Nicholas I. Kolkin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
5
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICCV | SliderSpace: Decomposing the Visual Capabilities of Diffusion Models. | Rohit Gandikota, Zongze Wu, Richard Zhang, David Bau, Eli Shechtman, Nicholas I. Kolkin |
| 2025 | WACV | A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization. | Xingzhe He, Zhiwen Cao, Nicholas I. Kolkin, Lantao Yu, Kun Wan, Helge Rhodin, Ratheesh Kalarot |
| 2024 | CVPR | Personalized Residuals for Concept-Driven Text-to-Image Generation. | Cusuh Ham, Matthew Fisher, James Hays, Nicholas I. Kolkin, Yuchen Liu, Richard Zhang, Tobias Hinz |
| 2024 | ECCV | NeAT: Neural Artistic Tracing for High Resolution Style Transfer. | Dan Ruta, Andrew Gilbert, John P. Collomosse, Eli Shechtman, Nicholas I. Kolkin |
| 2024 | ECCV | DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer. | Dan Ruta, Gemma Canet Tarrs, Andrew Gilbert, Eli Shechtman, Nicholas I. Kolkin, John P. Collomosse |
| 2024 | ECCV | TurboEdit: Instant Text-Based Image Editing. | Zongze Wu, Nicholas I. Kolkin, Jonathan Brandt, Richard Zhang, Eli Shechtman |
| 2022 | ECCV | ARF: Artistic Radiance Fields. | Kai Zhang, Nicholas I. Kolkin, Sai Bi, Fujun Luan, Zexiang Xu, Eli Shechtman, Noah Snavely |
| 2021 | ICCV | Harnessing the Conditioning Sensorium for Improved Image Translation. | Cooper Nederhood, Nicholas I. Kolkin, Deqing Fu, Jason Salavon |
| 2020 | ECCV | Deformable Style Transfer. | Sunnie S. Y. Kim, Nicholas I. Kolkin, Jason Salavon, Gregory Shakhnarovich |
| 2019 | CVPR | Style Transfer by Relaxed Optimal Transport and Self-Similarity. | Nicholas I. Kolkin, Jason Salavon, Gregory Shakhnarovich |
| 2017 | ICCV | Training Deep Networks to be Spatially Sensitive. | Nicholas I. Kolkin, Gregory Shakhnarovich, Eli Shechtman |
| 2015 | ICML | From Word Embeddings To Document Distances. | Matt J. Kusner, Yu Sun, Nicholas I. Kolkin, Kilian Q. Weinberger |