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pro vyhledávání: '"Morse, Bryan"'
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 connected points that doesn't rely on a particular sampling strategy. Addit
Externí odkaz:
http://arxiv.org/abs/2210.10123
Convolutional Neural Networks have revolutionized vision applications. There are image domains and representations, however, that cannot be handled by standard CNNs (e.g., spherical images, superpixels). Such data are usually processed using networks
Externí odkaz:
http://arxiv.org/abs/2207.08979
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 document image and task string as input and generates arbitrary text aut
Externí odkaz:
http://arxiv.org/abs/2203.16618
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 graph of text elements (the vertices) and uses a Graph Convolutional Ne
Externí odkaz:
http://arxiv.org/abs/2105.08194
Publikováno v:
In Ecological Modelling March 2024 489
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 single-word images, this model generates entire lines of offline handwritin
Externí odkaz:
http://arxiv.org/abs/2009.00678
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 we explore methods for applying neural style transfer to light field
Externí odkaz:
http://arxiv.org/abs/2002.11220
Automatic, template-free extraction of information from form images is challenging due to the variety of form layouts. This is even more challenging for historical forms due to noise and degradation. A crucial part of the extraction process is associ
Externí odkaz:
http://arxiv.org/abs/1909.02576
Autor:
Dente, Christopher J., Mina, Michael J., Morse, Bryan C., Hensman, Hannah, Schobel, Seth, Gelbard, Rondi B., Belard, Arnaud, Buchman, Timothy G., Kirk, Allan D., Elster, Eric A.
Publikováno v:
In Surgery November 2021 170(5):1574-1580
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