{"id":"https://openalex.org/W2970159575","doi":"https://doi.org/10.1109/icip.2019.8803382","title":"Fine-Grained Action Detection and Classification in Table Tennis with Siamese Spatio-Temporal Convolutional Neural Network","display_name":"Fine-Grained Action Detection and Classification in Table Tennis with Siamese Spatio-Temporal Convolutional Neural Network","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970159575","doi":"https://doi.org/10.1109/icip.2019.8803382","mag":"2970159575"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-02326229","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059074784","display_name":"Pierre-Etienne Martin","orcid":"https://orcid.org/0000-0002-9593-4580"},"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/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":true,"raw_author_name":"Pierre-Etienne Martin","raw_affiliation_strings":["Univ. Bordeaux, Talence, France","UB - Universit\u00e9 de Bordeaux (35, place Pey Berland - 33076 Bordeaux - France)","LaBRI - Laboratoire Bordelais de Recherche en Informatique (Domaine Universitaire 351, cours de la Lib\u00e9ration 33405 Talence Cedex - France)"],"affiliations":[{"raw_affiliation_string":"Univ. Bordeaux, Talence, France","institution_ids":["https://openalex.org/I15057530"]},{"raw_affiliation_string":"UB - Universit\u00e9 de Bordeaux (35, place Pey Berland - 33076 Bordeaux - France)","institution_ids":["https://openalex.org/I15057530"]},{"raw_affiliation_string":"LaBRI - Laboratoire Bordelais de Recherche en Informatique (Domaine Universitaire 351, cours de la Lib\u00e9ration 33405 Talence Cedex - France)","institution_ids":["https://openalex.org/I4210142254"]}]},{"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/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"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jenny Benois-Pineau","raw_affiliation_strings":["Univ. Bordeaux, Talence, France","LaBRI - Laboratoire Bordelais de Recherche en Informatique (Domaine Universitaire 351, cours de la Lib\u00e9ration 33405 Talence Cedex - France)"],"affiliations":[{"raw_affiliation_string":"Univ. Bordeaux, Talence, France","institution_ids":["https://openalex.org/I15057530"]},{"raw_affiliation_string":"LaBRI - Laboratoire Bordelais de Recherche en Informatique (Domaine Universitaire 351, cours de la Lib\u00e9ration 33405 Talence Cedex - France)","institution_ids":["https://openalex.org/I4210142254"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033584246","display_name":"Renaud P\u00e9teri","orcid":null},"institutions":[{"id":"https://openalex.org/I78744979","display_name":"La Rochelle Universit\u00e9","ror":"https://ror.org/04mv1z119","country_code":"FR","type":"education","lineage":["https://openalex.org/I78744979"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Renaud Peteri","raw_affiliation_strings":["La Rochelle University, La Rochelle, France","MIA - Math\u00e9matiques, Image et Applications - EA 3165 (B\u00e2timent Pascal Avenue Michel Cr\u00e9peau F-17042 La Rochelle Cedex 1 - France)"],"affiliations":[{"raw_affiliation_string":"La Rochelle University, La Rochelle, France","institution_ids":["https://openalex.org/I78744979"]},{"raw_affiliation_string":"MIA - Math\u00e9matiques, Image et Applications - EA 3165 (B\u00e2timent Pascal Avenue Michel Cr\u00e9peau F-17042 La Rochelle Cedex 1 - France)","institution_ids":["https://openalex.org/I78744979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059074784"],"corresponding_institution_ids":["https://openalex.org/I15057530","https://openalex.org/I4210142254"],"apc_list":null,"apc_paid":null,"fwci":0.4084,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.65517241,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3027","last_page":"3028"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9962000250816345,"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/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9733999967575073,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7846848964691162},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7758352756500244},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.6453626155853271},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5855425596237183},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.564592719078064},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4460570812225342},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36807912588119507},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.22826656699180603}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7846848964691162},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7758352756500244},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.6453626155853271},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5855425596237183},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.564592719078064},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4460570812225342},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36807912588119507},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22826656699180603},{"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":2,"locations":[{"id":"doi:10.1109/icip.2019.8803382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-02326229v1","is_oa":true,"landing_page_url":"https://hal.science/hal-02326229","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP), Sep 2019, Taipei, Taiwan. pp.3027-3028, ⟨10.1109/ICIP.2019.8803382⟩","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-02326229v1","is_oa":true,"landing_page_url":"https://hal.science/hal-02326229","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP), Sep 2019, Taipei, Taiwan. pp.3027-3028, ⟨10.1109/ICIP.2019.8803382⟩","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2113221323","https://openalex.org/W2898846274","https://openalex.org/W2963524571","https://openalex.org/W2971276633"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4394360958","https://openalex.org/W2948670949","https://openalex.org/W4288047943","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4239306820","https://openalex.org/W4394193569","https://openalex.org/W4391266461","https://openalex.org/W2590798552"],"abstract_inverted_index":{"Human":[0],"action":[1],"recognition":[2,19],"in":[3,11,90],"videos":[4,91],"is":[5,70],"one":[6],"of":[7,20,76,101],"the":[8,18,104],"key":[9],"problems":[10],"visual":[12],"data":[13,63],"interpretation.":[14],"Despite":[15],"intensive":[16],"research,":[17],"actions":[21],"with":[22],"low":[23],"inter-class":[24],"variability":[25],"remains":[26],"a":[27,41,51,93,99],"challenge.":[28],"To":[29],"answer":[30],"this":[31],"problem,":[32],"my":[33],"thesis":[34],"focus":[35],"on":[36,83],"fine-grained":[37],"classification":[38,89],"challenge":[39],"using":[40,92],"Siamese":[42],"Spatio-Temporal":[43],"Convolutional":[44],"Neural":[45],"Network":[46],"and":[47,66,69,88],"apply":[48],"it":[49],"to":[50,72,98],"new":[52],"dataset":[53],"we":[54],"have":[55],"introduced":[56],"TTStroke-21.":[57],"Our":[58],"model":[59],"take":[60],"as":[61],"input":[62],"RGB":[64],"images":[65],"Optical":[67],"Flow":[68],"able":[71],"reach":[73],"an":[74],"accuracy":[75],"91.4%":[77],"against":[78],"43.1%":[79],"for":[80],"our":[81],"baseline":[82],"temporal":[84,95],"segmented":[85],"videos.":[86],"Detection":[87],"sliding":[94],"window":[96],"leads":[97],"score":[100],"81.3%":[102],"over":[103],"whole":[105],"dataset.":[106]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-03T08:47:05.690250","created_date":"2025-10-10T00:00:00"}