| From word embeddings to document distances M Kusner, Y Sun, N Kolkin, K Weinberger International conference on machine learning, 957-966, 2015 | 1486 | 2015 |
| Style transfer by relaxed optimal transport and self-similarity N Kolkin, J Salavon, G Shakhnarovich Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 32 | 2019 |
| Diode: A dense indoor and outdoor depth dataset I Vasiljevic, N Kolkin, S Zhang, R Luo, H Wang, FZ Dai, AF Daniele, ... arXiv preprint arXiv:1908.00463, 2019 | 22 | 2019 |
| Training deep networks to be spatially sensitive N Kolkin, E Shechtman, G Shakhnarovich Proceedings of the IEEE International Conference on Computer Vision, 5668-5677, 2017 | 6 | 2017 |
| Deformable Style Transfer SSY Kim, N Kolkin, J Salavon, G Shakhnarovich arXiv preprint arXiv:2003.11038, 2020 | 5 | 2020 |
| Diverse sampling for self-supervised learning of semantic segmentation M Mostajabi, N Kolkin, G Shakhnarovich arXiv preprint arXiv:1612.01991, 2016 | 4 | 2016 |
| Stochastic covariance compression MJ Kusner, NI Kolkin, S Tyree, KQ Weinberger stat 1050, 4, 2014 | 2 | 2014 |
| Image Data Compression for Covariance and Histogram Descriptors MJ Kusner, NI Kolkin, S Tyree, KQ Weinberger arXiv preprint arXiv:1412.1740, 2014 | 1 | 2014 |
| Supplement: Style Transfer by Relaxed Optimal Transport and Self-Similarity N Kolkin, J Salavon, G Shakhnarovich | | |
