Ming Xu

33 papers A* 6A 1B 2Misc 1Journal 21Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Flexible Geometric Guidance for Probabilistic Human Pose Estimation with Diffusion Models.
CoRR
Francis Snelgar, Ming Xu, Stephen Gould, Liang Zheng, Akshay Asthana
2026 J jnl
Gromov Wasserstein Optimal Transport for Semantic Correspondences.
CoRR
Francis Snelgar, Stephen Gould, Ming Xu, Liang Zheng, Akshay Asthana
2025 A* conf
Can We Predict Performance of Large Models across Vision-Language Tasks?
ICML
Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould
2025 B conf
Context-Dependent Anomaly Action Recognition.
FG
Nutthadech Banditakkarakul, Ming Xu, Bo Chen, Akshay Asthana, Liang Zheng, Stephen Gould
2025 J jnl
DiSA: Diffusion Step Annealing in Autoregressive Image Generation.
CoRR
Qinyu Zhao, Jaskirat Singh, Ming Xu, Akshay Asthana, Stephen Gould, Liang Zheng
2025 B conf
Flexible Geometric Guidance for Probabilistic Human Pose Estimation with Diffusion Models.
FG
Francis Snelgar, Ming Xu, Stephen Gould, Liang Zheng, Akshay Asthana
2024 J jnl
Can We Predict Performance of Large Models across Vision-Language Tasks?
CoRR
Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould
2024 A* conf
Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation.
CVPR
Ming Xu, Stephen Gould
2024 — conf
The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?
ECCV (48)
Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould
2024 J jnl
The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?
CoRR
Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould
2024 A* conf
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection.
ICLR
Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould
2024 J jnl
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection.
CoRR
Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould
2024 — conf
VLAD-BuFF: Burst-Aware Fast Feature Aggregation for Visual Place Recognition.
ECCV (44)
Ahmad Khaliq, Ming Xu, Stephen Hausler, Michael Milford, Sourav Garg
2024 J jnl
VLAD-BuFF: Burst-aware Fast Feature Aggregation for Visual Place Recognition.
CoRR
Ahmad Khaliq, Ming Xu, Stephen Hausler, Michael Milford, Sourav Garg
2023 A* conf
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths.
ICLR
Ming Xu, Sourav Garg, Michael Milford, Stephen Gould
2023 J jnl
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths.
CoRR
Ming Xu, Sourav Garg, Michael Milford, Stephen Gould
2022 J jnl
Improving Road Segmentation in Challenging Domains Using Similar Place Priors.
CoRR
Connor Malone, Sourav Garg, Ming Xu, Thierry Peynot, Michael Milford
2022 J jnl
Improving Road Segmentation in Challenging Domains Using Similar Place Priors.
IEEE Robotics Autom. Lett.
Connor Malone, Sourav Garg, Ming Xu, Thierry Peynot, Michael Milford
2022 J jnl
Improving Worst Case Visual Localization Coverage via Place-Specific Sub-Selection in Multi-Camera Systems.
IEEE Robotics Autom. Lett.
Stephen Hausler, Ming Xu, Sourav Garg, Punarjay Chakravarty, Shubham Shrivastava, Ankit Vora, Michael Milford
2022 J jnl
Improving Worst Case Visual Localization Coverage via Place-specific Sub-selection in Multi-camera Systems.
CoRR
Stephen Hausler, Ming Xu, Sourav Garg, Punarjay Chakravarty, Shubham Shrivastava, Ankit Vora, Michael Milford
2022 Misc conf
Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics.
CoRL
Krishan Rana, Ming Xu, Brendan Tidd, Michael Milford, Niko Sünderhauf
2022 J jnl
Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics.
CoRR
Krishan Rana, Ming Xu, Brendan Tidd, Michael Milford, Niko Sünderhauf
2021 J jnl
Corrections to "Probabilistic Visual Place Recognition for Hierarchical Localization".
IEEE Robotics Autom. Lett.
Ming Xu, Niko Sünderhauf, Michael Milford
2021 A* conf
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition.
CVPR
Stephen Hausler, Sourav Garg, Ming Xu, Michael Milford, Tobias Fischer
2021 J jnl
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition.
CoRR
Stephen Hausler, Sourav Garg, Ming Xu, Michael Milford, Tobias Fischer
2021 J jnl
Probabilistic Appearance-Invariant Topometric Localization With New Place Awareness.
IEEE Robotics Autom. Lett.
Ming Xu, Tobias Fischer, Niko Sünderhauf, Michael Milford
2021 J jnl
Probabilistic Appearance-Invariant Topometric Localization with New Place Awareness.
CoRR
Ming Xu, Tobias Fischer, Niko Sünderhauf, Michael Milford
2021 J jnl
Probabilistic Visual Place Recognition for Hierarchical Localization.
CoRR
Ming Xu, Niko Sünderhauf, Michael Milford
2021 J jnl
Probabilistic Visual Place Recognition for Hierarchical Localization.
IEEE Robotics Autom. Lett.
Ming Xu, Niko Sünderhauf, Michael Milford
2021 J jnl
Unsupervised Selection of Optimal Operating Parameters for Visual Place Recognition Algorithms Using Gaussian Mixture Models.
IEEE Robotics Autom. Lett.
James Mount, Ming Xu, Les Dawes, Michael Milford
2019 A* conf
Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage Cost.
ICCV
Huu Le, Ming Xu, Tuan Hoang, Michael Milford
2019 A conf
Variance reduction properties of the reparameterization trick.
AISTATS
Ming Xu, Matias Quiroz, Robert Kohn, Scott A. Sisson
2018 J jnl
On some variance reduction properties of the reparameterization trick.
CoRR
Ming Xu, Matias Quiroz, Robert Kohn, Scott A. Sisson