{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T18:50:50Z","timestamp":1772909450916,"version":"3.50.1"},"reference-count":35,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,4]]},"DOI":"10.1109\/icassp49357.2023.10094902","type":"proceedings-article","created":{"date-parts":[[2023,5,5]],"date-time":"2023-05-05T17:28:30Z","timestamp":1683307710000},"page":"1-5","source":"Crossref","is-referenced-by-count":11,"title":["In-Sensor & Neuromorphic Computing Are all You Need for Energy Efficient Computer Vision"],"prefix":"10.1109","author":[{"given":"Gourav","family":"Datta","sequence":"first","affiliation":[{"name":"University of Southern California,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zeyu","family":"Liu","sequence":"additional","affiliation":[{"name":"University of Southern California,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Md Abdullah-Al","family":"Kaiser","sequence":"additional","affiliation":[{"name":"University of Southern California,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Souvik","family":"Kundu","sequence":"additional","affiliation":[{"name":"Intel Labs,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joe","family":"Mathai","sequence":"additional","affiliation":[{"name":"Information Sciences Institute,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zihan","family":"Yin","sequence":"additional","affiliation":[{"name":"University of Southern California,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ajey P.","family":"Jacob","sequence":"additional","affiliation":[{"name":"Information Sciences Institute,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Akhilesh R.","family":"Jaiswal","sequence":"additional","affiliation":[{"name":"University of Southern California,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter A.","family":"Beerel","sequence":"additional","affiliation":[{"name":"University of Southern California,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","article-title":"Towards energy-efficient, low-latency and accurate spiking LSTMs","author":"datta","year":"2022"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/s21030926"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN52387.2021.9534306"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/JETCAS.2018.2829522"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2019.00095"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2022.815258"},{"key":"ref31","year":"0","journal-title":"CMOS Image Sensor 1 2 MP Global Shutter 3 220 Rev 10"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.23919\/DATE54114.2022.9774704"},{"key":"ref33","article-title":"Fundamental limits on energydelay-accuracy of in-memory architectures in inference applications","author":"gonugondla","year":"2021","journal-title":"IEEE TCAD"},{"key":"ref10","article-title":"DIET-SNN: Direct input encoding with leakage and threshold optimization in deep spiking neural networks","author":"rathi","year":"2021","journal-title":"TNNLS"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CAS52836.2021.9604147"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-022-17934-1"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58526-6_29"},{"key":"ref17","article-title":"Towards low-latency energy-efficient deep SNNs via attention-guided compression","year":"2021"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2016.00508"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JETCAS.2021.3121259"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00400"},{"key":"ref24","first-page":"2416","article-title":"A low power multi-mode CMOS image sensor with integrated on-chip motion detection","author":"liu","year":"2013","journal-title":"IEEE ISCAS"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2002.806285"},{"key":"ref26","article-title":"Paying more attention to attention: improving the performance of convolutional neural networks via attention transfer","author":"komodakis","year":"2017","journal-title":"ICLRE"},{"key":"ref25","article-title":"Do deep nets really need to be deep?","volume":"27","author":"ba","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2019.2937227"},{"key":"ref22","article-title":"Toward efficient hyperspectral image processing inside camera pixels","author":"datta","year":"2022"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/VLSI-SoC54400.2022.9939582"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref27","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009"},{"key":"ref29","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053856"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICRC.2016.7738691"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2017.12.005"},{"key":"ref4","article-title":"Hoyer regularizer is all you need for ultra low-latency spiking neural networks","author":"datta","year":"2022"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2020.2976475"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0788-3"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2011.00118"}],"event":{"name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Rhodes Island, Greece","start":{"date-parts":[[2023,6,4]]},"end":{"date-parts":[[2023,6,10]]}},"container-title":["ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10094559\/10094560\/10094902.pdf?arnumber=10094902","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,20]],"date-time":"2023-11-20T19:08:09Z","timestamp":1700507289000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10094902\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,4]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/icassp49357.2023.10094902","relation":{},"subject":[],"published":{"date-parts":[[2023,6,4]]}}}