{"id":"https://openalex.org/W2927958594","doi":"https://doi.org/10.23919/mva.2019.8758063","title":"Zero-shot Learning of 3D Point Cloud Objects","display_name":"Zero-shot Learning of 3D Point Cloud Objects","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2927958594","doi":"https://doi.org/10.23919/mva.2019.8758063","mag":"2927958594"},"language":"en","primary_location":{"id":"doi:10.23919/mva.2019.8758063","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mva.2019.8758063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th International Conference on Machine Vision Applications (MVA)","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/A5047166819","display_name":"Ali Cheraghian","orcid":"https://orcid.org/0000-0002-3324-7849"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]},{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ali Cheraghian","raw_affiliation_strings":["Data61-CSIRO, Australian National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data61-CSIRO, Australian National University","institution_ids":["https://openalex.org/I118347636","https://openalex.org/I1292875679","https://openalex.org/I42894916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007895165","display_name":"Shafin Rahman","orcid":"https://orcid.org/0000-0001-7169-0318"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]},{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shafin Rahman","raw_affiliation_strings":["Data61-CSIRO, Australian National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data61-CSIRO, Australian National University","institution_ids":["https://openalex.org/I118347636","https://openalex.org/I1292875679","https://openalex.org/I42894916"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060335798","display_name":"Lars Petersson","orcid":"https://orcid.org/0000-0002-0103-1904"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]},{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lars Petersson","raw_affiliation_strings":["Data61-CSIRO, Australian National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data61-CSIRO, Australian National University","institution_ids":["https://openalex.org/I118347636","https://openalex.org/I1292875679","https://openalex.org/I42894916"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":52,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9973000288009644,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9973000288009644,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9688000082969666,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.935699999332428,"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/point-cloud","display_name":"Point cloud","score":0.877422034740448},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7717158794403076},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.6337857246398926},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6291671395301819},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6180406808853149},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.46520811319351196},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.44698241353034973},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40031498670578003},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3871770203113556},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3276504874229431},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08413910865783691},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07281652092933655}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.877422034740448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7717158794403076},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.6337857246398926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6291671395301819},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6180406808853149},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.46520811319351196},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.44698241353034973},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40031498670578003},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3871770203113556},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3276504874229431},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08413910865783691},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07281652092933655},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/mva.2019.8758063","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mva.2019.8758063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th International Conference on Machine Vision Applications (MVA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W93016980","https://openalex.org/W1614298861","https://openalex.org/W1644641054","https://openalex.org/W1686810756","https://openalex.org/W1797268635","https://openalex.org/W1836465849","https://openalex.org/W1875842236","https://openalex.org/W1920022804","https://openalex.org/W2008353316","https://openalex.org/W2084286148","https://openalex.org/W2099940712","https://openalex.org/W2128532956","https://openalex.org/W2134270519","https://openalex.org/W2153579005","https://openalex.org/W2250539671","https://openalex.org/W2251984315","https://openalex.org/W2334493732","https://openalex.org/W2552383788","https://openalex.org/W2560609797","https://openalex.org/W2601051138","https://openalex.org/W2611345819","https://openalex.org/W2620629206","https://openalex.org/W2724492314","https://openalex.org/W2746797088","https://openalex.org/W2789912340","https://openalex.org/W2949117887","https://openalex.org/W2950577311","https://openalex.org/W2951019013","https://openalex.org/W2951871104","https://openalex.org/W2952073179","https://openalex.org/W2963052338","https://openalex.org/W2963121255","https://openalex.org/W2963158438","https://openalex.org/W2963708168","https://openalex.org/W2963719584","https://openalex.org/W2963830382","https://openalex.org/W2979750740","https://openalex.org/W3099554308","https://openalex.org/W3143107425","https://openalex.org/W4233045210","https://openalex.org/W4294170691","https://openalex.org/W6603820874","https://openalex.org/W6640300118","https://openalex.org/W6682691769","https://openalex.org/W6691638154","https://openalex.org/W6739778489","https://openalex.org/W6749134779","https://openalex.org/W6763422710"],"related_works":["https://openalex.org/W4214877189","https://openalex.org/W2074502265","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2366718574","https://openalex.org/W4388696151","https://openalex.org/W2359774528","https://openalex.org/W4298312966","https://openalex.org/W4244478748","https://openalex.org/W2728912566"],"abstract_inverted_index":{"Recent":[0],"deep":[1],"learning":[2,77],"architectures":[3],"can":[4,70],"recognize":[5],"instances":[6],"of":[7,12,32,89,105,133,159],"3D":[8,23,33,54,81,115,144,192],"point":[9,34,55,116,145,193],"cloud":[10,35,56,117,146,194],"objects":[11,36,63,98,147],"previously":[13,46],"seen":[14,47,106],"classes":[15],"quite":[16],"well.":[17],"At":[18],"the":[19,85,90,121,131,138,149,157,162,177,181,191],"same":[20,91],"time,":[21],"current":[22],"depth":[24],"camera":[25],"technology":[26],"allows":[27],"generating/segmenting":[28],"a":[29,53,75,187],"large":[30],"amount":[31],"from":[37,64],"an":[38],"arbitrary":[39],"scene,":[40],"for":[41,52,80],"which":[42],"there":[43],"is":[44,137,169],"no":[45],"training":[48],"data.":[49],"A":[50,152],"challenge":[51,189],"recognition":[57,118,195],"system":[58],"is,":[59],"then,":[60],"to":[61,84,95,120,127,141,165,190],"classify":[62,96,142],"new,":[65],"unseen,":[66],"classes.":[67,109],"This":[68,184],"issue":[69],"be":[71],"resolved":[72],"by":[73,99],"adopting":[74],"zero-shot":[76],"(ZSL)":[78],"approach":[79],"data,":[82],"similar":[83],"2D":[86],"image":[87],"version":[88],"problem.":[92],"ZSL":[93,122,150],"attempts":[94],"unseen":[97,108,143],"comparing":[100],"semantic":[101],"information":[102],"(attribute/word":[103],"vector)":[104],"and":[107,161],"Here,":[110],"we":[111],"adapt":[112],"several":[113],"recent":[114],"systems":[119,168],"setting":[123],"with":[124],"some":[125],"changes":[126],"their":[128],"architectures.":[129],"To":[130],"best":[132],"our":[134],"knowledge,":[135],"this":[136],"first":[139],"attempt":[140],"in":[148],"setting.":[151],"standard":[153],"protocol":[154,179],"(which":[155],"includes":[156],"choice":[158],"datasets":[160],"seen/unseen":[163],"split)":[164],"evaluate":[166],"such":[167],"also":[170],"proposed.":[171],"Baseline":[172],"performances":[173],"are":[174],"reported":[175],"using":[176],"new":[178,188],"on":[180],"investigated":[182],"models.":[183],"investigation":[185],"throws":[186],"community":[196],"that":[197],"may":[198],"instigate":[199],"numerous":[200],"future":[201],"works.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}