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ORCIDMing Xu 0015
Person information
- affiliation: Queensland University of Technology, School of Electrical Engineering and Robotics, Brisbane, Australia
- affiliation (2016 - 2018): University of New South Wales, Business School, Sydney, Australia
Other persons with the same name
- Ming Xu — disambiguation page
- Ming Xu 0001
![[0000-0001-9332-5258]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9332-5258")
— Hangzhou Dianzi University, School of Cyberspace, School of Computer Science and Technology, Internet and Network Security Laboratory, China (and 1 more) - Ming Xu 0002 — National University of Defense Technology, College of Computer, Changsha, China (and 1 more)
- Ming Xu 0003 — Beihang University, School of Astronautics, Department of Aerospace Engineering, Beijing, China
- Ming Xu 0004 — University of Michigan, School of Natural Resources and Environment, Ann Arbor, MI, USA
- Ming Xu 0005 — Tongji University, Department of Computer Science and Technology, Shanghai, China (and 2 more)
- Ming Xu 0006 — Fudan University, Software School, Shanghai Key Laboratory of Data Science, China
- Ming Xu 0007 — Northeastern University, School of Information Science and Engineering, Shenyang, China
- Ming Xu 0008 — Tsinghua University, Research Institute of Information Technology, Beijing, China (and 1 more)
- Ming Xu 0009 — Shanghai Maritime University, College of Information Engineering, Department of Computer Science, China
- Ming Xu 0010 — East China Normal University, School of Software Engineering, Department of Computer Science and Technology, Shanghai Key Laboratory of Trustworthy Computing, Shanghai, China
- Ming Xu 0011 — University of Liverpool, Department of Electrical Engineering and Electronics, UK (and 5 more)
- Ming Xu 0012 — Minzu University, School of Preparatory Education, Key Laboratory of Information Materials of Sichuan Province, Chengdu, China
- Ming Xu 0013 — NingboTech University, Institute of Automation and Electrical Engineering, Ningbo, China (and 1 more)
- Ming Xu 0014 — Nanjing University, Department of Computer Science and Technology, National Key Laboratory for Novel Software Technology, Nanjing, China
- Ming Xu 0016 — Nanjing University of Aeronautics and Astronautics, College of Electronic and Information Engineering, Nanjing, China
- Ming Xu 0017 — University of Wisconsin-Milwaukee, Department of Computer Science, Milwaukee, WI, USA
- Ming Xu 0018 — Guizhou University of Finance and Economics, School of Mathematics and Statistics, Guizhou Key Laboratory of Big Data Statistical Analysis, Guiyang, China
- Ming Xu 0019 — National University of Defense Technology, College of Electronic Science, Changsha, China
- Ming Xu 0020 — Ocean University of China, College of Marine Technology, Qingdao, China
- Ming Xu 0021 — Future Cities Laboratory, Singapore
- Ming Xu 0022 — National University of Defense Technology, College of Intelligence Science and Technology, Department of Automation, Changsha, China (and 1 more)
- Ming Xu 0023 — Wuhan University, Department of Philosophy, Wuhan, China (and 3 more)
- Ming Xu 0024 — Fudan University, School of Microelectronics, State Key Laboratory of ASIC and System, Shanghai, China
- Ming Xu 0025 — Shenzhen University, School of Electronic and Information Engineering, China
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2020 – today
- 2024
[c6]Ahmad Khaliq, Ming Xu, Stephen Hausler, Michael Milford, Sourav Garg:
VLAD-BuFF: Burst-Aware Fast Feature Aggregation for Visual Place Recognition. ECCV (44) 2024: 447-466- [i9]Ahmad Khaliq, Ming Xu, Stephen Hausler, Michael Milford, Sourav Garg:
VLAD-BuFF: Burst-aware Fast Feature Aggregation for Visual Place Recognition. CoRR abs/2409.19293 (2024) - 2023
- [c5]Ming Xu, Sourav Garg, Michael Milford, Stephen Gould:
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths. ICLR 2023 - [i8]Ming Xu, Sourav Garg, Michael Milford, Stephen Gould:
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths. CoRR abs/2303.10778 (2023) - 2022
- [j6]Connor Malone, Sourav Garg, Ming Xu, Thierry Peynot, Michael Milford:
Improving Road Segmentation in Challenging Domains Using Similar Place Priors. IEEE Robotics Autom. Lett. 7(2): 3555-3562 (2022) - [j5]Stephen Hausler, Ming Xu, Sourav Garg, Punarjay Chakravarty, Shubham Shrivastava, Ankit Vora, Michael Milford:
Improving Worst Case Visual Localization Coverage via Place-Specific Sub-Selection in Multi-Camera Systems. IEEE Robotics Autom. Lett. 7(4): 10112-10119 (2022) - [c4]Krishan Rana, Ming Xu, Brendan Tidd, Michael Milford, Niko Sünderhauf:
Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics. CoRL 2022: 2095-2104 - [i7]Connor Malone, Sourav Garg, Ming Xu, Thierry Peynot, Michael Milford:
Improving Road Segmentation in Challenging Domains Using Similar Place Priors. CoRR abs/2205.14112 (2022) - [i6]Stephen Hausler, Ming Xu, Sourav Garg, Punarjay Chakravarty, Shubham Shrivastava, Ankit Vora, Michael Milford:
Improving Worst Case Visual Localization Coverage via Place-specific Sub-selection in Multi-camera Systems. CoRR abs/2206.13883 (2022) - [i5]Krishan Rana, Ming Xu, Brendan Tidd, Michael Milford, Niko Sünderhauf:
Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics. CoRR abs/2211.02231 (2022) - 2021
- [j4]Ming Xu, Niko Sünderhauf, Michael Milford:
Probabilistic Visual Place Recognition for Hierarchical Localization. IEEE Robotics Autom. Lett. 6(1): 311-318 (2021) - [j3]James Mount, Ming Xu, Les Dawes, Michael Milford:
Unsupervised Selection of Optimal Operating Parameters for Visual Place Recognition Algorithms Using Gaussian Mixture Models. IEEE Robotics Autom. Lett. 6(1): 343-350 (2021) - [j2]Ming Xu, Niko Sünderhauf, Michael Milford:
Corrections to "Probabilistic Visual Place Recognition for Hierarchical Localization". IEEE Robotics Autom. Lett. 6(3): 6139 (2021) - [j1]Ming Xu, Tobias Fischer, Niko Sünderhauf, Michael Milford:
Probabilistic Appearance-Invariant Topometric Localization With New Place Awareness. IEEE Robotics Autom. Lett. 6(4): 6985-6992 (2021) - [c3]Stephen Hausler, Sourav Garg, Ming Xu, Michael Milford, Tobias Fischer:
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition. CVPR 2021: 14141-14152 - [i4]Stephen Hausler, Sourav Garg, Ming Xu, Michael Milford, Tobias Fischer:
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition. CoRR abs/2103.01486 (2021) - [i3]Ming Xu, Niko Sünderhauf, Michael Milford:
Probabilistic Visual Place Recognition for Hierarchical Localization. CoRR abs/2105.03091 (2021) - [i2]Ming Xu, Tobias Fischer, Niko Sünderhauf, Michael Milford:
Probabilistic Appearance-Invariant Topometric Localization with New Place Awareness. CoRR abs/2107.07707 (2021)
2010 – 2019
- 2019
- [c2]Ming Xu, Matias Quiroz, Robert Kohn, Scott A. Sisson:
Variance reduction properties of the reparameterization trick. AISTATS 2019: 2711-2720 - [c1]Huu Le, Ming Xu, Tuan Hoang, Michael Milford:
Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage Cost. ICCV 2019: 9823-9832 - 2018
- [i1]Ming Xu, Matias Quiroz, Robert Kohn, Scott A. Sisson:
On some variance reduction properties of the reparameterization trick. CoRR abs/1809.10330 (2018)
Coauthor Index
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