Nicholas I. Kolkin

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 18

Top Topics

Neural Information Processing

Neural Architecture

Painterly Rendering

Top Venues

Publications

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 (2023)
Dan Ruta, Andrew Gilbert, John P. Collomosse, Eli Shechtman, Nicholas I. Kolkin
NeAT: Neural Artistic Tracing for Beautiful Style Transfer. CoRR (2023)
Xiaodan Du, Nicholas I. Kolkin, Greg Shakhnarovich, Anand Bhattad
Generative Models: What do they know? Do they know things? Let's find out! CoRR (2023)
Kai Zhang, Nicholas I. Kolkin, Sai Bi, Fujun Luan, Zexiang Xu, Eli Shechtman, Noah Snavely
ARF: Artistic Radiance Fields. ECCV (31) (2022)
Kai Zhang, Nicholas I. Kolkin, Sai Bi, Fujun Luan, Zexiang Xu, Eli Shechtman, Noah Snavely
ARF: Artistic Radiance Fields. CoRR (2022)
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 (2022)
Nicholas I. Kolkin, Michal Kucera, Sylvain Paris, Daniel Sýkora, Eli Shechtman, Greg Shakhnarovich
Neural Neighbor Style Transfer. CoRR (2022)
Nicholas I. Kolkin
Non-Parametric Neural Style Transfer. CoRR (2021)
Cooper Nederhood, Nicholas I. Kolkin, Deqing Fu, Jason Salavon
Harnessing the Conditioning Sensorium for Improved Image Translation. CoRR (2021)
Cooper Nederhood, Nicholas I. Kolkin, Deqing Fu, Jason Salavon
Harnessing the Conditioning Sensorium for Improved Image Translation. ICCV (2021)
Sunnie S. Y. Kim, Nicholas I. Kolkin, Jason Salavon, Gregory Shakhnarovich
Deformable Style Transfer. ECCV (26) (2020)
Sunnie S. Y. Kim, Nicholas I. Kolkin, Jason Salavon, Gregory Shakhnarovich
Deformable Style Transfer. CoRR (2020)
Nicholas I. Kolkin, Jason Salavon, Gregory Shakhnarovich
Style Transfer by Relaxed Optimal Transport and Self-Similarity. CVPR (2019)
Nicholas I. Kolkin, Jason Salavon, Greg Shakhnarovich
Style Transfer by Relaxed Optimal Transport and Self-Similarity. CoRR (2019)
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 (2019)
Nicholas I. Kolkin, Gregory Shakhnarovich, Eli Shechtman
Training Deep Networks to be Spatially Sensitive. CoRR (2017)
Nicholas I. Kolkin, Gregory Shakhnarovich, Eli Shechtman
Training Deep Networks to be Spatially Sensitive. ICCV (2017)
Mohammadreza Mostajabi, Nicholas I. Kolkin, Gregory Shakhnarovich
Diverse Sampling for Self-Supervised Learning of Semantic Segmentation. CoRR (2016)
Matt J. Kusner, Yu Sun, Nicholas I. Kolkin, Kilian Q. Weinberger
From Word Embeddings To Document Distances. ICML (2015)
Matt J. Kusner, Nicholas I. Kolkin, Stephen Tyree, Kilian Q. Weinberger
Stochastic Covariance Compression. CoRR (2014)