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04/25/2023
Segment anything, from space?
Recently, the first foundation model developed specifically for vision t...
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12/24/2022
Meta-Learning for Color-to-Infrared Cross-Modal Style Transfer
Recent object detection models for infrared (IR) imagery are based upon ...
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11/25/2022
Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling
We propose and show the efficacy of a new method to address generic inve...
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09/19/2022
Meta-simulation for the Automated Design of Synthetic Overhead Imagery
The use of synthetic (or simulated) data for training machine learning m...
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08/12/2021
Parameter Tuning of Time-Frequency Masking Algorithms for Reverberant Artifact Removal within the Cochlear Implant Stimulus
Cochlear implant users struggle to understand speech in reverberant envi...
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05/28/2021
Phoneme-Based Ratio Mask Estimation for Reverberant Speech Enhancement in Cochlear Implant Processors
Cochlear implant (CI) users have considerable difficulty in understandin...
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05/28/2021
Assessing the intelligibility of vocoded speech using a remote testing framework
Over the past year, remote speech intelligibility testing has become a p...
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05/06/2021
Evaluating the Effect of Longitudinal Dose and INR Data on Maintenance Warfarin Dose Predictions
Warfarin, a commonly prescribed drug to prevent blood clots, has a highl...
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01/16/2021
GridTracer: Automatic Mapping of Power Grids using Deep Learning and Overhead Imagery
Energy system information valuable for electricity access planning such ...
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06/04/2018
gprHOG: Several Simple Improvements to the Histogram of Oriented Gradients Feature for Threat Detection in Ground-Penetrating Radar
The ground penetrating radar (GPR) is one of the most successful remote ...
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05/30/2018
Dense labeling of large remote sensing imagery with convolutional neural networks: a simple and faster alternative to stitching output label maps
In this work we consider the application of convolutional neural network...
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03/10/2018
A Large-Scale Multi-Institutional Evaluation of Advanced Discrimination Algorithms for Buried Threat Detection in Ground Penetrating Radar
In this paper we consider the development of algorithms for the automati...
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01/11/2018
Application of a semantic segmentation convolutional neural network for accurate automatic detection and mapping of solar photovoltaic arrays in aerial imagery
We consider the problem of automatically detecting small-scale solar pho...
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02/09/2017
A large comparison of feature-based approaches for buried target classification in forward-looking ground-penetrating radar
Forward-looking ground-penetrating radar (FLGPR) has recently been inves...
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12/11/2016