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A Deeper Insight into the UnDEMoN: Unsupervised Deep Network for Depth
  and Ego-Motion Estimation

A Deeper Insight into the UnDEMoN: Unsupervised Deep Network for Depth and Ego-Motion Estimation

27 August 2018
V. Babu
A. Majumder
K. Das
S. Kumar
    MDE
ArXivPDFHTML

Papers citing "A Deeper Insight into the UnDEMoN: Unsupervised Deep Network for Depth and Ego-Motion Estimation"

15 / 15 papers shown
Title
Depth Estimation Based on 3D Gaussian Splatting Siamese Defocus
Depth Estimation Based on 3D Gaussian Splatting Siamese Defocus
Jinchang Zhang
Ningning Xu
Hao Zhang
Guoyu Lu
MDE
56
0
0
18 Sep 2024
DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent
  Convolutional Neural Networks
DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks
Sen Wang
R. Clark
Hongkai Wen
A. Trigoni
46
781
0
25 Sep 2017
UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning
UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning
Ruihao Li
Sen Wang
Zhiqiang Long
Dongbing Gu
MDE
54
511
0
20 Sep 2017
Unsupervised Learning of Depth and Ego-Motion from Video
Unsupervised Learning of Depth and Ego-Motion from Video
Tinghui Zhou
Matthew A. Brown
Noah Snavely
D. Lowe
MDE
110
2,564
0
25 Apr 2017
CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction
CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction
Keisuke Tateno
Federico Tombari
Iro Laina
Nassir Navab
MDE
57
680
0
11 Apr 2017
VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning
  Problem
VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem
R. Clark
Sen Wang
Hongkai Wen
Andrew Markham
A. Trigoni
46
348
0
29 Jan 2017
DeMoN: Depth and Motion Network for Learning Monocular Stereo
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
82
701
0
07 Dec 2016
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Clément Godard
Oisin Mac Aodha
Gabriel J. Brostow
MDE
106
2,875
0
13 Sep 2016
Unsupervised CNN for Single View Depth Estimation: Geometry to the
  Rescue
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue
Ravi Garg
B. V. Kumar
G. Carneiro
Ian Reid
3DV
MDE
87
1,528
0
16 Mar 2016
A Large Dataset to Train Convolutional Networks for Disparity, Optical
  Flow, and Scene Flow Estimation
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
55
2,625
0
07 Dec 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
274
7,361
0
05 Jun 2015
Learning Depth from Single Monocular Images Using Deep Convolutional
  Neural Fields
Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields
Fayao Liu
Chunhua Shen
Guosheng Lin
Ian Reid
MDE
111
1,196
0
26 Feb 2015
ORB-SLAM: a Versatile and Accurate Monocular SLAM System
ORB-SLAM: a Versatile and Accurate Monocular SLAM System
Raul Mur-Artal
José M.M. Montiel
Juan D. Tardós
78
6,364
0
03 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.0K
149,474
0
22 Dec 2014
Depth Map Prediction from a Single Image using a Multi-Scale Deep
  Network
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
David Eigen
Christian Puhrsch
Rob Fergus
MDE
3DPC
3DV
166
4,041
0
09 Jun 2014
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