4 citations · 4 across the 3 of their papers we have counts for
6 papers
TRACE: A Differentiable Approach to Line-level Stroke Recovery for Offline Handwritten Text
Taylor Archibald, Mason Poggemann, Aaron Chan +1
Stroke order and velocity are helpful features in the fields of signature verification, handwriting recognition, and handwriting synthesis. Recovering these features from offline h…
Two-hand Global 3D Pose Estimation Using Monocular RGB
Fanqing Lin, Connor Wilhelm, Tony Martinez
We tackle the challenging task of estimating global 3D joint locations for both hands via only monocular RGB input images. We propose a novel multi-stage convolutional neural netwo…
Language Model Supervision for Handwriting Recognition Model Adaptation
Chris Tensmeyer, Curtis Wigington, Brian Davis +3
Training state-of-the-art offline handwriting recognition (HWR) models requires large labeled datasets, but unfortunately such datasets are not available in all languages and domai…
Convolutional Neural Networks for Font Classification
Chris Tensmeyer, Daniel Saunders, Tony Martinez
Classifying pages or text lines into font categories aids transcription because single font Optical Character Recognition (OCR) is generally more accurate than omni-font OCR. We pr…
Document Image Binarization with Fully Convolutional Neural Networks
Chris Tensmeyer, Tony Martinez
Binarization of degraded historical manuscript images is an important pre-processing step for many document processing tasks. We formulate binarization as a pixel classification le…
Analysis of Convolutional Neural Networks for Document Image Classification
Chris Tensmeyer, Tony Martinez
Convolutional Neural Networks (CNNs) are state-of-the-art models for document image classification tasks. However, many of these approaches rely on parameters and architectures des…