{"id":"https://openalex.org/W7138008970","doi":"https://doi.org/10.1609/aaai.v40i13.38092","title":"Revealing the Invisible: Latent Structure Modeling for Semantically Consistent Cloud Removal","display_name":"Revealing the Invisible: Latent Structure Modeling for Semantically Consistent Cloud Removal","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138008970","doi":"https://doi.org/10.1609/aaai.v40i13.38092"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v40i13.38092","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i13.38092","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v40i13.38092","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004773195","display_name":"Jingwei Xin","orcid":"https://orcid.org/0000-0001-9551-6007"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingwei Xin","raw_affiliation_strings":["School of Communication Engineering, Xidian University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Xidian University","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129652932","display_name":"Kai Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Guo","raw_affiliation_strings":["School of Communication Engineering, Xidian University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Xidian University","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129741902","display_name":"Jie Li","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Li","raw_affiliation_strings":["School of Electronic Engineering, Xidian University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129733249","display_name":"Nannan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nannan Wang","raw_affiliation_strings":["School of Communication Engineering, Xidian University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Xidian University","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24153592,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"13","first_page":"11132","last_page":"11140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.14970000088214874,"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"}},"topics":[{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.14970000088214874,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.14499999582767487,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.12860000133514404,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/cloud-computing","display_name":"Cloud computing","score":0.6758000254631042},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5777999758720398},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5134999752044678},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4927000105381012},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4918000102043152},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4593000113964081},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.45579999685287476},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4339999854564667},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43070000410079956}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7350000143051147},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6758000254631042},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5777999758720398},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5134999752044678},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4927000105381012},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4918000102043152},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4697999954223633},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4593000113964081},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.45579999685287476},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4339999854564667},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43070000410079956},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4235999882221222},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4180999994277954},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.41019999980926514},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39160001277923584},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.3580999970436096},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.335099995136261},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3041999936103821},{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2881999909877777},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.27950000762939453},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.27250000834465027},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.2700999975204468},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.2687000036239624},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.26829999685287476},{"id":"https://openalex.org/C7545210","wikidata":"https://www.wikidata.org/wiki/Q838123","display_name":"Data redundancy","level":2,"score":0.26660001277923584},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.260699987411499}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v40i13.38092","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i13.38092","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/38092","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/38092","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i13.38092","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i13.38092","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-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":{"Cloud":[0],"removal":[1,63,152],"(CR)":[2],"in":[3,26,126],"remote":[4],"sensing":[5],"imagery":[6],"is":[7],"a":[8,54,69,109],"critical":[9],"yet":[10],"challenging":[11],"task":[12],"due":[13],"to":[14,40,85,96,136],"complex":[15],"cloud":[16,62,77,151],"patterns":[17],"and":[18,42,58,90,123,140,148],"diverse":[19],"underlying":[20],"ground":[21],"structures.":[22],"Despite":[23],"recent":[24],"progress":[25],"generative":[27],"models":[28,76,114],"such":[29],"as":[30,68],"diffusion":[31],"models,":[32],"CR":[33,67],"remains":[34],"limited":[35],"by":[36],"their":[37],"inadequate":[38],"capability":[39],"perceive":[41],"reconstruct":[43],"structured":[44],"information":[45],"beneath":[46],"cloud-covered":[47],"areas.":[48],"In":[49],"this":[50],"work,":[51],"we":[52,104],"propose":[53],"Visibility-guided":[55],"Semantic":[56],"Estimation":[57],"Reconstruction":[59],"network":[60,135],"for":[61],"(VISER-CR),":[64],"which":[65],"reformulates":[66],"structure-guided":[70],"completion":[71],"problem.":[72],"Specifically,":[73],"VISER-CR":[74],"explicitly":[75],"interference":[78],"via":[79],"spatial":[80],"masking,":[81],"encouraging":[82],"the":[83,99,127,134,161],"model":[84],"reason":[86],"beyond":[87],"pixel-level":[88],"appearance":[89],"enhance":[91],"scene-level":[92],"structural":[93,102,115],"understanding.":[94],"Moreover,":[95],"further":[97],"improve":[98],"representation":[100],"of":[101,164],"information,":[103],"introduce":[105],"Patch":[106],"Saliency":[107],"Encoding,":[108],"self-guided":[110],"mechanism":[111,132],"that":[112],"implicitly":[113],"alignment":[116],"among":[117],"patches,":[118],"significantly":[119],"enhancing":[120],"clustering":[121],"consistency":[122],"semantic":[124],"separability":[125],"latent":[128],"space.":[129],"This":[130],"adaptive":[131],"guides":[133],"focus":[137],"on":[138,156],"learning":[139],"reconstructing":[141],"structurally":[142],"important":[143],"regions,":[144],"thereby":[145],"reducing":[146],"redundancy":[147],"improving":[149],"overall":[150],"performance.":[153],"Extensive":[154],"experiments":[155],"multiple":[157],"benchmark":[158],"datasets":[159],"demonstrate":[160],"superior":[162],"effectiveness":[163],"our":[165],"method.":[166]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-03-18T00:00:00"}