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Brandon Wagstaff

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Contrastive Learning for Self-Supervised Pre-Training of Point Cloud Segmentation Networks With Image Data

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Jan 18, 2023
Andrej Janda, Brandon Wagstaff, Edwin G. Ng, Jonathan Kelly

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Self-Supervised Pre-training of 3D Point Cloud Networks with Image Data

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Dec 13, 2022
Andrej Janda, Brandon Wagstaff, Edwin G. Ng, Jonathan Kelly

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A Self-Supervised, Differentiable Kalman Filter for Uncertainty-Aware Visual-Inertial Odometry

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Mar 14, 2022
Brandon Wagstaff, Emmett Wise, Jonathan Kelly

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Self-Supervised Structure-from-Motion through Tightly-Coupled Depth and Egomotion Networks

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Jun 07, 2021
Brandon Wagstaff, Valentin Peretroukhin, Jonathan Kelly

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Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching

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Feb 28, 2021
Justin Tomasi, Brandon Wagstaff, Steven L. Waslander, Jonathan Kelly

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Self-Supervised Scale Recovery for Monocular Depth and Egomotion Estimation

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Sep 09, 2020
Brandon Wagstaff, Jonathan Kelly

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Heteroscedastic Uncertainty for Robust Generative Latent Dynamics

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Aug 18, 2020
Oliver Limoyo, Bryan Chan, Filip Marić, Brandon Wagstaff, Rupam Mahmood, Jonathan Kelly

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Self-Supervised Deep Pose Corrections for Robust Visual Odometry

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Feb 27, 2020
Brandon Wagstaff, Valentin Peretroukhin, Jonathan Kelly

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Robust Data-Driven Zero-Velocity Detection for Foot-Mounted Inertial Navigation

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Oct 25, 2019
Brandon Wagstaff, Valentin Peretroukhin, Jonathan Kelly

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Probabilistic Regression of Rotations using Quaternion Averaging and a Deep Multi-Headed Network

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Apr 01, 2019
Valentin Peretroukhin, Brandon Wagstaff, Matthew Giamou, Jonathan Kelly

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