{"id":"https://openalex.org/W2557993245","doi":"https://doi.org/10.1109/cvpr.2017.114","title":"Surveillance Video Parsing with Single Frame Supervision","display_name":"Surveillance Video Parsing with Single Frame Supervision","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2557993245","doi":"https://doi.org/10.1109/cvpr.2017.114","mag":"2557993245"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2017.114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1611.09587","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100330138","display_name":"Si Liu","orcid":"https://orcid.org/0000-0002-9180-2935"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Si Liu","raw_affiliation_strings":["State Key Laboratory of Information Security, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Security, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055085354","display_name":"Changhu Wang","orcid":"https://orcid.org/0000-0001-8373-2597"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Changhu Wang","raw_affiliation_strings":["Toutiao AI Lab"],"affiliations":[{"raw_affiliation_string":"Toutiao AI Lab","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002060208","display_name":"Ruihe Qian","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruihe Qian","raw_affiliation_strings":["State Key Laboratory of Information Security, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Security, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101918164","display_name":"Yu Han","orcid":"https://orcid.org/0000-0002-0955-0936"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Yu","raw_affiliation_strings":["State Key Laboratory of Information Security, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Security, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029434214","display_name":"Renda Bao","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renda Bao","raw_affiliation_strings":["State Key Laboratory of Information Security, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Security, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100649792","display_name":"Yao Sun","orcid":"https://orcid.org/0000-0002-3429-3476"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Sun","raw_affiliation_strings":["State Key Laboratory of Information Security, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Security, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":56,"citation_normalized_percentile":{"value":0.999708,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"2","issue":null,"first_page":"1013","last_page":"1021"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Action Recognition and Pose Estimation","score":0.9986,"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 Action Recognition and Pose Estimation","score":0.9986,"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":"Visual Question Answering in Images and Videos","score":0.9981,"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":"Visual Object Tracking and Person Re-identification","score":0.9958,"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/optical-flow","display_name":"Optical flow","score":0.73176414},{"id":"https://openalex.org/keywords/visual-tracking","display_name":"Visual Tracking","score":0.591406},{"id":"https://openalex.org/keywords/multiple-object-tracking","display_name":"Multiple Object Tracking","score":0.556307},{"id":"https://openalex.org/keywords/visual-question-answering","display_name":"Visual Question Answering","score":0.545527},{"id":"https://openalex.org/keywords/object-tracking","display_name":"Object Tracking","score":0.536945},{"id":"https://openalex.org/keywords/foreground-segmentation","display_name":"Foreground Segmentation","score":0.536183}],"concepts":[{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.9137002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8398769},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.739912},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.73176414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6874825},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.58803296},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.5489408},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.42833266},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.42511082},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.23676708},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.116832644},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06747553}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2017.114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1611.09587","pdf_url":"https://arxiv.org/pdf/1611.09587","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1611.09587","pdf_url":"https://arxiv.org/pdf/1611.09587","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":44,"referenced_works":["https://openalex.org/W1495267108","https://openalex.org/W1560733133","https://openalex.org/W1567302070","https://openalex.org/W1686810756","https://openalex.org/W1745334888","https://openalex.org/W1903029394","https://openalex.org/W1923115158","https://openalex.org/W1923697677","https://openalex.org/W1927251054","https://openalex.org/W1951289974","https://openalex.org/W1962739028","https://openalex.org/W1973255633","https://openalex.org/W2028285070","https://openalex.org/W2037227137","https://openalex.org/W2047809566","https://openalex.org/W2079972027","https://openalex.org/W2111025459","https://openalex.org/W2121339428","https://openalex.org/W2131747574","https://openalex.org/W2133515615","https://openalex.org/W2135367695","https://openalex.org/W2153410696","https://openalex.org/W2154889144","https://openalex.org/W2155893237","https://openalex.org/W2158917775","https://openalex.org/W2168894214","https://openalex.org/W2204578866","https://openalex.org/W2221898772","https://openalex.org/W2236679687","https://openalex.org/W2299400169","https://openalex.org/W2340897893","https://openalex.org/W2440384215","https://openalex.org/W2474516676","https://openalex.org/W2513241981","https://openalex.org/W2613718673","https://openalex.org/W2950094539","https://openalex.org/W2963108253","https://openalex.org/W2963606038","https://openalex.org/W2963935758","https://openalex.org/W360623563","https://openalex.org/W586034241","https://openalex.org/W602397586","https://openalex.org/W639708223","https://openalex.org/W764651262"],"related_works":["https://openalex.org/W579810227","https://openalex.org/W4285411112","https://openalex.org/W2979495269","https://openalex.org/W2971088694","https://openalex.org/W2952780262","https://openalex.org/W2922442631","https://openalex.org/W2392917763","https://openalex.org/W2171299904","https://openalex.org/W2085033728","https://openalex.org/W1647606319"],"abstract_inverted_index":{"Surveillance":[0],"video":[1,6,48,58,74,125,136],"parsing,":[2,107],"which":[3,41],"segments":[4],"the":[5,57,61,70,73,78,86,96,128,145],"frames":[7,24,71,82],"into":[8],"several":[9],"labels,":[10],"e.g.,":[11],"face,":[12],"pants,":[13],"left-leg,":[14],"has":[15],"wide":[16],"applications":[17],"[41,":[18],"8].":[19],"However,":[20],"pixel-wisely":[21],"annotating":[22],"all":[23],"is":[25,63],"tedious":[26],"and":[27,83,111],"inefficient.":[28],"In":[29],"this":[30],"paper,":[31],"we":[32],"develop":[33],"a":[34],"Single":[35],"frame":[36,46,62,106],"Video":[37],"Parsing":[38],"(SVP)":[39],"method":[40],"requires":[42],"only":[43],"one":[44,54],"labeled":[45],"per":[47],"in":[49,116],"training":[50],"stage.":[51],"To":[52],"parse":[53],"particular":[55],"frame,":[56],"segment":[59],"preceding":[60],"jointly":[64],"considered.":[65],"SVP":[66,131],"(i)":[67],"roughly":[68],"parses":[69],"within":[72],"segment,":[75],"(ii)":[76],"estimates":[77],"optical":[79,92,108],"flow":[80,93,109],"between":[81],"(iii)":[84],"fuses":[85],"rough":[87],"parsing":[88,98,137],"results":[89,121],"warped":[90],"by":[91],"to":[94],"produce":[95],"refined":[97],"result.":[99],"The":[100,134],"three":[101],"components":[102],"of":[103,130],"SVP,":[104],"namely":[105],"estimation":[110],"temporal":[112],"fusion":[113],"are":[114],"integrated":[115],"an":[117],"end-to-end":[118],"manner.":[119],"Experimental":[120],"on":[122],"two":[123],"surveillance":[124],"datasets":[126,138],"show":[127],"superiority":[129],"over":[132],"state-of-the-arts.":[133],"collected":[135],"can":[139],"be":[140],"downloaded":[141],"via":[142],"http://liusi-group.com/projects/SVP":[143],"for":[144],"further":[146],"studies.":[147]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2557993245","counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":6}],"updated_date":"2024-11-02T08:11:54.158816","created_date":"2016-12-08"}
