Patch-netvlad: Multi-scale fusion of locally-global descriptors for place recognition S Hausler, S Garg, M Xu, M Milford, T Fischer Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 332 | 2021 |
Variance reduction properties of the reparameterization trick M Xu, M Quiroz, R Kohn, SA Sisson The 22nd international conference on artificial intelligence and statistics …, 2019 | 70 | 2019 |
Residual skill policies: Learning an adaptable skill-based action space for reinforcement learning for robotics K Rana, M Xu, B Tidd, M Milford, N Sünderhauf Conference on Robot Learning, 2095-2104, 2023 | 21 | 2023 |
Probabilistic Visual Place Recognition for Hierarchical Localization M Xu, N Sunderhauf, M Milford IEEE Robotics and Automation Letters (RA-L), 2020 | 19 | 2020 |
Richer priors for infinitely wide multi-layer perceptrons R Tsuchida, F Roosta, M Gallagher arXiv preprint arXiv:1911.12927, 2019 | 12 | 2019 |
Probabilistic appearance-invariant topometric localization with new place awareness M Xu, T Fischer, N Sünderhauf, M Milford IEEE Robotics and Automation Letters 6 (4), 6985-6992, 2021 | 11 | 2021 |
Improving worst case visual localization coverage via place-specific sub-selection in multi-camera systems S Hausler, M Xu, S Garg, P Chakravarty, S Shrivastava, A Vora, M Milford IEEE Robotics and Automation Letters 7 (4), 10112-10119, 2022 | 8 | 2022 |
Unsupervised selection of optimal operating parameters for visual place recognition algorithms using Gaussian mixture models J Mount, M Xu, L Dawes, M Milford IEEE Robotics and Automation Letters 6 (2), 343-350, 2020 | 7 | 2020 |
Improving road segmentation in challenging domains using similar place priors C Malone, S Garg, M Xu, T Peynot, M Milford IEEE Robotics and Automation Letters 7 (2), 3555-3562, 2022 | 4 | 2022 |
Revisiting implicit differentiation for learning problems in optimal control M Xu, TL Molloy, S Gould Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths M Xu, S Garg, M Milford, S Gould International Conference on Learning Representations, 2023 | 2 | 2023 |
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection Q Zhao, M Xu, K Gupta, A Asthana, L Zheng, S Gould arXiv preprint arXiv:2402.00865, 2024 | | 2024 |
Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation M Xu, S Gould Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
Towards Understanding Gradient Approximation in Equality Constrained Deep Declarative Networks S Gould, M Xu, Z Xu, Y Liu arXiv preprint arXiv:2306.14054, 2023 | | 2023 |
Corrections to “Probabilistic Visual Place Recognition for Hierarchical Localization” M Xu, N Sunderhauf, M Milford IEEE Robotics and Automation Letters 6 (3), 6139, 2021 | | 2021 |
Hierarchical Encoding of Sequential Data with Compact and Sub-linear Storage Cost H Le, M Xu, T Hoang, M Milford Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | | 2019 |
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition< Supplementary Material S Hausler, S Garg, M Xu, M Milford, T Fischer Recall 80, 90, 0 | | |