{"id":"https://openalex.org/W4410737507","doi":"https://doi.org/10.1109/lsp.2025.3573664","title":"GURNet: A Gated U-Shaped Encoder-Decoder Predictor for Reversible Data Hiding","display_name":"GURNet: A Gated U-Shaped Encoder-Decoder Predictor for Reversible Data Hiding","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410737507","doi":"https://doi.org/10.1109/lsp.2025.3573664"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2025.3573664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3573664","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},"type":"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/A5070111961","display_name":"Shaowei Weng","orcid":"https://orcid.org/0000-0003-1037-7699"},"institutions":[{"id":"https://openalex.org/I165911609","display_name":"Changsha Medical University","ror":"https://ror.org/05dt7z971","country_code":"CN","type":"education","lineage":["https://openalex.org/I165911609"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shaowei Weng","raw_affiliation_strings":["School of Information Engineering, Changsha Medical University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-1037-7699","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Changsha Medical University, Changsha, China","institution_ids":["https://openalex.org/I165911609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084154221","display_name":"Haiyang Rao","orcid":"https://orcid.org/0009-0006-0378-4113"},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyang Rao","raw_affiliation_strings":["School of Electronic, Electrical Engineering and Physics, Fujian University of Technology, Fuzhou, China"],"raw_orcid":"https://orcid.org/0009-0006-0378-4113","affiliations":[{"raw_affiliation_string":"School of Electronic, Electrical Engineering and Physics, Fujian University of Technology, Fuzhou, China","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067543068","display_name":"Lifang Yu","orcid":"https://orcid.org/0000-0002-0508-7526"},"institutions":[{"id":"https://openalex.org/I165911609","display_name":"Changsha Medical University","ror":"https://ror.org/05dt7z971","country_code":"CN","type":"education","lineage":["https://openalex.org/I165911609"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lifang Yu","raw_affiliation_strings":["School of Information Engineering, Changsha Medical College, Changsha, China","School of Information Engineering, Changsha Medical University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0508-7526","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Changsha Medical College, Changsha, China","institution_ids":["https://openalex.org/I165911609"]},{"raw_affiliation_string":"School of Information Engineering, Changsha Medical University, Changsha, China","institution_ids":["https://openalex.org/I165911609"]}]},{"author_position":"last","author":{"id":null,"display_name":"Liwen Chen","orcid":"https://orcid.org/0009-0007-8375-1596"},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liwen Chen","raw_affiliation_strings":["School of Computer Science and Mathematics, Fujian University of Technology, Fuzhou, China"],"raw_orcid":"https://orcid.org/0009-0007-8375-1596","affiliations":[{"raw_affiliation_string":"School of Computer Science and Mathematics, Fujian University of Technology, Fuzhou, China","institution_ids":["https://openalex.org/I83791580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070111961"],"corresponding_institution_ids":["https://openalex.org/I165911609"],"apc_list":null,"apc_paid":null,"fwci":2.2665,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.88077876,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"32","issue":null,"first_page":"2294","last_page":"2298"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9998000264167786,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9998000264167786,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9937000274658203,"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9799000024795532,"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/encoder","display_name":"Encoder","score":0.6693582534790039},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6452757716178894},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.506313681602478},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4406960904598236},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.42233967781066895}],"concepts":[{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6693582534790039},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6452757716178894},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.506313681602478},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4406960904598236},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.42233967781066895},{"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":[{"id":"doi:10.1109/lsp.2025.3573664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3573664","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1570710652","https://openalex.org/W1974641035","https://openalex.org/W1987442454","https://openalex.org/W2035735873","https://openalex.org/W2039758953","https://openalex.org/W2056340285","https://openalex.org/W2066178754","https://openalex.org/W2078607543","https://openalex.org/W2106950225","https://openalex.org/W2112796928","https://openalex.org/W2117314358","https://openalex.org/W2121393355","https://openalex.org/W2131499030","https://openalex.org/W2135459805","https://openalex.org/W2137288380","https://openalex.org/W2140226570","https://openalex.org/W2144088652","https://openalex.org/W2152185406","https://openalex.org/W2167436768","https://openalex.org/W2344320947","https://openalex.org/W2403682575","https://openalex.org/W2594085527","https://openalex.org/W2883444874","https://openalex.org/W2973964793","https://openalex.org/W3130446996","https://openalex.org/W3161577134","https://openalex.org/W4210899420","https://openalex.org/W4311490042","https://openalex.org/W4312411442","https://openalex.org/W4386536140","https://openalex.org/W4401725215","https://openalex.org/W4402299717","https://openalex.org/W4402727675","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"The":[0],"existing":[1],"deep":[2,133],"learning":[3],"based":[4],"reversible":[5],"data":[6],"hiding":[7],"(RDH)":[8],"predictors":[9],"typically":[10],"adopt":[11],"standard":[12,121],"convolutions":[13,122],"for":[14,75,224],"extracting":[15],"features,":[16,199],"which":[17],"inherently":[18],"fails":[19],"to":[20,32,48,77,118,126,146,194,214,227,246],"capture":[21],"contextual":[22],"information":[23,161],"across":[24,163],"different":[25,105,124,176],"scales,":[26],"making":[27],"the":[28,35,71,79,92,120,128,150,160,170,201,229,262],"model":[29],"have":[30],"difficulty":[31],"fully":[33],"understand":[34],"image":[36],"content.":[37],"To":[38],"this":[39],"end,":[40],"a":[41,63,108,191,248],"gated":[42,72,109],"multi-scale":[43,56],"module":[44,114,183],"(GMM)":[45],"is":[46,116,185],"proposed":[47],"enrich":[49,147],"and":[50,69,85,112,134,148,158,165,220,237],"strengthen":[51],"feature":[52,110,181],"representations":[53,197],"by":[54,144],"collecting":[55],"features":[57,82,103,153,174,208],"with":[58,104,267],"less":[59],"computational":[60,156],"cost":[61,157],"using":[62],"set":[64],"of":[65,81,102,123,152,173,198,264],"parallel":[66],"depthwise":[67,140],"convolutions,":[68],"customizing":[70],"convolution":[73,142,193],"(GConv)":[74],"RDH":[76,250,269],"weight":[78],"importance":[80],"in":[83,241],"channel":[84,164],"spatial":[86,166],"dimensions.":[87],"Considering":[88],"that":[89],"directly":[90],"utilizing":[91],"addition":[93],"or":[94],"concatenation":[95],"operations":[96],"cannot":[97],"better":[98],"fuse":[99,204],"two":[100,205],"types":[101],"receptive":[106,129],"fields,":[107],"fusion":[111,171],"refinement":[113],"(GFFRM)":[115],"tailored":[117],"employ":[119],"sizes":[125],"shorten":[127],"field":[130],"differences":[131],"between":[132],"shallow":[135],"features.":[136,218],"GFFRM":[137,219,236],"also":[138],"constructs":[139,213],"separable":[141],"followed":[143],"GConv":[145],"refine":[149],"expression":[151],"at":[154,175],"low":[155],"enhance":[159,228],"exchange":[162],"dimensions,":[167],"thereby":[168],"improving":[169],"effect":[172],"levels.":[177],"A":[178],"two-path":[179],"multi-dimensional":[180],"interaction":[182],"(MFIM)":[184],"designed,":[186],"where":[187],"one":[188],"branch":[189,203],"utilizes":[190],"pointwise":[192],"obtain":[195],"low-dimensional":[196],"whereas":[200],"other":[202,226],"linearly":[206],"transformed":[207],"through":[209],"element-":[210],"wise":[211],"multiplication":[212],"generate":[215],"implicit":[216],"high-dimensional":[217],"MFIM":[221],"are":[222,239],"complementary":[223],"each":[225],"prediction":[230],"performance.":[231],"Three":[232],"modules,":[233],"namely":[234],"GMM,":[235],"MFIM,":[238],"embedded":[240],"U":[242],"-shaped":[243],"encoder-decoder":[244],"architecture":[245],"establish":[247],"novel":[249],"predictor":[251],"GURNet.":[252],"Extensive":[253],"experiments":[254],"implemented":[255],"on":[256],"four":[257],"publicly":[258],"available":[259],"datasets":[260],"demonstrate":[261],"superiority":[263],"GURNet,":[265],"compared":[266],"state-of-the-art":[268],"predictors.":[270]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}