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20182021
most citedEstimating Model Uncertainty of Neural Networks in Sparse Information Form

12 citations · 25 across the 4 of their papers we have counts for

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cs.CV2020★ 5 cited

Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry

Kashmira Shinde, Jongseok Lee, Matthias Humt +2

This paper presents an end-to-end multi-modal learning approach for monocular Visual-Inertial Odometry (VIO), which is specifically designed to exploit sensor complementarity in th…