{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T09:26:03Z","timestamp":1730193963764,"version":"3.28.0"},"reference-count":49,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"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":[[2019,9]]},"DOI":"10.1109\/3dv.2019.00081","type":"proceedings-article","created":{"date-parts":[[2019,10,31]],"date-time":"2019-10-31T19:53:20Z","timestamp":1572551600000},"page":"690-699","source":"Crossref","is-referenced-by-count":68,"title":["Spherical View Synthesis for Self-Supervised 360\u00b0 Depth Estimation"],"prefix":"10.1109","author":[{"given":"Nikolaos","family":"Zioulis","sequence":"first","affiliation":[]},{"given":"Antonis","family":"Karakottas","sequence":"additional","affiliation":[]},{"given":"Dimitrios","family":"Zarpalas","sequence":"additional","affiliation":[]},{"given":"Federico","family":"Alvarez","sequence":"additional","affiliation":[]},{"given":"Petros","family":"Daras","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_19"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_43"},{"key":"ref33","first-page":"746","article-title":"Indoor segmentation and support inference from rgbd images","author":"silberman","year":"2012","journal-title":"European Conference on Computer Vision"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/2983402.2983406"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.132"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/BF03024331"},{"article-title":"Kernel transformer networks for compact spherical convolution","year":"2018","author":"su","key":"ref37"},{"key":"ref36","first-page":"529","article-title":"Learning spherical convolution for fast features from 360 imagery","author":"su","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.28"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/VCIP.2017.8305083"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11015-4_27"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_48"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2019.00226"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2017.00081"},{"article-title":"Joint 2D-3D-Semantic Data for Indoor Scene Understanding","year":"2017","author":"armeni","key":"ref1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93000-8_36"},{"journal-title":"Proceedings of International Conference on Learning Representations","article-title":"Adaptive gradient methods with dynamic bound of learning rate","year":"2019","author":"luo","key":"ref22"},{"key":"ref21","first-page":"9605","article-title":"An intriguing failing of convolutional neural networks and the coordconv solution","author":"liu","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2018.05.005"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00594"},{"journal-title":"Proc NIPS Autodiff Workshop","article-title":"Automatic differentiation in PyTorch","year":"2017","author":"paszke","key":"ref26"},{"journal-title":"Proceedings of the 27th International Conference on Machine Learning (ICML-10)","first-page":"807","year":"2010","author":"nair","key":"ref25"},{"key":"ref10","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"glorot","year":"2010","journal-title":"Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.699"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00216"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_38"},{"key":"ref13","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"International Conference on Machine Learning"},{"key":"ref14","first-page":"2017","article-title":"Spatial transformer networks","author":"jaderberg","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref15","first-page":"694","article-title":"Perceptual losses for real-time style transfer and super-resolution","author":"johnson","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref16","first-page":"869","article-title":"Graph-based classification of omnidirectional images","author":"khasanova","year":"2017","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0616-1"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.32"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"589","DOI":"10.1109\/TITS.2008.2006736","article-title":"Binocular spherical stereo","volume":"9","author":"li","year":"2008","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"article-title":"Spherical cnns","year":"2018","author":"cohen","key":"ref4"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00154"},{"key":"ref6","first-page":"2366","article-title":"Depth map prediction from a single image using a multi-scale deep network","author":"eigen","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_32"},{"article-title":"Corners for layout: End-to-end layout recovery from 360 images","year":"2019","author":"fernandez-labrador","key":"ref8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_4"},{"key":"ref49","first-page":"448","article-title":"Omnidepth: Dense depth estimation for indoors spherical panoramas","author":"zioulis","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref9","first-page":"740","article-title":"Unsupervised cnn for single view depth estimation: Geometry to the rescue","author":"garg","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_30"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.537"},{"key":"ref48","first-page":"22","article-title":"Omnidirectional stereo vision","author":"zhu","year":"2001","journal-title":"Proceedings of the Workshop on Omnidirectional Vision ICAR"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.700"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8463173"},{"journal-title":"CoRR","article-title":"Self-supervised learning of depth and camera motion from 360 videos","year":"2018","author":"wang","key":"ref41"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00043"},{"journal-title":"Proceedings of the IEEE Con Ference on Computer Vision and Pattern Recognition","article-title":"Single view stereo matching","year":"2018","author":"l","key":"ref43"}],"event":{"name":"2019 International Conference on 3D Vision (3DV)","start":{"date-parts":[[2019,9,16]]},"location":"Qu\u00e9bec City, QC, Canada","end":{"date-parts":[[2019,9,19]]}},"container-title":["2019 International Conference on 3D Vision (3DV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8882741\/8885410\/08885706.pdf?arnumber=8885706","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T10:46:43Z","timestamp":1658141203000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8885706\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9]]},"references-count":49,"URL":"https:\/\/doi.org\/10.1109\/3dv.2019.00081","relation":{},"subject":[],"published":{"date-parts":[[2019,9]]}}}
