no code implementations • 19 Mar 2023 • Liu He, Yijuan Lu, John Corring, Dinei Florencio, Cha Zhang
Our empirical analysis shows that our diffusion-based approach is comparable to or outperforming other previous methods for layout generation across various document datasets.
no code implementations • 27 Nov 2018 • Wei Tang, John Corring, Ying Wu, Gang Hua
Printed text recognition is an important problem for industrial OCR systems.
Optical Character Recognition (OCR) Printed Text Recognition
no code implementations • 28 Jan 2016 • Mark Moyou, John Corring, Adrian Peter, Anand Rangarajan
In this work, we present a novel and practical approach to address one of the longstanding problems in computer vision: 2D and 3D affine invariant feature matching.
no code implementations • 13 Nov 2012 • Karthik S. Gurumoorthy, Anand Rangarajan, John Corring
We prove that the density function of the gradient of a sufficiently smooth function $S : \Omega \subset \mathbb{R}^d \rightarrow \mathbb{R}$, obtained via a random variable transformation of a uniformly distributed random variable, is increasingly closely approximated by the normalized power spectrum of $\phi=\exp\left(\frac{iS}{\tau}\right)$ as the free parameter $\tau \rightarrow 0$.