{"id":"https://openalex.org/W4392746454","doi":"https://doi.org/10.1109/isscc49657.2024.10454391","title":"6.3 Imager with In-Sensor Event Detection and Morphological Transformations with 2.9pJ/pixel\u00d7frame Object Segmentation FOM for Always-On Surveillance in 40nm","display_name":"6.3 Imager with In-Sensor Event Detection and Morphological Transformations with 2.9pJ/pixel\u00d7frame Object Segmentation FOM for Always-On Surveillance in 40nm","publication_year":2024,"publication_date":"2024-02-18","ids":{"openalex":"https://openalex.org/W4392746454","doi":"https://doi.org/10.1109/isscc49657.2024.10454391"},"language":"en","primary_location":{"id":"doi:10.1109/isscc49657.2024.10454391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isscc49657.2024.10454391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Solid-State Circuits Conference (ISSCC)","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/A5065804630","display_name":"Japesh Vohra","orcid":"https://orcid.org/0009-0003-1875-1822"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Japesh Vohra","raw_affiliation_strings":["National University of Singapore,Singapore,Singapore","National University of Singapore, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore,Singapore,Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082952724","display_name":"Animesh Gupta","orcid":"https://orcid.org/0000-0003-4374-335X"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Animesh Gupta","raw_affiliation_strings":["National University of Singapore,Singapore,Singapore","National University of Singapore, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore,Singapore,Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052037141","display_name":"Massimo Alioto","orcid":"https://orcid.org/0000-0002-4127-8258"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Massimo Alioto","raw_affiliation_strings":["National University of Singapore,Singapore,Singapore","National University of Singapore, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore,Singapore,Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"104","last_page":"106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9965999722480774,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/computer-vision","display_name":"Computer vision","score":0.7341570854187012},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.7288135290145874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7186246514320374},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6703678369522095},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6573262214660645},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6292216181755066},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.600906491279602},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5971243381500244},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4892299175262451},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4605715572834015},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35045766830444336},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1252569854259491},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07315114140510559}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7341570854187012},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.7288135290145874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7186246514320374},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6703678369522095},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6573262214660645},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6292216181755066},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.600906491279602},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5971243381500244},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4892299175262451},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4605715572834015},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35045766830444336},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1252569854259491},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07315114140510559},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isscc49657.2024.10454391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isscc49657.2024.10454391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Solid-State Circuits Conference (ISSCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2069363022","https://openalex.org/W2139336997","https://openalex.org/W2790617964","https://openalex.org/W2999281663","https://openalex.org/W3043489778","https://openalex.org/W4220868416","https://openalex.org/W4385190158","https://openalex.org/W6749084188"],"related_works":["https://openalex.org/W3135697610","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Relentless":[0],"power":[1,15,66,74,131,216],"reductions":[2],"in":[3,40,76,120,175,248],"always-on":[4],"untethered":[5],"imagers":[6,47],"for":[7,63,89,209],"distributed":[8],"vision":[9],"are":[10,144,242],"required":[11],"to":[12,28,36,57,103,109,133,141,163,203,219,244],"fit":[13],"the":[14,53,77,127,171,220,224,229,260],"budgets":[16],"available":[17],"from":[18],"their":[19],"tightly":[20],"constrained":[21],"energy":[22,262],"sources.":[23],"As":[24],"an":[25],"effective":[26,119],"approach":[27],"reduce":[29,37,142],"power,":[30],"event":[31,49,69,178,256],"detection":[32,70,91,179],"has":[33],"been":[34,201],"explored":[35],"system":[38,65],"activity":[39,61,106,143,184],"uninteresting":[41,249],"frames":[42],"or":[43],"regions":[44,165,250],"[1\u20136].":[45],"In":[46],"with":[48,235],"detection,":[50,257],"one":[51],"of":[52,129,166,190],"main":[54],"challenges":[55],"is":[56,92,100,116],"simultaneously":[58,245],"achieve":[59],"substantial":[60],"reduction":[62,107,240],"lower":[64,84,210],"(i.e.,":[67],"low":[68,73],"false-positives)":[71],"and":[72,95,155,206,254],"consumption":[75,217],"event-detection":[78],"circuitry":[79],"(generally":[80],"higher":[81,130,135],"when":[82],"targeting":[83],"false":[85,191,211,238],"positives).":[86],"Frame":[87],"difference":[88],"motion":[90,111],"relatively":[93],"simple":[94],"hence":[96],"power-inexpensive,":[97],"although":[98,213],"it":[99,124],"well":[101],"known":[102],"offer":[104],"limited":[105],"due":[108,132,218],"background":[110],"[1,":[112],"2].":[113],"Background":[114],"subtraction":[115],"generally":[117],"more":[118,236],"reducing":[121],"activity,":[122],"but":[123],"comes":[125],"at":[126,214],"cost":[128],"its":[134],"complexity":[136],"[3,":[137],"4].":[138],"Further":[139],"opportunities":[140],"potentially":[145,156],"added":[146],"by":[147],"object":[148,252],"segmentation,":[149],"which":[150],"can":[151],"suppress":[152,246],"readout":[153],"[5]":[154],"restrict":[157],"subsequent":[158],"processing":[159],"(e.g.,":[160],"neural":[161],"network)":[162],"specific":[164],"interest":[167],"(ROIs)":[168],"rather":[169],"than":[170],"entire":[172],"frame.":[173],"However,":[174],"this":[176],"case,":[177],"inaccuracies":[180],"severely":[181],"limit":[182],"potential":[183],"reduction,":[185],"thus":[186],"requiring":[187],"further":[188],"mitigation":[189],"positives":[192],"[6].":[193,227],"Accordingly,":[194],"morphological":[195],"transformations":[196],"such":[197],"as":[198],"erosion":[199],"have":[200],"shown":[202],"remove":[204],"isolated":[205],"noisy":[207],"areas":[208],"positives,":[212],"high":[215],"digital":[221],"implementation":[222],"outside":[223],"pixel":[225],"array":[226],"From":[228],"above":[230],"fundamental":[231],"tradeoff,":[232],"new":[233],"solutions":[234],"favorable":[237],"positives-power":[239],"tradeoff":[241],"necessary":[243],"activity/readout":[247],"via":[251],"segmentation":[253],"accurate":[255],"while":[258],"keeping":[259],"latter":[261],"competitive.":[263]},"counts_by_year":[{"year":2025,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}