{"id":"https://openalex.org/W7133733274","doi":"https://doi.org/10.48550/arxiv.2603.03726","title":"QD-PCQA: Quality-Aware Domain Adaptation for Point Cloud Quality Assessment","display_name":"QD-PCQA: Quality-Aware Domain Adaptation for Point Cloud Quality Assessment","publication_year":2026,"publication_date":"2026-03-04","ids":{"openalex":"https://openalex.org/W7133733274","doi":"https://doi.org/10.48550/arxiv.2603.03726"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2603.03726","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128161215","display_name":"Guohua Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Guohua","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128185283","display_name":"Jian Jin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jin, Jian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127791406","display_name":"Meiqin Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Meiqin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128155467","display_name":"Chao Yao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yao, Chao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128207955","display_name":"Weisi Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Weisi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":0.27600705,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.5328999757766724,"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":0.5328999757766724,"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/T11448","display_name":"Face recognition and analysis","score":0.09830000251531601,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.09730000048875809,"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/feature","display_name":"Feature (linguistics)","score":0.6075000166893005},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6013000011444092},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5720999836921692},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5482000112533569},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5425000190734863},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5216000080108643},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.45410001277923584},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4481000006198883},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.43709999322891235}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6995000243186951},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6075000166893005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6050000190734863},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6013000011444092},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5720999836921692},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5482000112533569},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5425000190734863},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5275999903678894},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5216000080108643},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.45410001277923584},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4481000006198883},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.43709999322891235},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.41620001196861267},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.41200000047683716},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.38999998569488525},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36410000920295715},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.3357999920845032},{"id":"https://openalex.org/C22033958","wikidata":"https://www.wikidata.org/wiki/Q7167036","display_name":"Perceptual learning","level":3,"score":0.3303000032901764},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.3140000104904175},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.30709999799728394},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.29820001125335693},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.28110000491142273},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.26649999618530273},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.26510000228881836}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2603.03726","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2603.03726","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.03726","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2603.03726","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"No-Reference":[0],"Point":[1],"Cloud":[2],"Quality":[3],"Assessment":[4],"(NR-PCQA)":[5],"still":[6],"struggles":[7],"with":[8],"generalization,":[9],"primarily":[10],"due":[11],"to":[12,55,62,81,133,158],"the":[13,21],"scarcity":[14],"of":[15,31,75],"annotated":[16],"point":[17,45,64],"cloud":[18],"datasets.":[19],"Since":[20],"Human":[22],"Visual":[23],"System":[24],"(HVS)":[25],"drives":[26],"perceptual":[27,76,135,160],"quality":[28,37,82,126,136],"assessment":[29],"independently":[30],"media":[32],"types,":[33],"prior":[34],"knowledge":[35],"on":[36],"learned":[38],"from":[39,59],"images":[40,61],"can":[41],"be":[42],"repurposed":[43],"for":[44,104],"clouds.":[46,65],"This":[47],"insight":[48],"motivates":[49],"adopting":[50],"Unsupervised":[51],"Domain":[52,101],"Adaptation":[53],"(UDA)":[54],"transfer":[56],"quality-relevant":[57],"priors":[58],"labeled":[60],"unlabeled":[63],"However,":[66],"existing":[67],"UDA-based":[68],"PCQA":[69],"methods":[70],"often":[71],"overlook":[72],"key":[73],"characteristics":[74],"quality,":[77],"such":[78],"as":[79],"sensitivity":[80],"ranking":[83,137],"and":[84,128,139,154],"quality-aware":[85],"feature":[86,161],"alignment,":[87],"thereby":[88],"limiting":[89],"their":[90],"effectiveness.":[91],"To":[92],"address":[93],"these":[94],"issues,":[95],"we":[96],"propose":[97],"a":[98,115,141],"novel":[99],"Quality-aware":[100],"adaptation":[102],"framework":[103,109],"PCQA,":[105],"termed":[106],"QD-PCQA.":[107],"The":[108],"comprises":[110],"two":[111],"main":[112],"components:":[113],"i)":[114],"Rank-weighted":[116],"Conditional":[117],"Alignment":[118],"(RCA)":[119],"strategy":[120],"that":[121,167],"aligns":[122],"features":[123],"under":[124],"consistent":[125],"levels":[127],"adaptively":[129],"emphasizes":[130],"misranked":[131],"samples":[132],"reinforce":[134],"awareness;":[138],"ii)":[140],"Quality-guided":[142],"Feature":[143],"Augmentation":[144],"(QFA)":[145],"strategy,":[146],"which":[147],"includes":[148],"quality-guided":[149],"style":[150],"mixup,":[151],"multi-layer":[152],"extension,":[153],"dual-domain":[155],"augmentation":[156],"modules":[157],"augment":[159],"alignment.":[162],"Extensive":[163],"cross-domain":[164],"experiments":[165],"demonstrate":[166],"QD-PCQA":[168],"significantly":[169],"improves":[170],"generalization":[171],"in":[172],"NR-PCQA":[173],"tasks.":[174]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2026-03-06T00:00:00"}