{"id":"https://openalex.org/W2963910606","doi":"https://doi.org/10.1109/access.2019.2929432","title":"Part-Aware Region Proposal for Vehicle Detection in High Occlusion Environment","display_name":"Part-Aware Region Proposal for Vehicle Detection in High Occlusion Environment","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2963910606","doi":"https://doi.org/10.1109/access.2019.2929432","mag":"2963910606"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2929432","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2929432","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08765315.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08765315.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100446732","display_name":"Weiwei Zhang","orcid":"https://orcid.org/0000-0001-9365-5791"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"WeiWei Zhang","raw_affiliation_strings":["College of Mechanical Automotive Engineering, Shanghai University of Engineering Science, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9365-5791","affiliations":[{"raw_affiliation_string":"College of Mechanical Automotive Engineering, Shanghai University of Engineering Science, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048766292","display_name":"Yaocheng Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaocheng Zheng","raw_affiliation_strings":["School of Mechanical and Transportation Engineering, Guangxi University of Science and Technology, Guangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Transportation Engineering, Guangxi University of Science and Technology, Guangxi, China","institution_ids":["https://openalex.org/I18570673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006809740","display_name":"Qiaoming Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiaoming Gao","raw_affiliation_strings":["School of Mechanical and Transportation Engineering, Guangxi University of Science and Technology, Guangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Transportation Engineering, Guangxi University of Science and Technology, Guangxi, China","institution_ids":["https://openalex.org/I18570673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046311507","display_name":"Zeyang Mi","orcid":"https://orcid.org/0000-0003-1530-9708"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyang Mi","raw_affiliation_strings":["College of Mechanical Automotive Engineering, Shanghai University of Engineering Science, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-1530-9708","affiliations":[{"raw_affiliation_string":"College of Mechanical Automotive Engineering, Shanghai University of Engineering Science, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.0843,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.90060799,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"100383","last_page":"100393"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983999729156494,"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":0.7853111028671265},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6920285224914551},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6216312646865845},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.49790334701538086},{"id":"https://openalex.org/keywords/occlusion","display_name":"Occlusion","score":0.4870908260345459},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.48267295956611633},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46534857153892517},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.43008702993392944},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4193595051765442}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7853111028671265},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6920285224914551},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6216312646865845},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.49790334701538086},{"id":"https://openalex.org/C2776268601","wikidata":"https://www.wikidata.org/wiki/Q968808","display_name":"Occlusion","level":2,"score":0.4870908260345459},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.48267295956611633},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46534857153892517},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.43008702993392944},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4193595051765442},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2929432","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2929432","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08765315.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8f90842f16da448582bd814716165db8","is_oa":true,"landing_page_url":"https://doaj.org/article/8f90842f16da448582bd814716165db8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 100383-100393 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2929432","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2929432","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08765315.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6499999761581421}],"awards":[{"id":"https://openalex.org/G1439068797","display_name":null,"funder_award_id":"51805312","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8975631750","display_name":null,"funder_award_id":"19030501100","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2963910606.pdf"},"referenced_works_count":79,"referenced_works":["https://openalex.org/W7746136","https://openalex.org/W135113724","https://openalex.org/W225438136","https://openalex.org/W639708223","https://openalex.org/W1475617732","https://openalex.org/W1686810756","https://openalex.org/W1946609740","https://openalex.org/W1966990753","https://openalex.org/W2009234019","https://openalex.org/W2068730032","https://openalex.org/W2088049833","https://openalex.org/W2091887928","https://openalex.org/W2100912617","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2150066425","https://openalex.org/W2168356304","https://openalex.org/W2184393491","https://openalex.org/W2210803143","https://openalex.org/W2278156142","https://openalex.org/W2342242867","https://openalex.org/W2402144811","https://openalex.org/W2468368736","https://openalex.org/W2474389331","https://openalex.org/W2490270993","https://openalex.org/W2550687635","https://openalex.org/W2555618208","https://openalex.org/W2559085405","https://openalex.org/W2560544142","https://openalex.org/W2564290333","https://openalex.org/W2565639579","https://openalex.org/W2604994392","https://openalex.org/W2605189827","https://openalex.org/W2609144136","https://openalex.org/W2613718673","https://openalex.org/W2747705082","https://openalex.org/W2763268728","https://openalex.org/W2795812085","https://openalex.org/W2796347433","https://openalex.org/W2889903057","https://openalex.org/W2894878591","https://openalex.org/W2919534447","https://openalex.org/W2937358712","https://openalex.org/W2951517617","https://openalex.org/W2951638509","https://openalex.org/W2953384591","https://openalex.org/W2962773189","https://openalex.org/W2963068995","https://openalex.org/W2963150697","https://openalex.org/W2963179609","https://openalex.org/W2963351448","https://openalex.org/W2963410012","https://openalex.org/W2963418361","https://openalex.org/W2963542991","https://openalex.org/W2963786238","https://openalex.org/W2964062501","https://openalex.org/W2964241181","https://openalex.org/W3004237909","https://openalex.org/W3012573144","https://openalex.org/W3097096317","https://openalex.org/W3106250896","https://openalex.org/W4293584584","https://openalex.org/W6600313631","https://openalex.org/W6605397647","https://openalex.org/W6608881068","https://openalex.org/W6629368666","https://openalex.org/W6667689585","https://openalex.org/W6675026286","https://openalex.org/W6686211706","https://openalex.org/W6713134421","https://openalex.org/W6722946945","https://openalex.org/W6729791593","https://openalex.org/W6746057341","https://openalex.org/W6750227808","https://openalex.org/W6755284672","https://openalex.org/W6757983871","https://openalex.org/W6760010423","https://openalex.org/W6764117818","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W2358294942","https://openalex.org/W4367460280"],"abstract_inverted_index":{"Visual-based":[0],"vehicle":[1,53,73,97,143],"detection":[2,144],"has":[3],"been":[4],"extensively":[5],"applied":[6],"for":[7,50],"autonomous":[8],"driving":[9,13],"systems":[10],"and":[11,67,83,100,119,146],"advanced":[12],"assistant":[14],"systems,":[15],"however,":[16],"it":[17],"faces":[18],"great":[19],"challenges":[20],"as":[21],"a":[22,36,43,59,103,108],"partial":[23],"observation":[24],"regularly":[25],"happens":[26],"owing":[27],"to":[28,64,94,115,126],"occlusion":[29,124],"from":[30],"infrastructure":[31],"or":[32,35],"dynamic":[33],"objects":[34],"limited":[37],"vision":[38],"field.":[39],"This":[40],"paper":[41],"presents":[42],"two-stage":[44],"detector":[45],"based":[46],"on":[47,133],"Faster":[48],"R-CNN":[49],"high":[51,148],"occluded":[52,153],"detection,":[54],"in":[55,150],"which":[56],"we":[57],"integrate":[58],"part-aware":[60],"region":[61],"proposal":[62,106],"network":[63],"sense":[65],"global":[66],"local":[68],"visual":[69],"knowledge":[70],"among":[71],"different":[72,91],"attributes.":[74],"That":[75],"entails":[76],"the":[77,87,95,113,121,127,151],"model":[78,114],"simultaneously":[79],"generating":[80],"partial-level":[81],"proposals":[82,85],"instance-level":[84],"at":[86],"first":[88],"stage.":[89],"Then,":[90],"parts":[92],"belong":[93],"same":[96],"are":[98],"encoded":[99],"reconfigured":[101],"into":[102],"compositional":[104],"entire":[105],"through":[107],"part":[109],"affinity":[110],"fields,":[111],"allowing":[112],"generate":[116],"integral":[117],"candidates":[118],"mitigate":[120],"impact":[122],"of":[123],"challenge":[125],"utmost":[128],"extent.":[129],"Extensive":[130],"experiments":[131],"conducted":[132],"KITTI":[134],"benchmark":[135],"exhibit":[136],"that":[137],"our":[138],"method":[139],"outperforms":[140],"most":[141],"machine-learning-based":[142],"methods":[145],"achieves":[147],"recall":[149],"severely":[152],"application":[154],"scenario.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}
