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Learning models for visual 3D localization with implicit mapping

Learning models for visual 3D localization with implicit mapping

4 July 2018
Dan Rosenbaum
F. Besse
Fabio Viola
Danilo Jimenez Rezende
S. M. Ali Eslami
ArXivPDFHTML

Papers citing "Learning models for visual 3D localization with implicit mapping"

26 / 26 papers shown
Title
BA-Net: Dense Bundle Adjustment Network
BA-Net: Dense Bundle Adjustment Network
Chengzhou Tang
P. Tan
3DV
55
289
0
13 Jun 2018
CodeSLAM - Learning a Compact, Optimisable Representation for Dense
  Visual SLAM
CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM
Michael Bloesch
J. Czarnowski
R. Clark
Stefan Leutenegger
Andrew J. Davison
MDE
3DH
63
373
0
03 Apr 2018
Unsupervised Predictive Memory in a Goal-Directed Agent
Unsupervised Predictive Memory in a Goal-Directed Agent
Greg Wayne
Chia-Chun Hung
David Amos
M. Berk Mirza
Arun Ahuja
...
David Silver
Koray Kavukcuoglu
M. Botvinick
Demis Hassabis
Timothy Lillicrap
75
191
0
28 Mar 2018
Emergence of grid-like representations by training recurrent neural
  networks to perform spatial localization
Emergence of grid-like representations by training recurrent neural networks to perform spatial localization
Christopher J. Cueva
Xue-Xin Wei
43
216
0
21 Mar 2018
Semi-parametric Topological Memory for Navigation
Semi-parametric Topological Memory for Navigation
Nikolay Savinov
Alexey Dosovitskiy
V. Koltun
66
382
0
01 Mar 2018
Global Pose Estimation with an Attention-based Recurrent Network
Global Pose Estimation with an Attention-based Recurrent Network
Emilio Parisotto
Devendra Singh Chaplot
Jian Zhang
Ruslan Salakhutdinov
45
70
0
19 Feb 2018
Multi-view Consistency as Supervisory Signal for Learning Shape and Pose
  Prediction
Multi-view Consistency as Supervisory Signal for Learning Shape and Pose Prediction
Shubham Tulsiani
Alexei A. Efros
Jitendra Malik
3DV
53
205
0
11 Jan 2018
Unifying Map and Landmark Based Representations for Visual Navigation
Unifying Map and Landmark Based Representations for Visual Navigation
Saurabh Gupta
David Fouhey
Sergey Levine
Jitendra Malik
60
76
0
21 Dec 2017
MINOS: Multimodal Indoor Simulator for Navigation in Complex
  Environments
MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments
Manolis Savva
Angel X. Chang
Alexey Dosovitskiy
Thomas Funkhouser
V. Koltun
75
247
0
11 Dec 2017
Few-shot Autoregressive Density Estimation: Towards Learning to Learn
  Distributions
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions
Scott E. Reed
Yutian Chen
T. Paine
Aaron van den Oord
S. M. Ali Eslami
Danilo Jimenez Rezende
Oriol Vinyals
Nando de Freitas
84
88
0
27 Oct 2017
Generic 3D Representation via Pose Estimation and Matching
Generic 3D Representation via Pose Estimation and Matching
Amir Zamir
T. Wekel
Pulkit Agrawal
Colin Wei
Jitendra Malik
Silvio Savarese
3DV
47
94
0
23 Oct 2017
Matterport3D: Learning from RGB-D Data in Indoor Environments
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
157
1,893
0
18 Sep 2017
Neural SLAM: Learning to Explore with External Memory
Neural SLAM: Learning to Explore with External Memory
Jingwei Zhang
L. Tai
Ming-Yuan Liu
Joschka Boedecker
Wolfram Burgard
77
71
0
29 Jun 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
Neural Map: Structured Memory for Deep Reinforcement Learning
Neural Map: Structured Memory for Deep Reinforcement Learning
Emilio Parisotto
Ruslan Salakhutdinov
71
259
0
27 Feb 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
Cognitive Mapping and Planning for Visual Navigation
Cognitive Mapping and Planning for Visual Navigation
Saurabh Gupta
Varun Tolani
James Davidson
Sergey Levine
Rahul Sukthankar
Jitendra Malik
78
713
0
13 Feb 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
Semantic Scene Completion from a Single Depth Image
Semantic Scene Completion from a Single Depth Image
Shuran Song
Feng Yu
Andy Zeng
Angel X. Chang
Manolis Savva
Thomas Funkhouser
3DV
73
1,241
0
28 Nov 2016
Image-based localization using LSTMs for structured feature correlation
Image-based localization using LSTMs for structured feature correlation
F. Walch
C. Hazirbas
Laura Leal-Taixé
Torsten Sattler
S. Hilsenbeck
Daniel Cremers
68
496
0
23 Nov 2016
Learning to Navigate in Complex Environments
Learning to Navigate in Complex Environments
Piotr Wojciech Mirowski
Razvan Pascanu
Fabio Viola
Hubert Soyer
Andy Ballard
...
Ross Goroshin
Laurent Sifre
Koray Kavukcuoglu
D. Kumaran
R. Hadsell
91
880
0
11 Nov 2016
SemanticFusion: Dense 3D Semantic Mapping with Convolutional Neural
  Networks
SemanticFusion: Dense 3D Semantic Mapping with Convolutional Neural Networks
J. McCormac
Ankur Handa
Andrew J. Davison
Stefan Leutenegger
3DPC
57
555
0
16 Sep 2016
Past, Present, and Future of Simultaneous Localization And Mapping:
  Towards the Robust-Perception Age
Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age
Cesar Cadena
Luca Carlone
Henry Carrillo
Yasir Latif
Davide Scaramuzza
José Neira
Ian Reid
J. Leonard
98
2,912
0
19 Jun 2016
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
333
7,313
0
13 Jun 2016
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
6,376
0
03 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.4K
149,842
0
22 Dec 2014
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