Andrew Markham

According to our database1, Andrew Markham authored at least 72 papers between 2006 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
Learning Monocular Visual Odometry through Geometry-Aware Curriculum Learning.
CoRR, 2019

Selective Sensor Fusion for Neural Visual-Inertial Odometry.
CoRR, 2019

Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues.
Proceedings of the World Wide Web Conference, 2019

2018
Visual SLAM and Structure from Motion in Dynamic Environments: A Survey.
ACM Comput. Surv., 2018

Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning.
CoRR, 2018

Learning with Stochastic Guidance for Navigation.
CoRR, 2018

Transferring Physical Motion Between Domains for Neural Inertial Tracking.
CoRR, 2018

OxIOD: The Dataset for Deep Inertial Odometry.
CoRR, 2018

GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks.
CoRR, 2018

Neural Allocentric Intuitive Physics Prediction from Real Videos.
CoRR, 2018

Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction.
CoRR, 2018

3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations.
CoRR, 2018

Defo-Net: Learning Body Deformation using Generative Adversarial Networks.
CoRR, 2018

Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calculus.
CoRR, 2018

IONet: Learning to Cure the Curse of Drift in Inertial Odometry.
CoRR, 2018

3D Object Dense Reconstruction from a Single Depth View.
CoRR, 2018

Automatic Face Recognition Adaptation via Ambient Wireless Identifiers.
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, SenSys 2018, 2018

Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calculus.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

iMag: Accurate and Rapidly Deployable Inertial Magneto-Inductive Localisation.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

DEFO-NET: Learning Body Deformation Using Generative Adversarial Networks.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Deepauth: in-situ authentication for smartwatches via deeply learned behavioural biometrics.
Proceedings of the 2018 ACM International Symposium on Wearable Computers, 2018

Towards an enterprise architecture controlling framework.
Proceedings of the 12th European Conference on Software Architecture: Companion Proceedings, 2018

Learning 3D Scene Semantics and Structure From a Single Depth Image.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

IONet: Learning to Cure the Curse of Drift in Inertial Odometry.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Tracking People in Highly Dynamic Industrial Environments.
IEEE Trans. Mob. Comput., 2017

Snoopy: Sniffing Your Smartwatch Passwords via Deep Sequence Learning.
IMWUT, 2017

Learning from lions: inferring the utility of agents from their trajectories.
CoRR, 2017

3D Object Reconstruction from a Single Depth View with Adversarial Learning.
CoRR, 2017

Towards Monocular Vision based Obstacle Avoidance through Deep Reinforcement Learning.
CoRR, 2017

VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem.
CoRR, 2017

VidLoc: 6-DoF Video-Clip Relocalization.
CoRR, 2017

Interpreting Lion Behaviour as Probabilistic Programs.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Towards Self-supervised Face Labeling via Cross-modality Association.
Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems, 2017

VeriNet: User Verification on Smartwatches via Behavior Biometrics.
Proceedings of the First ACM Workshop on Mobile Crowdsensing Systems and Applications, 2017

GraphTinker: Outlier rejection and inlier injection for pose graph SLAM.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

SCAN: learning speaker identity from noisy sensor data.
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017

3D Object Reconstruction from a Single Depth View with Adversarial Learning.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Evolutionary Machine Learning for RTS Game StarCraft.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Magnetic Induction-Based Positioning in Distorted Environments.
IEEE Trans. Geoscience and Remote Sensing, 2016

Underground Incrementally Deployed Magneto-Inductive 3-D Positioning Network.
IEEE Trans. Geoscience and Remote Sensing, 2016

Increasing the Efficiency of 6-DoF Visual Localization Using Multi-Modal Sensory Data.
CoRR, 2016

Impact of Rocks and Minerals on Underground Magneto-Inductive Communication and Localization.
IEEE Access, 2016

Increasing the efficiency of 6-DoF visual localization using multi-modal sensory data.
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

2015
Non-Line-of-Sight Identification and Mitigation Using Received Signal Strength.
IEEE Trans. Wireless Communications, 2015

Indoor Tracking Using Undirected Graphical Models.
IEEE Trans. Mob. Comput., 2015

Accuracy Estimation for Sensor Systems.
IEEE Trans. Mob. Comput., 2015

Robust Indoor Positioning With Lifelong Learning.
IEEE Journal on Selected Areas in Communications, 2015

Distortion Rejecting Magneto-Inductive Three-Dimensional Localization (MagLoc).
IEEE Journal on Selected Areas in Communications, 2015

Accurate Positioning via Cross-Modality Training.
Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, 2015

Robust vision-based indoor localization.
Proceedings of the 14th International Conference on Information Processing in Sensor Networks, 2015

2014
Fusion of Radio and Camera Sensor Data for Accurate Indoor Positioning.
Proceedings of the 11th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2014

Lightweight map matching for indoor localisation using conditional random fields.
Proceedings of the IPSN'14, 2014

Robust pedestrian dead reckoning (R-PDR) for arbitrary mobile device placement.
Proceedings of the 2014 International Conference on Indoor Positioning and Indoor Navigation, 2014

2013
Human interactive secure key and identity exchange protocols in body sensor networks.
IET Information Security, 2013

Identification and mitigation of non-line-of-sight conditions using received signal strength.
Proceedings of the 9th IEEE International Conference on Wireless and Mobile Computing, 2013

Comparison of Accuracy Estimation Approaches for Sensor Networks.
Proceedings of the IEEE International Conference on Distributed Computing in Sensor Systems, 2013

2012
WILDSENSING: Design and deployment of a sustainable sensor network for wildlife monitoring.
TOSN, 2012

Human Interactive Secure ID Management in Body Sensor Networks.
JNW, 2012

Magneto-inductive networked rescue system (MINERS): taking sensor networks underground.
Proceedings of the 11th International Conference on Information Processing in Sensor Networks (co-located with CPS Week 2012), 2012

2011
The Automatic Evolution of Distributed Controllers to Configure Sensor Network Operation.
Comput. J., 2011

Body sensor network key distribution using human interactive channels.
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011

2010
Effect of Rainfall on Link Quality in an Outdoor Forest Deployment.
Proceedings of the WINSYS 2010 - Proceedings of the International Conference on Wireless Information Networks and Systems, Athens, Greece, July 26, 2010

Magneto-inductive tracking of underground animals.
Proceedings of the 8th International Conference on Embedded Networked Sensor Systems, 2010

Revealing the hidden lives of underground animals using magneto-inductive tracking.
Proceedings of the 8th International Conference on Embedded Networked Sensor Systems, 2010

Evolution and sustainability of a wildlife monitoring sensor network.
Proceedings of the 8th International Conference on Embedded Networked Sensor Systems, 2010

Discrete Gene Regulatory Networks (dGRNs): A Novel Approach to Configuring Sensor Networks.
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010

2009
Wildlife and environmental monitoring using RFID and WSN technology.
Proceedings of the 7th International Conference on Embedded Networked Sensor Systems, 2009

2006
The adaptive social hierarchy: a self organizing network based on naturally occurring structures.
Proceedings of the 1st International ICST Conference on Bio Inspired Models of Network, 2006


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