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