| LSTM-based zero-velocity detection for robust inertial navigation B Wagstaff, J Kelly 2018 International Conference on Indoor Positioning and Indoor Navigation …, 2018 | 143 | 2018 |
| Improving foot-mounted inertial navigation through real-time motion classification B Wagstaff, V Peretroukhin, J Kelly 2017 International Conference on Indoor Positioning and Indoor Navigation …, 2017 | 72 | 2017 |
| Robust data-driven zero-velocity detection for foot-mounted inertial navigation B Wagstaff, V Peretroukhin, J Kelly IEEE Sensors Journal 20 (2), 957-967, 2019 | 65 | 2019 |
| Learned camera gain and exposure control for improved visual feature detection and matching J Tomasi, B Wagstaff, SL Waslander, J Kelly IEEE Robotics and Automation Letters 6 (2), 2028-2035, 2021 | 34 | 2021 |
| Self-supervised deep pose corrections for robust visual odometry B Wagstaff, V Peretroukhin, J Kelly 2020 IEEE International Conference on Robotics and Automation (ICRA), 2331-2337, 2020 | 27 | 2020 |
| Self-supervised scale recovery for monocular depth and egomotion estimation B Wagstaff, J Kelly 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 25 | 2021 |
| Deep Probabilistic Regression of Elements of SO (3) using Quaternion Averaging and Uncertainty Injection. V Peretroukhin, B Wagstaff, J Kelly CVPR Workshops, 83-86, 2019 | 17 | 2019 |
| Probabilistic regression of rotations using quaternion averaging and a deep multi-headed network V Peretroukhin, B Wagstaff, M Giamou, J Kelly arXiv preprint arXiv:1904.03182, 2019 | 13 | 2019 |
| A self-supervised, differentiable Kalman filter for uncertainty-aware visual-inertial odometry B Wagstaff, E Wise, J Kelly 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics …, 2022 | 11 | 2022 |
| Electroluminescence of Zn2GeO4: Mn through SiC whisker electric field enhancement B Wagstaff, A Kitai Journal of Luminescence 167, 310-315, 2015 | 10 | 2015 |
| Capsule robot pose and mechanism state detection in ultrasound using attention-based hierarchical deep learning X Liu, D Esser, B Wagstaff, A Zavodni, N Matsuura, J Kelly, E Diller Scientific Reports 12 (1), 21130, 2022 | 8 | 2022 |
| On the coupling of depth and egomotion networks for self-supervised structure from motion B Wagstaff, V Peretroukhin, J Kelly IEEE Robotics and Automation Letters 7 (3), 6766-6773, 2022 | 7 | 2022 |
| Self-supervised pre-training of 3d point cloud networks with image data A Janda, B Wagstaff, EG Ng, J Kelly arXiv preprint arXiv:2211.11801, 2022 | 6 | 2022 |
| Heteroscedastic uncertainty for robust generative latent dynamics O Limoyo, B Chan, F Marić, B Wagstaff, AR Mahmood, J Kelly IEEE Robotics and Automation Letters 5 (4), 6654-6661, 2020 | 6 | 2020 |
| Contrastive learning for self-supervised pre-training of point cloud segmentation networks with image data A Janda, B Wagstaff, EG Ng, J Kelly 2023 20th Conference on Robots and Vision (CRV), 145-152, 2023 | 3 | 2023 |
| Self-supervised structure-from-motion through tightly-coupled depth and egomotion networks B Wagstaff, V Peretroukhin, J Kelly arXiv preprint arXiv:2106.04007 7, 2021 | 2 | 2021 |
| Data-Driven Models for Robust Egomotion Estimation B Wagstaff University of Toronto (Canada), 2023 | 1 | 2023 |
