{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T19:43:47Z","timestamp":1776887027477,"version":"3.51.2"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,5,23]]},"DOI":"10.1109\/icassp43922.2022.9747854","type":"proceedings-article","created":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T19:50:34Z","timestamp":1651089034000},"page":"2025-2029","source":"Crossref","is-referenced-by-count":15,"title":["Universal Efficient Variable-Rate Neural Image Compression"],"prefix":"10.1109","author":[{"given":"Shanzhi","family":"Yin","sequence":"first","affiliation":[{"name":"Harbin Institute of Technology,Shenzhen"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Li","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology,Shenzhen"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Youneng","family":"Bao","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology,Shenzhen"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongsheng","family":"Liang","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology,Shenzhen"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fanyang","family":"Meng","sequence":"additional","affiliation":[{"name":"Peng Cheng Laboratory"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Liu","sequence":"additional","affiliation":[{"name":"Peng Cheng Laboratory"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Density modeling of images using a generalized normalization transformation","author":"balle","year":"2016","journal-title":"4th International Conference on Learning Representations ICLR 2016 - Conference Track Proceedings"},{"key":"ref11","first-page":"1","article-title":"Lossy image compression with compressive autoencoders","author":"theis","year":"2017","journal-title":"5th International Conference on Learning Representations ICLR 2017 - Conference Track Proceedings"},{"key":"ref12","article-title":"Computationally efficient neural image compression","author":"johnston","year":"2019"},{"key":"ref13","article-title":"Cbanet: Towards complexity and bitrate adaptive deep image compression using a single network","author":"guo","year":"2021"},{"key":"ref14","article-title":"Channel gating neural networks","volume":"32","author":"hua","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01155"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01039"},{"key":"ref17","article-title":"Variational image compression with a scale hyperprior","author":"balle","year":"2018","journal-title":"International Conference on Learning Representations"},{"key":"ref18","article-title":"End-to-end optimized image compression","author":"ball\u00e9","year":"0","journal-title":"Int&#x2019;l Conf on Learning Representations (ICLR2017)"},{"key":"ref19","article-title":"Compressai: a pytorch library and evaluation platform for end-to-end compression research","author":"b\u00e9gaint","year":"2020","journal-title":"arXiv preprint arXiv 2011 00177"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3027975"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3058615"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2019.00249"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2880492"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00324"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2020.2970539"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00796"},{"key":"ref1","first-page":"10771","article-title":"Joint autoregressive and hierarchical priors for learned image compression","volume":"2018 decem","author":"minnen","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref9","article-title":"Rate distortion characteristic modeling for neural image compression","author":"jia","year":"2021"}],"event":{"name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Singapore, Singapore","start":{"date-parts":[[2022,5,23]]},"end":{"date-parts":[[2022,5,27]]}},"container-title":["ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9745891\/9746004\/09747854.pdf?arnumber=9747854","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,22]],"date-time":"2022-08-22T20:12:31Z","timestamp":1661199151000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9747854\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,23]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/icassp43922.2022.9747854","relation":{},"subject":[],"published":{"date-parts":[[2022,5,23]]}}}