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01/18/2023
Contrastive Learning for Self-Supervised Pre-Training of Point Cloud Segmentation Networks With Image Data
Reducing the quantity of annotations required for supervised training is...
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11/21/2022
Self-Supervised Pre-training of 3D Point Cloud Networks with Image Data
Reducing the quantity of annotations required for supervised training is...
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03/14/2022
A Self-Supervised, Differentiable Kalman Filter for Uncertainty-Aware Visual-Inertial Odometry
Traditionally, visual-inertial-odometry (VIO) systems rely on filtering ...
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06/07/2021
Self-Supervised Structure-from-Motion through Tightly-Coupled Depth and Egomotion Networks
Much recent literature has formulated structure-from-motion (SfM) as a s...
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02/08/2021
Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching
Successful visual navigation depends upon capturing images that contain ...
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09/08/2020
Self-Supervised Scale Recovery for Monocular Depth and Egomotion Estimation
The self-supervised loss formulation for jointly training depth and egom...
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08/18/2020
Heteroscedastic Uncertainty for Robust Generative Latent Dynamics
Learning or identifying dynamics from a sequence of high-dimensional obs...
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02/27/2020
Self-Supervised Deep Pose Corrections for Robust Visual Odometry
We present a self-supervised deep pose correction (DPC) network that app...
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10/01/2019
Robust Data-Driven Zero-Velocity Detection for Foot-Mounted Inertial Navigation
We present two novel techniques for detecting zero-velocity events to im...
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04/01/2019
Probabilistic Regression of Rotations using Quaternion Averaging and a Deep Multi-Headed Network
Accurate estimates of rotation are crucial to vision-based motion estima...
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07/13/2018