{"id":"https://openalex.org/W4376607943","doi":"https://doi.org/10.1109/tcsvt.2023.3275950","title":"Domain Adaptive Sampling for Cross-Domain Point Cloud Recognition","display_name":"Domain Adaptive Sampling for Cross-Domain Point Cloud Recognition","publication_year":2023,"publication_date":"2023-05-15","ids":{"openalex":"https://openalex.org/W4376607943","doi":"https://doi.org/10.1109/tcsvt.2023.3275950"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3275950","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5100347959","display_name":"Zicheng Wang","orcid":"https://orcid.org/0000-0001-8351-0329"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"funder","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zicheng Wang","raw_affiliation_strings":["School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100719271","display_name":"Wen Li","orcid":"https://orcid.org/0000-0002-5559-8594"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"funder","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Li","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082181536","display_name":"Dong Xu","orcid":"https://orcid.org/0000-0003-2775-9730"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"funder","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Dong Xu","raw_affiliation_strings":["School of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]}],"institution_assertions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.1,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.857987,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":95},"biblio":{"volume":"33","issue":"12","first_page":"7604","last_page":"7615"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9928,"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":0.9928,"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":0.9881,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9793,"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/adaptive-sampling","display_name":"Adaptive sampling","score":0.5986963},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.504023},{"id":"https://openalex.org/keywords/representation","display_name":"Representation","score":0.45655245}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8616113},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.70798254},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.5986963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5774332},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.57441413},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.504023},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4730719},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.46009108},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45655245},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35145104},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16228756},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.070002496},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3275950","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life on land","score":0.59,"id":"https://metadata.un.org/sdg/15"}],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"82121003"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"62176047"},{"funder":"https://openalex.org/F4320322170","funder_display_name":"University of Hong Kong","award_id":null},{"funder":"https://openalex.org/F4320333335","funder_display_name":"Sichuan Province Science and Technology Support Program","award_id":"2022YFS0600"},{"funder":"https://openalex.org/F4320333335","funder_display_name":"Sichuan Province Science and Technology Support Program","award_id":"2021YFS0374"}],"datasets":[],"versions":[],"referenced_works_count":47,"referenced_works":["https://openalex.org/W1731081199","https://openalex.org/W1920022804","https://openalex.org/W2114948626","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2211722331","https://openalex.org/W2560609797","https://openalex.org/W2560722161","https://openalex.org/W2594519801","https://openalex.org/W2760103357","https://openalex.org/W2796426482","https://openalex.org/W2798681837","https://openalex.org/W2962687275","https://openalex.org/W2962858109","https://openalex.org/W2963121255","https://openalex.org/W2963719584","https://openalex.org/W2964303773","https://openalex.org/W2979750740","https://openalex.org/W2983064130","https://openalex.org/W3005680577","https://openalex.org/W3028151507","https://openalex.org/W3034314779","https://openalex.org/W3034459762","https://openalex.org/W3034587791","https://openalex.org/W3035198432","https://openalex.org/W3035524453","https://openalex.org/W3096609285","https://openalex.org/W3118341329","https://openalex.org/W3118644257","https://openalex.org/W3155520036","https://openalex.org/W3166712493","https://openalex.org/W3171007011","https://openalex.org/W3175604467","https://openalex.org/W3179527434","https://openalex.org/W3188283811","https://openalex.org/W3198175382","https://openalex.org/W3204262622","https://openalex.org/W3206846540","https://openalex.org/W4214755140","https://openalex.org/W4226082415","https://openalex.org/W4242710771","https://openalex.org/W4288623616","https://openalex.org/W4293094783","https://openalex.org/W4312235843","https://openalex.org/W4312379726","https://openalex.org/W4313127740","https://openalex.org/W4313156423"],"related_works":["https://openalex.org/W4323041403","https://openalex.org/W4210985407","https://openalex.org/W312558119","https://openalex.org/W2335441444","https://openalex.org/W2075598034","https://openalex.org/W2038693912","https://openalex.org/W1991602789","https://openalex.org/W1829869244","https://openalex.org/W1582396021","https://openalex.org/W138014004"],"abstract_inverted_index":{"Point":[0],"cloud":[1,55,86,143,156],"recognition":[2,56,87,111],"has":[3],"recently":[4],"gained":[5],"increasing":[6],"research":[7],"interest":[8],"due":[9,35],"to":[10,36,47,60,107,126,160,180],"the":[11,24,37,52,69,109,114,128,188,200],"huge":[12],"potential":[13],"in":[14,39,140],"real-world":[15],"applications":[16],"such":[17],"as":[18,68],"autonomous":[19],"driving,":[20],"robotics,":[21],"etc.":[22],"However,":[23],"point":[25,54,85,102,122,132,142,178],"clouds":[26,133,179],"of":[27,101,113,131,175],"similar":[28],"objects":[29],"often":[30],"exhibit":[31],"notable":[32],"geometric":[33,146],"variations":[34],"difference":[38],"capturing":[40],"devices":[41],"or":[42],"environmental":[43],"changes.":[44],"This":[45],"leads":[46],"significant":[48],"performance":[49],"degradation":[50],"when":[51],"learned":[53,189],"model":[57],"is":[58,65],"applied":[59],"a":[61,78,97,119,166,173],"new":[62,79,210],"scenario,":[63],"which":[64],"also":[66],"known":[67],"domain":[70,81,89,120,154,195],"adaptation":[71,82],"issue.":[72],"In":[73,93],"this":[74],"work,":[75],"we":[76,95,117,149,171],"propose":[77,96,118,151],"unsupervised":[80],"approach":[83,198],"for":[84],"via":[88],"adaptive":[90,121,155,196],"sampling":[91,99,123,157,197],"(DAS).":[92],"particular,":[94],"two-level":[98],"strategy":[100,125,159],"level":[103,106],"and":[104,204],"instance":[105],"improve":[108],"cross-domain":[110],"ability":[112],"model.":[115],"First,":[116],"(DAPS)":[124],"enhance":[127],"domain-invariant":[129,190],"representation":[130],"by":[134],"progressively":[135],"focusing":[136],"on":[137,145,165,199],"representative":[138],"points":[139],"each":[141],"based":[144,164],"consistency.":[147],"Then,":[148],"further":[150],"an":[152],"instance-level":[153],"(DACS)":[158],"learn":[161],"target-specific":[162],"information":[163],"self-paced":[167],"learning":[168],"paradigm,":[169],"where":[170,206],"select":[172],"set":[174],"pseudo-labeled":[176],"target":[177],"train":[181],"our":[182,194,207],"designed":[183],"light-weighted":[184],"adapters":[185],"without":[186],"modifying":[187],"representation.":[191],"We":[192],"validate":[193],"benchmark":[201],"datasets":[202],"PointDA-10":[203],"GraspNetPC-10,":[205],"method":[208],"achieves":[209],"state-of-the-art":[211],"performance.":[212]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4376607943","counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6}],"updated_date":"2025-04-25T21:47:07.036922","created_date":"2023-05-17"}