRI, UMR 5800, Univ. Bordeaux, France","institution_ids":["https://openalex.org/I4210160189","https://openalex.org/I4210142254","https://openalex.org/I15057530","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073678051","display_name":"Romain Bourqui","orcid":"https://orcid.org/0000-0002-1847-2589"},"institutions":[{"id":"https://openalex.org/I4210142254","display_name":"Laboratoire Bordelais de Recherche en Informatique","ror":"https://ror.org/03adqg323","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210142254","https://openalex.org/I4210159245","https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Romain Bourqui","raw_affiliation_strings":["CNRS, Bordeaux INP, LaBRI, UMR 5800, Univ. Bordeaux, France"],"affiliations":[{"raw_affiliation_string":"CNRS, Bordeaux INP, LaBRI, UMR 5800, Univ. Bordeaux, France","institution_ids":["https://openalex.org/I4210160189","https://openalex.org/I4210142254","https://openalex.org/I15057530","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089758511","display_name":"Jenny Benois\u2010Pineau","orcid":"https://orcid.org/0000-0003-0659-8894"},"institutions":[{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210142254","display_name":"Laboratoire Bordelais de Recherche en Informatique","ror":"https://ror.org/03adqg323","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210142254","https://openalex.org/I4210159245","https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jenny Benois-Pineau","raw_affiliation_strings":["CNRS, Bordeaux INP, LaBRI, UMR 5800, Univ. Bordeaux, France"],"affiliations":[{"raw_affiliation_string":"CNRS, Bordeaux INP, LaBRI, UMR 5800, Univ. Bordeaux, France","institution_ids":["https://openalex.org/I4210160189","https://openalex.org/I4210142254","https://openalex.org/I15057530","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084035589","display_name":"Akka Zemmari","orcid":"https://orcid.org/0000-0002-9776-0449"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I4210142254","display_name":"Laboratoire Bordelais de Recherche en Informatique","ror":"https://ror.org/03adqg323","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210142254","https://openalex.org/I4210159245","https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Akka Zemmari","raw_affiliation_strings":["CNRS, Bordeaux INP, LaBRI, UMR 5800, Univ. Bordeaux, France"],"affiliations":[{"raw_affiliation_string":"CNRS, Bordeaux INP, LaBRI, UMR 5800, Univ. Bordeaux, France","institution_ids":["https://openalex.org/I4210160189","https://openalex.org/I4210142254","https://openalex.org/I15057530","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5062137170"],"corresponding_institution_ids":["https://openalex.org/I15057530","https://openalex.org/I4210142254","https://openalex.org/I1294671590","https://openalex.org/I4210160189"],"apc_list":null,"apc_paid":null,"fwci":1.25960781,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.81475261,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9990000128746033,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9850000143051147,"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":0.813918948173523},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7928783297538757},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7643284201622009},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6435040831565857},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.622647762298584},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6177554130554199},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5968079566955566},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.47900670766830444},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.45150765776634216},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41593897342681885},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3688081204891205},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.334465891122818},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17640388011932373}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.813918948173523},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7928783297538757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7643284201622009},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6435040831565857},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.622647762298584},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6177554130554199},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5968079566955566},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.47900670766830444},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.45150765776634216},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41593897342681885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3688081204891205},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.334465891122818},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17640388011932373},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipta50016.2020.9286629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta50016.2020.9286629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W65124300","https://openalex.org/W2123045220","https://openalex.org/W2235034809","https://openalex.org/W2556967412","https://openalex.org/W2590082389","https://openalex.org/W2618481090","https://openalex.org/W2778172371","https://openalex.org/W2891612330","https://openalex.org/W2949846184","https://openalex.org/W2953073956","https://openalex.org/W2962680264","https://openalex.org/W2962851944","https://openalex.org/W2962858109","https://openalex.org/W2963214037","https://openalex.org/W2963382180","https://openalex.org/W2963503775","https://openalex.org/W2963524571","https://openalex.org/W2971276633","https://openalex.org/W2973136764","https://openalex.org/W3016762899","https://openalex.org/W6677995690","https://openalex.org/W6685133223","https://openalex.org/W6729983426","https://openalex.org/W6733905848","https://openalex.org/W6738545152","https://openalex.org/W6747997820","https://openalex.org/W6754669440"],"related_works":["https://openalex.org/W2068608913","https://openalex.org/W4293226380","https://openalex.org/W3124914020","https://openalex.org/W2141033859","https://openalex.org/W2077542787","https://openalex.org/W2156434174","https://openalex.org/W2071701083","https://openalex.org/W2383687187","https://openalex.org/W2121496884","https://openalex.org/W2762689969"],"abstract_inverted_index":{"Human":[0],"Action":[1],"Recognition":[2],"is":[3,44,89,109,125,144,204],"one":[4],"of":[5,57,76,85,153,167,196],"the":[6,58,64,67,72,92,97,104,128,147,154,193],"key":[7,52],"tasks":[8],"in":[9,54,99,165],"video":[10],"understanding.":[11],"Deep":[12],"Convolutional":[13,132],"Neural":[14,133],"Networks":[15],"(CNN)":[16],"are":[17,158,179],"often":[18],"used":[19],"for":[20,137,199],"this":[21],"purpose.":[22],"Although":[23],"they":[24],"usually":[25],"perform":[26],"impressively,":[27],"their":[28],"decision":[29,55],"interpretation":[30],"remains":[31],"challenging.":[32],"We":[33],"propose":[34],"a":[35,51,77],"novel":[36],"visual":[37],"CNN":[38],"features":[39,48,65],"understanding":[40,169],"technique.":[41],"Its":[42],"objective":[43],"to":[45,91,103,127,160,181],"find":[46],"salient":[47],"that":[49,101,176],"played":[50],"role":[53],"making":[56],"network.":[59,155],"The":[60,87,107,173],"technique":[61,124],"only":[62],"uses":[63],"from":[66],"last":[68],"convolutional":[69],"layer":[70],"before":[71],"fully":[73],"connected":[74],"layers":[75],"trained":[78],"model":[79],"and":[80,149,170,201,206],"builds":[81],"an":[82],"importance":[83],"map":[84,88],"features.":[86],"propagated":[90],"original":[93],"frame":[94],"thus":[95],"highlighting":[96],"regions":[98],"them":[100],"contribute":[102],"final":[105],"decision.":[106],"method":[108,203],"fast":[110],"as":[111,118],"it":[112],"does":[113],"not":[114],"require":[115],"gradient":[116],"computation":[117],"many":[119],"state-of-the-art":[120],"methods":[121],"do.":[122],"Proposed":[123],"applied":[126],"Twin":[129],"Spatio-Temporal":[130],"3D":[131],"Network":[134],"(TSTCNN),":[135],"designed":[136],"Table":[138],"Tennis":[139],"Actions":[140],"recognition.":[141],"Features":[142],"visualization":[143,162],"performed":[145],"at":[146],"RGB":[148,197],"Optical":[150,209],"flow":[151],"branches":[152],"Obtained":[156],"results":[157],"compared":[159],"other":[161],"techniques":[163],"both":[164],"terms":[166],"human":[168],"similarity":[171],"metrics.":[172],"metrics":[174],"show":[175],"generated":[177,195],"maps":[178,194],"similar":[180],"those":[182],"obtained":[183],"with":[184],"known":[185],"Grad-CAM":[186,200],"method,":[187],"e.g.":[188],"Pearson":[189],"Correlation":[190],"Coefficient":[191],"between":[192],"data":[198],"our":[202],"0.7\u00b10.05":[205],"0.72\u00b10.06":[207],"on":[208],"Flow":[210],"data.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
