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07/30/2023
Motion Degeneracy in Self-supervised Learning of Elevation Angle Estimation for 2D Forward-Looking Sonar
2D forward-looking sonar is a crucial sensor for underwater robotic perc...
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04/17/2023
2D Forward Looking Sonar Simulation with Ground Echo Modeling
Imaging sonar produces clear images in underwater environments, independ...
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07/30/2022
Learning Pseudo Front Depth for 2D Forward-Looking Sonar-based Multi-view Stereo
Retrieving the missing dimension information in acoustic images from 2D ...
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06/22/2021
Continuous-Depth Neural Models for Dynamic Graph Prediction
We introduce the framework of continuous-depth graph neural networks (GN...
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06/08/2021
Neural Hybrid Automata: Learning Dynamics with Multiple Modes and Stochastic Transitions
Effective control and prediction of dynamical systems often require appr...
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06/07/2021
Differentiable Multiple Shooting Layers
We detail a novel class of implicit neural models. Leveraging time-paral...
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06/07/2021
Learning Stochastic Optimal Policies via Gradient Descent
We systematically develop a learning-based treatment of stochastic optim...
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01/17/2021
Stereo Camera Visual SLAM with Hierarchical Masking and Motion-state Classification at Outdoor Construction Sites Containing Large Dynamic Objects
At modern construction sites, utilizing GNSS (Global Navigation Satellit...
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01/14/2021
Optimal Energy Shaping via Neural Approximators
We introduce optimal energy shaping as an enhancement of classical passi...
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09/20/2020
TorchDyn: A Neural Differential Equations Library
Continuous-depth learning has recently emerged as a novel perspective on...
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07/19/2020
Hypersolvers: Toward Fast Continuous-Depth Models
The infinite-depth paradigm pioneered by Neural ODEs has launched a rena...
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07/14/2020
360^∘ Depth Estimation from Multiple Fisheye Images with Origami Crown Representation of Icosahedron
In this study, we present a method for all-around depth estimation from ...
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03/18/2020
Stable Neural Flows
We introduce a provably stable variant of neural ordinary differential e...
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02/19/2020
Dissecting Neural ODEs
Continuous deep learning architectures have recently re-emerged as varia...
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11/18/2019
Graph Neural Ordinary Differential Equations
We extend the framework of graph neural networks (GNN) to continuous tim...
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09/06/2019