Ming Xu

Orcid: 0000-0002-6478-0582

Affiliations:

Queensland University of Technology, School of Electrical Engineering and Robotics, Brisbane, Australia
University of New South Wales, Business School, Sydney, Australia (2016 - 2018)

According to our database¹, Ming Xu authored at least 12 papers between 2018 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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Other

Bibliography

2023

Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Improving Road Segmentation in Challenging Domains Using Similar Place Priors.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Improving Worst Case Visual Localization Coverage via Place-Specific Sub-Selection in Multi-Camera Systems.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

2021

Probabilistic Appearance-Invariant Topometric Localization With New Place Awareness.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., October, 2021

Corrections to "Probabilistic Visual Place Recognition for Hierarchical Localization".

[BibT_eX]

[DOI]

Ming Xu

Niko Sünderhauf

Michael Milford

IEEE Robotics Autom. Lett., 2021

Probabilistic Visual Place Recognition for Hierarchical Localization.

[BibT_eX]

[DOI]

Ming Xu

Niko Sünderhauf

Michael Milford

IEEE Robotics Autom. Lett., 2021

Unsupervised Selection of Optimal Operating Parameters for Visual Place Recognition Algorithms Using Gaussian Mixture Models.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019

Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage Cost.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Variance reduction properties of the reparameterization trick.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

On some variance reduction properties of the reparameterization trick.

[BibT_eX]

[DOI]

CoRR, 2018

Ming Xu

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