no code implementations • 24 Oct 2024 • Yejing Xie, Richard Zanibbi, Harold Mouchère
Additionally, we propose a stroke-level Graph Modeling method for both local (LGM) and global (GGM) information, which applies an end-to-end model to Online HMER tasks, transforming the recognition problem into node and edge classification tasks in graph structure.
no code implementations • 24 Aug 2024 • Ben Giacalone, Richard Zanibbi
We then examine the effect of changing the number of [MASK] tokens from zero to up to four times past the query input length used in training, both for first stage retrieval, and for scoring candidates, observing an initial decrease in performance with few [MASK]s, a large increase when enough [MASK]s are added to pad queries to an average length of 32, then a plateau in performance afterwards.
no code implementations • 21 Aug 2024 • Richard Zanibbi, Behrooz Mansouri, Anurag Agarwal
This book begins with a simple framework characterizing the information tasks that people and systems perform as we work to answer math-related questions.
no code implementations • 17 Aug 2024 • Matt Langsenkamp, Bryan Amador, Richard Zanibbi
A Pyramidal Histogram Of Characters (PHOC) represents the spatial location of symbols as binary vectors.
2 code implementations • 20 Nov 2023 • Ayush Kumar Shah, Bryan Manrique Amador, Abhisek Dey, Ming Creekmore, Blake Ocampo, Scott Denmark, Richard Zanibbi
Most molecular diagram parsers recover chemical structure from raster images (e. g., PNGs).
Optical Character Recognition Optical Character Recognition (OCR)
no code implementations • 20 Nov 2021 • Behrooz Mansouri, Douglas W. Oard, Anurag Agarwal, Richard Zanibbi
There are now several test collections for the formula retrieval task, in which a system's goal is to identify useful mathematical formulae to show in response to a query posed as a formula.
1 code implementation • 18 Mar 2020 • Parag Mali, Puneeth Kukkadapu, Mahshad Mahdavi, Richard Zanibbi
We introduce the Scanning Single Shot Detector (ScanSSD) for locating math formulas offset from text and embedded in textlines.
no code implementations • 9 Dec 2019 • Shaurya Rohatgi, Wei Zhong, Richard Zanibbi, Jian Wu, C. Lee Giles
Query Auto Completion (QAC) is among the most appealing features of a web search engine.
no code implementations • CVPR 2016 • Siyu Zhu, Richard Zanibbi
We propose a system that finds text in natural scenes using a variety of cues.
no code implementations • 24 Oct 2014 • Christoph Riedl, Richard Zanibbi, Marti A. Hearst, Siyu Zhu, Michael Menietti, Jason Crusan, Ivan Metelsky, Karim R. Lakhani
We report the findings of a month-long online competition in which participants developed algorithms for augmenting the digital version of patent documents published by the United States Patent and Trademark Office (USPTO).