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EMPNet: Neural Localisation and Mapping Using Embedded Memory Points

EMPNet: Neural Localisation and Mapping Using Embedded Memory Points

31 July 2019
Gil Avraham
Yan Zuo
Thanuja Dharmasiri
Tom Drummond
ArXivPDFHTML

Papers citing "EMPNet: Neural Localisation and Mapping Using Embedded Memory Points"

29 / 29 papers shown
Title
Traversing Latent Space using Decision Ferns
Traversing Latent Space using Decision Ferns
Yan Zuo
Gil Avraham
Tom Drummond
24
4
0
06 Dec 2018
DeepTAM: Deep Tracking and Mapping
DeepTAM: Deep Tracking and Mapping
Huizhong Zhou
Benjamin Ummenhofer
Thomas Brox
3DV
75
228
0
06 Aug 2018
CReaM: Condensed Real-time Models for Depth Prediction using
  Convolutional Neural Networks
CReaM: Condensed Real-time Models for Depth Prediction using Convolutional Neural Networks
Andrew Spek
Thanuja Dharmasiri
Tom Drummond
57
18
0
24 Jul 2018
ENG: End-to-end Neural Geometry for Robust Depth and Pose Estimation
  using CNNs
ENG: End-to-end Neural Geometry for Robust Depth and Pose Estimation using CNNs
Thanuja Dharmasiri
Andrew Spek
Tom Drummond
3DV
MDE
56
16
0
16 Jul 2018
Just-in-Time Reconstruction: Inpainting Sparse Maps using Single View
  Depth Predictors as Priors
Just-in-Time Reconstruction: Inpainting Sparse Maps using Single View Depth Predictors as Priors
C. Weerasekera
Thanuja Dharmasiri
Ravi Garg
Tom Drummond
Ian Reid
63
27
0
11 May 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
69
373
0
03 Apr 2018
Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using
  3D Geometric Constraints
Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints
R. Mahjourian
Martin Wicke
A. Angelova
MDE
96
729
0
15 Feb 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
69
782
0
25 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
79
71
0
29 Jun 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
352
27,195
0
20 Mar 2017
Neural Map: Structured Memory for Deep Reinforcement Learning
Neural Map: Structured Memory for Deep Reinforcement Learning
Emilio Parisotto
Ruslan Salakhutdinov
71
260
0
27 Feb 2017
A Dataset for Developing and Benchmarking Active Vision
A Dataset for Developing and Benchmarking Active Vision
Phil Ammirato
Patrick Poirson
Eunbyung Park
Jana Kosecka
Alexander C. Berg
VLM
ObjD
118
186
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
52
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
86
714
0
13 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
48
349
0
29 Jan 2017
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
251
18,232
0
02 Jun 2016
Deep Predictive Coding Networks for Video Prediction and Unsupervised
  Learning
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
William Lotter
Gabriel Kreiman
David D. Cox
SSL
88
930
0
25 May 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
741
37,846
0
20 May 2016
ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement
  Learning
ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning
Michal Kempka
Marek Wydmuch
Grzegorz Runc
Jakub Toczek
Wojciech Ja'skowski
63
697
0
06 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
502
62,270
0
04 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.8K
77,133
0
18 May 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
303
25,051
0
30 Apr 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,305
0
11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
323
18,613
0
06 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
116
6,394
0
03 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,348
0
04 Sep 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
230
4,056
0
09 Jun 2014
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