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Andrew Markham

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Learning Monocular Visual Odometry through Geometry-Aware Curriculum Learning

Mar 25, 2019
Muhamad Risqi U. Saputra, Pedro P. B. de Gusmao, Sen Wang, Andrew Markham, Niki Trigoni

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Selective Sensor Fusion for Neural Visual-Inertial Odometry

Mar 04, 2019
Changhao Chen, Stefano Rosa, Yishu Miao, Chris Xiaoxuan Lu, Wei Wu, Andrew Markham, Niki Trigoni

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

Dec 12, 2018
Linhai Xie, Sen Wang, Stefano Rosa, Andrew Markham, Niki Trigoni

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Learning with Stochastic Guidance for Navigation

Nov 27, 2018
Linhai Xie, Yishu Miao, Sen Wang, Phil Blunsom, Zhihua Wang, Changhao Chen, Andrew Markham, Niki Trigoni

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

Oct 24, 2018
Zhihua Wang, Stefano Rosa, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham

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Transferring Physical Motion Between Domains for Neural Inertial Tracking

Oct 04, 2018
Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Phil Blunsom, Andrew Markham, Niki Trigoni

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GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks

Sep 20, 2018
Yasin Almalioglu, Muhamad Risqi U. Saputra, Pedro P. B. de Gusmao, Andrew Markham, Niki Trigoni

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OxIOD: The Dataset for Deep Inertial Odometry

Sep 20, 2018
Changhao Chen, Peijun Zhao, Chris Xiaoxuan Lu, Wei Wang, Andrew Markham, Niki Trigoni

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Neural Allocentric Intuitive Physics Prediction from Real Videos

Sep 17, 2018
Zhihua Wang, Stefano Rosa, Yishu Miao, Zihang Lai, Linhai Xie, Andrew Markham, Niki Trigoni

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Dense 3D Object Reconstruction from a Single Depth View

Aug 23, 2018
Bo Yang, Stefano Rosa, Andrew Markham, Niki Trigoni, Hongkai Wen

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