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Histogram Layers for Texture Analysis accepted to IEEE TAI, 2021!

December 24, 2021

Congratulations to our labmates and collaborators: Joshua Peeples, Weihuang Xu, and Alina Zare! Their paper, “Histogram Layers for Texture Analysis”, was recently accepted to IEEE Transactions on Artificial Intelligence, 2021. In the paper, the authors present a localized histogram layer for artificial neural networks. Instead of computing global histograms as done previously, the proposed histogram […]

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RANDCROWNS accepted to IEEE JSTARS, 2021!

November 19, 2021

Congratulations to our labmates and collaborators: Dylan Stewart, Alina Zare, Sergio Marconi, Ben Weinstein, Ethan White, Sarah Grave, Stephanie Bohlman and Aditya Singh! Their paper, “RANDCROWNS: A Quantitative Metric for Imprecisely Labeled Tree Crown Delineation”, was recently accepted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021. In the paper, […]

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