{"id":"https://openalex.org/W4292793968","doi":"https://doi.org/10.1109/cvprw56347.2022.00322","title":"Doppelg\u00e4nger Saliency: Towards More Ethical Person Re-Identification","display_name":"Doppelg\u00e4nger Saliency: Towards More Ethical Person Re-Identification","publication_year":2022,"publication_date":"2022-06-01","ids":{"openalex":"https://openalex.org/W4292793968","doi":"https://doi.org/10.1109/cvprw56347.2022.00322"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw56347.2022.00322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw56347.2022.00322","pdf_url":null,"source":{"id":"https://openalex.org/S4363607748","display_name":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","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/A5002310440","display_name":"Brandon RichardWebster","orcid":"https://orcid.org/0000-0003-4278-1282"},"institutions":[{"id":"https://openalex.org/I74786994","display_name":"Kitware (United States)","ror":"https://ror.org/02s2acn37","country_code":"US","type":"company","lineage":["https://openalex.org/I74786994"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Brandon RichardWebster","raw_affiliation_strings":["Kitware, Inc.,Clifton Park,NY,12065"],"affiliations":[{"raw_affiliation_string":"Kitware, Inc.,Clifton Park,NY,12065","institution_ids":["https://openalex.org/I74786994"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009058837","display_name":"Brian Hu","orcid":"https://orcid.org/0000-0002-5866-8762"},"institutions":[{"id":"https://openalex.org/I74786994","display_name":"Kitware (United States)","ror":"https://ror.org/02s2acn37","country_code":"US","type":"company","lineage":["https://openalex.org/I74786994"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian Hu","raw_affiliation_strings":["Kitware, Inc.,Clifton Park,NY,12065"],"affiliations":[{"raw_affiliation_string":"Kitware, Inc.,Clifton Park,NY,12065","institution_ids":["https://openalex.org/I74786994"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064597011","display_name":"Keith Fieldhouse","orcid":null},"institutions":[{"id":"https://openalex.org/I74786994","display_name":"Kitware (United States)","ror":"https://ror.org/02s2acn37","country_code":"US","type":"company","lineage":["https://openalex.org/I74786994"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keith Fieldhouse","raw_affiliation_strings":["Kitware, Inc.,Clifton Park,NY,12065"],"affiliations":[{"raw_affiliation_string":"Kitware, Inc.,Clifton Park,NY,12065","institution_ids":["https://openalex.org/I74786994"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033278948","display_name":"Anthony Hoogs","orcid":null},"institutions":[{"id":"https://openalex.org/I74786994","display_name":"Kitware (United States)","ror":"https://ror.org/02s2acn37","country_code":"US","type":"company","lineage":["https://openalex.org/I74786994"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anthony Hoogs","raw_affiliation_strings":["Kitware, Inc.,Clifton Park,NY,12065"],"affiliations":[{"raw_affiliation_string":"Kitware, Inc.,Clifton Park,NY,12065","institution_ids":["https://openalex.org/I74786994"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002310440"],"corresponding_institution_ids":["https://openalex.org/I74786994"],"apc_list":null,"apc_paid":null,"fwci":0.3612,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.66825895,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2846","last_page":"2856"},"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/T11448","display_name":"Face recognition and analysis","score":0.9905999898910522,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9905999898910522,"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/commit","display_name":"Commit","score":0.8729748725891113},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7487106323242188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6526767015457153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.570737898349762},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5679242014884949},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41217243671417236},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32381051778793335}],"concepts":[{"id":"https://openalex.org/C153180980","wikidata":"https://www.wikidata.org/wiki/Q19776675","display_name":"Commit","level":2,"score":0.8729748725891113},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7487106323242188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6526767015457153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.570737898349762},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5679242014884949},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41217243671417236},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32381051778793335},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvprw56347.2022.00322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw56347.2022.00322","pdf_url":null,"source":{"id":"https://openalex.org/S4363607748","display_name":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"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":78,"referenced_works":["https://openalex.org/W1493448952","https://openalex.org/W1533303231","https://openalex.org/W1849277567","https://openalex.org/W1982925187","https://openalex.org/W2007146377","https://openalex.org/W2055444136","https://openalex.org/W2130808970","https://openalex.org/W2137659841","https://openalex.org/W2149536289","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2282821441","https://openalex.org/W2432402544","https://openalex.org/W2520433280","https://openalex.org/W2551119324","https://openalex.org/W2594475271","https://openalex.org/W2598634450","https://openalex.org/W2606462007","https://openalex.org/W2753415590","https://openalex.org/W2778796877","https://openalex.org/W2788481061","https://openalex.org/W2795758732","https://openalex.org/W2811104224","https://openalex.org/W2944176689","https://openalex.org/W2945976633","https://openalex.org/W2952841512","https://openalex.org/W2953073956","https://openalex.org/W2962059918","https://openalex.org/W2962858109","https://openalex.org/W2962926870","https://openalex.org/W2963047834","https://openalex.org/W2963842104","https://openalex.org/W2963953476","https://openalex.org/W2964163358","https://openalex.org/W2966845359","https://openalex.org/W2967515867","https://openalex.org/W2986999591","https://openalex.org/W3003385079","https://openalex.org/W3004542466","https://openalex.org/W3011005294","https://openalex.org/W3034580371","https://openalex.org/W3035186652","https://openalex.org/W3035602609","https://openalex.org/W3094233077","https://openalex.org/W3100506510","https://openalex.org/W3100555577","https://openalex.org/W3101609372","https://openalex.org/W3110182042","https://openalex.org/W3144877032","https://openalex.org/W3186608063","https://openalex.org/W3195939161","https://openalex.org/W3204060250","https://openalex.org/W3207427043","https://openalex.org/W3213556453","https://openalex.org/W4212930167","https://openalex.org/W4214736485","https://openalex.org/W4220700435","https://openalex.org/W4226065182","https://openalex.org/W4231095098","https://openalex.org/W4300235091","https://openalex.org/W4389739628","https://openalex.org/W6631923913","https://openalex.org/W6639204139","https://openalex.org/W6646071477","https://openalex.org/W6687888618","https://openalex.org/W6735531217","https://openalex.org/W6743243371","https://openalex.org/W6743846187","https://openalex.org/W6747395325","https://openalex.org/W6748382702","https://openalex.org/W6752170072","https://openalex.org/W6753001334","https://openalex.org/W6754669440","https://openalex.org/W6766449776","https://openalex.org/W6774415828","https://openalex.org/W6778937021","https://openalex.org/W6779243538","https://openalex.org/W6808939475"],"related_works":["https://openalex.org/W4367365664","https://openalex.org/W4385326140","https://openalex.org/W4293227618","https://openalex.org/W2136634148","https://openalex.org/W3122851392","https://openalex.org/W3122800671","https://openalex.org/W4250708772","https://openalex.org/W4288862737","https://openalex.org/W1984769753","https://openalex.org/W2129713739"],"abstract_inverted_index":{"Modern":[0],"surveillance":[1,175],"systems":[2,25],"have":[3,43],"become":[4],"increasingly":[5],"dependent":[6],"on":[7,65,129],"artificial":[8],"intelligence":[9],"to":[10,22,75,110],"provide":[11,106],"actionable":[12],"information":[13],"for":[14,58],"real-time":[15],"decision":[16],"making.":[17],"A":[18,68],"critical":[19],"question":[20],"relates":[21],"how":[23],"these":[24,118],"handle":[26],"difficult":[27],"ethical":[28,170],"dilemmas,":[29],"such":[30],"as":[31,47],"the":[32,101,112,163,169],"re-identification":[33,136,165],"of":[34,40,52,82,100,103,114,151,174],"similar":[35,86],"looking":[36],"individuals.":[37],"Potential":[38],"misidentification":[39],"individuals":[41,53],"can":[42,96,154],"severe":[44],"negative":[45],"consequences,":[46],"evidenced":[48],"by":[49,158],"recent":[50],"headlines":[51],"who":[54],"were":[55],"wrongly":[56],"targeted":[57],"crimes":[59],"they":[60],"did":[61],"not":[62],"commit":[63],"based":[64],"false":[66,115],"matches.":[67],"computer":[69],"vision-based":[70],"saliency":[71,94,127,153],"algorithm":[72],"is":[73],"proposed":[74],"help":[76],"identify":[77],"pixel-level":[78],"differences":[79],"in":[80,117,132,162],"pairs":[81],"images":[83],"containing":[84],"visually":[85],"individuals,":[87],"which":[88],"we":[89],"term":[90],"\"doppelg\u00e4ngers.\"":[91],"The":[92],"computed":[93],"maps":[95],"alert":[97],"human":[98,160],"users":[99,161],"presence":[102],"doppelg\u00e4ngers":[104,130],"and":[105,125,171],"important":[107],"visual":[108,152],"evidence":[109],"reduce":[111],"potential":[113],"matches":[116],"high-stakes":[119],"situations.":[120],"We":[121],"show":[122],"both":[123],"qualitative":[124],"quantitative":[126],"results":[128,145],"found":[131],"a":[133],"video-based":[134],"person":[135,164],"dataset":[137],"(MARS)":[138],"using":[139],"three":[140],"different":[141],"state-of-the-art":[142],"models.":[143],"Our":[144],"suggest":[146],"that":[147],"this":[148],"novel":[149],"use":[150],"improve":[155],"overall":[156],"outcomes":[157],"helping":[159],"setting,":[166],"while":[167],"assuring":[168],"trusted":[172],"operation":[173],"systems.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}