{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T14:26:09Z","timestamp":1762957569513,"version":"3.29.0"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,10,2]],"date-time":"2024-10-02T00:00:00Z","timestamp":1727827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,2]],"date-time":"2024-10-02T00:00:00Z","timestamp":1727827200000},"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":[[2024,10,2]]},"DOI":"10.1109\/mmsp61759.2024.10743791","type":"proceedings-article","created":{"date-parts":[[2024,11,12]],"date-time":"2024-11-12T18:35:35Z","timestamp":1731436535000},"page":"1-6","source":"Crossref","is-referenced-by-count":2,"title":["Learned Multimodal Compression for Autonomous Driving"],"prefix":"10.1109","author":[{"given":"Hadi","family":"Hadizadeh","sequence":"first","affiliation":[{"name":"Simon Fraser University,Burnaby,BC,Canada"}]},{"given":"Ivan V.","family":"Baji\u0107","sequence":"additional","affiliation":[{"name":"Simon Fraser University,Burnaby,BC,Canada"}]}],"member":"263","reference":[{"key":"ref1","article-title":"End-to-end learning for self-driving cars","author":"Bojarski","year":"2016","journal-title":"arXiv preprint"},{"key":"ref2","article-title":"Sparks of artificial general intelligence: Early experiments with GPT-4","author":"Bubeck","year":"2023","journal-title":"arXiv preprint"},{"volume-title":"The data deluge: What do we do with the data generated by AVs?","year":"2021","author":"G\u00f6tz","key":"ref3"},{"volume-title":"Autonomous cars\u2019 big problem: The energy consumption of edge processing reduces a car\u2019s mileage with up to 30%","year":"2019","author":"Richart","key":"ref4"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1016\/j.csi.2021.103521"},{"key":"ref6","first-page":"1","article-title":"Variational image compression with a scale hyperprior","volume-title":"Intl. Conf. on Learning Representations (ICLR)","author":"Ball\u00e9","year":"2018"},{"key":"ref7","article-title":"Joint autoregressive and hierarchical priors for learned image compression","volume":"31","author":"Minnen","year":"2018","journal-title":"Advances in Neural Information Processing Systems"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1109\/CVPR42600.2020.00796"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1007\/978-3-031-19787-1_12"},{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1109\/OJCAS.2021.3123201"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.2352\/issn.2694-118X.2021.LIM-78"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.3390\/s24103185"},{"key":"ref13","article-title":"Compressing sensor data for remote assistance of autonomous vehicles using deep generative models","author":"Bogdoll","year":"2021","journal-title":"arXiv preprint"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1109\/MIPR62202.2024.00068"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1109\/TIP.2022.3160602"},{"key":"ref16","article-title":"Rate-distortion theory in coding for machines and its application","author":"Harell","year":"2023","journal-title":"arXiv preprint"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1002\/0471200611"},{"key":"ref18","first-page":"368","article-title":"The information bottleneck method","volume-title":"Proc. 37th annual Allerton Conference on Communication, Control, and Computing","author":"Tishby","year":"1999"},{"key":"ref19","article-title":"Invertible residual networks","volume-title":"Proc. ICML","author":"Behrmann","year":"2019"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1109\/CVPRW59228.2023.00022"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1109\/CVPR42600.2020.01164"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1109\/CVPR.2016.90"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.1109\/CVPR.2018.00472"},{"key":"ref24","article-title":"Lossy image compression with normalizing flows","volume-title":"Intl. Conf. on Learning Representations (ICLR)","author":"Helminger","year":"2021"},{"volume-title":"Variational inference with normalizing flows","year":"2016","author":"Rezende","key":"ref25"},{"volume-title":"IEEE ICASSP Workshops, 2023","author":"Hadizadeh","article-title":"LCCM-VC: Learned conditional coding modes for video coding","key":"ref26"},{"key":"ref27","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"ICLR"},{"volume-title":"Calculation of average PSNR differences between RD-curves","year":"2001","author":"Bj\u00f8ntegaard","key":"ref28"},{"volume-title":"Reference software for VVC","year":"2022","key":"ref29"},{"doi-asserted-by":"publisher","key":"ref30","DOI":"10.1109\/TCSVT.2021.3101953"}],"event":{"name":"2024 IEEE 26th International Workshop on Multimedia Signal Processing (MMSP)","start":{"date-parts":[[2024,10,2]]},"location":"West Lafayette, IN, USA","end":{"date-parts":[[2024,10,4]]}},"container-title":["2024 IEEE 26th International Workshop on Multimedia Signal Processing (MMSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10743173\/10743194\/10743791.pdf?arnumber=10743791","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T14:42:04Z","timestamp":1732718524000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10743791\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,2]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/mmsp61759.2024.10743791","relation":{},"subject":[],"published":{"date-parts":[[2024,10,2]]}}}