12 citations · 20 across the 7 of their papers we have counts for
9 papers
Ego2HandsPose: A Dataset for Egocentric Two-hand 3D Global Pose Estimation
Fanqing Lin, Tony Martinez
Color-based two-hand 3D pose estimation in the global coordinate system is essential in many applications. However, there are very few datasets dedicated to this task and no existi…
Generalizing Interactive Backpropagating Refinement for Dense Prediction
Fanqing Lin, Brian Price, Tony Martinez
As deep neural networks become the state-of-the-art approach in the field of computer vision for dense prediction tasks, many methods have been developed for automatic estimation o…
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…
Ego2Hands: A Dataset for Egocentric Two-hand Segmentation and Detection
Fanqing Lin, Brian Price, Tony Martinez
Hand segmentation and detection in truly unconstrained RGB-based settings is important for many applications. However, existing datasets are far from sufficient in terms of size an…
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…