{"id":"https://openalex.org/W4402981881","doi":"https://doi.org/10.1109/icme57554.2024.10687398","title":"VS3D: A Vote-Based Semi-Supervised 3D Object Detection Framework for Point Clouds","display_name":"VS3D: A Vote-Based Semi-Supervised 3D Object Detection Framework for Point Clouds","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402981881","doi":"https://doi.org/10.1109/icme57554.2024.10687398"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10687398","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10687398","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","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/A5072311459","display_name":"Shuhua Wang","orcid":"https://orcid.org/0000-0002-0736-3010"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuhua Wang","raw_affiliation_strings":["University of Chinese Academy of Sciences,School of Engineering Science,Beijing,China,100049"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences,School of Engineering Science,Beijing,China,100049","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079281855","display_name":"Ke L\u00fc","orcid":"https://orcid.org/0000-0002-3456-4993"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Lu","raw_affiliation_strings":["University of Chinese Academy of Sciences,School of Engineering Science,Beijing,China,100049"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences,School of Engineering Science,Beijing,China,100049","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115602222","display_name":"Yang Zhao","orcid":"https://orcid.org/0000-0002-3883-4997"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zhao","raw_affiliation_strings":["University of Chinese Academy of Sciences,School of Engineering Science,Beijing,China,100049"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences,School of Engineering Science,Beijing,China,100049","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069997612","display_name":"Hengsheng Lun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengsheng Lun","raw_affiliation_strings":["University of Chinese Academy of Sciences,School of Engineering Science,Beijing,China,100049"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences,School of Engineering Science,Beijing,China,100049","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057813417","display_name":"Zehai Niu","orcid":"https://orcid.org/0009-0003-1732-8627"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zehai Niu","raw_affiliation_strings":["University of Chinese Academy of Sciences,School of Engineering Science,Beijing,China,100049"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences,School of Engineering Science,Beijing,China,100049","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100763213","display_name":"Jian Xue","orcid":"https://orcid.org/0000-0002-9460-802X"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Xue","raw_affiliation_strings":["University of Chinese Academy of Sciences,School of Engineering Science,Beijing,China,100049"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences,School of Engineering Science,Beijing,China,100049","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5072311459"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20092908,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","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":0.9959999918937683,"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":0.9959999918937683,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9939000010490417,"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"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9886999726295471,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7648622989654541},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7477632761001587},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5788834691047668},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5297965407371521},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5246344208717346},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4918951988220215},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4432452619075775},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3285006284713745},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.125625878572464}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7648622989654541},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7477632761001587},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5788834691047668},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5297965407371521},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5246344208717346},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4918951988220215},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4432452619075775},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3285006284713745},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.125625878572464},{"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:10.1109/icme57554.2024.10687398","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10687398","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1923184257","https://openalex.org/W2229637417","https://openalex.org/W2594519801","https://openalex.org/W2904332125","https://openalex.org/W2988715931","https://openalex.org/W3034428269","https://openalex.org/W3035057392","https://openalex.org/W3176457187","https://openalex.org/W4312294656","https://openalex.org/W4312799694","https://openalex.org/W4313165093","https://openalex.org/W4313168566","https://openalex.org/W4386075772","https://openalex.org/W6733814495"],"related_works":["https://openalex.org/W3016928466","https://openalex.org/W4389574804","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W3108295644","https://openalex.org/W1578717197","https://openalex.org/W2626737336","https://openalex.org/W2005998065","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"In":[0,33],"recent":[1],"years,":[2],"the":[3,22,128,132],"3D":[4,26,43],"object":[5,44,83],"detection":[6,45,105],"method":[7,108,130],"has":[8],"undergone":[9],"rapid":[10],"evolution,":[11],"heavily":[12],"relying":[13],"on":[14,119],"substantial":[15],"amounts":[16],"of":[17,24],"high-quality":[18],"labeled":[19,141],"data.":[20,142],"However,":[21],"process":[23],"annotating":[25],"data":[27,51],"is":[28,59,79,97],"both":[29],"time-consuming":[30],"and":[31,65,103,122],"costly.":[32],"response":[34],"to":[35,61,81,99],"this":[36],"challenge,":[37],"we":[38],"propose":[39],"a":[40,50,88],"vote-based":[41,112],"semi-supervised":[42],"framework":[46],"called":[47],"VS3D.":[48],"First,":[49],"augmentation":[52],"technique":[53],"named":[54],"Random":[55],"Grid":[56],"Deleting":[57],"(RGD)":[58],"proposed":[60,129],"detect":[62],"occluded":[63],"objects":[64,67],"small":[66],"more":[68,85],"robustly.":[69],"Then,":[70],"an":[71],"auxiliary":[72],"branch":[73],"with":[74,93],"Voting":[75],"Consistency":[76],"Learning":[77],"(VCL)":[78],"added":[80],"predict":[82],"centers":[84],"accurately.":[86],"Additionally,":[87],"Teacher-Student":[89],"Matching":[90],"(TSM)":[91],"module":[92],"stricter":[94],"consistency":[95],"constraints":[96],"designed":[98],"accelerate":[100],"network":[101,115],"convergence":[102],"improve":[104],"performance.":[106],"Our":[107],"can":[109],"integrate":[110],"any":[111],"fully":[113,134],"supervised":[114,135],"seamlessly.":[116],"Extensive":[117],"experiments":[118],"SUN":[120],"RGB-D":[121],"ScanNet":[123],"V2":[124],"datasets":[125],"demonstrate":[126],"that":[127],"outperforms":[131],"state-of-the-art":[133],"model":[136],"when":[137],"using":[138],"only":[139],"70%":[140]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}