{"id":"https://openalex.org/W2897797691","doi":"https://doi.org/10.1109/icpr.2018.8545487","title":"Temporal Action Detection by Joint Identification-Verification","display_name":"Temporal Action Detection by Joint Identification-Verification","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2897797691","doi":"https://doi.org/10.1109/icpr.2018.8545487","mag":"2897797691"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8545487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","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/A5100396400","display_name":"Wen Wang","orcid":"https://orcid.org/0009-0009-1644-2341"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wen Wang","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, Sichuan"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, Sichuan","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100716576","display_name":"Yongjian Wu","orcid":"https://orcid.org/0000-0003-2007-6929"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjian Wu","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018914021","display_name":"Haijun Liu","orcid":"https://orcid.org/0000-0001-5782-4543"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haijun Liu","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, Sichuan"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, Sichuan","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101709996","display_name":"Shiguang Wang","orcid":"https://orcid.org/0000-0003-2758-2445"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiguang Wang","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, Sichuan"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, Sichuan","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039059630","display_name":"Jian Cheng","orcid":"https://orcid.org/0000-0001-6966-0531"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Cheng","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, Sichuan"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, Sichuan","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100396400"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.2089,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.56048873,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"14","issue":null,"first_page":"2026","last_page":"2031"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9948999881744385,"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":0.9861000180244446,"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/benchmark","display_name":"Benchmark (surveying)","score":0.7889730930328369},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7623089551925659},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6646015644073486},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6533563137054443},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6301869750022888},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5792270302772522},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5325146317481995},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5022690296173096},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.48577240109443665},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.41501784324645996},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4142220616340637},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40852999687194824},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3290137052536011},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26155394315719604},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1329176425933838}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7889730930328369},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7623089551925659},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6646015644073486},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6533563137054443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6301869750022888},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5792270302772522},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5325146317481995},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5022690296173096},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.48577240109443665},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.41501784324645996},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4142220616340637},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40852999687194824},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3290137052536011},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26155394315719604},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1329176425933838},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2018.8545487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","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":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W787785461","https://openalex.org/W1522734439","https://openalex.org/W1797109199","https://openalex.org/W1927052826","https://openalex.org/W1983364832","https://openalex.org/W2126579184","https://openalex.org/W2135442311","https://openalex.org/W2138621090","https://openalex.org/W2144172034","https://openalex.org/W2155893237","https://openalex.org/W2156303437","https://openalex.org/W2259687230","https://openalex.org/W2502225121","https://openalex.org/W2529163075","https://openalex.org/W2531440880","https://openalex.org/W2593722617","https://openalex.org/W2766402183","https://openalex.org/W2963247196","https://openalex.org/W2964214371","https://openalex.org/W2964216549","https://openalex.org/W3098711604","https://openalex.org/W3100481960","https://openalex.org/W4237044863","https://openalex.org/W6678616107","https://openalex.org/W6681239517","https://openalex.org/W6682864246","https://openalex.org/W6724544503","https://openalex.org/W6784740494"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W2087343574","https://openalex.org/W4230315250"],"abstract_inverted_index":{"Temporal":[0],"action":[1,8,20,45,49,60,68,77,116,154],"detection":[2,50,155],"aims":[3],"at":[4],"not":[5],"only":[6],"recognizing":[7],"category":[9,61],"but":[10],"also":[11],"detecting":[12],"start":[13],"time":[14,17],"and":[15,38,95,118],"end":[16],"for":[18,122,152],"each":[19,44],"instance":[21],"in":[22,57,66,156],"an":[23],"untrimmed":[24,157],"video.":[25],"The":[26,99],"key":[27],"challenge":[28],"of":[29,43,75,126,142],"this":[30,81],"task":[31],"is":[32,103,165],"to":[33,85,90,147],"accurately":[34],"classify":[35],"the":[36,40,58,73,92,115,119,123,134,140,148],"actions":[37],"determine":[39],"temporal":[41,48,76,153],"boundaries":[42],"instance.":[46],"In":[47],"benchmark:":[51],"THUMOS":[52,136],"2014,":[53],"large":[54],"variations":[55,94],"exist":[56,65],"same":[59],"while":[62],"many":[63],"similarities":[64],"different":[67],"categories,":[69],"which":[70,111],"always":[71],"limit":[72],"performance":[74],"detection.":[78],"To":[79],"address":[80],"problem,":[82],"we":[83],"propose":[84],"use":[86],"joint":[87,100],"Identification-Verification":[88,101],"network":[89,102,106],"reduce":[91],"intra-action":[93],"enlarge":[96],"inter-action":[97],"differences.":[98],"a":[104,166],"siamese":[105],"based":[107],"on":[108,133,173],"3D":[109],"ConvNets,":[110],"can":[112],"simultaneously":[113],"predict":[114],"categories":[117],"similarity":[120],"scores":[121],"input":[124],"pairs":[125],"video":[127],"proposal":[128],"segments.":[129],"Extensive":[130],"experimental":[131],"results":[132],"challenging":[135],"2014":[137],"dataset":[138],"demonstrate":[139,161],"effectiveness":[141],"our":[143,163,171],"proposed":[144],"method":[145],"compared":[146],"existing":[149],"state-of-art":[150],"methods":[151],"videos.":[158],"We":[159],"further":[160],"that":[162],"model":[164],"general":[167],"framework":[168],"by":[169],"evaluating":[170],"approach":[172],"Charades":[174],"dataset.":[175]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
