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CodeSLAM - Learning a Compact, Optimisable Representation for Dense
  Visual SLAM

CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM

3 April 2018
Michael Bloesch
J. Czarnowski
R. Clark
Stefan Leutenegger
Andrew J. Davison
    MDE
    3DH
ArXivPDFHTML

Papers citing "CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM"

22 / 22 papers shown
Title
Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction
Bo Sun
Hao Kang
Li Guan
Haoxiang Li
Philippos Mordohai
Gang Hua
96
1
0
28 Jan 2025
SceneFactory: A Workflow-centric and Unified Framework for Incremental Scene Modeling
SceneFactory: A Workflow-centric and Unified Framework for Incremental Scene Modeling
Yijun Yuan
M. Bleier
Andreas Nüchter
80
0
0
13 May 2024
How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey
How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey
Fabio Tosi
Youming Zhang
Ziren Gong
Erik Sandström
S. Mattoccia
Martin R. Oswald
Matteo Poggi
3DGS
125
60
0
20 Feb 2024
Weakly Supervised Generative Network for Multiple 3D Human Pose
  Hypotheses
Weakly Supervised Generative Network for Multiple 3D Human Pose Hypotheses
Chen Li
Gim Hee Lee
3DH
79
31
0
13 Aug 2020
FutureMapping 2: Gaussian Belief Propagation for Spatial AI
FutureMapping 2: Gaussian Belief Propagation for Spatial AI
Andrew J. Davison
Joseph Ortiz
138
45
0
30 Oct 2019
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera
  Pose
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose
Zhichao Yin
Jianping Shi
MDE
41
1,141
0
06 Mar 2018
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
67
781
0
25 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
114
2,571
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
76
683
0
11 Apr 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDL
OOD
UD
UQCV
PER
342
4,700
0
15 Mar 2017
VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization
VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization
R. Clark
Sen Wang
Andrew Markham
A. Trigoni
Hongkai Wen
49
227
0
21 Feb 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
95
701
0
07 Dec 2016
Direct Sparse Odometry
Direct Sparse Odometry
Jakob Engel
V. Koltun
Daniel Cremers
78
2,519
0
09 Jul 2016
A Primer on the Differential Calculus of 3D Orientations
A Primer on the Differential Calculus of 3D Orientations
Michael Bloesch
H. Sommer
Tristan Laidlow
M. Burri
Gabriel Nützi
...
Dario Bellicoso
Christian Gehring
Stefan Leutenegger
Marco Hutter
Roland Siegwart
55
57
0
16 Jun 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
112
1,529
0
16 Mar 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.7K
76,917
0
18 May 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
92
6,386
0
03 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.6K
149,842
0
22 Dec 2014
Deep Convolutional Neural Fields for Depth Estimation from a Single
  Image
Deep Convolutional Neural Fields for Depth Estimation from a Single Image
Fayao Liu
Chunhua Shen
Guosheng Lin
MDE
170
890
0
24 Nov 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
206
4,052
0
09 Jun 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
426
16,944
0
20 Dec 2013
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