{"id":"https://openalex.org/W4384947635","doi":"https://doi.org/10.1109/iscas46773.2023.10181937","title":"Edge-Aware Autoencoder Design for Real-Time Mixture-of-Experts Image Compression","display_name":"Edge-Aware Autoencoder Design for Real-Time Mixture-of-Experts Image Compression","publication_year":2023,"publication_date":"2023-05-21","ids":{"openalex":"https://openalex.org/W4384947635","doi":"https://doi.org/10.1109/iscas46773.2023.10181937"},"language":"en","primary_location":{"id":"doi:10.1109/iscas46773.2023.10181937","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas46773.2023.10181937","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5029958236","display_name":"Elvira Fleig","orcid":null},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Elvira Fleig","raw_affiliation_strings":["Technische Universität Berlin,Communication Systems Group,Berlin,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universität Berlin,Communication Systems Group,Berlin,Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033323137","display_name":"Jonas Geistert","orcid":null},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jonas Geistert","raw_affiliation_strings":["Technische Universität Berlin,Communication Systems Group,Berlin,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universität Berlin,Communication Systems Group,Berlin,Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020878973","display_name":"Erik Bochinski","orcid":null},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Erik Bochinski","raw_affiliation_strings":["Technische Universität Berlin,Communication Systems Group,Berlin,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universität Berlin,Communication Systems Group,Berlin,Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040698655","display_name":"Rolf Jongebloed","orcid":null},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rolf Jongebloed","raw_affiliation_strings":["Technische Universität Berlin,Communication Systems Group,Berlin,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universität Berlin,Communication Systems Group,Berlin,Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113970295","display_name":"Thomas Sikora","orcid":null},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Sikora","raw_affiliation_strings":["Technische Universität Berlin,Communication Systems Group,Berlin,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universität Berlin,Communication Systems Group,Berlin,Germany","institution_ids":["https://openalex.org/I4577782"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4577782"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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/T10688","display_name":"Image and Signal Denoising Methods","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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9994999766349792,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994000196456909,"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/autoencoder","display_name":"Autoencoder","score":0.8529376983642578},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7315499186515808},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6114028096199036},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5856814384460449},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5275570750236511},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5137306451797485},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5003719329833984},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43730974197387695},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4330596327781677},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.33289024233818054},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29543831944465637},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.1818276345729828}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8529376983642578},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7315499186515808},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6114028096199036},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5856814384460449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5275570750236511},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5137306451797485},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5003719329833984},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43730974197387695},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4330596327781677},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.33289024233818054},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29543831944465637},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.1818276345729828},{"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/iscas46773.2023.10181937","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas46773.2023.10181937","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2507536322","https://openalex.org/W2610463668","https://openalex.org/W2751111769","https://openalex.org/W2798309714","https://openalex.org/W2890126212","https://openalex.org/W2890711913","https://openalex.org/W2891212213","https://openalex.org/W2903487413","https://openalex.org/W2904849495","https://openalex.org/W2939278768","https://openalex.org/W2945734389","https://openalex.org/W2965252765","https://openalex.org/W3035302306","https://openalex.org/W4294567867","https://openalex.org/W4297801963","https://openalex.org/W6638670064","https://openalex.org/W6734035190","https://openalex.org/W6754669699","https://openalex.org/W6757140150"],"related_works":["https://openalex.org/W2090093270","https://openalex.org/W2337415362","https://openalex.org/W4312857205","https://openalex.org/W3172328353","https://openalex.org/W3093404388","https://openalex.org/W2120313082","https://openalex.org/W1569308748","https://openalex.org/W2548404937","https://openalex.org/W38355787","https://openalex.org/W2092668208"],"abstract_inverted_index":{"Steered-Mixtures-of-Experts":[0],"(SMoE)":[1],"models":[2,40],"provide":[3,42],"sparse,":[4],"edge-aware":[5,68],"representations,":[6],"applicable":[7],"to":[8,45,73,90,98,109,134,156],"many":[9],"use-cases":[10],"in":[11,95,123],"image":[12,30,139,143],"processing.":[13],"This":[14,82],"includes":[15],"denoising,":[16],"super-resolution":[17],"and":[18,22,152],"compression":[19,31,34,144],"of":[20,35,79,103,132],"2D-":[21],"higher":[23],"dimensional":[24],"pixel":[25,88],"data.":[26],"Recent":[27],"works":[28,100],"for":[29,93],"indicate":[32],"that":[33],"images":[36],"based":[37],"on":[38,101],"SMoE":[39,80,112],"can":[41],"competitive":[43],"performance":[44,124],"the":[46,49,54,75,110,145],"state-of-the-art.":[47],"Unfortunately,":[48],"iterative":[50,77],"model-building":[51],"process":[52],"at":[53],"encoder":[55,126,148],"comes":[56],"with":[57,125,136],"excessive":[58],"computational":[59],"demands.":[60],"In":[61],"this":[62],"paper":[63],"we":[64,119],"introduce":[65],"a":[66,121,130],"novel":[67],"Autoencoder":[69],"(AE)":[70],"strategy":[71],"designed":[72],"avoid":[74],"time-consuming":[76],"optimization":[78],"models.":[81],"is":[83],"done":[84],"by":[85,129],"directly":[86],"mapping":[87],"blocks":[89],"model":[91],"parameters":[92],"compression,":[94],"spirit":[96],"similar":[97],"recent":[99],"\u201cunfolding\u201d":[102],"algorithms,":[104],"while":[105],"maintaining":[106],"full":[107],"compatibility":[108],"established":[111],"framework.":[113],"With":[114],"our":[115,157],"plug-in":[116,146],"AE":[117,147],"encoder,":[118],"achieve":[120],"quantum-leap":[122],"run-time":[127],"savings":[128],"factor":[131],"500":[133],"1000":[135],"even":[137],"improved":[138],"reconstruction":[140],"quality.":[141],"For":[142],"has":[149],"real-time":[150],"properties":[151],"improves":[153],"RD-performance":[154],"compared":[155],"previous":[158],"works.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}