{"id":"https://openalex.org/W3134316840","doi":"https://doi.org/10.1117/12.2580625","title":"Spectrally encoded machine vision using trainable materials","display_name":"Spectrally encoded machine vision using trainable materials","publication_year":2021,"publication_date":"2021-03-04","ids":{"openalex":"https://openalex.org/W3134316840","doi":"https://doi.org/10.1117/12.2580625","mag":"3134316840"},"language":"en","primary_location":{"id":"doi:10.1117/12.2580625","doi":"https://doi.org/10.1117/12.2580625","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2580625","pdf_url":null,"source":{"id":"https://openalex.org/S7407104741","display_name":"AI and Optical Data Sciences","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AI and Optical Data Sciences II","raw_type":"proceedings-article"},"volume":null,"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/A5083806375","display_name":"Jingxi Li","orcid":"https://orcid.org/0000-0001-6595-8680","observed_orcids":["https://orcid.org/0000-0001-6595-8680"]},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingxi Li","raw_affiliation_strings":["UCLA Samueli School of Engineering (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCLA Samueli School of Engineering (United States)","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089047677","display_name":"Deniz Meng\u00fc","orcid":"https://orcid.org/0000-0003-1051-1501","observed_orcids":["https://orcid.org/0000-0003-1051-1501"]},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deniz Mengu","raw_affiliation_strings":["UCLA Samueli School of Engineering (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCLA Samueli School of Engineering (United States)","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043009217","display_name":"Nezih Tolga Yardimci","orcid":"https://orcid.org/0000-0002-3623-5835","observed_orcids":["https://orcid.org/0000-0002-3623-5835"]},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nezih T. Yardimci","raw_affiliation_strings":["UCLA Samueli School of Engineering (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCLA Samueli School of Engineering (United States)","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058323543","display_name":"Xurong Li","orcid":"https://orcid.org/0000-0003-3770-723X","observed_orcids":["https://orcid.org/0000-0003-3770-723X"]},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xurong Li","raw_affiliation_strings":["UCLA Samueli School of Engineering (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCLA Samueli School of Engineering (United States)","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024359965","display_name":"Yi Ping Luo","orcid":"https://orcid.org/0000-0002-5488-4724","observed_orcids":["https://orcid.org/0000-0002-5488-4724"]},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Luo","raw_affiliation_strings":["UCLA Samueli School of Engineering (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCLA Samueli School of Engineering (United States)","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107809600","display_name":"Muhammed Veli","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Muhammed Veli","raw_affiliation_strings":["UCLA Samueli School of Engineering (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCLA Samueli School of Engineering (United States)","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058629781","display_name":"Yair Rivenson","orcid":"https://orcid.org/0000-0003-1132-0715","observed_orcids":["https://orcid.org/0000-0003-1132-0715"]},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yair Rivenson","raw_affiliation_strings":["UCLA Samueli School of Engineering (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCLA Samueli School of Engineering (United States)","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003547576","display_name":"Mona Jarrahi","orcid":"https://orcid.org/0000-0001-9514-555X","observed_orcids":["https://orcid.org/0000-0001-9514-555X"]},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mona Jarrahi","raw_affiliation_strings":["UCLA Samueli School of Engineering (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCLA Samueli School of Engineering (United States)","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016207990","display_name":"Aydogan \u00d6zcan","orcid":"https://orcid.org/0000-0002-0717-683X","observed_orcids":["https://orcid.org/0000-0002-0717-683X"]},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aydogan Ozcan","raw_affiliation_strings":["UCLA Samueli School of Engineering (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCLA Samueli School of Engineering (United States)","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04961832,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"52","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11996","display_name":"Random lasers and scattering media","score":0.6410999894142151,"subfield":{"id":"https://openalex.org/subfields/3102","display_name":"Acoustics and Ultrasonics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11996","display_name":"Random lasers and scattering media","score":0.6410999894142151,"subfield":{"id":"https://openalex.org/subfields/3102","display_name":"Acoustics and Ultrasonics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10245","display_name":"Metamaterials and Metasurfaces Applications","score":0.17180000245571136,"subfield":{"id":"https://openalex.org/subfields/2504","display_name":"Electronic, Optical and Magnetic Materials"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.14820000529289246,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/single-pixel-imaging","display_name":"single-pixel imaging","score":0.8149999976158142},{"id":"https://openalex.org/keywords/plasmonic-nanoantennas","display_name":"plasmonic nanoantennas","score":0.9010000228881836},{"id":"https://openalex.org/keywords/time-domain-spectroscopy","display_name":"time-domain spectroscopy","score":0.9589999914169312},{"id":"https://openalex.org/keywords/handwritten-digit-recognition","display_name":"handwritten digit recognition","score":0.8700000047683716},{"id":"https://openalex.org/keywords/machine-vision","display_name":"machine vision","score":0.6549999713897705}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7993906736373901},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7189679741859436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.687229335308075},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49872612953186035},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4759868383407593},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34509366750717163}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2580625","doi":"https://doi.org/10.1117/12.2580625","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2580625","pdf_url":null,"source":{"id":"https://openalex.org/S7407104741","display_name":"AI and Optical Data Sciences","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AI and Optical Data Sciences II","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3138209928","https://openalex.org/W3190013163","https://openalex.org/W3190460907","https://openalex.org/W3027877415","https://openalex.org/W4323805727","https://openalex.org/W2980818518","https://openalex.org/W3088047161","https://openalex.org/W4385315169","https://openalex.org/W4324392870","https://openalex.org/W2922223207"],"abstract_inverted_index":{"Using":[0],"deep":[1],"learning-based":[2],"training":[3],"of":[4,22,52,75,92],"diffractive":[5,34,45],"layers":[6,46],"we":[7,61],"designed":[8],"single-pixel":[9,56,98],"machine":[10],"vision":[11],"systems":[12],"to":[13,26,47,71],"all-optically":[14],"classify":[15,49],"images":[16,51,74],"by":[17],"maximizing":[18],"the":[19,23,27,50,73,76,81,90],"output":[20],"power":[21,82],"wavelength":[24],"corresponding":[25],"correct":[28],"data-class.":[29],"We":[30],"experimentally":[31],"validated":[32],"our":[33],"designs":[35],"using":[36,54],"a":[37,55,63,69,96],"plasmonic":[38],"nanoantenna-based":[39],"time-domain":[40],"spectroscopy":[41],"setup":[42],"and":[43,57],"3D-printed":[44],"successfully":[48],"handwritten-digits":[53],"snap-shot":[58],"illumination.":[59],"Furthermore,":[60],"trained":[62],"shallow":[64],"electronic":[65],"neural":[66],"network":[67],"as":[68,95],"decoder":[70],"reconstruct":[72],"input":[77],"objects,":[78],"solely":[79],"from":[80],"detected":[83],"at":[84],"ten":[85],"distinct":[86],"wavelengths,":[87],"also":[88],"demonstrating":[89],"success":[91],"this":[93],"platform":[94],"task-specific,":[97],"imager.":[99]},"counts_by_year":[],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2021-03-15T00:00:00"}
