{"id":"https://openalex.org/W2895154322","doi":"https://doi.org/10.1145/3243394.3243687","title":"Unsupervised Hashing with Neural Trees for Image Retrieval and Person Re-Identification","display_name":"Unsupervised Hashing with Neural Trees for Image Retrieval and Person Re-Identification","publication_year":2018,"publication_date":"2018-09-03","ids":{"openalex":"https://openalex.org/W2895154322","doi":"https://doi.org/10.1145/3243394.3243687","mag":"2895154322"},"language":"en","primary_location":{"id":"doi:10.1145/3243394.3243687","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3243394.3243687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Distributed Smart Cameras","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11390/1171388","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005142628","display_name":"Niki Martinel","orcid":"https://orcid.org/0000-0002-6962-8643"},"institutions":[{"id":"https://openalex.org/I129043915","display_name":"University of Udine","ror":"https://ror.org/05ht0mh31","country_code":"IT","type":"education","lineage":["https://openalex.org/I129043915"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Niki Martinel","raw_affiliation_strings":["University of Udine, Udine, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Udine, Udine, Italy","institution_ids":["https://openalex.org/I129043915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078277002","display_name":"Gian Luca Foresti","orcid":"https://orcid.org/0000-0002-8425-6892"},"institutions":[{"id":"https://openalex.org/I129043915","display_name":"University of Udine","ror":"https://ror.org/05ht0mh31","country_code":"IT","type":"education","lineage":["https://openalex.org/I129043915"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gian Luca Foresti","raw_affiliation_strings":["University of Udine, Udine, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Udine, Udine, Italy","institution_ids":["https://openalex.org/I129043915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044011298","display_name":"Christian Micheloni","orcid":"https://orcid.org/0000-0003-4503-7483"},"institutions":[{"id":"https://openalex.org/I129043915","display_name":"University of Udine","ror":"https://ror.org/05ht0mh31","country_code":"IT","type":"education","lineage":["https://openalex.org/I129043915"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Christian Micheloni","raw_affiliation_strings":["University of Udine, Udine, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Udine, Udine, Italy","institution_ids":["https://openalex.org/I129043915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I129043915"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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":0.9995999932289124,"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":0.9944000244140625,"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":0.8263119459152222},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.8214410543441772},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6043001413345337},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5866685509681702},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5648866891860962},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5535229444503784},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4733300805091858},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.46945804357528687},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.4683102071285248},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46233034133911133},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4470307230949402},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3714972734451294},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3211848735809326}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8263119459152222},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.8214410543441772},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6043001413345337},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5866685509681702},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5648866891860962},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5535229444503784},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4733300805091858},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.46945804357528687},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4683102071285248},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46233034133911133},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4470307230949402},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3714972734451294},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3211848735809326},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3243394.3243687","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3243394.3243687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Distributed Smart Cameras","raw_type":"proceedings-article"},{"id":"pmh:oai:air.uniud.it:11390/1171388","is_oa":true,"landing_page_url":"http://hdl.handle.net/11390/1171388","pdf_url":null,"source":{"id":"https://openalex.org/S4306401163","display_name":"Institutional Research Information System (University of Udine)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I129043915","host_organization_name":"University of Udine","host_organization_lineage":["https://openalex.org/I129043915"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:air.uniud.it:11390/1171388","is_oa":true,"landing_page_url":"http://hdl.handle.net/11390/1171388","pdf_url":null,"source":{"id":"https://openalex.org/S4306401163","display_name":"Institutional Research Information System (University of Udine)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I129043915","host_organization_name":"University of Udine","host_organization_lineage":["https://openalex.org/I129043915"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1870428314","https://openalex.org/W1923967535","https://openalex.org/W1943357268","https://openalex.org/W1956333070","https://openalex.org/W1974647172","https://openalex.org/W1982925187","https://openalex.org/W2029205712","https://openalex.org/W2038276547","https://openalex.org/W2044049125","https://openalex.org/W2044195942","https://openalex.org/W2143321506","https://openalex.org/W2164338181","https://openalex.org/W2221852422","https://openalex.org/W2247935935","https://openalex.org/W2292992741","https://openalex.org/W2293597654","https://openalex.org/W2295469624","https://openalex.org/W2411707397","https://openalex.org/W2461086877","https://openalex.org/W2464915613","https://openalex.org/W2508837377","https://openalex.org/W2509619282","https://openalex.org/W2513162219","https://openalex.org/W2519998487","https://openalex.org/W2546875910","https://openalex.org/W2627183927","https://openalex.org/W2762085884","https://openalex.org/W2768425822","https://openalex.org/W2771872884","https://openalex.org/W2781821509","https://openalex.org/W2913932916","https://openalex.org/W2962835968","https://openalex.org/W3103722964","https://openalex.org/W3118608800"],"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/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175"],"abstract_inverted_index":{"Recent":[0],"vision":[1],"studies":[2],"have":[3,67,170],"shown":[4],"that":[5],"learning":[6,34],"compact":[7,35],"codes":[8],"is":[9,124],"of":[10,31,46,56,103,120,137,144,150],"paramount":[11],"importance":[12],"to":[13,28,53,72,127,133],"improve":[14],"the":[15,47,54,73,81,98,121,125,135,138,145,148,155],"massive":[16],"data":[17],"processing":[18],"while":[19],"significantly":[20],"reducing":[21],"storage":[22],"footprints.":[23],"This":[24],"has":[25,50],"recently":[26],"yielded":[27],"a":[29,89,110,114,130],"surge":[30],"effort":[32],"in":[33,76,129],"and":[36,106,167],"robust":[37],"hash":[38,58],"functions":[39],"for":[40,80,164],"image":[41,165],"retrieval":[42,166],"tasks.":[43],"The":[44,117],"majority":[45],"existing":[48],"literature":[49],"been":[51,68,171],"devoted":[52],"exploration":[55],"deep":[57,104],"functions,":[59],"typically":[60],"under":[61],"supervised":[62],"scenarios.":[63],"Unsupervised":[64],"hashing":[65,94],"methods":[66],"less":[69],"attractive":[70],"due":[71],"their":[74],"difficulty":[75],"achieving":[77],"satisfactory":[78],"performance":[79],"same":[82],"objective.":[83],"In":[84],"this":[85,108],"work,":[86],"we":[87],"propose":[88],"simple":[90],"yet":[91],"effective":[92],"unsupervised":[93],"framework,":[95],"which":[96],"exploits":[97],"powerful":[99],"visual":[100],"representation":[101],"capabilities":[102],"architectures":[105],"combines":[107],"within":[109],"tree":[111,146],"structure":[112],"involving":[113],"multi-path":[115],"scheme.":[116],"key":[118],"advantage":[119],"proposed":[122,156],"method":[123],"ability":[126],"bring":[128],"divide-and-conquer":[131],"approach":[132],"reduce":[134],"complexity":[136],"classification":[139],"problem":[140],"at":[141],"each":[142],"node":[143],"without":[147],"need":[149],"labeled":[151],"data.":[152],"To":[153],"validate":[154],"solution,":[157],"experimental":[158],"results":[159],"on":[160],"two":[161],"benchmark":[162],"datasets":[163],"person":[168],"re-identification":[169],"computed.":[172]},"counts_by_year":[{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2018-10-12T00:00:00"}