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05/23/2022
What You See is What You Classify: Black Box Attributions
An important step towards explaining deep image classifiers lies in the ...
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04/16/2021
Uncertainty Surrogates for Deep Learning
In this paper we introduce a novel way of estimating prediction uncertai...
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10/20/2020
Image Obfuscation for Privacy-Preserving Machine Learning
Privacy becomes a crucial issue when outsourcing the training of machine...
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02/02/2019
Self-Binarizing Networks
We present a method to train self-binarizing neural networks, that is, n...
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09/11/2018
Fourier-Domain Optimization for Image Processing
Image optimization problems encompass many applications such as spectral...
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06/26/2018
Deep Feature Factorization For Concept Discovery
We propose Deep Feature Factorization (DFF), a method capable of localiz...
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02/19/2018
Deep Residual Network for Joint Demosaicing and Super-Resolution
In digital photography, two image restoration tasks have been studied ex...
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11/27/2016