NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (20)

cs.LG2018

Transferring Physical Motion Between Domains for Neural Inertial Tracking

Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu +3

cs.CV2017

VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem

Ronald Clark, Sen Wang, Hongkai Wen +2

cs.RO2018

Defo-Net: Learning Body Deformation using Generative Adversarial Networks

Zhihua Wang, Stefano Rosa, Linhai Xie +4

cs.RO2018

Learning with Stochastic Guidance for Navigation

Linhai Xie, Yishu Miao, Sen Wang +5

cs.CV2018

Dense 3D Object Reconstruction from a Single Depth View

Bo Yang, Stefano Rosa, Andrew Markham +2

cs.RO2018

Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning

Linhai Xie, Sen Wang, Stefano Rosa +2

cs.AI2017

Learning from lions: inferring the utility of agents from their trajectories

Adam D. Cobb, Andrew Markham, Stephen J. Roberts

cs.NE2018

Neural Allocentric Intuitive Physics Prediction from Real Videos

Zhihua Wang, Stefano Rosa, Yishu Miao +4

physics.geo-ph2016

Impact of Rocks and Minerals on Underground Magneto-Inductive Communication and Localization

Traian E. Abrudan, Orfeas Kypris, Niki Trigoni +1

cs.CV2019

Selective Sensor Fusion for Neural Visual-Inertial Odometry

Changhao Chen, Stefano Rosa, Yishu Miao +4

cs.RO2018

OxIOD: The Dataset for Deep Inertial Odometry

Changhao Chen, Peijun Zhao, Chris Xiaoxuan Lu +3

cs.RO2018

IONet: Learning to Cure the Curse of Drift in Inertial Odometry

Changhao Chen, Xiaoxuan Lu, Andrew Markham +1

cs.MA2018

Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calculus

Adam D. Cobb, Richard Everett, Andrew Markham +1

cs.CV2018

3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations

Zhihua Wang, Stefano Rosa, Bo Yang +3

cs.RO2016

Increasing the Efficiency of 6-DoF Visual Localization Using Multi-Modal Sensory Data

Ronald Clark, Sen Wang, Hongkai Wen +2

cs.CV2019

Distilling Knowledge From a Deep Pose Regressor Network

Muhamad Risqi U. Saputra, Pedro P. B. de Gusmao, Yasin Almalioglu +2

cs.CV2017

VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization

Ronald Clark, Sen Wang, Andrew Markham +2

cs.CV2017

3D Object Reconstruction from a Single Depth View with Adversarial Learning

Bo Yang, Hongkai Wen, Sen Wang +3

eess.SP2019

Zero-Velocity Detection - A Bayesian Approach to Adaptive Thresholding

Johan Wahlström, Isaac Skog, Fredrik Gustafsson +2

cs.RO2017

Towards Monocular Vision based Obstacle Avoidance through Deep Reinforcement Learning

Linhai Xie, Sen Wang, Andrew Markham +1