Machine Learning Systems: Publications
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[1]
"Gabor filter based image representation for object classification."
Gianluca. Rizvi S.T.H.; Cabodi Gianpiero; P. B. de Gusmao Pedro; Francini
2016.
Details about "Gabor filter based image representation for object classification." | BibTeX data for "Gabor filter based image representation for object classification." | DOI (10.1109/CoDIT.2016.7593635)
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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]
DeepTIO: A Deep Thermal−Inertial Odometry with Visual Hallucination
M.R.U. Saputra P.P.B. de Gusmao C.X. Lu Y. Almalioglu S. Rosa C. Chen J. Wahlstrom W. Wang A. Markham and N. Trigoni
In IEEE Robotics and Automation Letters (RAL) + IEEE ICRA. 2020.
Details about DeepTIO: A Deep Thermal−Inertial Odometry with Visual Hallucination | BibTeX data for DeepTIO: A Deep Thermal−Inertial Odometry with Visual Hallucination | Download (pdf) of DeepTIO: A Deep Thermal−Inertial Odometry with Visual Hallucination
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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]
Demo Abstract: Automatic Face Recognition Adaptation via Ambient Wireless Identifiers
Chris Xiaoxuan Lu‚ Peijun Zhao‚ Bowen Du‚ Hongkai Wen‚ Andrew Markham‚ Stefano Rosa and Niki Trignoni
In Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems (SenSys). 2018.
Details about Demo Abstract: Automatic Face Recognition Adaptation via Ambient Wireless Identifiers | BibTeX data for Demo Abstract: Automatic Face Recognition Adaptation via Ambient Wireless Identifiers | Download (pdf) of Demo Abstract: Automatic Face Recognition Adaptation via Ambient Wireless Identifiers
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[6]
Distilling Knowledge From a Deep Pose Regressor Network
Muhamad Risqi U. Saputra Pedro P. B. de Gusmao Yasin Almalioglu Andrew Markham and Niki Trigoni
In IEEE/CVF International Conference on Computer Vision (ICCV). 2019.
Details about Distilling Knowledge From a Deep Pose Regressor Network | BibTeX data for Distilling Knowledge From a Deep Pose Regressor Network | Download of Distilling Knowledge From a Deep Pose Regressor Network
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[7]
GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks
Y. Almalioglu M. R. U. Saputra P. P. de Gusmao A. Markham and N. Trigoni
In IEEE International Conference on Robotics and Automation (ICRA). 2019.
Details about GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks | BibTeX data for GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks | Download (pdf) of GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks
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[8]
IONet: Learning to Cure the Curse of Drift in Inertial Odometry
Changhao Chen‚ Chris Xiaoxuan Lu‚ Andrew Markham and Niki Trigoni
In The Thirty−Second AAAI Conference on Artificial Intelligence (AAAI−18). 2018.
Details about IONet: Learning to Cure the Curse of Drift in Inertial Odometry | BibTeX data for IONet: Learning to Cure the Curse of Drift in Inertial Odometry | Download (pdf) of IONet: Learning to Cure the Curse of Drift in Inertial Odometry
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[9]
Learning Monocular Visual Odometry through Geometry−Aware Curriculum Learning
Muhamad Risqi U. Saputra Pedro P. B. de Gusmao Sen Wang Andrew Markham and Niki Trigoni
In IEEE International Conference on Robotics and Automation (ICRA). 2019.
Details about Learning Monocular Visual Odometry through Geometry−Aware Curriculum Learning | BibTeX data for Learning Monocular Visual Odometry through Geometry−Aware Curriculum Learning | Download (pdf) of Learning Monocular Visual Odometry through Geometry−Aware Curriculum Learning
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[10]
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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[11]
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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[12]
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
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[13]
VidLoc: A Deep Spatio−Temporal Model for 6−DoF Video−Clip Relocalization
Ronald Clark‚ Sen Wang‚ Andrew Markham‚ Niki Trigoni and Hongkai Wen
In Computer Vision and Pattern Recognition (CVPR). 2017.
Details about VidLoc: A Deep Spatio−Temporal Model for 6−DoF Video−Clip Relocalization | BibTeX data for VidLoc: A Deep Spatio−Temporal Model for 6−DoF Video−Clip Relocalization | Download (pdf) of VidLoc: A Deep Spatio−Temporal Model for 6−DoF Video−Clip Relocalization