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04/29/2023
Modality-invariant Visual Odometry for Embodied Vision
Effectively localizing an agent in a realistic, noisy setting is crucial...
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research
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04/04/2022
MultiMAE: Multi-modal Multi-task Masked Autoencoders
We propose a pre-training strategy called Multi-modal Multi-task Masked ...
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10/11/2021
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans
This paper introduces a pipeline to parametrically sample and render mul...
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02/25/2020
Training Binary Neural Networks using the Bayesian Learning Rule
Neural networks with binary weights are computation-efficient and hardwa...
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08/30/2019
