67 citations · 297 across the 34 of their papers we have counts for
6 papers · 1 filter
Challenges in Disentangling Independent Factors of Variation
Attila Szabó, Qiyang Hu, Tiziano Portenier +2
We study the problem of building models that disentangle independent factors of variation. Such models could be used to encode features that can efficiently be used for classificat…
Disentangling Factors of Variation by Mixing Them
Qiyang Hu, Attila Szabó, Tiziano Portenier +2
We propose an approach to learn image representations that consist of disentangled factors of variation without exploiting any manual labeling or data domain knowledge. A factor of…
Deep Mean-Shift Priors for Image Restoration
Siavash Arjomand Bigdeli, Meiguang Jin, Paolo Favaro +1
In this paper we introduce a natural image prior that directly represents a Gaussian-smoothed version of the natural image distribution. We include our prior in a formulation of im…
Reflection Separation and Deblurring of Plenoptic Images
Paramanand Chandramouli, Mehdi Noroozi, Paolo Favaro
In this paper, we address the problem of reflection removal and deblurring from a single image captured by a plenoptic camera. We develop a two-stage approach to recover the scene…
Representation Learning by Learning to Count
Mehdi Noroozi, Hamed Pirsiavash, Paolo Favaro
We introduce a novel method for representation learning that uses an artificial supervision signal based on counting visual primitives. This supervision signal is obtained from an…
Motion Deblurring in the Wild
Mehdi Noroozi, Paramanand Chandramouli, Paolo Favaro
The task of image deblurring is a very ill-posed problem as both the image and the blur are unknown. Moreover, when pictures are taken in the wild, this task becomes even more chal…