Nicholas I. Kolkin

According to our database1, Nicholas I. Kolkin authored at least 15 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Generative Models: What do they know? Do they know things? Let's find out!
CoRR, 2023

DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer.
CoRR, 2023

NeAT: Neural Artistic Tracing for Beautiful Style Transfer.
CoRR, 2023

2022
Text-Free Learning of a Natural Language Interface for Pretrained Face Generators.
CoRR, 2022

Neural Neighbor Style Transfer.
CoRR, 2022

ARF: Artistic Radiance Fields.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Non-Parametric Neural Style Transfer.
CoRR, 2021

Harnessing the Conditioning Sensorium for Improved Image Translation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Deformable Style Transfer.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
DIODE: A Dense Indoor and Outdoor DEpth Dataset.
CoRR, 2019

Style Transfer by Relaxed Optimal Transport and Self-Similarity.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017
Training Deep Networks to be Spatially Sensitive.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Diverse Sampling for Self-Supervised Learning of Semantic Segmentation.
CoRR, 2016

2015
From Word Embeddings To Document Distances.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Stochastic Covariance Compression.
CoRR, 2014


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