{"id":"https://openalex.org/W4383097678","doi":"https://doi.org/10.1109/icra48891.2023.10160506","title":"Place Recognition under Occlusion and Changing Appearance via Disentangled Representations","display_name":"Place Recognition under Occlusion and Changing Appearance via Disentangled Representations","publication_year":2023,"publication_date":"2023-05-29","ids":{"openalex":"https://openalex.org/W4383097678","doi":"https://doi.org/10.1109/icra48891.2023.10160506"},"language":"en","primary_location":{"id":"doi:10.1109/icra48891.2023.10160506","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icra48891.2023.10160506","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100454800","display_name":"Yue Chen","orcid":"https://orcid.org/0000-0001-9224-4165"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Chen","raw_affiliation_strings":["Xi'an Jiaotong University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100387343","display_name":"Xingyu Chen","orcid":"https://orcid.org/0000-0002-4946-7635"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyu Chen","raw_affiliation_strings":["Xi'an Jiaotong University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061819088","display_name":"Yicen Li","orcid":null},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yicen Li","raw_affiliation_strings":["McMaster University,Canada","McMaster University, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"McMaster University,Canada","institution_ids":["https://openalex.org/I98251732"]},{"raw_affiliation_string":"McMaster University, Canada","institution_ids":["https://openalex.org/I98251732"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10906361,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"29","issue":null,"first_page":"1882","last_page":"1888"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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":0.9995999932289124,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7564594745635986},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.7194511890411377},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6458983421325684},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6124975681304932},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6086195111274719},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5942367315292358},{"id":"https://openalex.org/keywords/occlusion","display_name":"Occlusion","score":0.5795245170593262},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5731054544448853},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5261150002479553},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4904739558696747},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3795025944709778}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7564594745635986},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.7194511890411377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6458983421325684},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6124975681304932},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6086195111274719},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5942367315292358},{"id":"https://openalex.org/C2776268601","wikidata":"https://www.wikidata.org/wiki/Q968808","display_name":"Occlusion","level":2,"score":0.5795245170593262},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5731054544448853},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5261150002479553},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4904739558696747},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3795025944709778},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra48891.2023.10160506","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icra48891.2023.10160506","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1915328033","https://openalex.org/W1989484209","https://openalex.org/W2012592962","https://openalex.org/W2073761981","https://openalex.org/W2108501770","https://openalex.org/W2110405746","https://openalex.org/W2117228865","https://openalex.org/W2124386111","https://openalex.org/W2144824356","https://openalex.org/W2151103935","https://openalex.org/W2620629206","https://openalex.org/W2737165983","https://openalex.org/W2740418457","https://openalex.org/W2951019013","https://openalex.org/W2952056941","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963226019","https://openalex.org/W2963344645","https://openalex.org/W2963359064","https://openalex.org/W2963890275","https://openalex.org/W2964019233","https://openalex.org/W2969121634","https://openalex.org/W2974441319","https://openalex.org/W3003924953","https://openalex.org/W3087446705","https://openalex.org/W3090256838","https://openalex.org/W3159890710","https://openalex.org/W4240805545","https://openalex.org/W6640296361","https://openalex.org/W6675944832","https://openalex.org/W6718140377","https://openalex.org/W6750298367","https://openalex.org/W6783905539"],"related_works":["https://openalex.org/W2468279273","https://openalex.org/W2354198838","https://openalex.org/W1989130879","https://openalex.org/W2103419012","https://openalex.org/W2988126442","https://openalex.org/W1974414866","https://openalex.org/W2063982682","https://openalex.org/W2338543196","https://openalex.org/W1544691147","https://openalex.org/W2039176012"],"abstract_inverted_index":{"Place":[0],"recognition":[1],"is":[2],"a":[3,22,26,86,91],"critical":[4],"and":[5,43,65,103,123],"challenging":[6],"task":[7],"for":[8],"mobile":[9],"robots,":[10],"aiming":[11],"to":[12,31,78,93],"retrieve":[13,94],"an":[14,75,96,104],"image":[15,24,55,81],"captured":[16],"at":[17,127],"the":[18,54,80,118],"same":[19],"place":[20,61,87],"as":[21,90],"query":[23],"from":[25],"database.":[27],"Existing":[28],"methods":[29],"tend":[30],"fail":[32],"while":[33],"robots":[34],"move":[35],"autonomously":[36],"under":[37],"occlusion":[38,66,105,109],"(e.g.,":[39,46],"car,":[40],"bus,":[41],"truck)":[42],"changing":[44],"appearance":[45,64,97,101],"illumination":[47],"changes,":[48],"seasonal":[49],"variation).":[50],"Because":[51],"they":[52],"encode":[53],"into":[56,83],"only":[57],"one":[58],"code,":[59],"entangling":[60],"features":[62],"with":[63],"features.":[67],"To":[68],"overcome":[69],"this":[70],"limitation,":[71],"we":[72],"propose":[73],"PROCA,":[74],"unsupervised":[76],"approach":[77],"decompose":[79],"representation":[82],"three":[84],"codes:":[85],"code":[88,98,106,122],"used":[89],"descriptor":[92],"images,":[95],"that":[99,107,114],"captures":[100],"properties,":[102],"encodes":[108],"content.":[110],"Extensive":[111],"experiments":[112],"show":[113],"our":[115],"model":[116],"outperforms":[117],"state-of-the-art":[119],"methods.":[120],"Our":[121],"data":[124],"are":[125],"available":[126],"https://github.com/rover-xingyu/PROCA.":[128]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}