{"id":"https://openalex.org/W2808701103","doi":"https://doi.org/10.1109/tcsvt.2018.2847305","title":"One-Shot SADI-EPE: A Visual Framework of Event Progress Estimation","display_name":"One-Shot SADI-EPE: A Visual Framework of Event Progress Estimation","publication_year":2018,"publication_date":"2018-06-14","ids":{"openalex":"https://openalex.org/W2808701103","doi":"https://doi.org/10.1109/tcsvt.2018.2847305","mag":"2808701103"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2018.2847305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2018.2847305","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Transactions on Circuits and Systems for Video Technology","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/A5100606496","display_name":"Jianqin Yin","orcid":"https://orcid.org/0000-0002-1595-2499"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianqin Yin","raw_affiliation_strings":["Automation School, Beijing University of Posts and Telecommunications, Beijing, China","Automation school, Beijing University of Posts and Telecommunications,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Automation School, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Automation school, Beijing University of Posts and Telecommunications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100386594","display_name":"Xiaoli Liu","orcid":"https://orcid.org/0000-0002-9224-8649"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoli Liu","raw_affiliation_strings":["Automation School, Beijing University of Posts and Telecommunications, Beijing, China","Automation school, Beijing University of Posts and Telecommunications,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Automation School, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Automation school, Beijing University of Posts and Telecommunications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055546056","display_name":"Fuchun Sun","orcid":"https://orcid.org/0000-0003-3546-6305"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuchun Sun","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China","Dept. of Comput. Sci. & Tech, Tsinghua Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Tech, Tsinghua Univ., Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041101317","display_name":"Huaping Liu","orcid":"https://orcid.org/0000-0002-4042-6044"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaping Liu","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China","Dept. of Comput. Sci. & Tech, Tsinghua Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Tech, Tsinghua Univ., Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100415093","display_name":"Zhi-Qiang Liu","orcid":"https://orcid.org/0000-0002-1883-2871"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Liu","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China","Dept. of Comput. Sci. & Tech, Tsinghua Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Tech, Tsinghua Univ., Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100372357","display_name":"Bin Wang","orcid":"https://orcid.org/0000-0002-4198-8823"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Wang","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China","Dept. of Comput. Sci. & Tech, Tsinghua Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Tech, Tsinghua Univ., Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361885","display_name":"Jun Liu","orcid":"https://orcid.org/0000-0002-5815-2483"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Liu","raw_affiliation_strings":["Weill Cornell Medical College, Cornell University, New York, NY, USA","Weill Cornell Medical College; Cornell University; New York; NY; USA"],"affiliations":[{"raw_affiliation_string":"Weill Cornell Medical College, Cornell University, New York, NY, USA","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"Weill Cornell Medical College; Cornell University; New York; NY; USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100672590","display_name":"Yilong Yin","orcid":"https://orcid.org/0000-0002-8465-1294"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilong Yin","raw_affiliation_strings":["School of Software Engineering, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100606496"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.3134,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6101472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"29","issue":"6","first_page":"1659","last_page":"1671"},"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":0.9955999851226807,"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/T11439","display_name":"Video Analysis and Summarization","score":0.992900013923645,"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":0.7893521189689636},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.6585274934768677},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6482358574867249},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6299048662185669},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6004309058189392},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5248976945877075},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4754236042499542},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4247030019760132},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4150421619415283},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3696034550666809},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36809974908828735},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33152562379837036}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7893521189689636},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.6585274934768677},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6482358574867249},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6299048662185669},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6004309058189392},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5248976945877075},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4754236042499542},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4247030019760132},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4150421619415283},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3696034550666809},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36809974908828735},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33152562379837036},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2018.2847305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2018.2847305","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G5652284311","display_name":null,"funder_award_id":"2018RC31","funder_id":"https://openalex.org/F4320321470","funder_display_name":"Beijing University of Posts and Telecommunications"},{"id":"https://openalex.org/G7440672857","display_name":null,"funder_award_id":"U1613212","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7772244130","display_name":null,"funder_award_id":"61573219","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8949188139","display_name":null,"funder_award_id":"61673192","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321470","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W26349190","https://openalex.org/W337801365","https://openalex.org/W1522734439","https://openalex.org/W1744759976","https://openalex.org/W1871385855","https://openalex.org/W1893516992","https://openalex.org/W1950788856","https://openalex.org/W1979378996","https://openalex.org/W1983592444","https://openalex.org/W1983705368","https://openalex.org/W1989353817","https://openalex.org/W2008824967","https://openalex.org/W2057354418","https://openalex.org/W2078157583","https://openalex.org/W2083775622","https://openalex.org/W2085735683","https://openalex.org/W2098376331","https://openalex.org/W2099634219","https://openalex.org/W2106996050","https://openalex.org/W2107443860","https://openalex.org/W2143267104","https://openalex.org/W2144380653","https://openalex.org/W2145546283","https://openalex.org/W2155268664","https://openalex.org/W2156303437","https://openalex.org/W2172156083","https://openalex.org/W2189256330","https://openalex.org/W2215208035","https://openalex.org/W2309561466","https://openalex.org/W2327049400","https://openalex.org/W2341313195","https://openalex.org/W2342437993","https://openalex.org/W2342662179","https://openalex.org/W2344034899","https://openalex.org/W2345221990","https://openalex.org/W2465313502","https://openalex.org/W2486996822","https://openalex.org/W2507009361","https://openalex.org/W2519503047","https://openalex.org/W2520861906","https://openalex.org/W2558630670","https://openalex.org/W2578262202","https://openalex.org/W2585340110","https://openalex.org/W2593146028","https://openalex.org/W2601271987","https://openalex.org/W2753596626","https://openalex.org/W2963032654","https://openalex.org/W2963935587","https://openalex.org/W2964203186","https://openalex.org/W4230005465","https://openalex.org/W4285719527","https://openalex.org/W6640754710","https://openalex.org/W6674784070","https://openalex.org/W6676325417","https://openalex.org/W6682864246","https://openalex.org/W6722654596","https://openalex.org/W6731945204","https://openalex.org/W6733172229","https://openalex.org/W6737019326","https://openalex.org/W6746405443"],"related_works":["https://openalex.org/W1622964048","https://openalex.org/W30315714","https://openalex.org/W1965274140","https://openalex.org/W779885325","https://openalex.org/W2150972844","https://openalex.org/W2393615320","https://openalex.org/W3110435694","https://openalex.org/W2185145003","https://openalex.org/W2001760863","https://openalex.org/W2724951827"],"abstract_inverted_index":{"In":[0,44,177,236],"many":[1],"practical":[2,154],"engineering":[3],"applications,":[4],"the":[5,36,58,67,118,145,157,165,169,181,225,245,258,270,276],"number":[6,37,125],"of":[7,29,38,109,117,126,129,144,168,179,232,247,260,278],"actions":[8,39,227],"that":[9,22,40],"have":[10,41],"been":[11,42],"finished":[12],"should":[13],"be":[14,172],"known,":[15],"particularly":[16],"for":[17,138,153,269],"an":[18,24,99,187,238,266],"untrimmed":[19],"video":[20],"sequence":[21],"includes":[23],"event":[25,53,140,146,170],"with":[26],"a":[27,74,124,212],"series":[28],"actions,":[30],"it":[31,151],"is":[32,64,88,96,147,184,254],"important":[33],"to":[34,61,200,256],"know":[35],"finished.":[43],"this":[45,49,62,72,91],"paper,":[46],"we":[47,210,264],"termed":[48],"process":[50],"as":[51,98],"visual":[52,75,94],"progress":[54,166],"estimation":[55,167,271],"(EPE).":[56],"However,":[57],"research":[59,68],"related":[60],"problem":[63],"few":[65,251],"in":[66,90,198],"community.":[69],"To":[70],"solve":[71],"problem,":[73],"human":[76],"action":[77,83,119],"analysis-based":[78],"framework,":[79],"namely":[80],"one-shot":[81,101],"simultaneously":[82],"detection":[84],"and":[85,106,194,203,228,250],"identification":[86],"(SADI)-EPE,":[87],"presented":[89],"paper.":[92],"The":[93],"EPE":[95],"modeled":[97],"online":[100],"learning-based":[102],"problem;":[103],"sliding":[104],"window":[105],"attention-based":[107,239],"bag":[108],"key":[110,182,218,234],"poses":[111,205],"formulate":[112],"our":[113,133,175,261,279],"framework.":[114,281],"Unlike":[115],"most":[116],"analysis":[120],"methods":[121],"relying":[122],"on":[123],"training":[127,208,252],"data":[128,193],"some":[130],"predefined":[131],"classes,":[132],"method":[134],"can":[135,171,223],"realize":[136],"SADI":[137,162],"any":[139],"if":[141],"one":[142,207],"sample":[143],"given,":[148],"which":[149,222,243],"makes":[150],"feasible":[152],"applications.":[155],"At":[156],"same":[158],"time,":[159],"not":[160],"only":[161],"but":[163],"also":[164],"realized":[173],"by":[174,186],"algorithm.":[176,262],"terms":[178],"methodology,":[180],"pose":[183,189,219],"defined":[185],"invariant":[188],"descriptor":[190],"from":[191,206],"skeletal":[192],"silhouette":[195],"data.":[196],"Moreover,":[197],"order":[199],"extract":[201],"representative":[202],"discriminative":[204],"sample,":[209],"present":[211],"new":[213],"bidirectional":[214],"kNN-based":[215],"attention":[216],"weighted":[217],"selection":[220],"method,":[221],"filter":[224],"unrelated":[226],"model":[229],"different":[230],"importance":[231],"various":[233],"poses.":[235],"addition,":[237],"multi-modal":[240],"fusion":[241],"scheme,":[242],"addresses":[244],"difficulty":[246],"high-dimensional":[248],"features":[249],"samples,":[253],"proposed":[255,280],"augment":[257],"performance":[259],"Finally,":[263],"propose":[265],"evaluation":[267],"criterion":[268],"problem.":[272],"Extensive":[273],"results":[274],"demonstrated":[275],"efficacy":[277]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}