{"id":"https://openalex.org/W3135163341","doi":"https://doi.org/10.1145/3448823.3448848","title":"Efficient Deep Learning Approach to Address Low-Resolution Person Re-Identification","display_name":"Efficient Deep Learning Approach to Address Low-Resolution Person Re-Identification","publication_year":2020,"publication_date":"2020-12-09","ids":{"openalex":"https://openalex.org/W3135163341","doi":"https://doi.org/10.1145/3448823.3448848","mag":"3135163341"},"language":"en","primary_location":{"id":"doi:10.1145/3448823.3448848","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448823.3448848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 4th International Conference on Vision, Image and Signal Processing","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/A5074798612","display_name":"Irfan Yaqoob","orcid":null},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Irfan Yaqoob","raw_affiliation_strings":["School of Information Science and Engineering, University of Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, University of Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051581292","display_name":"Muhammad Umair Hassan","orcid":"https://orcid.org/0000-0001-7607-5154"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Muhammad Umair Hassan","raw_affiliation_strings":["Department of ICT and Natural Sciences Norwegian University of Science and Technology (NTNU), Norway"],"affiliations":[{"raw_affiliation_string":"Department of ICT and Natural Sciences Norwegian University of Science and Technology (NTNU), Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007335348","display_name":"Dongmei Niu","orcid":"https://orcid.org/0000-0002-4519-545X"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongmei Niu","raw_affiliation_strings":["School of Information Science and Engineering, University of Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, University of Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104037742","display_name":"Muhammad Maaz Irfan","orcid":null},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Muhammad Maaz Irfan","raw_affiliation_strings":["School of Information Science and Engineering, University of Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, University of Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079851006","display_name":"Numan Zafar","orcid":null},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Numan Zafar","raw_affiliation_strings":["School of Information Science and Engineering, University of Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, University of Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101757860","display_name":"Xiuyang Zhao","orcid":"https://orcid.org/0000-0002-2573-8867"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuyang Zhao","raw_affiliation_strings":["School of Information Science and Engineering, University of Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, University of Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5074798612"],"corresponding_institution_ids":["https://openalex.org/I34949971"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.18437857,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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"}},"topics":[{"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9984999895095825,"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/T10531","display_name":"Advanced Vision and Imaging","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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8052240610122681},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7992351055145264},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7125903367996216},{"id":"https://openalex.org/keywords/low-resolution","display_name":"Low resolution","score":0.7100759148597717},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.616659939289093},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5676618218421936},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5582834482192993},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4596530795097351},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.4470347464084625},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.4267190992832184},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3513404130935669},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.2014237940311432}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8052240610122681},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7992351055145264},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7125903367996216},{"id":"https://openalex.org/C3019883945","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Low resolution","level":3,"score":0.7100759148597717},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.616659939289093},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5676618218421936},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5582834482192993},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4596530795097351},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.4470347464084625},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.4267190992832184},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3513404130935669},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.2014237940311432},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3448823.3448848","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448823.3448848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 4th International Conference on Vision, Image and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1897123318","https://openalex.org/W2046835352","https://openalex.org/W2157598322","https://openalex.org/W2213726222","https://openalex.org/W2342611082","https://openalex.org/W2509704168","https://openalex.org/W2573751786","https://openalex.org/W2724213014","https://openalex.org/W2752782242","https://openalex.org/W2769262677","https://openalex.org/W2798429327","https://openalex.org/W2807957650","https://openalex.org/W2942328068","https://openalex.org/W2943826729","https://openalex.org/W2963000559","https://openalex.org/W2963067443","https://openalex.org/W2963163216","https://openalex.org/W2963289251","https://openalex.org/W2963470893","https://openalex.org/W2963637710","https://openalex.org/W2964044605","https://openalex.org/W2965069339","https://openalex.org/W2981393440","https://openalex.org/W2981576453","https://openalex.org/W2997877744","https://openalex.org/W3007669518","https://openalex.org/W3100927979"],"related_works":["https://openalex.org/W2280716820","https://openalex.org/W2197290467","https://openalex.org/W2188213139","https://openalex.org/W1970848816","https://openalex.org/W2076534978","https://openalex.org/W3195866886","https://openalex.org/W4300104663","https://openalex.org/W376124985","https://openalex.org/W4287323314","https://openalex.org/W2116847410"],"abstract_inverted_index":{"Person":[0],"re-identification":[1,47,69,101],"is":[2,30,122],"a":[3,70,110],"vital":[4],"part":[5],"of":[6],"the":[7,38,68,82,100,105,137],"computer":[8],"vision":[9],"and":[10,26,34,57,63,129],"plays":[11],"an":[12,75],"important":[13],"role,":[14],"especially":[15],"for":[16],"surveillance":[17],"applications,":[18],"e.g.,":[19],"intelligent":[20],"video":[21],"analysis,":[22,25],"forensic,":[23],"behavior":[24],"robotics.":[27],"Mostly":[28],"it":[29,66],"assumed":[31],"that":[32,85],"gallery":[33],"target":[35],"images":[36,49,88,96,116],"have":[37,58],"same":[39],"resolution.":[40],"However,":[41],"this":[42],"assumption":[43],"fails":[44],"in":[45],"real-world":[46],"because":[48],"taken":[50],"by":[51],"security":[52],"cameras":[53],"are":[54,97],"mostly":[55],"low-resolution":[56,83,87,115],"pose":[59],"variations,":[60],"background":[61],"clutters,":[62],"occlusions.":[64],"So":[65],"makes":[67],"challenging":[71],"task.":[72],"We":[73,108],"proposed":[74],"efficient":[76],"deep":[77],"learning":[78],"approach":[79],"to":[80,89,99,103,113,117,136],"address":[81],"problem":[84],"regenerates":[86],"uniform":[90],"high-resolution":[91,95],"images.":[92],"Afterward,":[93],"these":[94],"passed":[98],"network":[102,112],"get":[104],"final":[106],"output.":[107],"employ":[109],"feedback":[111],"convert":[114],"high-resolution.":[118],"Our":[119],"network's":[120],"performance":[121],"tested":[123],"on":[124],"two":[125],"datasets,":[126],"MLR-VIPeR,":[127],"MLR-DukeMTMC-ReID,":[128],"our":[130],"model":[131],"achieved":[132],"superior":[133],"results":[134],"compared":[135],"other":[138],"algorithms.":[139]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
