activity
20192022
most citedText and Style Conditioned GAN for Generation of Offline Handwriting Lines

19 citations · 20 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CV2022

Interpolated SelectionConv for Spherical Images and Surfaces

David Hart, Michael Whitney, Bryan Morse

We present a new and general framework for convolutional neural network operations on spherical (or omnidirectional) images. Our approach represents the surface as a graph of conne…

cs.CV2022

SelectionConv: Convolutional Neural Networks for Non-rectilinear Image Data

David Hart, Michael Whitney, Bryan Morse

Convolutional Neural Networks have revolutionized vision applications. There are image domains and representations, however, that cannot be handled by standard CNNs (e.g., spherica…

cs.CV2022★ 1 cited

End-to-end Document Recognition and Understanding with Dessurt

Brian Davis, Bryan Morse, Bryan Price +3

We introduce Dessurt, a relatively simple document understanding transformer capable of being fine-tuned on a greater variety of document tasks than prior methods. It receives a do…

cs.CV2021

Visual FUDGE: Form Understanding via Dynamic Graph Editing

Brian Davis, Bryan Morse, Brian Price +2

We address the problem of form understanding: finding text entities and the relationships/links between them in form images. The proposed FUDGE model formulates this problem on a g…

cs.CV2020★ 19 cited

Text and Style Conditioned GAN for Generation of Offline Handwriting Lines

Brian Davis, Chris Tensmeyer, Brian Price +3

This paper presents a GAN for generating images of handwritten lines conditioned on arbitrary text and latent style vectors. Unlike prior work, which produce stroke points or singl…

cs.CV2020

Style Transfer for Light Field Photography

David Hart, Jessica Greenland, Bryan Morse

As light field images continue to increase in use and application, it becomes necessary to adapt existing image processing methods to this unique form of photography. In this paper…