{"id":"https://openalex.org/W2982355259","doi":"https://doi.org/10.1109/icassp40776.2020.9054442","title":"Robust and Computationally-Efficient Anomaly Detection Using Powers-Of-Two Networks","display_name":"Robust and Computationally-Efficient Anomaly Detection Using Powers-Of-Two Networks","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W2982355259","doi":"https://doi.org/10.1109/icassp40776.2020.9054442","mag":"2982355259"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9054442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054442","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1910.14096","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041616382","display_name":"Usama Muneeb","orcid":null},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Usama Muneeb","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046275838","display_name":"Erdem Koyuncu","orcid":"https://orcid.org/0000-0002-6238-0470"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erdem Koyuncu","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035130373","display_name":"Yasaman Keshtkarjahromi","orcid":"https://orcid.org/0000-0002-3420-2554"},"institutions":[{"id":"https://openalex.org/I131787340","display_name":"Seagate (United States)","ror":"https://ror.org/04p1xtv71","country_code":"US","type":"company","lineage":["https://openalex.org/I131787340"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yasaman Keshtkarjahromi","raw_affiliation_strings":["Seagate Technology LLC, Shakopee, MN"],"affiliations":[{"raw_affiliation_string":"Seagate Technology LLC, Shakopee, MN","institution_ids":["https://openalex.org/I131787340"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059833598","display_name":"H\u00fclya Sefero\u011flu","orcid":"https://orcid.org/0000-0001-5497-6090"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hulya Seferoglu","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105469849","display_name":"M. Fatih Erden","orcid":null},"institutions":[{"id":"https://openalex.org/I131787340","display_name":"Seagate (United States)","ror":"https://ror.org/04p1xtv71","country_code":"US","type":"company","lineage":["https://openalex.org/I131787340"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mehmet Fatih Erden","raw_affiliation_strings":["Seagate Technology LLC, Shakopee, MN"],"affiliations":[{"raw_affiliation_string":"Seagate Technology LLC, Shakopee, MN","institution_ids":["https://openalex.org/I131787340"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080469744","display_name":"Ahmet Enis \u00c7etin","orcid":"https://orcid.org/0000-0002-3449-1958"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Enis Cetin","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5041616382"],"corresponding_institution_ids":["https://openalex.org/I39422238"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00779039,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"abs 1611 6440","issue":null,"first_page":"2992","last_page":"2996"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.991599977016449,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.984000027179718,"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/robustness","display_name":"Robustness (evolution)","score":0.8340200781822205},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6896806955337524},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.639063835144043},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5268049240112305},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5139591097831726},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5098034739494324},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4669293761253357},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4517979323863983},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4485166072845459},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4074273407459259},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4054020643234253},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12337231636047363}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8340200781822205},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6896806955337524},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.639063835144043},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5268049240112305},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5139591097831726},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5098034739494324},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4669293761253357},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4517979323863983},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4485166072845459},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4074273407459259},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4054020643234253},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12337231636047363},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/icassp40776.2020.9054442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054442","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1910.14096","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.14096","pdf_url":"https://arxiv.org/pdf/1910.14096","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2982355259","is_oa":true,"landing_page_url":"https://arxiv.org/abs/1910.14096","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1910.14096","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1910.14096","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"doi:10.17023/2fjh-jg65","is_oa":true,"landing_page_url":"https://doi.org/10.17023/2fjh-jg65","pdf_url":null,"source":{"id":"https://openalex.org/S7407051697","display_name":"IEEE RESOURCE CENTERS","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1910.14096","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.14096","pdf_url":"https://arxiv.org/pdf/1910.14096","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2982355259.pdf","grobid_xml":"https://content.openalex.org/works/W2982355259.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1755205674","https://openalex.org/W1978259121","https://openalex.org/W1999499433","https://openalex.org/W2012931101","https://openalex.org/W2047911951","https://openalex.org/W2079724595","https://openalex.org/W2097363716","https://openalex.org/W2099471712","https://openalex.org/W2103559027","https://openalex.org/W2122361470","https://openalex.org/W2135046866","https://openalex.org/W2138092272","https://openalex.org/W2149287117","https://openalex.org/W2153966940","https://openalex.org/W2164489414","https://openalex.org/W2182079598","https://openalex.org/W2267244539","https://openalex.org/W2293036858","https://openalex.org/W2540481276","https://openalex.org/W2553597291","https://openalex.org/W2553910756","https://openalex.org/W2604606537","https://openalex.org/W2605950864","https://openalex.org/W2766839578","https://openalex.org/W2787947370","https://openalex.org/W2892104683","https://openalex.org/W2926371525","https://openalex.org/W2963073614","https://openalex.org/W2963111876","https://openalex.org/W2963398264","https://openalex.org/W2963420272","https://openalex.org/W2963541464","https://openalex.org/W2963684088","https://openalex.org/W2964232409","https://openalex.org/W2999211665","https://openalex.org/W4255521522","https://openalex.org/W6685352114","https://openalex.org/W6729763630","https://openalex.org/W6736322758","https://openalex.org/W6738086224","https://openalex.org/W6748495906"],"related_works":["https://openalex.org/W3015879607","https://openalex.org/W2914992179","https://openalex.org/W3135409979","https://openalex.org/W3206903482","https://openalex.org/W3176997686","https://openalex.org/W3010860919","https://openalex.org/W3176240666","https://openalex.org/W2945046150","https://openalex.org/W2963512705","https://openalex.org/W3034830587","https://openalex.org/W2750537432","https://openalex.org/W3005853429","https://openalex.org/W2964156315","https://openalex.org/W3007289469","https://openalex.org/W3176715923","https://openalex.org/W2901643272","https://openalex.org/W3027574712","https://openalex.org/W2782697745","https://openalex.org/W3134513091","https://openalex.org/W3080571556"],"abstract_inverted_index":{"Robust":[0],"and":[1,22,60],"computationally":[2,68],"efficient":[3],"anomaly":[4,33],"detection":[5],"in":[6,11,26,91,118],"videos":[7],"is":[8,142,173],"a":[9,17,27,97,110,153],"problem":[10],"video":[12,42],"surveillance":[13],"systems.":[14],"We":[15,44,166],"propose":[16],"technique":[18],"to":[19,85,138,158,175],"increase":[20],"robustness":[21,130,161],"reduce":[23,45],"computational":[24],"complexity":[25,47],"Convolutional":[28],"Neural":[29],"Network":[30,156],"(CNN)":[31],"based":[32],"detector":[34],"that":[35,125,169],"utilizes":[36],"the":[37,46,49,53,58,67,92,104,116,119,132,139,160,163,170],"optical":[38],"flow":[39],"information":[40],"of":[41,48,57,89,99,134,162],"data.":[43],"network":[50,93,112],"by":[51,61,152],"denoising":[52,126],"intermediate":[54,82,136],"layer":[55,83],"outputs":[56,84],"CNN":[59,105],"using":[62],"powers-of-two":[63],"weights,":[64],"which":[65],"replaces":[66],"expensive":[69],"multiplication":[70],"operations":[71],"with":[72],"bit-shift":[73],"operations.":[74],"Denoising":[75],"operation":[76,127],"during":[77],"inference":[78],"forces":[79],"small":[80,135],"valued":[81],"zero.":[86],"The":[87],"number":[88],"zeros":[90],"significantly":[94],"increases":[95],"as":[96],"result":[98,141],"denoising,":[100],"we":[101,146],"can":[102],"implement":[103],"about":[106],"10%":[107],"faster":[108],"than":[109],"comparable":[111],"while":[113],"detecting":[114],"all":[115],"anomalies":[117],"testing":[120],"set.":[121],"It":[122],"turns":[123],"out":[124],"also":[128,147],"provides":[129],"because":[131],"contribution":[133],"values":[137],"final":[140],"negligible.":[143],"During":[144],"training":[145],"generate":[148],"motion":[149],"vector":[150],"images":[151],"Generative":[154],"Adversarial":[155],"(GAN)":[157],"improve":[159],"overall":[164],"system.":[165],"experimentally":[167],"observe":[168],"resulting":[171],"system":[172],"robust":[174],"background":[176],"motion.":[177]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
