{"id":"https://openalex.org/W4411725895","doi":"https://doi.org/10.1109/iscas56072.2025.11043807","title":"Structured Sparsity Learning for Efficient Learned Image Compression","display_name":"Structured Sparsity Learning for Efficient Learned Image Compression","publication_year":2025,"publication_date":"2025-05-25","ids":{"openalex":"https://openalex.org/W4411725895","doi":"https://doi.org/10.1109/iscas56072.2025.11043807"},"language":"en","primary_location":{"id":"doi:10.1109/iscas56072.2025.11043807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11043807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-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/A5100591510","display_name":"Wen Tan","orcid":"https://orcid.org/0000-0001-8560-7554"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Tan","raw_affiliation_strings":["Harbin Institute of Technology,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Shenzhen,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087556686","display_name":"Youneng Bao","orcid":"https://orcid.org/0000-0003-3781-6938"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youneng Bao","raw_affiliation_strings":["Harbin Institute of Technology,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Shenzhen,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038040039","display_name":"Fanyang Meng","orcid":"https://orcid.org/0000-0001-5725-2178"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanyang Meng","raw_affiliation_strings":["Peng Cheng Laboratory,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory,China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073718691","display_name":"Chao Li","orcid":"https://orcid.org/0009-0007-3639-4223"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Li","raw_affiliation_strings":["Harbin Institute of Technology,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Shenzhen,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lihan Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihan Zhu","raw_affiliation_strings":["Harbin Institute of Technology,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Shenzhen,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100657559","display_name":"Yongsheng Liang","orcid":"https://orcid.org/0000-0002-0891-5577"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongsheng Liang","raw_affiliation_strings":["Harbin Institute of Technology,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Shenzhen,China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"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":0.11247026,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9969000220298767,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9969000220298767,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9670000076293945,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9610999822616577,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7257065176963806},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.6159220337867737},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5522114634513855},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4995856285095215},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.47203078866004944},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4586711823940277},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.45297306776046753},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.28165292739868164},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.08015349507331848}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7257065176963806},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6159220337867737},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5522114634513855},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4995856285095215},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.47203078866004944},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4586711823940277},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.45297306776046753},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28165292739868164},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.08015349507331848},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas56072.2025.11043807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11043807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2140196014","https://openalex.org/W2998543159","https://openalex.org/W3015639993","https://openalex.org/W3034469748","https://openalex.org/W3091266734","https://openalex.org/W3202918664","https://openalex.org/W4221148507","https://openalex.org/W4224916569","https://openalex.org/W4283320592","https://openalex.org/W4283805579","https://openalex.org/W4312653295","https://openalex.org/W4312806968","https://openalex.org/W4312949231","https://openalex.org/W4372271371"],"related_works":["https://openalex.org/W2521595930","https://openalex.org/W4243608781","https://openalex.org/W3165542721","https://openalex.org/W4313046148","https://openalex.org/W1939109514","https://openalex.org/W4378191574","https://openalex.org/W2129829718","https://openalex.org/W1843792225","https://openalex.org/W2751842002","https://openalex.org/W2161981399"],"abstract_inverted_index":{"Existing":[0],"learned":[1],"image":[2,87],"compression":[3,42,88],"(LIC)":[4],"methods":[5],"have":[6],"achieved":[7],"outstanding":[8],"performance,":[9],"but":[10],"their":[11],"deployment":[12],"on":[13],"resource-constrained":[14],"devices":[15],"is":[16,47],"hindered":[17],"by":[18,34,43,55,150],"the":[19,83,103,115,130,156],"high":[20],"computational":[21],"complexity":[22],"and":[23,38,60,66,97,109,134],"large":[24],"model":[25,41,107,144],"storage.":[26],"Sparsity":[27],"learning":[28,59],"can":[29,145],"obtain":[30],"sparse":[31],"neural":[32],"networks":[33],"applying":[35,57],"regularization":[36,81,127],"term":[37],"further":[39,101],"achieve":[40,50,114],"pruning.":[44,122],"However,":[45],"it":[46],"difficult":[48],"to":[49,63,76,113,128],"a":[51],"lightweight":[52,143],"LIC":[53],"network":[54,84,133,148],"directly":[56],"sparsity":[58,65,93,131],"pruning":[61],"due":[62],"unstructured":[64],"limitations":[67],"of":[68,105,117,132,153,158],"entropy":[69,106,118],"model.":[70,166],"In":[71],"this":[72],"paper,":[73],"we":[74,124],"propose":[75],"add":[77],"L<inf":[78],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[79],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2,1</inf>":[80],"during":[82],"training":[85,135],"for":[86,120],"task,":[89],"which":[90],"generates":[91],"structured":[92],"at":[94,155],"both":[95],"filter":[96],"channel":[98],"level.":[99],"We":[100],"analyze":[102],"effect":[104],"capacity,":[108],"adopt":[110],"filter/channel":[111],"fixing":[112],"alignment":[116],"estimation":[119],"actual":[121],"Moreover,":[123],"utilize":[125],"incremental":[126],"improve":[129],"stability.":[136],"Experimental":[137],"results":[138],"show":[139],"that":[140],"our":[141],"pruned":[142],"effectively":[146],"reduce":[147],"parameters":[149],"an":[151],"average":[152],"59.73%":[154],"cost":[157],"1.57%":[159],"BD-rate":[160],"increase":[161],"compared":[162],"with":[163],"original":[164],"hyperprior":[165]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}