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Brandon Wagstaff
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2020 – today
- 2023
- [c7]Andrej Janda, Brandon Wagstaff, Edwin G. Ng, Jonathan Kelly:
Contrastive Learning for Self-Supervised Pre-Training of Point Cloud Segmentation Networks With Image Data. CRV 2023: 145-152 - [i12]Andrej Janda, Brandon Wagstaff, Edwin G. Ng, Jonathan Kelly:
Contrastive Learning for Self-Supervised Pre-Training of Point Cloud Segmentation Networks With Image Data. CoRR abs/2301.07283 (2023) - 2022
- [j3]Brandon Wagstaff
, Valentin Peretroukhin
On the Coupling of Depth and Egomotion Networks for Self-Supervised Structure from Motion. IEEE Robotics Autom. Lett. 7(3): 6766-6773 (2022) - [c6]Brandon Wagstaff, Emmett Wise, Jonathan Kelly:
A Self-Supervised, Differentiable Kalman Filter for Uncertainty-Aware Visual-Inertial Odometry. AIM 2022: 1388-1395 - [i11]Brandon Wagstaff, Emmett Wise, Jonathan Kelly:
A Self-Supervised, Differentiable Kalman Filter for Uncertainty-Aware Visual-Inertial Odometry. CoRR abs/2203.07207 (2022) - [i10]Andrej Janda, Brandon Wagstaff, Edwin G. Ng, Jonathan Kelly:
Self-Supervised Pre-training of 3D Point Cloud Networks with Image Data. CoRR abs/2211.11801 (2022) - 2021
- [j2]Justin Tomasi
Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching. IEEE Robotics Autom. Lett. 6(2): 2028-2035 (2021) - [c5]Brandon Wagstaff, Jonathan Kelly:
Self-Supervised Scale Recovery for Monocular Depth and Egomotion Estimation. IROS 2021: 2620-2627 - [i9]Justin Tomasi, Brandon Wagstaff, Steven L. Waslander, Jonathan Kelly:
Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching. CoRR abs/2102.04341 (2021) - [i8]Brandon Wagstaff, Valentin Peretroukhin, Jonathan Kelly:
Self-Supervised Structure-from-Motion through Tightly-Coupled Depth and Egomotion Networks. CoRR abs/2106.04007 (2021) - 2020
- [j1]Oliver Limoyo
Heteroscedastic Uncertainty for Robust Generative Latent Dynamics. IEEE Robotics Autom. Lett. 5(4): 6654-6661 (2020) - [c4]Brandon Wagstaff, Valentin Peretroukhin, Jonathan Kelly:
Self-Supervised Deep Pose Corrections for Robust Visual Odometry. ICRA 2020: 2331-2337 - [i7]Brandon Wagstaff, Valentin Peretroukhin, Jonathan Kelly:
Self-Supervised Deep Pose Corrections for Robust Visual Odometry. CoRR abs/2002.12339 (2020) - [i6]Oliver Limoyo, Bryan Chan, Filip Maric, Brandon Wagstaff, A. Rupam Mahmood, Jonathan Kelly:
Heteroscedastic Uncertainty for Robust Generative Latent Dynamics. CoRR abs/2008.08157 (2020) - [i5]Brandon Wagstaff, Jonathan Kelly:
Self-Supervised Scale Recovery for Monocular Depth and Egomotion Estimation. CoRR abs/2009.03787 (2020)
2010 – 2019
- 2019
- [c3]Valentin Peretroukhin, Brandon Wagstaff, Jonathan Kelly:
Deep Probabilistic Regression of Elements of SO(3) using Quaternion Averaging and Uncertainty Injection. CVPR Workshops 2019: 83-86 - [i4]Valentin Peretroukhin, Brandon Wagstaff, Matthew Giamou, Jonathan Kelly:
Probabilistic Regression of Rotations using Quaternion Averaging and a Deep Multi-Headed Network. CoRR abs/1904.03182 (2019) - [i3]Brandon Wagstaff, Valentin Peretroukhin, Jonathan Kelly:
Robust Data-Driven Zero-Velocity Detection for Foot-Mounted Inertial Navigation. CoRR abs/1910.00529 (2019) - 2018
- [c2]Brandon Wagstaff, Jonathan Kelly:
LSTM-Based Zero-Velocity Detection for Robust Inertial Navigation. IPIN 2018: 1-8 - [i2]Brandon Wagstaff, Jonathan Kelly:
LSTM-Based Zero-Velocity Detection for Robust Inertial Navigation. CoRR abs/1807.05275 (2018) - 2017
- [c1]Brandon Wagstaff, Valentin Peretroukhin, Jonathan Kelly:
Improving foot-mounted inertial navigation through real-time motion classification. IPIN 2017: 1-8 - [i1]Brandon Wagstaff, Valentin Peretroukhin, Jonathan Kelly:
Improving Foot-Mounted Inertial Navigation Through Real-Time Motion Classification. CoRR abs/1707.01152 (2017)
Coauthor Index
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