Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera

9 January 2019

Papers citing "Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera"

31 / 31 papers shown

Title
FutureDepth: Learning to Predict the Future Improves Video Depth Estimation R. Yasarla Manish Kumar Singh Hong Cai Yunxiao Shi Jisoo Jeong Yinhao Zhu Shizhong Han Risheek Garrepalli Fatih Porikli MDE 191 8 0 17 Jan 2025
MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation R. Yasarla H. Cai Jisoo Jeong Y. Shi Risheek Garrepalli Fatih Porikli MDE 227 17 0 17 Jan 2025
An Overview of Depth Cameras and Range Scanners Based on Time-of-Flight Technologies Radu Horaud M. Hansard Georgios D. Evangelidis C. Ménier 56 260 0 12 Dec 2020
DeepTAM: Deep Tracking and Mapping Huizhong Zhou Benjamin Ummenhofer Thomas Brox 3DV 77 228 0 06 Aug 2018
Learning Blind Video Temporal Consistency Wei-Sheng Lai Jia-Bin Huang Oliver Wang Eli Shechtman Ersin Yumer Ming-Hsuan Yang 93 368 0 01 Aug 2018
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Biwei Huang Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 484 1,731 0 06 Jun 2018
MVSNet: Depth Inference for Unstructured Multi-view Stereo Yao Yao Zixin Luo Shiwei Li Tian Fang Long Quan MDE 3DV 116 1,221 0 07 Apr 2018
CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM Michael Bloesch J. Czarnowski R. Clark Stefan Leutenegger Andrew J. Davison MDE 3DH 71 374 0 03 Apr 2018
DeepMVS: Learning Multi-view Stereopsis Po-Han Huang Kevin Blackburn-Matzen Johannes Kopf Narendra Ahuja Jia-Bin Huang 3DV 90 469 0 02 Apr 2018
Pyramid Stereo Matching Network Jia-Ren Chang Yonghao Chen 3DPC 128 1,509 0 23 Mar 2018
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose Zhichao Yin Jianping Shi MDE 54 1,144 0 06 Mar 2018
Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow Eddy Ilg Özgün Çiçek Silvio Galesso Aaron Klein Osama Makansi Frank Hutter Thomas Brox UQCV 81 223 0 20 Feb 2018
Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints R. Mahjourian Martin Wicke A. Angelova MDE 99 729 0 15 Feb 2018
Learning Depth from Monocular Videos using Direct Methods Chaoyang Wang J. M. Buenaposada Rui Zhu Simon Lucey MDE 93 581 0 01 Dec 2017
Frustum PointNets for 3D Object Detection from RGB-D Data C. Qi Wen Liu Chenxia Wu Hao Su Leonidas Guibas 3DPC 150 2,270 0 22 Nov 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Alex Kendall Y. Gal R. Cipolla 3DH 272 3,123 0 19 May 2017
Unsupervised Learning of Depth and Ego-Motion from Video Tinghui Zhou Matthew A. Brown Noah Snavely D. Lowe MDE 132 2,578 0 25 Apr 2017
CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction Keisuke Tateno Federico Tombari Iro Laina Nassir Navab MDE 84 686 0 11 Apr 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 359 4,718 0 15 Mar 2017
VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization R. Clark Sen Wang Andrew Markham A. Trigoni Hongkai Wen 55 227 0 21 Feb 2017
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes Angela Dai Angel X. Chang Manolis Savva Maciej Halber Thomas Funkhouser Matthias Nießner 3DPC 3DV 481 4,077 0 14 Feb 2017
DeMoN: Depth and Motion Network for Learning Monocular Stereo Benjamin Ummenhofer Huizhong Zhou J. Uhrig N. Mayer Eddy Ilg Alexey Dosovitskiy Thomas Brox 3DV MDE 106 702 0 07 Dec 2016
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras Raul Mur-Artal Juan D. Tardós 347 5,453 0 20 Oct 2016
Unsupervised Monocular Depth Estimation with Left-Right Consistency Clément Godard Oisin Mac Aodha Gabriel J. Brostow MDE 145 2,887 0 13 Sep 2016
Direct Sparse Odometry Jakob Engel V. Koltun Daniel Cremers 86 2,530 0 09 Jul 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 Fast Bilateral Solver Jonathan T. Barron Ben Poole 223 372 0 10 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 831 9,345 0 06 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,260 0 22 Dec 2014
Learning Rich Features from RGB-D Images for Object Detection and Segmentation Saurabh Gupta Ross B. Girshick Pablo Arbeláez Jitendra Malik ObjD 127 1,561 0 22 Jul 2014
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network David Eigen Christian Puhrsch Rob Fergus MDE 3DPC 3DV 239 4,059 0 09 Jun 2014