{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T21:28:54Z","timestamp":1770154134848,"version":"3.49.0"},"reference-count":74,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003977","name":"Israel Science Foundation","doi-asserted-by":"publisher","award":["335\/18"],"award-info":[{"award-number":["335\/18"]}],"id":[{"id":"10.13039\/501100003977","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Signal Process."],"published-print":{"date-parts":[[2021,2]]},"DOI":"10.1109\/jstsp.2021.3049634","type":"journal-article","created":{"date-parts":[[2021,1,7]],"date-time":"2021-01-07T14:31:57Z","timestamp":1610029917000},"page":"324-338","source":"Crossref","is-referenced-by-count":11,"title":["Deep Energy: Task Driven Training of Deep Neural Networks"],"prefix":"10.1109","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7103-8047","authenticated-orcid":false,"given":"Alona","family":"Golts","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7354-0129","authenticated-orcid":false,"given":"Daniel","family":"Freedman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8131-6928","authenticated-orcid":false,"given":"Michael","family":"Elad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref73","article-title":"Rethinking atrous convolution for semantic image segmentation","author":"chen","year":"2017"},{"key":"ref72","first-page":"9461","article-title":"Implicit bias of gradient descent on linear convolutional networks","author":"gunasekar","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.213"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01303-4"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00835"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/1186562.1015720"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00177"},{"key":"ref33","first-page":"1349","article-title":"Texture networks: Feed-forward synthesis of textures and stylized images","author":"ulyanov","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"ref31","article-title":"A neural algorithm of artistic style","author":"gatys","year":"2015"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2952032"},{"key":"ref37","first-page":"3929","article-title":"Learn. deep CNN denoiser prior for image restoration","author":"zhang","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref36","first-page":"3217","article-title":"Deep unfolding network for image super-resolution","author":"zhang","year":"0","journal-title":"Proc IEEE Conf Comput Vis and Pattern Recog"},{"key":"ref35","article-title":"Deep unfolding: Model-based inspiration of novel deep architectures","author":"hershey","year":"2014"},{"key":"ref34","first-page":"1495","article-title":"Unsupervised deep learning for optical flow estimation","author":"ren","year":"0","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2867951"},{"key":"ref62","volume":"26","author":"levin","year":"0","journal-title":"ACM Trans Graphics"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/0-387-28831-7_15"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1145\/1882262.1866186"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.233"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/83.597272"},{"key":"ref27","first-page":"5553","article-title":"Learn. detailed face reconstruction from a single image","author":"richardson","year":"0","journal-title":"Proc IEEE Conf Comput Vis and Pattern Recog"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-9779-1_3"},{"key":"ref66","article-title":"Multi-scale context aggregation by dilated convolutions","author":"yu","year":"2015"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1177"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126343"},{"key":"ref69","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014"},{"key":"ref2","first-page":"173","article-title":"Deep speech 2: End-to-end speech recognition in english and mandarin","author":"amodei","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.191"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00195"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.209"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.700"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_31"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3272127.3275081"},{"key":"ref25","article-title":"Unflow: Unsupervised learning of optical flow with a bidirectional census loss","author":"meister","year":"0","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref50","first-page":"423","article-title":"Random walks for interactive alpha-matting","author":"grady","year":"0","journal-title":"Proc VIIP"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383006"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.185"},{"key":"ref58","article-title":"Dehazing using color-lines","volume":"34","author":"r","year":"2014","journal-title":"TOG"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.82"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587643"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206503"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_39"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_6"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.41"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2598681"},{"key":"ref40","first-page":"105","article-title":"Interactive graph cuts for optimal boundary & region segmentation of objects in ND images","author":"boykov","year":"0","journal-title":"Proc 8th IEEE Int Conf Comput Vis"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.511"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00343"},{"key":"ref14","first-page":"254","article-title":"Vision through the atmosphere","author":"middleton","year":"0","journal-title":"Proc Geophysik II\/Geophys II"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2004.60"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/83.650118"},{"key":"ref17","first-page":"2341","article-title":"Single image haze removal using dark channel prior","volume":"33","author":"he","year":"2011"},{"key":"ref18","first-page":"1663","article-title":"Structure-and motion-adaptive regularization for high accuracy optic flow,&#x201D; in computer vision","author":"wedel","year":"0","journal-title":"Proc IEEE 12th Int Conf"},{"key":"ref19","first-page":"1742","author":"papandreou","year":"0","journal-title":"Proc IEEE Int Conf Comput Vis"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.273"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46478-7_34"},{"key":"ref5","first-page":"649","article-title":"Character-level convolutional networks for text classification","author":"zhang","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.05.001"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995495"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2446191"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.344"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2636150"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2009.01627.x"},{"key":"ref47","article-title":"Bayesian approach to digital matting","author":"chuang","year":"0","journal-title":"Proc Comput Vis Pattern Recognit"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_42"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"}],"container-title":["IEEE Journal of Selected Topics in Signal Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4200690\/9359898\/09314884.pdf?arnumber=9314884","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:52:46Z","timestamp":1652194366000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9314884\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2]]},"references-count":74,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/jstsp.2021.3049634","relation":{},"ISSN":["1932-4553","1941-0484"],"issn-type":[{"value":"1932-4553","type":"print"},{"value":"1941-0484","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2]]}}}