Mobile and People-centric Systems and Sensing: Publications
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[1]
Accurate Positioning via Cross Modality Training
S. Papaioannou‚ H. Wen‚ Z. Xiao‚ A. Markham and N. Trigoni
In Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems. Pages 239−251. 2015.
Details about Accurate Positioning via Cross Modality Training | BibTeX data for Accurate Positioning via Cross Modality Training | Download (pdf) of Accurate Positioning via Cross Modality Training
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[2]
Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues
Chris Xiaoxuan Lu‚ Xuan Kan‚ Bowen Du‚ Changhao Chen‚ Hongkai Wen‚ Andrew Markham‚ Niki Trigoni and John Stankovic
In The Web Conference (WWW). 2019.
Details about Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues | BibTeX data for Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues | Download (pdf) of Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues
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[3]
DeepAuth: In−situ Authentication for Smartwatches via Deeply Learned Behavioural Biometrics
Chris Xiaoxuan Lu‚ Bowen Du‚ Peijun Zhao‚ Hongkai Wen‚ Yiran Shen‚ Andrew Markham and Niki Trignoni
In International Symposium on Wearable Computers (ISWC). 2018.
Details about DeepAuth: In−situ Authentication for Smartwatches via Deeply Learned Behavioural Biometrics | BibTeX data for DeepAuth: In−situ Authentication for Smartwatches via Deeply Learned Behavioural Biometrics | Download (pdf) of DeepAuth: In−situ Authentication for Smartwatches via Deeply Learned Behavioural Biometrics
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[4]
DeepVO: Towards End−to−End Visual Odometry with Deep Recurrent Convolutional Neural Networks
S. Wang‚ R. Clark‚ H. Wen and N. Trigoni
In International Conference on Robotics and Automation. 2017.
Details about DeepVO: Towards End−to−End Visual Odometry with Deep Recurrent Convolutional Neural Networks | BibTeX data for DeepVO: Towards End−to−End Visual Odometry with Deep Recurrent Convolutional Neural Networks | Download (pdf) of DeepVO: Towards End−to−End Visual Odometry with Deep Recurrent Convolutional Neural Networks
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[5]
Encounter Based Sensor Tracking
Andrew Symington and Niki Trigoni
In The Thirteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc 2012). June, 2012.
Details about Encounter Based Sensor Tracking | BibTeX data for Encounter Based Sensor Tracking | Download (pdf) of Encounter Based Sensor Tracking | DOI (10.1145/2248371.2248377)
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[6]
Indoor tracking using undirected graphical models
Zhuoling Xiao‚ Hongkai Wen‚ Andrew Markham and Niki Trigoni
In IEEE Transactions on Mobile Computing. Vol. 1. No. 1. Pages PP. 2015.
Details about Indoor tracking using undirected graphical models | BibTeX data for Indoor tracking using undirected graphical models | Download (pdf) of Indoor tracking using undirected graphical models
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[7]
Robot−Assisted Discovery of Evacuation Routes in Emergency Scenarios
Ettore Ferranti and Niki Trigoni
In ICRA08‚ IEEE International Conference on Robotics and Automation. IEEE. May, 2008.
Details about Robot−Assisted Discovery of Evacuation Routes in Emergency Scenarios | BibTeX data for Robot−Assisted Discovery of Evacuation Routes in Emergency Scenarios | Download of Robot−Assisted Discovery of Evacuation Routes in Emergency Scenarios
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[8]
Robust Indoor Positioning with Lifelong Learning
Zhuoling Xiao‚ Hongkai Wen‚ Andrew Markham and Niki Trigoni
In IEEE Journal on Selected Areas in Communications. Vol. PP. No. 99. Pages PP. 2015.
Details about Robust Indoor Positioning with Lifelong Learning | BibTeX data for Robust Indoor Positioning with Lifelong Learning | Download (pdf) of Robust Indoor Positioning with Lifelong Learning
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[9]
Robust Occupancy Inference with Commodity WiFi
Chris Xiaoxuan Lu‚ Hongkai Wen‚ Han Zou‚ Hao Jiang‚ Lihua Xie and Niki Trigoni
In IEEE International Conference on Wireless and Mobile Computing‚ Networking and Communications (WiMob). 2016.
Details about Robust Occupancy Inference with Commodity WiFi | BibTeX data for Robust Occupancy Inference with Commodity WiFi | Download (pdf) of Robust Occupancy Inference with Commodity WiFi
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[10]
Robust pedestrian dead reckoning (R−PDR) for arbitrary mobile device placement
Zhuoling Xiao‚ Hongkai Wen‚ Andrew Markham and Niki Trigoni
In The 5th International Conference on Indoor Positioning and Indoor Navigation. Busan‚ Korea. 2014.
Details about Robust pedestrian dead reckoning (R−PDR) for arbitrary mobile device placement | BibTeX data for Robust pedestrian dead reckoning (R−PDR) for arbitrary mobile device placement | Link to Robust pedestrian dead reckoning (R−PDR) for arbitrary mobile device placement
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[11]
SCAN: Learning Speaker Identity From Noisy Sets of Sensor Data
Chris Xiaoxuan Lu‚ Hongkai Wen‚ Sen Wang‚ Andrew Markham and Niki Trigoni
In ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN). 2017.
Details about SCAN: Learning Speaker Identity From Noisy Sets of Sensor Data | BibTeX data for SCAN: Learning Speaker Identity From Noisy Sets of Sensor Data | Download (pdf) of SCAN: Learning Speaker Identity From Noisy Sets of Sensor Data
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[12]
Simultaneous Localization and Mapping with Power Network Electromagnetic Field
Chris Xiaoxuan Lu‚ Yang Li‚ Peijun Zhao‚ Changhao Chen‚ Linhai Xie‚ Hongkai Wen‚ Rui Tan and Niki Trigoni
In Annual International Conference on Mobile Computing and Networking (MobiCom). 2018.
Details about Simultaneous Localization and Mapping with Power Network Electromagnetic Field | BibTeX data for Simultaneous Localization and Mapping with Power Network Electromagnetic Field | Download slides.key of Simultaneous Localization and Mapping with Power Network Electromagnetic Field | Download [MobiCom2018]emr_slam.pdf of Simultaneous Localization and Mapping with Power Network Electromagnetic Field
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[13]
Snoopy: Sniffing Your Smartwatches Passwords via Deep Sequence Learning
Chris Xiaoxuan Lu‚ Bowen Du‚ Hongkai Wen‚ Sen Wang‚ Andrew Markham‚ Ivan Martinovic‚ Yiran Shen and Niki Trigoni
In ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp). 2018.
Details about Snoopy: Sniffing Your Smartwatches Passwords via Deep Sequence Learning | BibTeX data for Snoopy: Sniffing Your Smartwatches Passwords via Deep Sequence Learning | Download slides.key of Snoopy: Sniffing Your Smartwatches Passwords via Deep Sequence Learning | Download [UbiComp2018]snoopy.pdf of Snoopy: Sniffing Your Smartwatches Passwords via Deep Sequence Learning
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[14]
Tracking People in Highly Dynamic Industrial Environments
S. Papaioannou‚ A. Markham and N. Trigoni
In IEEE Transactions on Mobile Computing (Issue: 99). 2016.
Details about Tracking People in Highly Dynamic Industrial Environments | BibTeX data for Tracking People in Highly Dynamic Industrial Environments | Download (pdf) of Tracking People in Highly Dynamic Industrial Environments
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[15]
VINet: Visual Inertial Odometry as a Sequence to Sequence Learning Problem
R. Clark‚ S. Wang‚ H. Wen‚ A. Markham and N. Trigoni
In AAAI Conference on Artificial Intelligence (AAAI). 2017.
Details about VINet: Visual Inertial Odometry as a Sequence to Sequence Learning Problem | BibTeX data for VINet: Visual Inertial Odometry as a Sequence to Sequence Learning Problem | Download (pdf) of VINet: Visual Inertial Odometry as a Sequence to Sequence Learning Problem