{"id":"https://openalex.org/W4390188425","doi":"https://doi.org/10.1109/hpec58863.2023.10363493","title":"MAVR: Multi-Functional Point Cloud Annotations Using Virtual Reality","display_name":"MAVR: Multi-Functional Point Cloud Annotations Using Virtual Reality","publication_year":2023,"publication_date":"2023-09-25","ids":{"openalex":"https://openalex.org/W4390188425","doi":"https://doi.org/10.1109/hpec58863.2023.10363493"},"language":"en","primary_location":{"id":"doi:10.1109/hpec58863.2023.10363493","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/hpec58863.2023.10363493","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE High Performance Extreme Computing Conference (HPEC)","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/A5119032637","display_name":"Xiao Zhang","orcid":"https://orcid.org/0000-0001-6165-5527"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiao Zhang","raw_affiliation_strings":["Worcester Polytechnic Institute,Department of Electrical &#x0026; Computer Engineering and Department of Computer Science,Worcester,MA,USA,01609"],"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute,Department of Electrical &#x0026; Computer Engineering and Department of Computer Science,Worcester,MA,USA,01609","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004022189","display_name":"Zhanhong Huang","orcid":"https://orcid.org/0000-0003-1103-1104"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhanhong Huang","raw_affiliation_strings":["Worcester Polytechnic Institute,Department of Electrical &#x0026; Computer Engineering and Department of Computer Science,Worcester,MA,USA,01609"],"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute,Department of Electrical &#x0026; Computer Engineering and Department of Computer Science,Worcester,MA,USA,01609","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042654091","display_name":"Xinming Huang","orcid":"https://orcid.org/0000-0003-0584-3448"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinming Huang","raw_affiliation_strings":["Worcester Polytechnic Institute,Department of Electrical &#x0026; Computer Engineering and Department of Computer Science,Worcester,MA,USA,01609"],"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute,Department of Electrical &#x0026; Computer Engineering and Department of Computer Science,Worcester,MA,USA,01609","institution_ids":["https://openalex.org/I107077323"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5119032637"],"corresponding_institution_ids":["https://openalex.org/I107077323"],"apc_list":null,"apc_paid":null,"fwci":0.8278,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.79065714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.8663173913955688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8385619521141052},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5917137861251831},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5499687194824219},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5458770394325256},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5431680679321289},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5327233076095581},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.5290635824203491},{"id":"https://openalex.org/keywords/workspace","display_name":"Workspace","score":0.4995253086090088},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.49854493141174316},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.45230841636657715},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4510391354560852},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.42402857542037964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4037213623523712},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.37916868925094604},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3681407868862152}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8663173913955688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8385619521141052},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5917137861251831},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5499687194824219},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5458770394325256},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5431680679321289},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5327233076095581},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.5290635824203491},{"id":"https://openalex.org/C58581272","wikidata":"https://www.wikidata.org/wiki/Q12741163","display_name":"Workspace","level":3,"score":0.4995253086090088},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.49854493141174316},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.45230841636657715},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4510391354560852},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.42402857542037964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4037213623523712},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.37916868925094604},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3681407868862152},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpec58863.2023.10363493","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/hpec58863.2023.10363493","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G921525251","display_name":null,"funder_award_id":"2006738","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2027320805","https://openalex.org/W2070291172","https://openalex.org/W2115579991","https://openalex.org/W2938283962","https://openalex.org/W2967955574","https://openalex.org/W2971142047","https://openalex.org/W2991375205","https://openalex.org/W3043106084","https://openalex.org/W3152786524","https://openalex.org/W3209907784","https://openalex.org/W3212887756","https://openalex.org/W4253784308","https://openalex.org/W4394671432","https://openalex.org/W6750955145"],"related_works":["https://openalex.org/W1992503747","https://openalex.org/W2371519816","https://openalex.org/W2043154226","https://openalex.org/W2369529107","https://openalex.org/W2109948066","https://openalex.org/W2329043542","https://openalex.org/W1999333556","https://openalex.org/W1678858522","https://openalex.org/W3195090107","https://openalex.org/W38056103"],"abstract_inverted_index":{"Learning-based":[0],"point":[1,22,45,81,113],"cloud":[2,23,46],"perception":[3],"methods":[4],"rely":[5],"on":[6,36,102],"labeled":[7],"data":[8,47,117],"for":[9,21,48],"training":[10],"data-driven":[11],"models,":[12],"necessi-tating":[13],"the":[14,61,106],"development":[15],"of":[16,42,79,108],"precise":[17],"and":[18,54,83,90],"efficient":[19],"tools":[20],"annotations.":[24],"In":[25],"this":[26],"paper,":[27],"we":[28,93],"propose":[29,94],"MAVR,":[30],"a":[31,71],"multi-functional":[32],"annotation":[33],"framework":[34],"based":[35],"virtual":[37],"reality":[38],"(VR)":[39],"technology,":[40],"capable":[41],"accurately":[43,111],"labeling":[44],"diverse":[49],"applications,":[50],"including":[51],"part":[52,88],"segmentation":[53,89],"object":[55,87],"detection.":[56],"We":[57],"begin":[58],"by":[59],"evaluating":[60],"user":[62],"interface":[63],"(UI)":[64],"efficiency":[65,68],"through":[66],"interactive":[67],"analysis.":[69],"Subsequently,":[70],"comprehensive":[72],"three-step":[73],"process":[74],"is":[75],"introduced,":[76],"which":[77],"consists":[78],"pre-processing,":[80],"selection,":[82],"post-tagging.":[84],"For":[85],"3D":[86],"scene":[91],"perception,":[92],"two":[95],"distinct":[96],"tagging":[97],"pipelines.":[98],"Our":[99],"experimental":[100],"results":[101],"various":[103],"datasets":[104],"validate":[105],"effectiveness":[107],"MAVR":[109],"in":[110],"annotating":[112],"clouds":[114],"from":[115],"different":[116],"sources":[118],"within":[119],"an":[120],"immersive":[121],"workspace.":[122]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-02-12T06:13:03.167441","created_date":"2025-10-10T00:00:00"}
