{"id":"https://openalex.org/W3003157920","doi":"https://doi.org/10.1109/globalsip45357.2019.8969424","title":"An Unsupervised Sequence-to-Sequence Autoencoder Based Human Action Scoring Model","display_name":"An Unsupervised Sequence-to-Sequence Autoencoder Based Human Action Scoring Model","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3003157920","doi":"https://doi.org/10.1109/globalsip45357.2019.8969424","mag":"3003157920"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip45357.2019.8969424","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip45357.2019.8969424","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5003162497","display_name":"Hiteshi Jain","orcid":"https://orcid.org/0000-0003-1474-0416"},"institutions":[{"id":"https://openalex.org/I154549908","display_name":"Indian Institute of Technology Jodhpur","ror":"https://ror.org/03yacj906","country_code":"IN","type":"education","lineage":["https://openalex.org/I154549908"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Hiteshi Jain","raw_affiliation_strings":["Indian Institute of Technology Jodhpur"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Jodhpur","institution_ids":["https://openalex.org/I154549908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025684791","display_name":"Gaurav Harit","orcid":"https://orcid.org/0000-0001-7943-0123"},"institutions":[{"id":"https://openalex.org/I154549908","display_name":"Indian Institute of Technology Jodhpur","ror":"https://ror.org/03yacj906","country_code":"IN","type":"education","lineage":["https://openalex.org/I154549908"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gaurav Harit","raw_affiliation_strings":["Indian Institute of Technology Jodhpur"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Jodhpur","institution_ids":["https://openalex.org/I154549908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154549908"],"apc_list":null,"apc_paid":null,"fwci":0.2745,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.61800447,"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":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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":1.0,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.9054408073425293},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7972526550292969},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.7234926223754883},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7147573828697205},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6428787708282471},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6284599304199219},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6058158874511719},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5663202404975891},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5495690703392029},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5111411213874817},{"id":"https://openalex.org/keywords/sequence-labeling","display_name":"Sequence labeling","score":0.4283030033111572},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4183104932308197},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34540754556655884},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3436307907104492},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3273555338382721},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.24405160546302795},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08512917160987854}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9054408073425293},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7972526550292969},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.7234926223754883},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7147573828697205},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6428787708282471},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6284599304199219},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6058158874511719},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5663202404975891},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5495690703392029},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5111411213874817},{"id":"https://openalex.org/C35639132","wikidata":"https://www.wikidata.org/wiki/Q7452468","display_name":"Sequence labeling","level":3,"score":0.4283030033111572},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4183104932308197},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34540754556655884},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3436307907104492},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3273555338382721},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.24405160546302795},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08512917160987854},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip45357.2019.8969424","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip45357.2019.8969424","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W2064675550","https://openalex.org/W2130942839","https://openalex.org/W2260521078","https://openalex.org/W2307770531","https://openalex.org/W2327142087","https://openalex.org/W2398889210","https://openalex.org/W2552035314","https://openalex.org/W2567483634","https://openalex.org/W2796214461","https://openalex.org/W2800064446","https://openalex.org/W2891001585","https://openalex.org/W2891574165","https://openalex.org/W2963329331","https://openalex.org/W4212774754","https://openalex.org/W6679436768"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W4386815338","https://openalex.org/W2145836866","https://openalex.org/W2803255133"],"abstract_inverted_index":{"Developing":[0],"a":[1,13,28,72,108,147],"model":[2,113,142,157],"for":[3],"the":[4,86,89,97,116,136,164],"task":[5,23],"of":[6,9,88,93,146],"assessing":[7],"quality":[8,21],"human":[10,45],"action":[11,41,151],"is":[12,65],"key":[14],"research":[15],"area":[16],"in":[17,143],"computer":[18],"vision.":[19],"The":[20,79],"assessment":[22],"has":[24],"been":[25,35],"posed":[26],"as":[27,69],"supervised":[29],"regression":[30],"problem,":[31],"where":[32],"models":[33],"have":[34],"trained":[36],"to":[37,75,99,163],"predict":[38],"score,":[39],"given":[40],"representation":[42,117],"features.":[43],"However,":[44],"proficiency":[46],"levels":[47],"can":[48,132],"widely":[49],"vary":[50],"and":[51,61,95,122,153],"so":[52],"do":[53],"their":[54,62,100],"scores.":[55],"Providing":[56],"all":[57],"such":[58],"performance":[59,126],"variations":[60,87,98],"respective":[63,101],"scores":[64,145],"an":[66,124],"expensive":[67],"solution":[68],"it":[70,131],"requires":[71],"domain":[73],"expert":[74,94,120],"annotate":[76],"many":[77],"videos.":[78],"question":[80],"arises":[81],"-":[82],"Can":[83],"we":[84,106],"exploit":[85],"performances":[90,121],"from":[91,118,135],"that":[92,155],"map":[96],"scores?":[102],"To":[103],"this":[104],"end,":[105],"introduce":[107],"novel":[109],"sequence-to-sequence":[110],"autoencoder-based":[111],"scoring":[112],"which":[114],"learns":[115],"only":[119],"judges":[123],"unknown":[125],"based":[127],"on":[128],"how":[129],"well":[130],"be":[133],"regenerated":[134],"learned":[137],"model.":[138],"We":[139],"evaluated":[140],"our":[141,156],"predicting":[144],"complex":[148],"Sun-":[149],"Salutation":[150],"sequence,":[152],"demonstrate":[154],"gives":[158],"remarkable":[159],"prediction":[160],"accuracy":[161],"compared":[162],"baselines.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
