Toward Practical Monocular Indoor Depth Estimation

Toward Practical Monocular Indoor Depth Estimation

4 December 2021

Cho-Ying Wu

Ulrich Neumann

Papers citing "Toward Practical Monocular Indoor Depth Estimation"

18 / 68 papers shown

Title
Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation Dan Xu Wei Wang Hao Tang Hong Liu N. Sebe Elisa Ricci MDE 47 306 0 29 Mar 2018
Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries Junjie Hu Mete Ozay Yan Zhang Takayuki Okatani 3DV 83 376 0 23 Mar 2018
Matterport3D: Learning from RGB-D Data in Indoor Environments Angel X. Chang Angela Dai Thomas Funkhouser Maciej Halber Matthias Nießner Manolis Savva Shuran Song Andy Zeng Yinda Zhang 3DV 3DPC 183 1,900 0 18 Sep 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Alex Kendall Y. Gal R. Cipolla 3DH 272 3,122 0 19 May 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 354 4,705 0 15 Mar 2017
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer Sergey Zagoruyko N. Komodakis 118 2,579 0 12 Dec 2016
Unsupervised Monocular Depth Estimation with Left-Right Consistency Clément Godard Oisin Mac Aodha Gabriel J. Brostow MDE 142 2,885 0 13 Sep 2016
Deeper Depth Prediction with Fully Convolutional Residual Networks Iro Laina Christian Rupprecht Vasileios Belagiannis Federico Tombari Nassir Navab 3DV MDE 406 1,827 0 01 Jun 2016
Virtual Worlds as Proxy for Multi-Object Tracking Analysis Adrien Gaidon Qiao Wang Yohann Cabon E. Vig 77 1,073 0 20 May 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 1.1K 11,609 0 06 Apr 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation N. Mayer Eddy Ilg Philip Häusser Philipp Fischer Daniel Cremers Alexey Dosovitskiy Thomas Brox 3DPC 61 2,644 0 07 Dec 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 353 19,643 0 09 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 305 3,883 0 19 Dec 2014
Deep Convolutional Neural Fields for Depth Estimation from a Single Image Fayao Liu Chunhua Shen Guosheng Lin MDE 178 891 0 24 Nov 2014
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture David Eigen Rob Fergus VLM MDE 207 2,680 0 18 Nov 2014
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network David Eigen Christian Puhrsch Rob Fergus MDE 3DPC 3DV 217 4,056 0 09 Jun 2014