{"id":"https://openalex.org/W3163859203","doi":"https://doi.org/10.1145/3450268.3453532","title":"milliEye","display_name":"milliEye","publication_year":2021,"publication_date":"2021-05-18","ids":{"openalex":"https://openalex.org/W3163859203","doi":"https://doi.org/10.1145/3450268.3453532","mag":"3163859203"},"language":"en","primary_location":{"id":"doi:10.1145/3450268.3453532","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3450268.3453532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Internet-of-Things Design and Implementation","raw_type":"proceedings-article"},"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/A5091557726","display_name":"Xian Shuai","orcid":"https://orcid.org/0000-0002-6750-6706"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xian Shuai","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103120021","display_name":"Yulin Shen","orcid":"https://orcid.org/0000-0003-1635-6661"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulin Shen","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102148407","display_name":"Yi Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yi Tang","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007137713","display_name":"Shuyao Shi","orcid":"https://orcid.org/0000-0003-2013-907X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shuyao Shi","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036253906","display_name":"Luping Ji","orcid":"https://orcid.org/0000-0002-1200-5218"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luping Ji","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072780737","display_name":"Guoliang Xing","orcid":"https://orcid.org/0000-0003-1772-7751"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Guoliang Xing","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.2959,"has_fulltext":false,"cited_by_count":71,"citation_normalized_percentile":{"value":0.95854757,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"145","last_page":"157"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9973000288009644,"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":0.9973000288009644,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.8060067296028137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.771706759929657},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7108343839645386},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7000049352645874},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.5296095609664917},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4901028573513031},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47811359167099},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.47364723682403564},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.42001962661743164},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.41145262122154236},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2658787965774536},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.19536778330802917}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8060067296028137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.771706759929657},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7108343839645386},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7000049352645874},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.5296095609664917},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4901028573513031},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47811359167099},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.47364723682403564},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.42001962661743164},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.41145262122154236},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2658787965774536},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.19536778330802917},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3450268.3453532","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3450268.3453532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Internet-of-Things Design and Implementation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1673310716","https://openalex.org/W1861492603","https://openalex.org/W2031031248","https://openalex.org/W2037227137","https://openalex.org/W2108598243","https://openalex.org/W2222512263","https://openalex.org/W2344934580","https://openalex.org/W2407521645","https://openalex.org/W2599765304","https://openalex.org/W2743473392","https://openalex.org/W2791406639","https://openalex.org/W2795124604","https://openalex.org/W2799062425","https://openalex.org/W2827033964","https://openalex.org/W2914704920","https://openalex.org/W2931238266","https://openalex.org/W2949860773","https://openalex.org/W2953106684","https://openalex.org/W2962835968","https://openalex.org/W2963766909","https://openalex.org/W2964277612","https://openalex.org/W2970971508","https://openalex.org/W2989940015","https://openalex.org/W2990138404","https://openalex.org/W2995549977","https://openalex.org/W3008115128","https://openalex.org/W3018353706","https://openalex.org/W3033332730","https://openalex.org/W3035574168","https://openalex.org/W3035708560","https://openalex.org/W3087859191","https://openalex.org/W3090671471","https://openalex.org/W3103179390","https://openalex.org/W3106250896","https://openalex.org/W3108124689","https://openalex.org/W3137727437","https://openalex.org/W4210342223","https://openalex.org/W4245551996"],"related_works":["https://openalex.org/W2392812199","https://openalex.org/W4200176076","https://openalex.org/W598185802","https://openalex.org/W2355516524","https://openalex.org/W2361471170","https://openalex.org/W2025616642","https://openalex.org/W1954972543","https://openalex.org/W2954738200","https://openalex.org/W4220843223","https://openalex.org/W4226107239"],"abstract_inverted_index":{"A":[0],"wide":[1],"range":[2],"of":[3,21,109,113,172,176,202],"advanced":[4],"deep":[5],"learning":[6],"algorithms":[7],"have":[8],"recently":[9],"been":[10],"proposed":[11],"for":[12,74,126,194,213],"image":[13,124],"classification":[14],"and":[15,53,70,191,209,220,242],"object":[16,76,151,163,177,214,237],"detection.":[17],"However,":[18],"the":[19,33,49,79,149,173,183,200],"effectiveness":[20],"these":[22],"methods":[23],"can":[24,54,119,169,229],"be":[25],"significantly":[26],"restricted":[27],"in":[28,99,245],"many":[29],"real-world":[30,139],"scenarios":[31],"where":[32],"visibility":[34],"or":[35],"illumination":[36,222],"is":[37,157,189],"poor.":[38],"Compared":[39],"to":[40,48,134,136,182],"RGB":[41],"cameras,":[42],"millimeter-wave":[43],"(mmWave)":[44],"radars":[45],"are":[46],"immune":[47],"above":[50],"environmental":[51],"variability":[52],"assist":[55],"cameras":[56],"under":[57],"adverse":[58],"conditions.":[59,223],"To":[60,198],"this":[61],"end,":[62],"we":[63,204],"propose":[64],"milliEye,":[65,203],"a":[66,100,106,114,144,166,206],"lightweight":[67,190],"mmWave":[68],"radar":[69,208],"camera":[71,210],"fusion":[72,90,186,211],"system":[73],"robust":[75],"detection":[77,178],"on":[78,143,253],"edge":[80,254],"platforms.":[81,255],"milliEye":[82,94,133,156,188,228],"has":[83],"several":[84],"key":[85],"advantages":[86],"over":[87,234],"existing":[88],"sensor":[89],"approaches.":[91],"First,":[92],"while":[93,248],"fuses":[95],"two":[96],"sensing":[97],"modalities":[98],"learning-based":[101],"fashion,":[102],"it":[103,118,168],"requires":[104],"only":[105],"small":[107],"amount":[108],"labeled":[110],"image/radar":[111],"data":[112],"new":[115,207],"scene":[116],"as":[117],"fully":[120],"utilize":[121],"large":[122],"public":[123],"datasets":[125],"extensive":[127],"training.":[128],"This":[129],"salient":[130],"feature":[131],"enables":[132],"adapt":[135],"highly":[137,184],"complex":[138],"environments.":[140],"Second,":[141],"based":[142],"novel":[145],"architecture":[146],"that":[147,227],"decouples":[148],"image-based":[150,162,236],"detector":[152],"from":[153],"other":[154],"modules,":[155],"compatible":[158],"with":[159],"different":[160],"off-the-shelf":[161],"detectors.":[164],"As":[165],"result,":[167],"take":[170],"advantage":[171],"rapid":[174],"progress":[175],"algorithms.":[179],"Moreover,":[180],"thanks":[181],"compute-efficient":[185],"approach,":[187],"thus":[192],"suitable":[193],"edge-based":[195],"real-time":[196],"applications.":[197],"evaluate":[199],"performance":[201,232],"collect":[205],"dataset":[212],"detection,":[215],"which":[216],"contains":[217],"both":[218],"ordinary-light":[219],"low-light":[221,246],"The":[224],"results":[225],"show":[226],"provide":[230],"substantial":[231],"boosts":[233],"state-of-the-art":[235],"detectors,":[238],"including":[239],"Tiny":[240],"YOLOv3":[241],"SSD,":[243],"especially":[244],"scenes,":[247],"incurring":[249],"low":[250],"compute":[251],"overhead":[252]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":2}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2021-05-24T00:00:00"}