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04/25/2023
Self-Supervised Temporal Analysis of Spatiotemporal Data
There exists a correlation between geospatial activity temporal patterns...
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10/07/2022
Scalable Self-Supervised Representation Learning from Spatiotemporal Motion Trajectories for Multimodal Computer Vision
Self-supervised representation learning techniques utilize large dataset...
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10/24/2021
Reachability Embeddings: Scalable Self-Supervised Representation Learning from Markovian Trajectories for Geospatial Computer Vision
Self-supervised representation learning techniques utilize large dataset...
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09/11/2021
Conditional Generation of Synthetic Geospatial Images from Pixel-level and Feature-level Inputs
Training robust supervised deep learning models for many geospatial appl...
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06/21/2021
Trinity: A No-Code AI platform for complex spatial datasets
We present a no-code Artificial Intelligence (AI) platform called Trinit...
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12/08/2020
VAE-Info-cGAN: Generating Synthetic Images by Combining Pixel-level and Feature-level Geospatial Conditional Inputs
Training robust supervised deep learning models for many geospatial appl...
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02/14/2019
GeoGAN: A Conditional GAN with Reconstruction and Style Loss to Generate Standard Layer of Maps from Satellite Images
Automatically generating maps from satellite images is an important task...
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02/13/2019
Predicting US State-Level Agricultural Sentiment as a Measure of Food Security with Tweets from Farming Communities
The ability to obtain accurate food security metrics in developing areas...
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02/13/2019
Predicting Food Security Outcomes Using Convolutional Neural Networks (CNNs) for Satellite Tasking
Obtaining reliable data describing local Food Security Metrics (FSM) at ...
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03/31/2017