Brandon Wagstaff
Orcid: 0000-0001-7808-0045
According to our database1,
Brandon Wagstaff
authored at least 14 papers
between 2017 and 2023.
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Bibliography
2023
Contrastive Learning for Self-Supervised Pre-Training of Point Cloud Segmentation Networks With Image Data.
Proceedings of the 20th Conference on Robots and Vision, 2023
2022
On the Coupling of Depth and Egomotion Networks for Self-Supervised Structure from Motion.
IEEE Robotics Autom. Lett., 2022
A Self-Supervised, Differentiable Kalman Filter for Uncertainty-Aware Visual-Inertial Odometry.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2022
2021
Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching.
IEEE Robotics Autom. Lett., 2021
Self-Supervised Structure-from-Motion through Tightly-Coupled Depth and Egomotion Networks.
CoRR, 2021
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
2020
IEEE Robotics Autom. Lett., 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
2019
CoRR, 2019
Probabilistic Regression of Rotations using Quaternion Averaging and a Deep Multi-Headed Network.
CoRR, 2019
Deep Probabilistic Regression of Elements of SO(3) using Quaternion Averaging and Uncertainty Injection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
2018
Proceedings of the 2018 International Conference on Indoor Positioning and Indoor Navigation, 2018
2017
Proceedings of the 2017 International Conference on Indoor Positioning and Indoor Navigation, 2017