{"id":"https://openalex.org/W4386075717","doi":"https://doi.org/10.1109/cvpr52729.2023.02137","title":"Learning to Exploit the Sequence-Specific Prior Knowledge for Image Processing Pipelines Optimization","display_name":"Learning to Exploit the Sequence-Specific Prior Knowledge for Image Processing Pipelines Optimization","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4386075717","doi":"https://doi.org/10.1109/cvpr52729.2023.02137"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52729.2023.02137","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cvpr52729.2023.02137","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5074955635","display_name":"Haina Qin","orcid":"https://orcid.org/0009-0007-9477-2296"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haina Qin","raw_affiliation_strings":["State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences","School of Artificial Intelligence, University of Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030947378","display_name":"Longfei Han","orcid":"https://orcid.org/0000-0003-2135-6228"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longfei Han","raw_affiliation_strings":["Beijing Technology and Business University"],"affiliations":[{"raw_affiliation_string":"Beijing Technology and Business University","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100906938","display_name":"Weihua Xiong","orcid":"https://orcid.org/0009-0003-8192-8803"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihua Xiong","raw_affiliation_strings":["State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100668004","display_name":"Juan Wang","orcid":"https://orcid.org/0000-0002-3848-9433"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Wang","raw_affiliation_strings":["State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055609549","display_name":"Wentao Ma","orcid":"https://orcid.org/0000-0001-7294-7939"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wentao Ma","raw_affiliation_strings":["Zeku Technology,Shanghai","Zeku Technology, Shanghai"],"affiliations":[{"raw_affiliation_string":"Zeku Technology,Shanghai","institution_ids":["https://openalex.org/I148128674"]},{"raw_affiliation_string":"Zeku Technology, Shanghai","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109346446","display_name":"Bing Li","orcid":"https://orcid.org/0000-0002-5888-6735"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Li","raw_affiliation_strings":["State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114549594","display_name":"Weiming Hu","orcid":"https://orcid.org/0000-0001-9237-8825"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Hu","raw_affiliation_strings":["State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences","School of Artificial Intelligence, University of Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5074955635"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.3576,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59411987,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"22314","last_page":"22323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991000294685364,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/hyperparameter","display_name":"Hyperparameter","score":0.897141695022583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7520109415054321},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6640501022338867},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5991324186325073},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5714662671089172},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4502718150615692},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"Hyperparameter optimization","score":0.44015175104141235},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4372013211250305},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43482711911201477},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42551618814468384},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3846534490585327},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.32487136125564575},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2824797034263611},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.1832924783229828},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.17323601245880127},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.08757206797599792}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.897141695022583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7520109415054321},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6640501022338867},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5991324186325073},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5714662671089172},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4502718150615692},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.44015175104141235},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4372013211250305},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43482711911201477},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42551618814468384},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3846534490585327},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.32487136125564575},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2824797034263611},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.1832924783229828},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.17323601245880127},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.08757206797599792},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52729.2023.02137","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cvpr52729.2023.02137","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G2326706895","display_name":null,"funder_award_id":"2020AAA0106800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1987931295","https://openalex.org/W2106411961","https://openalex.org/W2127701282","https://openalex.org/W2138537392","https://openalex.org/W2150871663","https://openalex.org/W2194775991","https://openalex.org/W2540495167","https://openalex.org/W2615178951","https://openalex.org/W2793701680","https://openalex.org/W2799265886","https://openalex.org/W2892087962","https://openalex.org/W2952046917","https://openalex.org/W2952122856","https://openalex.org/W2962360676","https://openalex.org/W2963150697","https://openalex.org/W2964081807","https://openalex.org/W2975505153","https://openalex.org/W2983283312","https://openalex.org/W3034504121","https://openalex.org/W3035381835","https://openalex.org/W3035635957","https://openalex.org/W3092409103","https://openalex.org/W3092504069","https://openalex.org/W3098639991","https://openalex.org/W3174621777","https://openalex.org/W3176380844","https://openalex.org/W3184597591","https://openalex.org/W3185628130","https://openalex.org/W3199451736","https://openalex.org/W4247924304","https://openalex.org/W4293584584","https://openalex.org/W4312992502","https://openalex.org/W4385482667","https://openalex.org/W6603190504","https://openalex.org/W6605098596","https://openalex.org/W6676179485","https://openalex.org/W6677088747","https://openalex.org/W6750227808"],"related_works":["https://openalex.org/W2953665647","https://openalex.org/W4281646320","https://openalex.org/W4205712847","https://openalex.org/W3169687406","https://openalex.org/W1974336862","https://openalex.org/W4388119537","https://openalex.org/W3014750173","https://openalex.org/W3114025147","https://openalex.org/W4287818966","https://openalex.org/W3192751261"],"abstract_inverted_index":{"The":[0,27,66],"hardware":[1],"image":[2,77,164,167],"signal":[3,22],"processing":[4,19,38,41],"(ISP)":[5],"pipeline":[6],"is":[7,29],"the":[8,12,16,20,63,104,121,139,146,152,158],"intermediate":[9],"layer":[10],"between":[11],"imaging":[13],"sensor":[14,21],"and":[15,32,46,72,114,145,166],"downstream":[17,91],"application,":[18],"into":[23,95],"an":[24],"RGB":[25],"image.":[26],"ISP":[28,64,86,101,133,143],"less":[30],"programmable":[31],"consists":[33],"of":[34,37,50,56,124],"a":[35,44,48,59,109,131],"series":[36],"modules.":[39],"Each":[40],"module":[42],"handles":[43],"subtask":[45],"contains":[47],"set":[49],"tunable":[51],"hyperparameters.":[52],"A":[53],"large":[54],"number":[55],"hyperparameters":[57],"form":[58],"complex":[60],"mapping":[61],"with":[62],"output.":[65],"industry":[67],"typically":[68],"relies":[69],"on":[70,161],"manual":[71],"time-consuming":[73],"hyperparameter":[74,87,134],"tuning":[75,102],"by":[76],"experts,":[78],"biased":[79],"towards":[80],"human":[81],"perception.":[82],"Recently,":[83],"several":[84],"automatic":[85],"optimization":[88,113],"methods":[89,99],"using":[90],"evaluation":[92],"metrics":[93],"come":[94],"sight.":[96],"However,":[97],"existing":[98],"for":[100,112],"treat":[103],"high-dimensional":[105],"parameter":[106],"space":[107,111],"as":[108],"global":[110],"prediction":[115,135],"all":[116],"at":[117],"once":[118],"without":[119],"inducing":[120],"structure":[122],"knowledge":[123],"ISP.":[125],"To":[126],"this":[127],"end,":[128],"we":[129],"propose":[130],"sequential":[132,140],"framework":[136],"that":[137],"utilizes":[138],"relationship":[141],"within":[142],"modules":[144],"similarity":[147],"among":[148],"parameters":[149],"to":[150],"guide":[151],"model":[153],"sequence":[154],"process.":[155],"We":[156],"validate":[157],"proposed":[159],"method":[160],"object":[162],"detection,":[163],"segmentation,":[165],"quality":[168],"tasks.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
