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P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching


Mar 01, 2021
Bing Wang, Changhao Chen, Zhaopeng Cui, Jie Qin, Chris Xiaoxuan Lu, Zhengdi Yu, Peijun Zhao, Zhen Dong, Fan Zhu, Niki Trigoni, Andrew Markham


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A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence


Jun 29, 2020
Changhao Chen, Bing Wang, Chris Xiaoxuan Lu, Niki Trigoni, Andrew Markham

* 26 pages, 10 figures. Project website: https://github.com/changhao-chen/deep-learning-localization-mapping 

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milliEgo: mmWave Aided Egomotion Estimation with Deep Sensor Fusion


Jun 03, 2020
Chris Xiaoxuan Lu, Muhamad Risqi U. Saputra, Peijun Zhao, Yasin Almalioglu, Pedro P. B. de Gusmao, Changhao Chen, Ke Sun, Niki Trigoni, Andrew Markham

* 11 pages 

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MVLoc: Multimodal Variational Geometry-Aware Learning for Visual Localization


Mar 12, 2020
Rui Zhou, Changhao Chen, Bing Wang, Andrew Markham, Niki Trigoni


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PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization


Mar 05, 2020
Wei Wang, Bing Wang, Peijun Zhao, Changhao Chen, Ronald Clark, Bo Yang, Andrew Markham, Niki Trigoni


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Deep Learning based Pedestrian Inertial Navigation: Methods, Dataset and On-Device Inference


Jan 13, 2020
Changhao Chen, Peijun Zhao, Chris Xiaoxuan Lu, Wei Wang, Andrew Markham, Niki Trigoni

* Accepted to IEEE Internet of Things Journal 

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SelectFusion: A Generic Framework to Selectively Learn Multisensory Fusion


Dec 30, 2019
Changhao Chen, Stefano Rosa, Chris Xiaoxuan Lu, Niki Trigoni, Andrew Markham

* An extended journal version of arXiv:1903.01534 (CVPR 2019) 

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DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network


Oct 13, 2019
Wei Wang, Muhamad Risqi U. Saputra, Peijun Zhao, Pedro Gusmao, Bo Yang, Changhao Chen, Andrew Markham, Niki Trigoni

* To appear in IROS 2019 

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DeepTIO: A Deep Thermal-Inertial Odometry with Visual Hallucination


Sep 16, 2019
Muhamad Risqi U. Saputra, Pedro P. B. de Gusmao, Chris Xiaoxuan Lu, Yasin Almalioglu, Stefano Rosa, Changhao Chen, Johan Wahlström, Wei Wang, Andrew Markham, Niki Trigoni

* Submitted to IEEE RAL + ICRA 2020 

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AtLoc: Attention Guided Camera Localization


Sep 08, 2019
Bing Wang, Changhao Chen, Chris Xiaoxuan Lu, Peijun Zhao, Niki Trigoni, Andrew Markham


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Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues


Aug 14, 2019
Chris Xiaoxuan Lu, Xuan Kan, Bowen Du, Changhao Chen, Hongkai Wen, Andrew Markham, Niki Trigoni, John Stankovic

* 11 pages, accepted in the Web Conference (WWW'2019) 

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DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction


Aug 11, 2019
Changhao Chen, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham


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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

* Accepted by CVPR 2019 

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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

* A short version is accepted by the NIPS 2018 workshop: Infer2Control 

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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

* NIPS 2018 workshop on Modeling the Physical World: Perception, Learning, and Control. A complete version will be released soon 

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


Jan 30, 2018
Changhao Chen, Xiaoxuan Lu, Andrew Markham, Niki Trigoni

* To appear in AAAI18 (Oral) 

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