{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T19:01:10Z","timestamp":1790535670620,"version":"4.1.0"},"reference-count":23,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,10]]},"DOI":"10.1109\/icip.2018.8451408","type":"proceedings-article","created":{"date-parts":[[2018,9,7]],"date-time":"2018-09-07T17:59:22Z","timestamp":1536343162000},"page":"2940-2944","source":"Crossref","is-referenced-by-count":15,"title":["Deep Multi-Scale Architectures for Monocular Depth Estimation"],"prefix":"10.1109","author":[{"given":"M.","family":"Moukari","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S.","family":"Picard","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"L.","family":"Simon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"F.","family":"Jurie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Deep convolutional neural fields for depth estimation from a single image","author":"fayao","year":"2015","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref11","article-title":"Depth and surface normal estimation from monocular images using regression on deep features and hierarchical crfs","author":"bo","year":"2015","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref12","article-title":"Monocular depth estimation using neural regression forest","author":"anirban","year":"2016","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref13","article-title":"Depth from a single image by harmonizing overcomplete local network predictions","author":"chakrabarti","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.32"},{"key":"ref15","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":"ref16","article-title":"Feature pyramid networks for object detection","author":"tsung-yi","year":"2017","journal-title":"The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref17","article-title":"Rethinking atrous convolution for semantic image segmentation","author":"liang-chieh","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref18","article-title":"Deep residual learning for image recognition","author":"kaiming","year":"2016","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref19","first-page":"636","article-title":"Dilated residual networks","author":"fisher","year":"2017","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/699"},{"key":"ref3","article-title":"Per-ceiving distance accurately by a directional process of integrating ground information","author":"bing","year":"2004","journal-title":"Nature"},{"key":"ref6","article-title":"Depth map prediction from a single image using a multi-scale deep network","author":"david","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref5","article-title":"Deep Deconvolutional Networks for Scene Parsing","author":"rahul","year":"2014","journal-title":"ArXiv"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298897"},{"key":"ref7","article-title":"Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture","author":"david","year":"2015","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref2","article-title":"High speed obstacle avoidance using monocular vision and reinforcement learning","author":"jeff","year":"2005","journal-title":"ACM ICM"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/SMBV.2001.988771"},{"key":"ref9","article-title":"Learning depth from single monocular images using deep convolutional neural fields","author":"fayao","year":"2016","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"ref20","article-title":"Empirical evaluation of rectified activations in convolutional network","author":"bing","year":"2015","journal-title":"ArXiv Preprint"},{"key":"ref22","author":"jun","year":"0","journal-title":"A two-streamed network for estimating fine-scaled depth maps from single rgb images"},{"key":"ref21","article-title":"Indoor segmentation and support inference from rgbd images","author":"pushmeet","year":"2012","journal-title":"European Conference on Computer Vision"},{"key":"ref23","article-title":"Es-timating depth from monocular images as classification using deep fully convolutional residual networks","author":"yuanzhouhan","year":"2017","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"}],"event":{"name":"2018 25th IEEE International Conference on Image Processing (ICIP)","location":"Athens","start":{"date-parts":[[2018,10,7]]},"end":{"date-parts":[[2018,10,10]]}},"container-title":["2018 25th IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8436606\/8451009\/08451408.pdf?arnumber=8451408","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T08:33:46Z","timestamp":1643186026000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8451408\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/icip.2018.8451408","relation":{},"subject":[],"published":{"date-parts":[[2018,10]]}}}