{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T22:29:07Z","timestamp":1725748147221},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"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":[[2019,10]]},"DOI":"10.1109\/mlsp.2019.8918839","type":"proceedings-article","created":{"date-parts":[[2019,12,6]],"date-time":"2019-12-06T08:23:52Z","timestamp":1575620632000},"page":"1-6","source":"Crossref","is-referenced-by-count":2,"title":["Generative Models For Low-Rank Video Representation And Reconstruction From Compressive Measurements"],"prefix":"10.1109","author":[{"given":"Rakib","family":"Hyder","sequence":"first","affiliation":[]},{"given":"M. Salman","family":"Asif","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2013.6738210"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2202-13-S1-P183"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2016.2527181"},{"key":"ref13","article-title":"Precise recovery of latent vectors from generative adversarial networks","author":"lipton","year":"2017","journal-title":"arXiv preprint arXiv 1702 03180"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46454-1_36"},{"key":"ref15","first-page":"1","article-title":"Inverting the generator of a generative adversarial network","author":"creswell","year":"2018","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"ref16","article-title":"Optimizing the latent space of generative networks","author":"bojanowski","year":"2018","journal-title":"Proc Int Conf Machine Learning"},{"key":"ref17","article-title":"Auto-encoding variational bayes","author":"kingma","year":"2013","journal-title":"arXiv preprint arXiv 1312 6114"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.7.1527"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref28","article-title":"Ucf101: A dataset of 101 human actions classes from videos in the wild","author":"soomro","year":"2012","journal-title":"arXiv preprint arXiv 1212 0402"},{"key":"ref4","first-page":"613","article-title":"Generating videos with scene dynamics","author":"vondrick","year":"2016","journal-title":"Proc Adv in Neural Inf Proc Sys (NIPS)"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2004.1334462"},{"key":"ref3","article-title":"Progressive growing of gans for improved quality, stability, and variation","author":"karras","year":"2017","journal-title":"arXiv preprint arXiv 1710 10196"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2006.871582"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.acha.2010.10.002"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2007.914730"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2005.858979"},{"key":"ref2","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/RADAR.2007.374203"},{"key":"ref1","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Adv in Neural Inf Proc Sys (NIPS)"},{"key":"ref20","article-title":"Compressed sensing using generative models","author":"bora","year":"2017","journal-title":"Proc Int Conf Machine Learning"},{"key":"ref22","article-title":"Deep decoder: Concise image representations from untrained non-convolutional networks","author":"heckel","year":"2018","journal-title":"arXiv preprint arXiv 1810 06008"},{"key":"ref21","article-title":"Compressed sensing with deep image prior and learned regularization","author":"van veen","year":"2018","journal-title":"arXiv preprint arXiv 1806 06438"},{"key":"ref24","first-page":"9446","article-title":"Deep image prior","author":"ulyanov","year":"2018","journal-title":"Proc IEEE Comp Vision Pattern Recogn Conf (CVPR)"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462233"},{"key":"ref26","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"radford","year":"2016","journal-title":"Proc of the Int Conf on Learning Representations (ICLR)"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s10589-013-9576-1"}],"event":{"name":"2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP)","start":{"date-parts":[[2019,10,13]]},"location":"Pittsburgh, PA, USA","end":{"date-parts":[[2019,10,16]]}},"container-title":["2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8911118\/8918685\/08918839.pdf?arnumber=8918839","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T03:09:26Z","timestamp":1657854566000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8918839\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/mlsp.2019.8918839","relation":{},"subject":[],"published":{"date-parts":[[2019,10]]}}}