25 citations · 28 across the 3 of their papers we have counts for
4 papers
Image to Image Translation for Domain Adaptation
Zak Murez, Soheil Kolouri, David Kriegman +2
We propose a general framework for unsupervised domain adaptation, which allows deep neural networks trained on a source domain to be tested on a different target domain without re…
Sliced Wasserstein Distance for Learning Gaussian Mixture Models
Soheil Kolouri, Gustavo K. Rohde, Heiko Hoffmann
Gaussian mixture models (GMM) are powerful parametric tools with many applications in machine learning and computer vision. Expectation maximization (EM) is the most popular algori…
Joint Dictionaries for Zero-Shot Learning
Soheil Kolouri, Mohammad Rostami, Yuri Owechko +1
A classic approach toward zero-shot learning (ZSL) is to map the input domain to a set of semantically meaningful attributes that could be used later on to classify unseen classes…
Discovery and visualization of structural biomarkers from MRI using transport-based morphometry
Shinjini Kundu, Soheil Kolouri, Kirk I Erickson +3
Disease in the brain is often associated with subtle, spatially diffuse, or complex tissue changes that may lie beneath the level of gross visual inspection, even on magnetic reson…