| 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 | 235 | 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 | 172* | 2017 |
| Sliced Wasserstein kernels for probability distributions S Kolouri, Y Zou, GK Rohde Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 82 | 2016 |
| 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 | 77 | 2015 |
| Sliced Wasserstein auto-encoders S Kolouri, PE Pope, CE Martin, GK Rohde International Conference on Learning Representations, 2019 | 74* | 2019 |
| 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 | 51 | 2014 |
| 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 | 49 | 2014 |
| 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 | 44 | 2015 |
| 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 | 43 | 2018 |
| Deep transfer learning for few-shot sar image classification M Rostami, S Kolouri, E Eaton, K Kim Remote Sensing 11 (11), 1374, 2019 | 42 | 2019 |
| Generalized sliced Wasserstein distances S Kolouri, K Nadjahi, U Simsekli, R Badeau, GK Rohde arXiv preprint arXiv:1902.00434, 2019 | 41 | 2019 |
| 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 | 39 | 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 | 37 | 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 | 33 | 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 | 32 | 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 | 29 | 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 | 26 | 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 | 18 | 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 | 17 | 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 | 15 | 2018 |
Gustavo Kunde RohdeUniversity of VirginiaVerified email at virginia.edu
