{"id":"https://openalex.org/W4414197961","doi":"https://doi.org/10.1109/dac63849.2025.11132763","title":"MAS-ISP: A Proxy-Free Online Hyperparameter Optimization Framework for ISP Hardware System","display_name":"MAS-ISP: A Proxy-Free Online Hyperparameter Optimization Framework for ISP Hardware System","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W4414197961","doi":"https://doi.org/10.1109/dac63849.2025.11132763"},"language":"en","primary_location":{"id":"doi:10.1109/dac63849.2025.11132763","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac63849.2025.11132763","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 62nd ACM/IEEE Design Automation Conference (DAC)","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/A5100440966","display_name":"Jiaming Liu","orcid":"https://orcid.org/0000-0001-9629-9788"},"institutions":[{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiaming Liu","raw_affiliation_strings":["Fudan University,State Key Laboratory of Integrated Chips and Systems, School of Microelectronics"],"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of Integrated Chips and Systems, School of Microelectronics","institution_ids":["https://openalex.org/I4210132426"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104095613","display_name":"Xuan Huang","orcid":"https://orcid.org/0000-0002-6635-8297"},"institutions":[{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Huang","raw_affiliation_strings":["Fudan University,State Key Laboratory of Integrated Chips and Systems, School of Microelectronics"],"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of Integrated Chips and Systems, School of Microelectronics","institution_ids":["https://openalex.org/I4210132426"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044357493","display_name":"Zhijian Hao","orcid":"https://orcid.org/0000-0002-7892-5973"},"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":"Zhijian Hao","raw_affiliation_strings":["Xidian University,State Key Discipline Laboratory of Wide Band-Gap Semiconductor Technology, School of Microelectronics"],"affiliations":[{"raw_affiliation_string":"Xidian University,State Key Discipline Laboratory of Wide Band-Gap Semiconductor Technology, School of Microelectronics","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101233722","display_name":"Ruoxi Zhu","orcid":"https://orcid.org/0009-0004-2017-6705"},"institutions":[{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruoxi Zhu","raw_affiliation_strings":["Fudan University,State Key Laboratory of Integrated Chips and Systems, School of Microelectronics"],"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of Integrated Chips and Systems, School of Microelectronics","institution_ids":["https://openalex.org/I4210132426"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089222298","display_name":"Qi Zheng","orcid":"https://orcid.org/0000-0002-9340-6709"},"institutions":[{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Zheng","raw_affiliation_strings":["Fudan University,State Key Laboratory of Integrated Chips and Systems, School of Microelectronics"],"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of Integrated Chips and Systems, School of Microelectronics","institution_ids":["https://openalex.org/I4210132426"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056873506","display_name":"Shuocheng Wang","orcid":"https://orcid.org/0000-0002-2362-3003"},"institutions":[{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuocheng Wang","raw_affiliation_strings":["Fudan University,State Key Laboratory of Integrated Chips and Systems, School of Microelectronics"],"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of Integrated Chips and Systems, School of Microelectronics","institution_ids":["https://openalex.org/I4210132426"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103124960","display_name":"Shushi Chen","orcid":"https://orcid.org/0009-0000-2992-1629"},"institutions":[{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shushi Chen","raw_affiliation_strings":["Fudan University,State Key Laboratory of Integrated Chips and Systems, School of Microelectronics"],"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of Integrated Chips and Systems, School of Microelectronics","institution_ids":["https://openalex.org/I4210132426"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102644119","display_name":"Chang Liu","orcid":"https://orcid.org/0000-0002-1897-8862"},"institutions":[{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Liu","raw_affiliation_strings":["Fudan University,State Key Laboratory of Integrated Chips and Systems, School of Microelectronics"],"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of Integrated Chips and Systems, School of Microelectronics","institution_ids":["https://openalex.org/I4210132426"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114859891","display_name":"Leilei Huang","orcid":"https://orcid.org/0009-0009-7342-5230"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leilei Huang","raw_affiliation_strings":["The Institute of Microelectronic Circuits and Systems, East China Normal University"],"affiliations":[{"raw_affiliation_string":"The Institute of Microelectronic Circuits and Systems, East China Normal University","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062927280","display_name":"Jun Tao","orcid":"https://orcid.org/0000-0001-8742-687X"},"institutions":[{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Tao","raw_affiliation_strings":["Fudan University,State Key Laboratory of Integrated Chips and Systems, School of Microelectronics"],"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of Integrated Chips and Systems, School of Microelectronics","institution_ids":["https://openalex.org/I4210132426"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085004179","display_name":"Yibo Fan","orcid":"https://orcid.org/0000-0003-2523-8261"},"institutions":[{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yibo Fan","raw_affiliation_strings":["Fudan University,State Key Laboratory of Integrated Chips and Systems, School of Microelectronics"],"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of Integrated Chips and Systems, School of Microelectronics","institution_ids":["https://openalex.org/I4210132426"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5100440966"],"corresponding_institution_ids":["https://openalex.org/I4210132426"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25924778,"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":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9804999828338623,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9804999828338623,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.972100019454956,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.9476000070571899,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/hyperparameter","display_name":"Hyperparameter","score":0.7800999879837036},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5486999750137329},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5112000107765198},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"Hyperparameter optimization","score":0.49390000104904175},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4300000071525574},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4291999936103821},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4065999984741211},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.38920000195503235},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.38420000672340393}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.7800999879837036},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7160000205039978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5918999910354614},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5486999750137329},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.513700008392334},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5112000107765198},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.49390000104904175},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4300000071525574},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4291999936103821},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4065999984741211},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.38920000195503235},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.38420000672340393},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.3357999920845032},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.3328000009059906},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.323199987411499},{"id":"https://openalex.org/C2776221188","wikidata":"https://www.wikidata.org/wiki/Q21072556","display_name":"Design space exploration","level":2,"score":0.321399986743927},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.3179999887943268},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.304500013589859},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.30000001192092896},{"id":"https://openalex.org/C34972735","wikidata":"https://www.wikidata.org/wiki/Q2920267","display_name":"Engineering design process","level":2,"score":0.290800005197525},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.28769999742507935},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.27970001101493835},{"id":"https://openalex.org/C48262172","wikidata":"https://www.wikidata.org/wiki/Q16908765","display_name":"Design process","level":3,"score":0.27880001068115234},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2757999897003174},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.2709999978542328},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.26660001277923584},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2590000033378601}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dac63849.2025.11132763","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac63849.2025.11132763","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 62nd ACM/IEEE Design Automation Conference (DAC)","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":27,"referenced_works":["https://openalex.org/W2138694496","https://openalex.org/W2962360676","https://openalex.org/W3035564946","https://openalex.org/W3035635957","https://openalex.org/W3121915008","https://openalex.org/W3174621777","https://openalex.org/W3199451736","https://openalex.org/W3212723535","https://openalex.org/W4285033365","https://openalex.org/W4292794005","https://openalex.org/W4293022963","https://openalex.org/W4297097693","https://openalex.org/W4313006148","https://openalex.org/W4389934540","https://openalex.org/W4392903224","https://openalex.org/W4393147979","https://openalex.org/W4393148635","https://openalex.org/W4402716047","https://openalex.org/W4404133379","https://openalex.org/W4404133755","https://openalex.org/W4404133841","https://openalex.org/W4404133948","https://openalex.org/W4404133961","https://openalex.org/W4404408532","https://openalex.org/W4405710094","https://openalex.org/W4407937122","https://openalex.org/W4408354630"],"related_works":[],"abstract_inverted_index":{"The":[0],"rapid":[1,116],"advancement":[2],"of":[3,15],"visual":[4,31,131,164],"autonomous":[5,9,59,62],"systems,":[6],"especially":[7],"in":[8,151],"driving,":[10],"underscores":[11],"the":[12,46,101,128],"critical":[13],"role":[14],"Image":[16],"Signal":[17],"Processors":[18],"(ISPs)":[19],"as":[20,138],"they":[21],"convert":[22],"RAW":[23],"sensor":[24],"data":[25],"into":[26],"RGB":[27],"images":[28],"suited":[29],"for":[30,57],"interpretation.":[32],"Traditional":[33],"ISPs":[34],"rely":[35,67],"on":[36,69,95,157],"tuning":[37,52],"hyperparameters":[38],"to":[39,41,80],"adapt":[40],"varying":[42],"imaging":[43],"conditions;":[44],"however,":[45],"vast":[47],"parameter":[48,119],"space":[49],"and":[50,78,117,142,162],"intricate":[51],"process":[53],"pose":[54],"significant":[55],"challenges":[56],"realtime":[58],"applications.":[60],"Existing":[61],"ISP":[63,90],"hyperparameter":[64,91],"optimization":[65,92,105,120],"methods":[66],"largely":[68],"offline":[70],"or":[71],"proxybased":[72],"online":[73,89],"tuning,":[74],"limiting":[75],"their":[76],"accuracy":[77],"responsiveness":[79],"real-time":[81,104,161],"environmental":[82],"changes.":[83],"In":[84],"response,":[85],"we":[86,126],"propose":[87],"an":[88],"framework":[93],"based":[94],"Deep":[96],"Reinforcement":[97],"Learning":[98],"(DRL),":[99],"marking":[100],"first":[102],"proxyfree,":[103],"approach.":[106],"Our":[107],"design":[108,127],"exhibits":[109],"a":[110],"master-slave":[111],"Multi-Agent":[112],"System":[113],"(MAS),":[114],"enabling":[115],"cooperative":[118],"with":[121],"improved":[122],"inter-frame":[123],"consistency.":[124],"Furthermore,":[125],"MAS-ISP":[129,154],"automated":[130],"system,":[132],"incorporating":[133],"innovative":[134],"hardware":[135],"designs":[136],"such":[137],"Strip":[139],"Convolution":[140],"Kernel":[141],"Stride-Aware":[143],"Dual-Buffer":[144],"Memory,":[145],"which":[146],"drastically":[147],"reduce":[148],"resource":[149],"consumption":[150],"CNN":[152],"hardware.":[153],"achieves":[155],"1080P@75FPS/240FPS":[156],"FPGA/ASIC":[158],"platforms,":[159],"supporting":[160],"reliable":[163],"systems.":[165]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}