{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T23:37:03Z","timestamp":1780443423501,"version":"3.54.1"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,5]],"date-time":"2021-12-05T00:00:00Z","timestamp":1638662400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,5]],"date-time":"2021-12-05T00:00:00Z","timestamp":1638662400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,5]],"date-time":"2021-12-05T00:00:00Z","timestamp":1638662400000},"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":[[2021,12,5]]},"DOI":"10.1109\/dac18074.2021.9586299","type":"proceedings-article","created":{"date-parts":[[2021,11,8]],"date-time":"2021-11-08T18:30:34Z","timestamp":1636396234000},"page":"241-246","source":"Crossref","is-referenced-by-count":7,"title":["An Energy-Efficient Low-Latency 3D-CNN Accelerator Leveraging Temporal Locality, Full Zero-Skipping, and Hierarchical Load Balance"],"prefix":"10.1109","author":[{"given":"Changchun","family":"Zhou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Siyuan","family":"Qiu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yifan","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hailong","family":"Jiao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2017.2761740"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2019.2946771"},{"key":"ref12","article-title":"A 65nm 24.7 &#x00B5;J\/frame 12.3 mW activation-similarity-aware convolutional neural network video processor using hybrid precision, inter-frame data reuse and mixed-bit-width difference-frame data codec","author":"yuan","year":"2020","journal-title":"ISSCC"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3307650.3322260"},{"key":"ref14","article-title":"UCF101: A dataset of 101 human actions classes from videos in the wild","author":"khurram","year":"2012","journal-title":"arXiv 1212 0402"},{"key":"ref15","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"arXiv 1409 1556v6"},{"key":"ref16","year":"0"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s13244-018-0639-9"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2016.7418007"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2014.106"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.223"},{"key":"ref3","article-title":"A 502GOPS and 0.984 mW dual-mode ADAS SoC with RNN-FIS engine for intention prediction in automotive black-box system","author":"lee","year":"2016","journal-title":"ISSCC"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2018.2884641"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.59"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3140659.3080254"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.510"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2897980"},{"key":"ref1","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"NIPS"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3007787.3001138"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2018.8310262"}],"event":{"name":"2021 58th ACM\/IEEE Design Automation Conference (DAC)","location":"San Francisco, CA, USA","start":{"date-parts":[[2021,12,5]]},"end":{"date-parts":[[2021,12,9]]}},"container-title":["2021 58th ACM\/IEEE Design Automation Conference (DAC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9585997\/9586083\/09586299.pdf?arnumber=9586299","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T12:55:53Z","timestamp":1652187353000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9586299\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,5]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/dac18074.2021.9586299","relation":{},"subject":[],"published":{"date-parts":[[2021,12,5]]}}}