Brandon Wagstaff

22 papers A* 1A 1C 2Journal 15Unranked 3

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	Contrastive Learning for Self-Supervised Pre-Training of Point Cloud Segmentation Networks With Image Data. CRV Andrej Janda, Brandon Wagstaff, Edwin G. Ng, Jonathan Kelly
2023	J	`jnl`	Contrastive Learning for Self-Supervised Pre-Training of Point Cloud Segmentation Networks With Image Data. CoRR Andrej Janda, Brandon Wagstaff, Edwin G. Ng, Jonathan Kelly
2022	—	`conf`	A Self-Supervised, Differentiable Kalman Filter for Uncertainty-Aware Visual-Inertial Odometry. AIM Brandon Wagstaff, Emmett Wise, Jonathan Kelly
2022	J	`jnl`	A Self-Supervised, Differentiable Kalman Filter for Uncertainty-Aware Visual-Inertial Odometry. CoRR Brandon Wagstaff, Emmett Wise, Jonathan Kelly
2022	J	`jnl`	On the Coupling of Depth and Egomotion Networks for Self-Supervised Structure from Motion. IEEE Robotics Autom. Lett. Brandon Wagstaff, Valentin Peretroukhin, Jonathan Kelly
2022	J	`jnl`	Self-Supervised Pre-training of 3D Point Cloud Networks with Image Data. CoRR Andrej Janda, Brandon Wagstaff, Edwin G. Ng, Jonathan Kelly
2021	J	`jnl`	Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching. CoRR Justin Tomasi, Brandon Wagstaff, Steven L. Waslander, Jonathan Kelly
2021	J	`jnl`	Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching. IEEE Robotics Autom. Lett. Justin Tomasi, Brandon Wagstaff, Steven L. Waslander, Jonathan Kelly
2021	A	`conf`	Self-Supervised Scale Recovery for Monocular Depth and Egomotion Estimation. IROS Brandon Wagstaff, Jonathan Kelly
2021	J	`jnl`	Self-Supervised Structure-from-Motion through Tightly-Coupled Depth and Egomotion Networks. CoRR Brandon Wagstaff, Valentin Peretroukhin, Jonathan Kelly
2020	J	`jnl`	Heteroscedastic Uncertainty for Robust Generative Latent Dynamics. CoRR Oliver Limoyo, Bryan Chan, Filip Maric, Brandon Wagstaff, A. Rupam Mahmood, Jonathan Kelly
2020	J	`jnl`	Heteroscedastic Uncertainty for Robust Generative Latent Dynamics. IEEE Robotics Autom. Lett. Oliver Limoyo, Bryan Chan, Filip Maric, Brandon Wagstaff, A. Rupam Mahmood, Jonathan Kelly
2020	A*	`conf`	Self-Supervised Deep Pose Corrections for Robust Visual Odometry. ICRA Brandon Wagstaff, Valentin Peretroukhin, Jonathan Kelly
2020	J	`jnl`	Self-Supervised Deep Pose Corrections for Robust Visual Odometry. CoRR Brandon Wagstaff, Valentin Peretroukhin, Jonathan Kelly
2020	J	`jnl`	Self-Supervised Scale Recovery for Monocular Depth and Egomotion Estimation. CoRR Brandon Wagstaff, Jonathan Kelly
2019	—	`conf`	Deep Probabilistic Regression of Elements of SO(3) using Quaternion Averaging and Uncertainty Injection. CVPR Workshops Valentin Peretroukhin, Brandon Wagstaff, Jonathan Kelly
2019	J	`jnl`	Probabilistic Regression of Rotations using Quaternion Averaging and a Deep Multi-Headed Network. CoRR Valentin Peretroukhin, Brandon Wagstaff, Matthew Giamou, Jonathan Kelly
2019	J	`jnl`	Robust Data-Driven Zero-Velocity Detection for Foot-Mounted Inertial Navigation. CoRR Brandon Wagstaff, Valentin Peretroukhin, Jonathan Kelly
2018	C	`conf`	LSTM-Based Zero-Velocity Detection for Robust Inertial Navigation. IPIN Brandon Wagstaff, Jonathan Kelly
2018	J	`jnl`	LSTM-Based Zero-Velocity Detection for Robust Inertial Navigation. CoRR Brandon Wagstaff, Jonathan Kelly
2017	J	`jnl`	Improving Foot-Mounted Inertial Navigation Through Real-Time Motion Classification. CoRR Brandon Wagstaff, Valentin Peretroukhin, Jonathan Kelly
2017	C	`conf`	Improving foot-mounted inertial navigation through real-time motion classification. IPIN Brandon Wagstaff, Valentin Peretroukhin, Jonathan Kelly