{"id":"https://openalex.org/W4380354474","doi":"https://doi.org/10.1007/s10044-023-01168-6","title":"MVDet: multi-view multi-class object detection without ground plane assumption","display_name":"MVDet: multi-view multi-class object detection without ground plane assumption","publication_year":2023,"publication_date":"2023-06-13","ids":{"openalex":"https://openalex.org/W4380354474","doi":"https://doi.org/10.1007/s10044-023-01168-6"},"language":"en","primary_location":{"id":"doi:10.1007/s10044-023-01168-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10044-023-01168-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10044-023-01168-6.pdf","source":{"id":"https://openalex.org/S45497385","display_name":"Pattern Analysis and Applications","issn_l":"1433-7541","issn":["1433-7541","1433-755X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Analysis and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10044-023-01168-6.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102522381","display_name":"Sola Park","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sola Park","raw_affiliation_strings":["Department of ECE, Seoul National University, 1 Gwanak-ro, Seoul, 08826, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of ECE, Seoul National University, 1 Gwanak-ro, Seoul, 08826, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055093558","display_name":"S. Yang","orcid":"https://orcid.org/0000-0001-6905-6553"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungjin Yang","raw_affiliation_strings":["Department of ECE, Seoul National University, 1 Gwanak-ro, Seoul, 08826, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of ECE, Seoul National University, 1 Gwanak-ro, Seoul, 08826, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102861073","display_name":"Hyuk-Jae Lee","orcid":"https://orcid.org/0000-0001-8895-9117"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyuk-Jae Lee","raw_affiliation_strings":["Department of ECE, Seoul National University, 1 Gwanak-ro, Seoul, 08826, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of ECE, Seoul National University, 1 Gwanak-ro, Seoul, 08826, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102522381"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.9839,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.77405458,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"26","issue":"3","first_page":"1059","last_page":"1070"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9983000159263611,"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/epipolar-geometry","display_name":"Epipolar geometry","score":0.7852209806442261},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7632063627243042},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7053642272949219},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6479983329772949},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5883099436759949},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5646321177482605},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5592113137245178},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5509341359138489},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5277151465415955},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.5119210481643677},{"id":"https://openalex.org/keywords/ground-plane","display_name":"Ground plane","score":0.4965675473213196},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4787311255931854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42192256450653076},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16934481263160706}],"concepts":[{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.7852209806442261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7632063627243042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7053642272949219},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6479983329772949},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5883099436759949},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5646321177482605},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5592113137245178},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5509341359138489},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5277151465415955},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.5119210481643677},{"id":"https://openalex.org/C88764893","wikidata":"https://www.wikidata.org/wiki/Q1547722","display_name":"Ground plane","level":3,"score":0.4965675473213196},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4787311255931854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42192256450653076},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16934481263160706},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10044-023-01168-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10044-023-01168-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10044-023-01168-6.pdf","source":{"id":"https://openalex.org/S45497385","display_name":"Pattern Analysis and Applications","issn_l":"1433-7541","issn":["1433-7541","1433-755X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Analysis and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10044-023-01168-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10044-023-01168-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10044-023-01168-6.pdf","source":{"id":"https://openalex.org/S45497385","display_name":"Pattern Analysis and Applications","issn_l":"1433-7541","issn":["1433-7541","1433-755X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Analysis and Applications","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4380354474.pdf"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W116751493","https://openalex.org/W1644641054","https://openalex.org/W1946609740","https://openalex.org/W2058536148","https://openalex.org/W2095727456","https://openalex.org/W2096733369","https://openalex.org/W2108598243","https://openalex.org/W2114111978","https://openalex.org/W2141822239","https://openalex.org/W2193145675","https://openalex.org/W2468368736","https://openalex.org/W2473532709","https://openalex.org/W2588287671","https://openalex.org/W2604234451","https://openalex.org/W2736410039","https://openalex.org/W2736506089","https://openalex.org/W2795758732","https://openalex.org/W2799199435","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963842104","https://openalex.org/W2963859909","https://openalex.org/W2964062501","https://openalex.org/W2964304299","https://openalex.org/W2992803801","https://openalex.org/W2997958396","https://openalex.org/W3034236957","https://openalex.org/W3034971973","https://openalex.org/W3034973071","https://openalex.org/W3099141824","https://openalex.org/W3100506510","https://openalex.org/W3106250896","https://openalex.org/W3107147550","https://openalex.org/W3107828565","https://openalex.org/W3109747200","https://openalex.org/W3187289500","https://openalex.org/W6603944243"],"related_works":["https://openalex.org/W132764016","https://openalex.org/W2148054235","https://openalex.org/W2132043085","https://openalex.org/W4251504644","https://openalex.org/W1721537561","https://openalex.org/W2123437433","https://openalex.org/W2369285629","https://openalex.org/W3094179683","https://openalex.org/W2336873990","https://openalex.org/W1992677668"],"abstract_inverted_index":{"Abstract":[0],"Although":[1],"many":[2],"state-of-the-art":[3],"methods":[4],"of":[5,31,44,100],"object":[6,46],"detection":[7,47,82,107],"in":[8,16,28,48,65,84],"a":[9,85,115,160],"single":[10,116],"image":[11],"have":[12],"achieved":[13],"great":[14],"success":[15],"the":[17,25,32,42,78,98,119,154,183],"last":[18],"few":[19],"years,":[20],"they":[21],"still":[22],"suffer":[23],"from":[24,94],"false":[26],"positives":[27],"crowd":[29],"scenes":[30],"real-world":[33],"applications":[34],"like":[35],"automatic":[36],"checkout.":[37],"In":[38],"order":[39],"to":[40,114,158,179],"address":[41],"limitations":[43],"single-view":[45],"complex":[49],"scenes,":[50],"we":[51,140,152],"propose":[52,141],"MVDet,":[53],"an":[54,142],"end-to-end":[55],"learnable":[56],"approach":[57,74,123],"that":[58,80,111,164],"can":[59,88,124],"detect":[60],"and":[61,131,149],"re-identify":[62],"multi-class":[63,126,138],"objects":[64,112,127],"multiple":[66,70],"images":[67],"captured":[68],"by":[69],"cameras":[71],"(multi-view).":[72],"Our":[73,173],"is":[75,132],"based":[76],"on":[77,118,182],"premise":[79],"incorrect":[81],"results":[83],"specific":[86],"view":[87],"be":[89],"eliminated":[90],"using":[91],"precise":[92],"cues":[93],"other":[95],"views,":[96],"given":[97],"availability":[99],"multi-view":[101,106],"images.":[102],"Unlike":[103],"most":[104],"existing":[105],"algorithms,":[108],"which":[109],"assume":[110],"belong":[113],"class":[117],"ground":[120,170],"plane,":[121],"our":[122],"classify":[125,137],"without":[128],"such":[129],"assumptions":[130,168],"thus":[133],"more":[134],"practical.":[135],"To":[136],"objects,":[139],"integrated":[143],"architecture":[144],"for":[145],"region":[146],"proposal,":[147],"re-identification,":[148],"classification.":[150],"Additionally,":[151],"utilize":[153],"epipolar":[155],"geometry":[156],"constraint":[157],"devise":[159],"novel":[161],"re-identification":[162],"algorithm":[163],"does":[165],"not":[166],"require":[167],"about":[169],"plane":[171],"assumption.":[172],"model":[174],"demonstrates":[175],"competitive":[176],"performance":[177],"compared":[178],"several":[180],"baselines":[181],"challenging":[184],"MessyTable":[185],"dataset.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2}],"updated_date":"2026-01-22T23:29:09.771500","created_date":"2025-10-10T00:00:00"}
