{"id":"https://openalex.org/W7161680070","doi":"https://doi.org/10.48550/arxiv.2605.16967","title":"Expandable, Compressible, Mineable: Open-World Thermal Image Restoration","display_name":"Expandable, Compressible, Mineable: Open-World Thermal Image Restoration","publication_year":2026,"publication_date":"2026-05-16","ids":{"openalex":"https://openalex.org/W7161680070","doi":"https://doi.org/10.48550/arxiv.2605.16967"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.16967","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.16967","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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.16967","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136471741","display_name":"Pu Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Pu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136471669","display_name":"Huafeng Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Huafeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136500584","display_name":"Yafei Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yafei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136504476","display_name":"Wen Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Wen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136494790","display_name":"Neng Dong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong, Neng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136461372","display_name":"Jie Wen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wen, Jie","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":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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/T11019","display_name":"Image Enhancement Techniques","score":0.3544999957084656,"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":0.3544999957084656,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.13410000503063202,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.08879999816417694,"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/image-restoration","display_name":"Image restoration","score":0.6162999868392944},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5325000286102295},{"id":"https://openalex.org/keywords/thermal","display_name":"Thermal","score":0.45399999618530273},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4471000134944916},{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.4334999918937683},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4246000051498413},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.41530001163482666},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.35179999470710754}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6248999834060669},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.6162999868392944},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5325000286102295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4641000032424927},{"id":"https://openalex.org/C204530211","wikidata":"https://www.wikidata.org/wiki/Q752823","display_name":"Thermal","level":2,"score":0.45399999618530273},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4471000134944916},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.4334999918937683},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4246000051498413},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.41530001163482666},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.35179999470710754},{"id":"https://openalex.org/C2984335091","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Thermal infrared","level":3,"score":0.3443000018596649},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.335099995136261},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.33070001006126404},{"id":"https://openalex.org/C2988416141","wikidata":"https://www.wikidata.org/wiki/Q6031139","display_name":"Information loss","level":2,"score":0.32440000772476196},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3140999972820282},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.29980000853538513},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.28940001130104065},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C200873422","wikidata":"https://www.wikidata.org/wiki/Q5448821","display_name":"Filling-in","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C529754248","wikidata":"https://www.wikidata.org/wiki/Q1054772","display_name":"Data recovery","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C167981619","wikidata":"https://www.wikidata.org/wiki/Q1685498","display_name":"Cross entropy","level":3,"score":0.25270000100135803},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2524999976158142},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25220000743865967}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.16967","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.16967","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":"doi:10.48550/arxiv.2605.16967","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.16967","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.46539732813835144,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"open-world":[1,46],"settings,":[2],"thermal":[3],"infrared":[4],"(TIR)":[5],"image":[6],"degradations":[7,70,92,169],"continuously":[8],"emerge":[9],"and":[10,24,41,82,87,97,116,142,167,174],"evolve,":[11],"while":[12,170],"most":[13],"existing":[14],"all-in-one":[15],"restoration":[16,48,151],"methods":[17],"are":[18],"built":[19],"on":[20],"a":[21,50,134],"closed-set":[22],"assumption":[23],"struggle":[25],"to":[26,29,68,90,149],"continually":[27],"adapt":[28],"novel":[30],"degradations.":[31,154],"To":[32,102],"address":[33],"this,":[34],"we":[35,109,132],"propose":[36],"ECMRNet,":[37],"an":[38,61],"Expandable,":[39],"Compressible,":[40],"Mineable":[42],"Restoration":[43],"Network":[44],"for":[45],"TIR":[47],"from":[49,146],"continual":[51,57],"learning":[52,59],"perspective.":[53],"Conceptually,":[54],"ECMRNet":[55,75,159],"unifies":[56],"degradation":[58],"as":[60,106],"\"expand-compress-mine\"":[62],"closed-loop":[63],"process,":[64],"enabling":[65],"sustained":[66],"adaptation":[67,89],"new":[69,91,100],"with":[71],"controllable":[72],"evolution.":[73],"Structurally,":[74],"decomposes":[76],"intermediate":[77],"representations":[78,148],"into":[79],"group-isolated":[80],"subspaces,":[81],"achieves":[83,160],"strict":[84],"parameter":[85],"isolation":[86],"fast":[88],"by":[93],"freezing":[94],"historical":[95,147],"groups":[96,120],"isomorphically":[98],"expanding":[99],"ones.":[101],"curb":[103],"model":[104],"growth":[105],"tasks":[107],"accumulate,":[108],"present":[110],"Structural":[111],"Entropy":[112],"Pruning,":[113],"which":[114],"identifies":[115],"removes":[117],"redundant":[118],"channel":[119],"via":[121],"two-dimensional":[122],"structural":[123],"entropy":[124],"minimization,":[125],"achieving":[126],"information":[127],"contribution-driven":[128],"adaptive":[129],"compression.":[130],"Moreover,":[131],"design":[133],"Sub-degradation":[135],"Knowledge":[136],"Mining":[137],"Module":[138],"that":[139,158],"dynamically":[140],"retrieves":[141],"recombines":[143],"transferable":[144],"components":[145],"improve":[150],"under":[152],"compound":[153,168],"Experimental":[155],"results":[156],"demonstrate":[157],"superior":[161],"overall":[162],"performance":[163],"across":[164],"diverse":[165],"single":[166],"using":[171],"fewer":[172],"parameters":[173],"lower":[175],"computational":[176],"cost.":[177],"The":[178],"source":[179],"code":[180],"is":[181],"available":[182],"at":[183],"https://github.com/Kust-lp/ECMRNet.":[184]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-20T00:00:00"}
