Soheil Kolouri
Soheil Kolouri
Research Scientist, HRL Laboratories, LLC.
Verified email at - Homepage
Cited by
Cited by
Image to image translation for domain adaptation
Z Murez, S Kolouri, D Kriegman, R Ramamoorthi, K Kim
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Optimal mass transport: Signal processing and machine-learning applications
S Kolouri, SR Park, M Thorpe, D Slepcev, GK Rohde
IEEE signal processing magazine 34 (4), 43-59, 2017
Sliced Wasserstein kernels for probability distributions
S Kolouri, Y Zou, GK Rohde
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
Sliced Wasserstein auto-encoders
S Kolouri, PE Pope, CE Martin, GK Rohde
International Conference on Learning Representations, 2019
Transport-based single frame super resolution of very low resolution face images
S Kolouri, GK Rohde
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
Accurate diagnosis of thyroid follicular lesions from nuclear morphology using supervised learning
JA Ozolek, AB Tosun, W Wang, C Chen, S Kolouri, S Basu, H Huang, ...
Medical image analysis 18 (5), 772-780, 2014
Generalized sliced Wasserstein distances
S Kolouri, K Nadjahi, U Simsekli, R Badeau, GK Rohde
arXiv preprint arXiv:1902.00434, 2019
Detecting and visualizing cell phenotype differences from microscopy images using transport-based morphometry
S Basu, S Kolouri, GK Rohde
Proceedings of the National Academy of Sciences 111 (9), 3448-3453, 2014
Deep transfer learning for few-shot sar image classification
M Rostami, S Kolouri, E Eaton, K Kim
Remote Sensing 11 (11), 1374, 2019
Sliced Wasserstein Distance for Learning Gaussian Mixture Models
S Kolouri, GK Rohde, H Hoffmann
IEEE Conference on Computer vision and pattern recognition, 3427-3436, 2018
The radon cumulative distribution transform and its application to image classification
S Kolouri, SR Park, GK Rohde
IEEE transactions on image processing 25 (2), 920-934, 2015
Explainability methods for graph convolutional neural networks
PE Pope, S Kolouri, M Rostami, CE Martin, H Hoffmann
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
A Transportation L p Distance for Signal Analysis
M Thorpe, S Park, S Kolouri, GK Rohde, D Slepčev
Journal of mathematical imaging and vision 59 (2), 187-210, 2017
A continuous linear optimal transport approach for pattern analysis in image datasets
S Kolouri, AB Tosun, JA Ozolek, GK Rohde
Pattern recognition 51, 453-462, 2016
The cumulative distribution transform and linear pattern classification
SR Park, S Kolouri, S Kundu, GK Rohde
Applied and computational harmonic analysis 45 (3), 616-641, 2018
Zero shot learning via multi-scale manifold regularization
S Deutsch, S Kolouri, K Kim, Y Owechko, S Soatto
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Detection of malignant mesothelioma using nuclear structure of mesothelial cells in effusion cytology specimens
AB Tosun, O Yergiyev, S Kolouri, JF Silverman, GK Rohde
Cytometry Part A 87 (4), 326-333, 2015
Discovery and visualization of structural biomarkers from MRI using transport-based morphometry
S Kundu, S Kolouri, KI Erickson, AF Kramer, E McAuley, GK Rohde
NeuroImage 167, 256-275, 2018
Acoustic tomography of the atmosphere using unscented Kalman filter
S Kolouri, MR Azimi-Sadjadi, A Ziemann
IEEE transactions on geoscience and remote sensing 52 (4), 2159-2171, 2013
Joint Dictionaries for Zero-Shot Learning
S Kolouri, M Rostami, Y Owechko, K Kim
The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 3431 …, 2018
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