{"id":"https://openalex.org/W7118186376","doi":"https://doi.org/10.26599/cvm.2025.9450425","title":"BoostPoint: Boosting Point Cloud Backbones with Image Pre-Training for 3D Understanding","display_name":"BoostPoint: Boosting Point Cloud Backbones with Image Pre-Training for 3D Understanding","publication_year":2026,"publication_date":"2026-01-05","ids":{"openalex":"https://openalex.org/W7118186376","doi":"https://doi.org/10.26599/cvm.2025.9450425"},"language":"en","primary_location":{"id":"doi:10.26599/cvm.2025.9450425","is_oa":true,"landing_page_url":"https://doi.org/10.26599/cvm.2025.9450425","pdf_url":null,"source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["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":"Computational Visual Media","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.26599/cvm.2025.9450425","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016452557","display_name":"Honggu Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honggu Zhou","raw_affiliation_strings":["School of Digital Media Technology, Hangzhou Dianzi University,Hangzhou,China,310018"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Digital Media Technology, Hangzhou Dianzi University,Hangzhou,China,310018","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040809339","display_name":"Y Victoria Zhang","orcid":"https://orcid.org/0009-0006-3503-7593"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yakai Zhang","raw_affiliation_strings":["School of Digital Media Technology, Hangzhou Dianzi University,Hangzhou,China,310018"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Digital Media Technology, Hangzhou Dianzi University,Hangzhou,China,310018","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060134713","display_name":"Haohan Li","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haohan Li","raw_affiliation_strings":["School of Digital Media Technology, Hangzhou Dianzi University,Hangzhou,China,310018"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Digital Media Technology, Hangzhou Dianzi University,Hangzhou,China,310018","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022971426","display_name":"Xiaoling Gu","orcid":"https://orcid.org/0000-0002-2876-1771"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoling Gu","raw_affiliation_strings":["School of Computer Science, Hangzhou Dianzi University,Hangzhou,China,310018"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hangzhou Dianzi University,Hangzhou,China,310018","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100447274","display_name":"Ming Zeng","orcid":"https://orcid.org/0000-0002-5056-0706"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Zeng","raw_affiliation_strings":["School of Informatics, Xiamen University,Xiamen,China,361005"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University,Xiamen,China,361005","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121969426","display_name":"Zizhao Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zizhao Wu","raw_affiliation_strings":["School of Digital Media Technology, Hangzhou Dianzi University,Hangzhou,China,310018"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Digital Media Technology, Hangzhou Dianzi University,Hangzhou,China,310018","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0373164,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"1","first_page":"141","last_page":"158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.6215999722480774,"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"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.6215999722480774,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.05869999900460243,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.042399998754262924,"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":0.8522999882698059},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.7258999943733215},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5927000045776367},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5591999888420105},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.527999997138977},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5121999979019165},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4627000093460083},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.3871999979019165}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8522999882698059},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8367000222206116},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7258999943733215},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5927000045776367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5710999965667725},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5591999888420105},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.527999997138977},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5121999979019165},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5054000020027161},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4627000093460083},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.3871999979019165},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3646000027656555},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35429999232292175},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.3325999975204468},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.3125},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3025999963283539},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2962000072002411},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2953999936580658},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2847000062465668},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.272599995136261},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.2712000012397766},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2702000141143799},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.2669000029563904},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.262800008058548},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26080000400543213},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.25839999318122864}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.26599/cvm.2025.9450425","is_oa":true,"landing_page_url":"https://doi.org/10.26599/cvm.2025.9450425","pdf_url":null,"source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["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":"Computational Visual Media","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:20ac1cf580354c2a9f3db6ecdb880fd6","is_oa":true,"landing_page_url":"https://doaj.org/article/20ac1cf580354c2a9f3db6ecdb880fd6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Visual Media, Vol 12, Iss 1, Pp 141-158 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.26599/cvm.2025.9450425","is_oa":true,"landing_page_url":"https://doi.org/10.26599/cvm.2025.9450425","pdf_url":null,"source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["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":"Computational Visual Media","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6251415610313416,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G6320710235","display_name":null,"funder_award_id":"62471168","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1644641054","https://openalex.org/W1920022804","https://openalex.org/W2115403315","https://openalex.org/W2155904486","https://openalex.org/W2214409633","https://openalex.org/W2560609797","https://openalex.org/W2734516093","https://openalex.org/W2799162093","https://openalex.org/W2963231572","https://openalex.org/W2963509914","https://openalex.org/W2979750740","https://openalex.org/W2981440248","https://openalex.org/W2990613095","https://openalex.org/W3034239841","https://openalex.org/W3041133507","https://openalex.org/W3109646990","https://openalex.org/W3111535274","https://openalex.org/W3157424380","https://openalex.org/W3172507977","https://openalex.org/W3174510152","https://openalex.org/W3176802407","https://openalex.org/W3177224328","https://openalex.org/W3197097949","https://openalex.org/W3202611145","https://openalex.org/W4200631318","https://openalex.org/W4214755140","https://openalex.org/W4311404181","https://openalex.org/W4312270234","https://openalex.org/W4312317653","https://openalex.org/W4312367717","https://openalex.org/W4312788538","https://openalex.org/W4312980726","https://openalex.org/W4382468999","https://openalex.org/W4385768219","https://openalex.org/W4386075705","https://openalex.org/W4386076097","https://openalex.org/W4386083140","https://openalex.org/W4386702739","https://openalex.org/W4390874575","https://openalex.org/W4393147949","https://openalex.org/W4399563599"],"related_works":[],"abstract_inverted_index":{"Nowadays,":[0],"pre-training":[1,140],"models":[2,8],"on":[3,9],"largescale":[4],"datasets":[5,11],"and":[6,23,69,106,167],"fine-tuning":[7],"task-specific":[10],"have":[12],"become":[13],"common":[14],"paradigms,":[15],"achieving":[16],"impressive":[17],"success":[18],"in":[19,37,145],"natural":[20],"language":[21],"processing":[22],"2D":[24],"vision.":[25],"Nonetheless,":[26],"the":[27,42,45,117],"potential":[28],"of":[29,44],"this":[30],"paradigm":[31],"has":[32],"not":[33],"been":[34],"fully":[35],"explored":[36],"3D":[38,62,72,158,163],"vision":[39],"due":[40],"to":[41,86,141,157],"scale":[43],"datasets.":[46],"To":[47],"overcome":[48],"this,":[49],"we":[50,78,94,133],"propose":[51,79],"BoostPoint,":[52,77],"a":[53,80,135],"novel":[54,81],"pipeline":[55],"that":[56,152],"uses":[57,70],"large-scale":[58],"rendered":[59],"images":[60],"as":[61,97],"point":[63,128,159,164],"cloud":[64,129,160,165],"model":[65],"inputs":[66],"for":[67,74,162],"pretraining":[68],"general":[71],"tasks":[73],"fine-tuning.":[75],"In":[76],"learning-free":[82],"image-topoint":[83],"(I2P)":[84],"module":[85,119],"transform":[87],"raw":[88,102],"pixels":[89,96],"into":[90,125],"required":[91],"inputs.":[92],"Specifically,":[93],"view":[95],"unorganized":[98,123],"points,":[99],"including":[100],"essential":[101],"features":[103],"(e.g.,":[104,109],"color)":[105],"positional":[107],"information":[108],"coordinates).":[110],"Employing":[111],"simple":[112],"linear":[113],"iterative":[114],"clustering":[115],"(SLIC),":[116],"I2P":[118],"effectively":[120],"groups":[121],"these":[122],"points":[124],"superpixels,":[126],"facilitating":[127],"backbone":[130],"pretraining.":[131],"Furthermore,":[132],"employ":[134],"modality-agnostic":[136],"debiasing":[137],"mechanism":[138],"during":[139],"prevent":[142],"negative":[143],"transfer":[144],"downstream":[146],"tasks.":[147],"Extensive":[148],"finetuning":[149],"experiments":[150],"show":[151],"BoostPoint":[153],"provides":[154],"significant":[155],"improvements":[156],"backbones":[161],"classification":[166],"part":[168],"segmentation.":[169]},"counts_by_year":[],"updated_date":"2026-02-04T23:10:29.248076","created_date":"2026-01-05T00:00:00"}