{"id":"https://openalex.org/W2978451645","doi":"https://doi.org/10.1109/tip.2019.2944306","title":"Semi-Supervised Human Detection via Region Proposal Networks Aided by Verification","display_name":"Semi-Supervised Human Detection via Region Proposal Networks Aided by Verification","publication_year":2019,"publication_date":"2019-10-03","ids":{"openalex":"https://openalex.org/W2978451645","doi":"https://doi.org/10.1109/tip.2019.2944306","mag":"2978451645","pmid":"https://pubmed.ncbi.nlm.nih.gov/31603782"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2019.2944306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2944306","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5070982537","display_name":"Si Wu","orcid":"https://orcid.org/0000-0003-4022-0852"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]},{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["CN","HK"],"is_corresponding":true,"raw_author_name":"Si Wu","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong","School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085196436","display_name":"Wenhao Wu","orcid":"https://orcid.org/0000-0002-8573-7989"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhao Wu","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067187256","display_name":"Shiyao Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyao Lei","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101750670","display_name":"Sihao Lin","orcid":"https://orcid.org/0009-0004-3235-373X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sihao Lin","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100341968","display_name":"Rui Li","orcid":"https://orcid.org/0000-0002-8224-7888"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Rui Li","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100701158","display_name":"Zhiwen Yu","orcid":"https://orcid.org/0000-0002-0935-5890"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhiwen Yu","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014196059","display_name":"Hau\u2212San Wong","orcid":"https://orcid.org/0000-0002-1530-7529"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hau-San Wong","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5070982537"],"corresponding_institution_ids":["https://openalex.org/I168719708","https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.8098,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.77467893,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"29","issue":null,"first_page":"1562","last_page":"1574"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9962999820709229,"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":0.8361400365829468},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7694791555404663},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6759018898010254},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5573188066482544},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5319196581840515},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.5263380408287048},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5224320292472839},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47958579659461975},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4576837122440338},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4511491656303406},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4341426491737366},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3528709411621094},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.23069289326667786}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8361400365829468},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7694791555404663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6759018898010254},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5573188066482544},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5319196581840515},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.5263380408287048},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5224320292472839},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47958579659461975},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4576837122440338},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4511491656303406},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4341426491737366},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3528709411621094},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.23069289326667786},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2019.2944306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2944306","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:31603782","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31603782","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G2677279816","display_name":null,"funder_award_id":"CityU 11300715","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"},{"id":"https://openalex.org/G3677684130","display_name":null,"funder_award_id":"61722205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5186785243","display_name":null,"funder_award_id":"2018ZD33","funder_id":"https://openalex.org/F4320321392","funder_display_name":"Northwestern Polytechnical University"},{"id":"https://openalex.org/G5526867466","display_name":null,"funder_award_id":"U1611461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5534731291","display_name":null,"funder_award_id":"61572199","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5930723989","display_name":null,"funder_award_id":"7005055","funder_id":"https://openalex.org/F4320309893","funder_display_name":"City University of Hong Kong"},{"id":"https://openalex.org/G6173841607","display_name":null,"funder_award_id":"2016A030310422","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G7611596349","display_name":null,"funder_award_id":"61751205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320309893","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321392","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86"},{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W94414152","https://openalex.org/W345900524","https://openalex.org/W639708223","https://openalex.org/W1475617732","https://openalex.org/W1507506748","https://openalex.org/W1522301498","https://openalex.org/W1536680647","https://openalex.org/W1604882328","https://openalex.org/W1650122911","https://openalex.org/W1686810756","https://openalex.org/W1903127635","https://openalex.org/W1960182310","https://openalex.org/W1964005749","https://openalex.org/W1976818984","https://openalex.org/W2013039598","https://openalex.org/W2031454541","https://openalex.org/W2058757422","https://openalex.org/W2074777933","https://openalex.org/W2081021369","https://openalex.org/W2098699644","https://openalex.org/W2100913937","https://openalex.org/W2102605133","https://openalex.org/W2105557521","https://openalex.org/W2107775979","https://openalex.org/W2121496627","https://openalex.org/W2125556102","https://openalex.org/W2127420331","https://openalex.org/W2132984949","https://openalex.org/W2139479830","https://openalex.org/W2150066425","https://openalex.org/W2159386181","https://openalex.org/W2161969291","https://openalex.org/W2162741153","https://openalex.org/W2163605009","https://openalex.org/W2168356304","https://openalex.org/W2187089797","https://openalex.org/W2200528286","https://openalex.org/W2395611524","https://openalex.org/W2467614162","https://openalex.org/W2469207420","https://openalex.org/W2474389331","https://openalex.org/W2490270993","https://openalex.org/W2497039038","https://openalex.org/W2530816535","https://openalex.org/W2531915888","https://openalex.org/W2562067889","https://openalex.org/W2589858586","https://openalex.org/W2594507094","https://openalex.org/W2608295741","https://openalex.org/W2613599172","https://openalex.org/W2691067844","https://openalex.org/W2743905801","https://openalex.org/W2771673973","https://openalex.org/W2809034148","https://openalex.org/W2894820835","https://openalex.org/W2896540732","https://openalex.org/W2951970475","https://openalex.org/W2962835968","https://openalex.org/W2962850098","https://openalex.org/W2963315052","https://openalex.org/W2963998989","https://openalex.org/W2964121744","https://openalex.org/W3097096317","https://openalex.org/W3105246522","https://openalex.org/W6630336748","https://openalex.org/W6631190155","https://openalex.org/W6636076345","https://openalex.org/W6636787326","https://openalex.org/W6637373629","https://openalex.org/W6675038308","https://openalex.org/W6679390333","https://openalex.org/W6684191040","https://openalex.org/W6755211195","https://openalex.org/W6755578354","https://openalex.org/W6764051988"],"related_works":["https://openalex.org/W2129767422","https://openalex.org/W3210196349","https://openalex.org/W4214728004","https://openalex.org/W2950181282","https://openalex.org/W2963261224","https://openalex.org/W2798287483","https://openalex.org/W2913410650","https://openalex.org/W2130553454","https://openalex.org/W3022007134","https://openalex.org/W2168489430"],"abstract_inverted_index":{"In":[0],"this":[1,19,140],"paper,":[2],"we":[3,21,96],"explore":[4],"how":[5],"to":[6,12,48,57,102,128],"leverage":[7],"readily":[8],"available":[9],"unlabeled":[10],"data":[11,124],"improve":[13],"semi-supervised":[14,163],"human":[15,51,158],"detection":[16,83,131,153,159],"performance.":[17,132],"For":[18],"purpose,":[20],"specifically":[22],"modify":[23],"the":[24,54,64,87,93,110,122,136,148,162],"region":[25],"proposal":[26],"network":[27],"(RPN)":[28],"for":[29,62,80],"learning":[30],"on":[31,37,121,155],"a":[32,43,98],"partially":[33],"labeled":[34],"dataset.":[35],"Based":[36],"commonly":[38],"observed":[39],"false":[40],"positive":[41],"types,":[42],"verification":[44],"module":[45],"is":[46,142],"developed":[47],"assess":[49],"foreground":[50],"objects":[52],"in":[53,92,161],"candidate":[55],"regions":[56],"provide":[58],"an":[59],"important":[60],"cue":[61],"filtering":[63],"RPN's":[65],"proposals.":[66],"The":[67,117,133],"remaining":[68],"proposals":[69],"with":[70],"high":[71],"confidence":[72],"scores":[73],"are":[74],"then":[75],"used":[76],"as":[77],"pseudo":[78,106],"annotations":[79,107],"re-training":[81],"our":[82],"model.":[84],"To":[85],"reduce":[86],"risk":[88],"of":[89,135,139],"error":[90],"propagation":[91],"training":[94,100,115],"process,":[95],"adopt":[97],"self-paced":[99],"strategy":[101],"progressively":[103],"include":[104],"more":[105],"generated":[108],"by":[109],"previous":[111],"model":[112],"over":[113],"multiple":[114,156],"rounds.":[116],"resulting":[118],"detector":[119],"re-trained":[120],"augmented":[123],"can":[125],"be":[126],"expected":[127],"have":[129],"better":[130],"effectiveness":[134],"main":[137],"components":[138],"framework":[141],"verified":[143],"through":[144],"extensive":[145],"experiments,":[146],"and":[147],"proposed":[149],"approach":[150],"achieves":[151],"state-of-the-art":[152],"results":[154],"scene-specific":[157],"benchmarks":[160],"setting.":[164]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
