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12/14/2022
Generative Robust Classification
Training adversarially robust discriminative (i.e., softmax) classifier ...
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04/30/2022
End-to-End Signal Classification in Signed Cumulative Distribution Transform Space
This paper presents a new end-to-end signal classification method using ...
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02/22/2022
Local Sliced-Wasserstein Feature Sets for Illumination-invariant Face Recognition
We present a new method for face recognition from digital images acquire...
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01/09/2022
Invariance encoding in sliced-Wasserstein space for image classification with limited training data
Deep convolutional neural networks (CNNs) are broadly considered to be s...
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12/11/2020
Analyzing and Improving Generative Adversarial Training for Generative Modeling and Out-of-Distribution Detection
Generative adversarial training (GAT) is a recently introduced adversari...
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04/07/2020
Radon cumulative distribution transform subspace modeling for image classification
We present a new supervised image classification method for problems whe...
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07/04/2019
Neural Networks, Hypersurfaces, and Radon Transforms
Connections between integration along hypersufaces, Radon transforms, an...
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05/27/2019
Divide-and-Conquer Adversarial Detection
The vulnerabilities of deep neural networks against adversarial examples...
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12/10/2018
Chat-crowd: A Dialog-based Platform for Visual Layout Composition
In this paper we introduce Chat-crowd, an interactive environment for vi...
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12/07/2018
Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase
We present a practical method for protecting data during the inference p...
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07/22/2017
OBJ2TEXT: Generating Visually Descriptive Language from Object Layouts
Generating captions for images is a task that has recently received cons...
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01/11/2013