Nicholas Kolkin
Nicholas Kolkin
Phd Student, TTI-Chicago
Verified email at ttic.edu
Title
Cited by
Cited by
Year
From word embeddings to document distances
M Kusner, Y Sun, N Kolkin, K Weinberger
International conference on machine learning, 957-966, 2015
15082015
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
352019
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
232019
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
62017
Deformable Style Transfer
SSY Kim, N Kolkin, J Salavon, G Shakhnarovich
arXiv preprint arXiv:2003.11038, 2020
52020
Diverse sampling for self-supervised learning of semantic segmentation
M Mostajabi, N Kolkin, G Shakhnarovich
arXiv preprint arXiv:1612.01991, 2016
42016
Stochastic covariance compression
MJ Kusner, NI Kolkin, S Tyree, KQ Weinberger
stat 1050, 4, 2014
22014
Image Data Compression for Covariance and Histogram Descriptors
MJ Kusner, NI Kolkin, S Tyree, KQ Weinberger
arXiv preprint arXiv:1412.1740, 2014
12014
Supplement: Style Transfer by Relaxed Optimal Transport and Self-Similarity
N Kolkin, J Salavon, G Shakhnarovich
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Articles 1–9