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ORCIDNicholas I. Kolkin
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Conference and Workshop Papers
- 2024
[c7]Zongze Wu
, Nicholas I. Kolkin, Jonathan Brandt, Richard Zhang, Eli Shechtman:
TurboEdit: Instant Text-Based Image Editing. ECCV (80) 2024: 365-381- 2022
- [c6]Kai Zhang, Nicholas I. Kolkin, Sai Bi, Fujun Luan, Zexiang Xu, Eli Shechtman, Noah Snavely:
ARF: Artistic Radiance Fields. ECCV (31) 2022: 717-733 - 2021
- [c5]Cooper Nederhood, Nicholas I. Kolkin, Deqing Fu, Jason Salavon:
Harnessing the Conditioning Sensorium for Improved Image Translation. ICCV 2021: 6732-6741 - 2020
- [c4]Sunnie S. Y. Kim, Nicholas I. Kolkin, Jason Salavon, Gregory Shakhnarovich:
Deformable Style Transfer. ECCV (26) 2020: 246-261 - 2019
- [c3]Nicholas I. Kolkin, Jason Salavon, Gregory Shakhnarovich:
Style Transfer by Relaxed Optimal Transport and Self-Similarity. CVPR 2019: 10051-10060 - 2017
- [c2]Nicholas I. Kolkin, Gregory Shakhnarovich, Eli Shechtman:
Training Deep Networks to be Spatially Sensitive. ICCV 2017: 5669-5678 - 2015
- [c1]Matt J. Kusner, Yu Sun, Nicholas I. Kolkin, Kilian Q. Weinberger:
From Word Embeddings To Document Distances. ICML 2015: 957-966
Informal and Other Publications
- 2023
- [i14]Dan Ruta, Andrew Gilbert, John P. Collomosse, Eli Shechtman, Nicholas I. Kolkin:
NeAT: Neural Artistic Tracing for Beautiful Style Transfer. CoRR abs/2304.05139 (2023) - [i13]Dan Ruta, Gemma Canet Tarres, Andrew Gilbert, Eli Shechtman, Nicholas I. Kolkin, John P. Collomosse:
DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer. CoRR abs/2307.04157 (2023) - [i12]Xiaodan Du, Nicholas I. Kolkin, Greg Shakhnarovich, Anand Bhattad:
Generative Models: What do they know? Do they know things? Let's find out! CoRR abs/2311.17137 (2023) - 2022
- [i11]Nicholas I. Kolkin, Michal Kucera, Sylvain Paris, Daniel Sýkora, Eli Shechtman, Greg Shakhnarovich:
Neural Neighbor Style Transfer. CoRR abs/2203.13215 (2022) - [i10]Kai Zhang, Nicholas I. Kolkin, Sai Bi, Fujun Luan, Zexiang Xu, Eli Shechtman, Noah Snavely:
ARF: Artistic Radiance Fields. CoRR abs/2206.06360 (2022) - [i9]Xiaodan Du, Raymond A. Yeh, Nicholas I. Kolkin, Eli Shechtman, Greg Shakhnarovich:
Text-Free Learning of a Natural Language Interface for Pretrained Face Generators. CoRR abs/2209.03953 (2022) - 2021
- [i8]Nicholas I. Kolkin:
Non-Parametric Neural Style Transfer. CoRR abs/2108.12847 (2021) - [i7]Cooper Nederhood, Nicholas I. Kolkin, Deqing Fu, Jason Salavon:
Harnessing the Conditioning Sensorium for Improved Image Translation. CoRR abs/2110.06443 (2021) - 2020
- [i6]Sunnie S. Y. Kim, Nicholas I. Kolkin, Jason Salavon, Gregory Shakhnarovich:
Deformable Style Transfer. CoRR abs/2003.11038 (2020) - 2019
- [i5]Nicholas I. Kolkin, Jason Salavon, Greg Shakhnarovich:
Style Transfer by Relaxed Optimal Transport and Self-Similarity. CoRR abs/1904.12785 (2019) - [i4]Igor Vasiljevic, Nicholas I. Kolkin, Shanyi Zhang, Ruotian Luo, Haochen Wang, Falcon Z. Dai, Andrea F. Daniele, Mohammadreza Mostajabi, Steven Basart, Matthew R. Walter, Gregory Shakhnarovich:
DIODE: A Dense Indoor and Outdoor DEpth Dataset. CoRR abs/1908.00463 (2019) - 2017
- [i3]Nicholas I. Kolkin, Gregory Shakhnarovich, Eli Shechtman:
Training Deep Networks to be Spatially Sensitive. CoRR abs/1708.02212 (2017) - 2016
- [i2]Mohammadreza Mostajabi, Nicholas I. Kolkin, Gregory Shakhnarovich:
Diverse Sampling for Self-Supervised Learning of Semantic Segmentation. CoRR abs/1612.01991 (2016) - 2014
- [i1]Matt J. Kusner, Nicholas I. Kolkin, Stephen Tyree, Kilian Q. Weinberger:
Stochastic Covariance Compression. CoRR abs/1412.1740 (2014)
Coauthor Index
aka: Greg Shakhnarovich
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