9 citations · 9 across the 1 of their papers we have counts for
2 papers
cs.CV2024★ 9 cited
FeatUp: A Model-Agnostic Framework for Features at Any Resolution
Stephanie Fu, Mark Hamilton, Laura Brandt +3
Deep features are a cornerstone of computer vision research, capturing image semantics and enabling the community to solve downstream tasks even in the zero- or few-shot regime. Ho…
cs.CV2021
Toward Automatic Interpretation of 3D Plots
Laura E. Brandt, William T. Freeman
This paper explores the challenge of teaching a machine how to reverse-engineer the grid-marked surfaces used to represent data in 3D surface plots of two-variable functions. These…